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Speakers and Presentation Topics

(listed alphabetically, by speaker’s last name)

Artificial intelligence and the highly automated vehicle
Jeff Blackburn
North American Sales Manager
TASS International

Research in artificial intelligence began in the 1950s but progress has occurred in fits and starts. Beginning with rule-based systems, the field has largely moved to neural networks and machine learning. We have finally reached the point where artificial intelligence or machine learning is equaling or exceeding human capabilities in perception and classification. Deep learning algorithms using convolutional neural networks (CNNs) now have classification error rates of less that 4% and are being used in highly automated vehicles, particularly for vision processing. This talk will review the history of artificial intelligence, what has limited its development, why neural networks have replaced rule-based systems, how convolutional neural networks are constructed and trained, where they are being applied in highly automated vehicles, and why machine learning is now delivering some of the benefits imagined over 50 years ago when work first began in this area.

Biography: Jeff Blackburn is the North American Sales Manager for TASS International. In this role, he is responsible for educating customers in the use of software simulation tools used in the development of advanced driver assistance systems and autonomous vehicle control algorithms. Prior to joining TASS, Jeff held positions in controls and systems engineering with National Instruments, Takata, Fanuc Robotics, and Rockwell Automation. He has extensive professional experience in biomechanics, injury mechanisms and causation, occupant protection, testing, and regulatory requirements and regulatory process. Jeff has organized and presented at numerous technical forums. He has been issued twenty one U.S patents, primarily in the area of occupant safety. Jeff holds a BS in Engineering and a JD from the University of Akron.

Automotive sensor venture and M&A activity: an overview of the recent deals, trends, and developments
Rudy Burger, PhD
Managing Partner
Woodside Capital

Major drivers for growth in this market are the safety, security, and driver support segments. In particular, sensors for ADAS applications are expected to be a major growth area. Most of the major automotive OEMs, Tier 1 and Tier 2 suppliers are looking at acquisitions and strategic investments as a means for driving growth in this area. The emerging ADAS market has produced a significant number of financial transactions (venture and M&A) involving automotive sensing and vision systems. This talk will examine some of the recent high profile deals in the sector, emerging trends, and the likely winners and losers in the industry. The talk will focus in particular on companies and transactions in the LIDAR, radar, and camera (visible and IR) markets. We will also discuss the likely impact of ADAS on the traditional automotive supply chain.

Biography: For over 25 years, Rudy Burger has worked with computer vision, digital imaging and embedded camera technologies as a founder, operating executive and advisor. He has developed both a deep technical expertise and an awareness of market opportunity dynamics in these sectors that he leverages to guide his clients towards strategic successes. He currently focuses on the Advanced Driver Assistance Systems (ADAS) sector. Rudy is the Managing Partner of Woodside Capital Partners and works with growth stage technology companies to execute local and cross-border M&A transactions and private placements. His professional experience also includes executive roles with NEC, Visioneer and Xerox as well as founding the MIT Media Lab Europe. He currently serves on the board of Seeing Machines, plc (AIM: SEE). Rudy holds degrees from Yale (BSc and MSc in EE) and Cambridge (PhD in Digital Imaging).

Emerging trends in automotive LIDAR architectures
Jean-Yves Deschênes
Phantom Intelligence

The adoption of LIDAR by the automotive industry has accelerated the pace of change for this sensor technology. LIDAR is transforming to meet resolution, range, size, cost and reliability constraints of mission-critical detection in a vehicular environment. The last few years have seen an explosion of new technologies and business ventures addressing this challenge. LIDAR technology, once based on a rather uniform architecture model, has sprawled into a sometimes confusing variety of radically different sensors. To compare sensors and their applicability to specific needs, a basic "under-the-hood" understanding of the building blocks of LIDAR will be provided. The presentation will discuss the fundamentals of LIDAR detection methods and current trends at the sub-system level (laser emitters, beam steering, receivers, and processing techniques) that make various types of sensors unique and different, leading to a discussion on the emerging LIDAR sensors roadmaps, trends, and developments.

Biography: As Co-founder and President of Phantom Intelligence, a Tier Two company that develops core signal processing technology for use in LIDAR-based sensors, Jean-Yves Deschênes has been steering strategic orientations of technologies aimed at the automotive industry for the last seven years. Mr. Deschênes has a software engineering degree from Université Laval in Canada and over 30 years of combined software, optics and now LIDAR technology experience. Over those years, he has worked on many projects involving international collaboration and radical new uses of emerging technologies, projects that have set standards in their respective industries.

Position sensors in automotive applications: current and emerging trends
Mark Donovan
Senior Product Marketing Manager

The automotive industry continues to expand its use of position sensors for three main reasons: improving vehicle safety, increasing fuel efficiency and for providing an overall better driver/passenger experience. This talk will discuss the current and emerging applications for position sensors, ranging from simple static position detection and infotainment potentiometer replacement applications, to their use in highly dynamic applications such as, providing improved vehicle stability and enabling advanced electronic power steering systems, including the realization of autonomous driving vehicles. The talk will also discuss how magnetic and some non-magnetic position sensors (e.g. resolver and optical encoders) compete against one another, and the factors and design trade-offs between the different position sensor types. In addition, the presentation will provide an overview of the various types of position sensor solutions on the market today, including rotary, linear travel, and switch/latch position sensors, and the current and emerging trends in features and functions we are seeing today in the market for such devices.

Biography: Mark Donovan is a Senior Product Marketing Manager for ams AG’s Position Sensors Business Line. He is located in the greater Boston area, and has more than 30 years of semiconductor industry experience in magnetic sensing, telecom, and radar signal processing. He holds 8 patents, six of which are in the area of magnetic position sensing for automotive, robotic and industrial applications. Mr. Donovan holds a Bachelor of Science degree in Electrical Engineering from the University of Massachusetts, Lowell, as well as an MBA from Southern New Hampshire University.

Image and radar sensor fusion: advantages for autonomous driving applications
Dannie Feekes
Senior Principal Design Engineer
ON Semiconductor

As recently highlighted by several high-profile stories on autonomous driving related fatalities, there is a recognition and acceptance in the automotive industry that ADAS imaging solutions by themselves are insufficient. The industry is moving towards hybrid sensor solutions involving imaging and radar. In this presentation, we will look at and discuss the advantages and benefits provided by image radar sensor fusion. The focus of the talk will be on the implementation and benefits of single chip image signal processors capable of simultaneously receiving image and radar data, and producing an output image that contains a depth map per pixel with radar accuracy. We will discuss the strengths and weaknesses of each technology and how a tightly coupled signal processing architecture will use the strengths of each sensor to produce a solution with superior accuracy, power, and cost.

Biography: Dannie Feekes is a Senior Principal Design Engineer at ON Semiconductor and founder of IdentaChip. His current work is focused on image signal processors for autonomous driving applications in the automotive industry. He holds over 12 US and international issued patents and 23 pending patent applications. With over 27 years of processor design and architecture experience, he has worked with Intel, AMD, Cyrix, Micron, Montalvo Systems, and National Semiconductor to produce some of the world’s most successful microprocessor designs.

Protecting automotive sensors in connected cars: emerging trends with security vulnerabilities and solutions
Ben Gardiner
Principal Security Engineer

The increased connectivity and complexity in modern vehicles is resulting in new risks and threats to personal safety, security and privacy. Hackers continuously evolve their attack strategies and have exploited vulnerabilities to access a vehicle’s electronic control units (ECUs), controller area network (CAN) bus systems, or even sensors through the cloud or software pathways. Similar challenges have been experienced in other industries that have faced the digitization of assets and the addition of connectivity to their industry's services. To address these challenges, the industry must continue to make cybersecurity a priority by focusing on key vulnerabilities that hackers can exploit. Automotive sensors' designs – the embedded computers of which they are increasingly comprised – will be part of the solution in concert with other systems to protect connected vehicles. In addition, bus communications as well as firmware security should be considered in these designs in accordance with best practices. As connected vehicles become a target for hackers it will be critical for the automotive industry to recognize what systems in the vehicle are most vulnerable and implement effective security measures to address those vulnerabilities. This session will provide an overview of current threats targeting connected vehicles, hacker's motivations for attacking automotive sensors in a vehicle and security strategies to protect automotive sensors.

Biography: Ben Gardiner is a Principal Security Engineer at Irdeto and a member of the ethical hacking team, specializing in hardware and low-level software security. With more than 10 years of professional experience in embedded systems design and a lifetime of hacking experience, Mr. Gardiner has a deep knowledge of the low-level functions of operating systems and the hardware with which they interface. He brings this knowledge to Irdeto, a pioneer in digital platform and application security. With nearly 50 years of experience, Iredeto’s software security technology and cyber services protects more than 5 billion devices and applications against cyberattacks for some of the world’s best known brands. Prior to joining Irdeto in 2013, Mr. Gardiner held embedded software and systems engineer roles at several organizations. Mr. Gardiner has a Masters of Engineering in Applied Math & Stats from Queen's University. He is also a member of and a contributor to SAE TEVEES18A1 Cybersecurity Assurance Testing TF (drafting J3061-2) and the GENIVI security subcommittee.

Success factors for autonomous driving: implications for sensor developers
Colin Goldsmith
Managing Partner
P3 Group

The automotive industry is experiencing dramatic enhancements in vehicles’ capability to enhance the awareness and aid the driver in specific situations, taking the first steps toward semi-autonomous driving. Advancing towards SAE Level 4 autonomous drive will continue to push the complexity of the next generation of vehicles to adapt to an environment that was designed for human controlled transportation. This introduces significant challenges that the industry will need to face collaboratively to create products that can address the complexities of today’s environment, while having the ability to adapt the unpredictable evolution of the mobility ecosystem. This presentation discusses the success factors that systems integrators and sensor developers, the key contributors to the development of next generation autonomous vehicles, must maintain focus on as they design, develop and test these new products. This talk will take a holistic view of future technologies focused on a systems driven approach, perspectives on costs, and the user experience.

Biography: Colin Goldsmith is a Partner at P3 with his core area of expertise including connected vehicle system design and development, UX and advanced driver safety systems, and V2X and sensor fusion. With extensive experience in automotive and aerospace industries, he has led and executed many engineering consulting projects. Colin has served as a Lead System Engineer and Business Unit Leader over the past 14 years. Colin has broad expertise in system design and development as a software engineer and systems engineer. Based in Detroit, Michigan, Colin is in charge of P3’s Test and Validation, Systems Engineering, and Prototype and Test Equipment Business Units with the objective to further develop P3’s core competency and achieve corporate revenue objectives.

Sensor fusion: making sense of data from heterogeneous sensors in real time
Séamus Hatch
Vice President Sales, Market and Services

Advanced driver assistance systems (ADAS), such as adaptive cruise control and lane keeping assist, have created high-margin revenue streams for OEMs. They have also driven demand for increasingly sophisticated in-vehicle sensors. As we continue the journey from connected to fully autonomous vehicles, creating comprehensive situational awareness becomes essential to ensuring their safe and reliable operation. This necessitates the real-time integration of data from: (i) multiple sensors (e.g. surround video cameras); (ii) multiple classes of sensors (e.g. ultrasonic, radar, and LIDAR); (iii) intelligent infrastructure sensors (e.g. DSRC and soon 5G); (iv) instrumented surrounding vehicles (e.g. DSRC and 5G); and (v) older vehicles, people, animals and other obstacles. This talk explores the architectural options for sensor data integration with specific examples (such as Tesla’s post-Mobileye approach). We will present different approaches for balancing complexity, cost, and reliability. The critical issues of long term support and security will also be discussed.

Biography: Séamus Hatch is Vice President of Sales, Market and Services at, a leader in multi-level machine learning for embedded systems. He recently relocated to Ann Arbor after 16 years in Silicon Valley working on big data, SaaS, and complex industrial systems. Mr. Hatch is a Board level advisor to a number of companies developing connected and autonomous vehicle technology. Mr. Hatch holds Bachelor of Science degrees in Computer Science and Finance from University of Manchester, UK.

A review of intellectual property cases involving ADAS and autonomous vehicle technologies
Richard Hoffmann
Reising Ethington

The discussion will focus on currently pending and recently resolved intellectual property cases involving ADAS and autonomous vehicle technologies. The cases to be discussed involve issues of patent infringement, patent validity, breach of employment contracts and trade secret misappropriation. The parties to the cases will be identified. A brief overview of the technology involved in each case will be provided. The current status or final disposition of each case will also be discussed. Cases from Michigan involving Magna Electronics, Inc., Delphi Automotive PLC, Valeo, Inc. and Toyota Motor Corporation will be included. In addition, two cases currently pending in California, Quanergy Systems, Inc., v. Velodyne LiDAR, Inc. and the highly contentious Waymo LLC v. Uber Technologies, Inc., will be discussed. Particular attention will be given to the Waymo case, including the civil and potential criminal aspects of the case.

Biography: Rick Hoffmann is a shareholder in the firm of Reising Ethington, PC in Troy, MI and has more than 30 years of experience in the intellectual property field. He has a BS in Chemical Engineering from Michigan Technological University and a law degree from Michigan State University College of Law. He focuses his practice on intellectual property litigation, having been lead counsel in well over 75 intellectual property cases in courts throughout the United States. He has argued cases before the U.S. Courts of Appeals for the Federal and 6th Circuits, and was co-counsel with now Chief Justice of the United States, John Roberts, in a case before the U.S. Supreme Court. He is also co-author of the case book, Cases and Materials on Patent Law Including Trade Secrets, 7th edition.

The next level of pressure sensing: trends and solutions for automotive applications
Martin Kümmel
Business Development Manager
First Sensor Mobility

Automotive OEMs are faced with several challenges all over the world. New environmental requirements, standards for functional safety (ASIL), price competitiveness, alternative driving technologies – all of these are synonyms for one fact: new applications and their corresponding requirements, with which sensors also have to comply. This talk focuses on some of the emerging applications and technologies of automotive pressure sensing such as exhaust gas treatment with selective catalytic reduction (SCR), diesel particle filter (DPF), exhaust gas recirculation (EGR) and, in general, the rising of the exhaust temperature. Other addressed topics will include heating, ventilation, and air conditioning (HVAC) systems, as well as engine management, alternative fuels, tank management and hydraulic fluids. We will also provide a case study which discusses customized pressure sensing solutions for these applications, and a recently developed new hermetic pressure sensing technology for medium and high-pressure applications (10-3000 bar). The presentation will also include an overview of existing and emerging automotive pressure sensing applications, and the corresponding upcoming trends.

Biography: Martin Kümmel is Business Development Manager for Pressure Sensors at First Sensor Mobility GmbH, the automotive and off-highway division of First Sensor AG. Prior to accepting this strategic role, he held positions in supply chain management and project management. This background has exposed him to a broad range of perspectives in the design, development, and application of automotive pressure sensors and qualified him to lead the First Sensor team to new pressure sensor solutions for the automotive industry. Mr. Kümmel holds a diploma of Industrial Engineering from Dresden University of Applied Sciences.

Existing and emerging uses of high temperature sensors in automotive applications
Masaaki Minami
Technology Marketing Manager

In recent years, environmental requirements have been implemented to improve automotive fuel efficiency. To make these improvements, one known technique is to reduce CO2 emissions by improving the measurement accuracy of the engine at high temperature. Another technique is to detect soot in the exhaust stream and control the fuel ratio to optimize the combustion. We will also show two of our developed technologies to meet demands for fuel efficiency. To minimize CO2, we have developed a platinum-based system for high temperature sensor elements. These sensors can measure 1,000°C exhaust gas. For soot measurement, we developed a new sensor element using a nonprecious metal on ceramic. This sensor is able to detect soot in exhaust gas and it does not cause catalysis with soot. It can measure soot in exhaust environments up to 500°C. The presentation will also provide a comprehensive overview of the existing and emerging uses of high temperature sensors in automotive applications.

Biography: Masaaki Minami holds a Bachelor of Engineering degree in Electric Engineering from Kagoshima University in Japan, and has over 20 years’ experience in the packaging for semiconductor industry for various markets, including automotive sensor. He is currently working Kyocera International Inc., as Technical Marketing Manager, located in Fremont CA. He is responsible for supporting several areas of ceramic packaging including design, engineering and technology development.

Embedded deep learning for automated driving
Mihir Mody
Senior Principal Architect for Automotive Business
Texas Instruments

Automated driving functions, like highway driving and parking assist , are getting deployed in high-end cars with the trend moving towards the self-driving car. Deep learning techniques like convolution neural network (CNN) are one of the key enablers to achieve these functionalities. This talk starts with an introduction to automated driving and role of deep learning in various functions of automated driving. For mass-market deployment, the embedded solution is required to address the right cost and performance envelope along with security and safety. In the case of automated driving, one of the key topics is “finding drivable free road space”, which is typically solved using deep learning techniques like CNN. These CNN networks pose huge computing requirements in terms of hundreds of GOPS/TOPS (giga or tera operations per second), which seems beyond the capability of today’s embedded SoC. This talk explains a novel approach of mapping such high computing CNN networks to today’s embedded solution. This talk concludes by showing the results of a CNN network running in real time on TDA2X SoC, producing a high-quality drivable space output.

Biography: Mihir Mody is the Senior Principal Architect for Automotive Business at Texas Instruments (TI) Incorporated. He has 17+ years of experience in embedded domain, spanning across roadmap definition, algorithm, architecture, and HW IP design and software. His area of interests are image processing, computer vision, machine/deep learning, autonomus driving and video coding. He was awarded to the Senior Member of technical staff (SMTS) in 2014 for contribution to TI. He has filed and been granted multiple patents and published multiple IEEE conference papers. He holds a Master of Engineering (ME) degree from the Indian Institute of Science (IISc) and a Bachelor of Engineering (BE) from GCOEP.

Automated vehicles sensors security
Jonathan Petit, PhD
Senior Director of Research
OnBoard Security

Automated vehicles require enormous amounts of sensor data to make the appropriate driving decisions. But what happens if the sensor data is not real? Indeed, poor sensor data will trigger poor driving decisions, and thus, requires protection against malicious input. In this talk, the security challenges for automated vehicle sensors will be presented. We will cover all AV sensors, and will especially focus on LIDAR, radar, and camera sensors because these are paramount to the automated vehicles mission. After presenting already-demonstrated and potential attacks (jamming, spoofing, etc.), hardware and software countermeasures will be laid out along with a discussion of their feasibility. This talk will conclude with a proposed roadmap to secure automated vehicles. The main goal for this talk is to raise the awareness of adversarial inputs to sensors and initiate cross-cutting discussions with subject matter experts.

Biography: Dr. Jonathan Petit is the Senior Director of Research for OnBoard Security, Inc. He is in charge of leading projects in security and privacy of automated and connected vehicles. He has conducted extensive research in detecting security vulnerabilities in automotive systems. He published the first work on potential cyber attacks on automated vehicles and has supported communications security design and cybersecurity analysis through OEM and NHTSA-sponsored projects. He received his PhD in 2011 from Paul Sabatier University, Toulouse, France. OnBoard Security is a leading provider to the Vehicle-to-Vehicle (V2V) security, trusted computing and advanced cryptography markets.

Technology Showcase Presenters

(listed alphabetically, by speaker’s last name)

Tony Gioutsos
Director of Sales and Marketing
TASS International

Ron Kereliuk
Director of Sales
IEE Sensing

Jayson Pankin
Co-founder, President and CEO

Kaori Shoji
Sales Representative
Furuya Metal Americas

Past Speakers

Many thanks to the ASE 2016 speakers.

Optimizing resolution and cost of lidar sensors in a fusion environment
Jean-Yves Deschênes
Phantom Intelligence

While the lidar industry is pursuing very high-density point clouds that are used in mapping applications, ADAS functions such as collision warning can rely on much less dense distance data for collision-warning estimation; within that, cameras can handle the high density required for obstacle classification. To optimize costs, a variety of densities can be used for different applications (i.e., high-density for frontal collision and navigation purposes and lower pixel densities for side or rear collision-warning). New lidar technology alternatives including solid-state, MEMS-scanned, mechanically-scanned and phase-array techniques, promise to make lidar sensing even more cost competitive. The problem now is choosing the right technology from the available alternatives. In addition to explaining the nuances of the available and emerging technologies, this presentation will discuss the selection criteria for various lidar solutions so both system designers and users can pursue the most cost-effective one for their design.

Biography: As co-founder and President of Phantom Intelligence, a developer and manufacturer of collision warning sensors and components based exclusively on lidar technology, Jean-Yves Deschênes oversees the definition of strategic orientations and manages the resources required for the executing the company’s strategic objectives. In this role he contributes to the company’s international visibility and to the adoption of its solutions. Deschênes has a computer science degree from Université Laval in Canada and over 30 years of combined software, optics and now lidar technology experience as well as extensive experience on projects involving international collaborations and radical new uses of technology

Inertial sensors and their role in autonomous driving applications
Marco Ferraresi
Business Unit Manager

Vehicles are becoming safer, greener, and more connected. The route to autonomous driving will increasingly depend on sensor fusion and inertial sensors will play a key role in these developments. This presentation will focus on two key areas for automotive inertial sensors. Firstly, the use of sensors in inertial measurement applications, using dead-reckoning algorithms to complement GNSS derived navigation data. Inertial sensors can increase positioning accuracy in critical situations of weak signals and urban "canyoning". Secondly, their use in the domain of active safety applications including stability control, roll prevention, vertical dynamics, and advanced braking systems where they provide higher performance, and contribute to the required ASIL level of the whole system. In each case, the current application requirements and the available sensor technologies, along with integration capabilities both at silicon and package levels will be described, as well looking at how future developments in inertial sensors will transform the way we drive.

Biography: Marco Ferraresi, Italian, was born in 1965 and has more than 20 years of experience in the semiconductor industry across different segments, along with a broad international working exposure, including a long-term assignment in Taiwan for marketing and application, responsible for industrial and power products in the Asia Pacific region. He has been working on MEMS sensors for the past ten years and has contributed to the definition of products and strategies for the correct positioning of STMicroelectronics as sensors supplier to the automotive industry. Marco is currently in charge of the technical marketing activities for inertial sensors in automotive, medical, and industrial applications within the MEMS Sensors Division of STMicroelectronics' Analog & MEMS Group (AMG). Marco has a scientific background and holds a degree in Electronic Engineering issued by the Politecnico of Milan, as well as a Master's degree in Business Administration from the Saint Xavier University in Chicago, Illinois.

Guilty until proven innocent: why sensors suppliers can be falsely blamed for vehicle system performance issues
Dan Foley
Director of Sales
Audio Precision

As more sensors get integrated with complex vehicle systems, infotainment and telematics for examples, the sensor signal path will invariably pass through many stages that are typically not under the design control of Tier 2 and 3 suppliers. Examples can include digital signal processing algorithms (e.g. voice enhancement and acoustic noise control), radio frequency transmit-and-receive stages in Bluetooth-enabled head units, and multi-channel Class D audio amplifiers. In addition, sensor placement, especially for MEMS microphones, can impact performance. As such, sensors suppliers can be falsely blamed for system-level "issues" when the root-cause is further upstream in the signal path. This talk will present how design decisions outside of the control of Tier 2 and 3 suppliers can impact sensor performance even though the sensor itself is a robust design. Examples of MEMS microphones integrated in hands-free communication and ANC applications will be used but the overall concepts will apply to any sensor.

Biography: Dan Foley has been in the audio test and measurement industry for over thirty-five years and has a broad background in analog and digital audio test, acoustics, electroacoustics, telecom audio, as well as vibration measurement and analysis. He is a member of the Audio Engineering Society (AES) and IEEE, and has many close ties to the audio industry, having worked for the likes of Bose, Listen, and Brüel & Kjær. Dan has developed and taught seminars regarding digital signal processing techniques used in acoustic, vibration and audio test and measurement applications. He currently serves on the IEEE Transmission Access & Optical Systems Committee as well as on standards committees of AES. Dan is also an Adjunct Faculty Member at Worcester Polytechnic Institute where he is developing a curriculum in audio product design engineering. Dan is a published author of ASME and AES and has an engineering degree from the University of Hartford.

Engine and gearbox control: future sensor requirements for emission reductions
Johannes Giessibl
Senior Magnetoelastic Project Manager
Methode Electronics

This talk will provide a comprehensive overview of upcoming emission and fuel economy targets, which require new control strategies, especially as related to torque sensing. To address the exploitation of loopholes and tolerances in the official laboratory based New European Driving Cycle (NEDC) testing to produce flattering results, the European authorities (EU National Emission Ceilings Directive) have been developing a test based on real-world conditions. This new test is called Worldwide Harmonized Light Vehicle Test Procedure, or WLTP. There are numerous external factors governing emission and fuel economy such as vehicle weight, climatic conditions, driving style, terrain, and others. Torque sensors provide a way to acquire real-time signals for engine and gearbox control, and to consider factors that contribute to poor emission control and fuel economy. Examples include: (1) misfire and engine knock detection over the full RPM range of the engine, (2) engine control through the sensing of each single cylinder and compensation for tolerances engine to engine, cylinder balancing, and fuel and air composition variability, and (3) gearbox control torque sensors with the possibility to improve clutch control and bucking behavior as well as efficiency.

Biography: Johannes Giessibl has been Senior Magnetoelastic Project Manager at Methode Electronics International since September 2012 and is located in the greater Munich area in Germany. He has 12 years of experience in engine and gearbox sensor development including extensive testing with several OEMs. Johannes is responsible for a team with more than 10 engineers, which are coming from multiple disciplines including physics, electronics and mechanical engineering. In recent years, he was in charge of launching the first high-volume direct measurement torque sensors in automotive and industrial applications. He has an Industrial Engineering degree from FH Rosenheim and, while starting in sales positions, ended up being responsible for engineering and R&D of the magnetoelastic sensor technology. Before he joined Methode Electronics, from 2006 until 2012, he was the leading developer at Formula One with a focus on KERS torque sensors, gearbox torque sensors, driveshaft torque sensors, and wheel gun torque sensors.

Putting the driver at the heart of your autonomous vehicle strategy: what it means for the market deployment of ADAS-based sensor technologies
Jeffrey Hannah
Director, North America

Where do consumers fit into the rapidly evolving autonomous car ecosystem, and under what conditions will they (ever) be ready to accept the technologies you are deploying? This presentation will share fresh insights from the industry’s largest ever consumer study on autonomous vehicles, and how these findings will impact your sensor selection and strategic decisions on the road to autonomy. We will further identify the key factors driving ADAS-based sensor growth, insightful market forecasts for sensor technologies, as well as detail today's vehicle decision journey, who meets the ADAS "sweet spot", and share why some consumers will reject tomorrow's highly automated advanced driving systems before they even reach deployment. Almost every other industry starts with the voice of the consumer and works backwards to design a compelling solution -- why should we be any different? Ensure that the voice of the consumer, and your sensor rollout, go hand in hand.

Biography: Jeff has more than fourteen years' experience in the automotive technology industry, as well as working with cutting-edge high technology companies from around the globe. Prior to his role with SBD, Jeff was a leading member of General Motor's Global Connected Consumer Experience organization which included the industry's leading Telematics service, OnStar, as well as Infotainment strategic planning. He holds a bachelor's degree from the University of Michigan and an MBA from UCLA's Anderson School. He is based in Ann Arbor, Michigan, USA. SBD ( is the world's leading knowledge partner to the global automotive industry, and works with 90% of vehicle manufacturers and most of their partners helping them choose the right technologies, select the optimal partners, and develop winning market strategies. SBD exclusively covers key innovations in the connected car (infotainment, telematics, apps), autonomous car (ADAS, V2X, autonomous vehicles, sensors), and secure car (mechanical and automotive cyber-security).

Advanced packaging technologies for emerging and future automotive radar solutions
Babak Jamshidi, PhD
Associate Director of Product Technology Marketing

Recent trends impacting the automotive industry, such as autonomous cars (self-driving or driverless) and increasingly strict government regulations, have set new milestones for advanced driver assistance systems (ADAS) and subsequently the radar system solution providers. The requirements for forward sensing and advanced maneuvering (cross traffic, automated lane change, obstacle detection, etc.) have fueled a number of development efforts in high frequency radars (77~79GHz) and optical radars (infrared or light emitting) for various detection ranges, primarily medium and long ranges. In this presentation, we will review how the advancement in semiconductor packaging technologies can enable high performance solutions at competitive costs compared to the traditional radar modules. This talk will provide an overview of the main packaging service providers for automotive applications, typical packages used in the automotive industry, existing packaging challenges and examples of failures, emerging packaging technology trends and roadmap evolution, as well as radar-specific packaging challenges and trends. We will also discuss and review how fan-out wafer level packaging (FOWLP) can enable much higher signal integrity compared to the incumbent package types. In addition, the talk will cover a variety of customized laminate package types which can enable optical system-in-package (SiP) solutions for detection purposes.

Biography: Dr. Babak Jamshidi is cuMasaaki rrently STATS ChipPAC's Associate Director of Product Technology Marketing at STATS ChipPAC, leading the MEMS and sensor product business development for the company. Before joining STATS ChipPAC, he was a Senior Principal at FormFactor Inc., managing the development of advanced MEMS based wafer probe card solutions. Dr. Jamshidi has over 10 years of experience in semiconductor design and manufacturing, including extensive experience in the field of microfabrication and waferFitzgerald processing. Dr. Jamshidi received his Ph.D. in Mechanical Engineering from University of California at Berkeley and has several journal and conference publications as well as patented inventions in the field of MEMS.

ADAS sensor architectures: evolution towards autonomous cars
Akhilesh Kona
Senior Analyst, Automotive Semiconductors
IHS Technology

An autonomous car is the main vision of the automotive industry for the next decade. Implementing intermediate milestones through advanced driver assistance (ADAS) functions is essential to achieve a fully autonomous car. From the industry point of view, realizing the new technology needs with reasonable costs is a key requirement for deploying autonomous cars on a large scale. As a result, the ADAS sensor architectures are evolving to support the implementation of growing autonomous functions on car platforms. This presentation will provide a comprehensive overview of how the ADAS electronic control unit (ECU) architectures have evolved and changed in different vehicle segments during the past decade and the sensor architectures for the car of future -- if "smart" or "dumb"? The focus of the talk will also be on the key semiconductor technologies enabling newer ECU architectures, the challenges related to sensor fusion, and the consequent impact on automotive supply chain.

Biography: Akhilesh Kona covers the area of automotive semiconductors and sensors with a focus on autonomous cars, advanced driver assistance systems (ADAS) and body electronics. He is primarily responsible for market research on sensors and semiconductors content including various technology trends and architectural developments in the field of autonomous cars. Before joining IHS, Akhilesh worked in the automotive semiconductor industry at Freescale and also on embedded systems for industrial automation at CMC Limited. Akhilesh has a Master's degree graduate in Electrical Engineering from Deggendorf University of Applied Sciences in Germany.

Advanced driver assistance and autonomous systems: a sense of reality
Alan Thomas
Director of Research and Consultancy

Autonomous vehicles must exceed the human ability to cope in all possible situations if they are to reduce accident rates and meet the expectations of OEMs, policy makers and the public – especially those with restricted mobility who have been promised so much. ADAS can avert collisions in situations coded into their algorithms, but humans can and do also perform better in ambiguous and deviant circumstances which could mislead even deep-learning artificial intelligence. In this presentation, we will present research results from European real-world situations and compiled scenarios for implementation in-system testing at various levels. We will also present examples and relate human driver failure rates to potential failures in the scenario sensor assessment, decision controller, and vehicle dynamics chain. Among the examples will be: errors due to limitations of one or more sensor technologies in isolation, conflicts between different sensor inputs, including false positives and false negatives pointing to the need for multiple redundancy, and data fusion.

Biography: Alan Thomas graduated in Automotive Engineering at Loughborough, researching crashworthiness and ergonomics of safe driving. He has worked on over 100 vehicle models, largely in crashworthiness design, testing, and vehicle body manufacture, and lead Jaguar Cars' body research including aluminum technology. While leading Ford pedestrian protection research, Alan obtained funding for UK field research into vehicle collisions with pedestrians and cyclists, including causation and human factors. This work supported his leading role in regulatory development. Next, he managed the EU RoadSense project assessing positive and negative effects of Advanced Driver Assistance Systems (ADAS) on driver performance, followed by a safety regulations function in Jaguar Land Rover. In 2013, he established CAVT Ltd in Loughborough, supporting crash and active safety regulatory and NCAP test and development of cars and trucks for a global OEM, advising specialist car manufacturers, tier 1-3 suppliers, supporting engineering education, and conducting in-house and collaborative research.

Printed electronics solutions for automotive sensors applications
John Voultos
Global Business Development Manager

As demanded by their design organizations, automotive companies have been searching for the past decade for solutions to move away from printed circuit boards, as they have been looking for alternative substrates or solutions. The printed electronics technology is rapidly evolving to deliver unique automotive sensor solutions for soft touch, gestures, heating and wellness. In order for plastics and fibers to be functional, this necessitated the development of new materials to accommodate thermo-forming, injection molding, and stretch capabilities. Additionally, the materials development for printed electronics requires the need for customized solutions as the applications can be diverse. Recent trends for smart materials facilitated the need for materials to include higher resolution, faster processing, increased flexibility, and often at lower temperatures. In some cases, established polymers may be employed to offer a solution while in other cases new organic/inorganic combinations must be utilized. This talk will provide a comprehensive overview of existing and emerging printed electronics solutions for automotive sensors applications. Various conductors, dielectrics, and resistors will be presented as novel solutions for touch, gesture, wellness and heating automotive applications. The talk will also briefly discuss polymer thick film (PTF) ink or paste solutions in printed electronics. The delivery of these printed technologies utilizes standard screen-printable roll-to-roll methods to reduce assembly steps and deliver improved performance at a lower total cost of ownership.

Biography: John D. Voultos is the Global Business Development Manager for DuPont Photovoltaics and Advanced Materials (PVAM) Division. John has a Business of Science degree in accounting and management from Northeastern University. Over his 29-year career, John experienced various roles and businesses responsibilities, starting his career in the DuPont Auditing organization then following the traditional financial leadership development program in Accounting and Finance as an Accounting Analyst, Business Analyst, Controller, then leading the Mergers and Acquisition effort for DuPont Tyvek®. Because of John's success in acquiring companies, his career led him to into a totally new direction the business side of the DuPont portfolio. Over the last twenty years John had roles as Strategist, Sales, Business Leadership, Product Management, Project Leader, Technical Management and New Business Development. In John's current role over the last two years, he is leading DuPont Global business for human-machine interface and automotive interiors.

(2016 Platinum Sponsor presentation)

High performance MEMS for automotive applications
Stefano Zanella, PhD
Director, Automotive Product Marketing

Common MEMS sensors are accelerometers, gyroscopes, pressure sensors (e.g. microphones), barometers, etc. MEMS have been commonplace in automotive for many years, initially replacing other sensors with cheaper and more reliable MEMS (for instance g switches in airbag crash detection) and then enabling new applications or greatly improving existing applications. Today, MEMS are used in all sorts of applications like rollover detection, dynamic vehicle control, image stabilization, dead reckoning, eCall, adaptive cruise control, etc. In this talk we will discuss what MEMS are, the main types of MEMS sensors, the advantages and trade-offs of using MEMS in automotive applications, and we will finish by looking at InvenSense’s portfolio of high performance MEMS sensors and how its combination of hardware and software solutions can reduce development time and improve time to market.

Biography: Stefano Zanella is the Director of Automotive Product Marketing at InvenSense where he brings MEMS sensors (accelerometers, gyroscopes, microphones, etc.) to the automotive market. Stefano holds an MS and a PhD in Electrical Engineering from the University of Padova, Padova, Italy and MBAs from the UC Berkeley Haas School of Business and from Columbia University. Prior to his present position, Stefano was the Director of Automotive Marketing and Business Development in Texas Instruments' Battery Management Solutions. Between 2008 and 2016 Stefano also held several positions at Texas Instruments where he managed Marketing, Applications, and System Engineering and defined several Integrated Circuits. Between 2000 and 2007 he was at PDF Solutions Inc. where, before moving to Business Development, he managed several software projects and was in charge of the Quality and Release Engineering Department. In 1999-2000 he was a visiting scientist at UC Berkeley Electrical Engineering and Computer Science Department. Stefano started his career at ST Microelectronics where he worked on the statistical characterization of the performance of integrated circuits. Stefano has published in IEEE journals, conference proceedings, contributed articles to automotive magazines, and has spoken at several automotive conferences, panels, and workshops. Stefano is also active in the not-for profit world where he serves on the board of Urban Services YMCA, the social services branch of the YMCA of San Francisco.

(2016 Technology Showcase speakers – listed alphabetically, by company name)

Probers with physical stimulus – new era for MEMS final testing
Vesa Henttonen
Afore Oy

Afore, a Finnish MEMS company, has delivered enhanced test systems for MEMS industry over 15 years and wants to offer the most feasible solutions for the future. There are two major test challenges facing the MEMS industry, one being economical and the other technical. Due to sensor price dilution there is huge pressure against the cost of test. In addition, the sensors are getting smaller and smaller, which makes handling in traditional manners more complicated. This presentation shows how a prober with physical stimulus is an excellent response to these challenges. Afore offers probers for both inertial and environmental sensor testing. The advantages of using a stimulus prober in MEMS final testing are: high capacity, short process, jam free operation, smooth handling, versatility, and reliability with miniature sensors. All of these lead to the lowest cost of test.

Biography: Vesa Henttonen received his Master degree in Mechanical Engineering at 1989 and after that worked for two consulting engineering companies in his early career. At 1995 he established Afore Oy, a Finnish MEMS company specialized in testing, and since then he has been the Main owner and CEO of Afore. Mr. Henttonen has almost 20 years’ experience in MEMS testing, especially in field of automotive MEMS final testing and testing of MEMS at wafer level. Mr. Henttonen has always believed in strong R&D and Afore has been able to develop, manufacture and deliver dozens of intelligent test systems for MEMS industry needs.

AutoHarvest ecosystem welcomes the engineer
Jayson Pankin
Co-founder, President and CEO
AutoHarvest Foundation

AutoHarvest Foundation, a 501(C)3 nonprofit, created and operates a unique innovation ecosystem led by some of the most highly respected figures in the automotive and manufacturing industries. In 2012, was launched as the world’s only truly neutral and global on-line meeting place for innovators of all types with an interest in advanced manufacturing. This system allows users of all types to showcase capabilities, technologies and needs system-wide and then privately connect with fellow inventors and commercializers to explore technology and business development opportunities of mutual interest. The AutoHarvest interest group consists of over 300 prominent R&D and manufacturing organizations from industry, government and academia. Please visit

Biography: Jayson D. Pankin is a founder, President, and CEO of the nonprofit AutoHarvest Foundation. Jayson and his partner, Dr. David E. Cole, created a unique innovation ecosystem led by some of the most highly respected figures in the automotive and manufacturing industries. In 2012, was launched as the world’s only truly neutral and global on-line meeting place for innovators of all types with an interest in advanced manufacturing intellectual property. From 2003-2010 he led Delphi Automotive’s commercialization activities targeting spin-outs of potentially disruptive technologies into start-up companies. Jayson has been a venture partner specializing in early stage and turnaround situations. He was named by IAM Magazine for two years running as one of the World’s Leading IP Strategists. He earned his BBA in Accounting and MBA in International Business at the George Washington University.

nCapsulate freeform packaging for automotive MEMS: delivering system benefits by shaping the package to the application needs
Oliver Maiwald

nCapsulate provides the ultimate packaging solution. Capable of embedding electronic and mechanical systems together, it enables unique integration possibilities resulting in a wealth of benefits and cost savings for manufacturers. Sencio’s plastic encapsulation for MEMs and sensors is a cost-effective process with a number of benefits. It allows the sensor surface of the system to be partially exposed to the environment while protecting the embedded sensor and interconnections (wires) against destructive elements, including stress and hazardous gases and fluids. This functional packaging is highly versatile, and is compatible with technologies from exposed die molding to multi-die packaging SiP (System in Package), among many others. nCapsulate enables complete freedom of package shape, or freeform encapsulation. The package can be accurately shaped to the exact requirements of the application.

Biography: After developing DECT hardware and software applications at Höft & Wessel, Oliver began his semiconductor career at National Semiconductor as a product application engineer. Here he gained both technical and customer expertise, working on everything from RF and software to full applications. He then went into product marketing at Dialog Semiconductor, where he led efforts to integrate DECT into Internet access devices, invented DECT ULE and took part in DECT standardizations at ETSI. Oliver started to lead Sencio on March 1, 2014. Oliver holds a Master’s degree in telecommunication engineering from the University of Hannover in Germany.

Advanced physics based sensor simulation approaches for testing automated and connected vehicles
Tony Gioutsos
Director of Sales and Marketing, Americas
TASS International

In order to provide a “due care” testing approach to automated and connected vehicle technology, an advanced sensor simulation must be involved. Although real-world or field tests are required as well as test track testing, simulation can provide a bulk of the testing and also provide tests not producible via real or test track testing. Furthermore, to provide the most accurate and best validation, sensor simulation closest to "raw data" would be preferred. Advanced physics based sensor models with deterministic and probabilistic components are introduced. The models described include camera, radar and V2X.

Biography: Mr. Tony Gioutsos has been involved with automotive safety systems since 1990. As Director of Electronics R&D for both Takata and Breed Technologies he was at the forefront of the safety revolution. His cutting edge work on passive safety algorithm design and testing led to a start–up company that was purchased by Breed Technologies. After receiving his Master’s degree in Electrical Engineering from the University of Michigan, Mr. Gioutsos worked on satellites and radar imaging for defense applications before joining Takata. He has been a consultant for various companies in areas such as Biomedical applications, gaming software, legal expert advisory, and numerous automotive systems. Mr. Gioutsos is currently Director of Sales and Marketing in the Americas for TASS International where he has continued to define active safety algorithm testing requirements as well as working on various other state-of-the-art approaches to enhance automated and connected car robustness. He has been awarded over 20 patents and presented over 40 technical papers.

(2015 speakers – listed alphabetically, by speaker’s last name)

Tire pressure monitoring: advances and future direction
Ian Chen
Director, Systems Architecture Development
Freescale Semiconductor

In response to demand for active and predictive safety systems within the automotive sector, companies are developing innovative tire pressure monitoring systems (TPMS). Next-generation TPMS solutions have unique capabilities, enabling life-saving safety features and fuel-efficient driving by having tires inflated properly, as well as transmitting data for processing such as with vehicle fleet management and active safety. With proven technology to effectively monitor tire pressure and warn drivers of problems, TPMS designers are now progressing to enriched data analytics about tire wear-out and adhesion for the vehicle on the road. For effective TPMS performance, requirements include having the smallest possible and the most integrated package solution, the best pressure accuracy and the highest pressure range at 1500 kPa for heavy duty trucks and construction vehicles, as well as lower ranges for vehicles and light trucks. As TPMS is increasingly used to gather, process and share essential information, it will continue to improve safety, fuel efficiency and vehicle control.

Biography: Ian Chen is directing marketing of the systems architecture, software and algorithm development for Freescale's Sensor Solution Division. Just prior to Freescale, Ian was Executive Vice President at Sensor Platforms focusing on context awareness and sensor data analytics. He has also held senior business, marketing and engineering leadership positions at Mobius Microsystems, Analogix Semiconductor, Cypress Semiconductor, IC Works, National Semiconductor and Texas Instruments. Ian has a proven track record of identifying emerging market inflections early, and addressing them with leading edge products in such varied fields as sensors, timing, networking, microprocessors, and serial interface devices. EE Times, an industry magazine, identified Ian as one of the 40 key technologists to watch. Ian received bachelor's and master's degrees in electrical engineering and an MBA, all from the University of Illinois at Urbana-Champaign. He holds more than ten patents.

Sensor signal processing in automotive applications
Ketan Dande
Team Leader, Diagnostic Software
Robert Bosch

As sensors become some of the most crucial components in automotive control systems, they have also contributed to issues leading to some large scale recalls in the recent past. Although hardware could be the reason behind such issues, preventive software solutions could be implemented that either detect such sensor malfunctions or mitigate the risk of a failed sensor. This talk emphasizes the importance of signal processing performed on sensors in automotive applications. We'll begin with the most basic functions such as noise filtering and then discuss the progression of functions performed by signal processing algorithms, made possible by the ever increasing computing power of microcontrollers being used in the automotive control systems. We'll then discuss how signal processing could be a key enabler in solving the challenges posed by the future demands of automotive technology including autonomous driving, cybersecurity and connected cars.

Biography: Ketan Dande is a Functional Team Leader for diagnostic software within chassis control division at Robert Bosch LLC. Ketan works on developing sensor signal processing algorithms for electronic stability control systems for hybrid electric vehicles. Ketan received his MS from Ohio State University in electrical engineering and his BS degree in electronics engineering from University of Pune in India. Among his other projects, Ketan has worked on the development of a novel, ecologically inspired control design technique. Ketan has also served as the Executive Director of TiE Detroit, a non-profit organization that helps promote innovation and entrepreneurship within the automotive industry.

Advanced magnetic position sensors in electronic power steering applications
Mark Donovan
Senior Product Marketing Manager

Automobile OEMs and their sub-system suppliers are increasingly migrating to contactless magnetic position sensor solutions for critical safety and improved fuel efficiency reasons. This talk will discuss emerging magnetic sensor trends, such as the inclusion of dynamic angle error compensation and stray field immunity features, to provide higher levels of accuracy performance for safety critical applications such as electronic power steering (EPS). Moreover, the talk will discuss how magnetic position sensors are helping to pave the way in the migration from hydraulic assisted power steering to electronic assisted power steering solutions to meet new government safety and improved fuel efficiency regulations, as well as new industry safety standards such as ISO26262 – ASIL. Also included in the presentation will be an overview of the new EPS architectures that address new government regulations and industry standards. The talk will also discuss how advanced magnetic position sensors are being used for improved EPS motor position detection and control, hand-wheel position, and torque measurements. Furthermore, the talk will discuss new EPS architectures that involve dual and triple redundancy to address ISO-26262 industry safety standards. Finally, the talk will provide information on the business drivers, competition, available technologies, state-of-the-art practices, current challenges, and other emerging techniques for EPS solutions in automotive applications.

Biography: Mark Donovan is a Senior Product Marketing Manager at AMS AG and is responsible for the company's magnetic position sensor ICs. Mark is based in the greater Boston area. Prior to his time with AMS, Mark spent five years at Allegro MicroSystems as a Strategic Marketing Manager responsible for the company's rotary and linear position sensors. In both positions, much of Mark's responsibilities have involved working with developing magnetic position sensor solutions for EPS and other automotive applications. Mark has over 30 years of industry experience in telecom, semiconductor, computer and radar signal processing in various design engineering and marketing roles. He holds a BSEE from the University of Massachusetts, Lowell, and an MBA from Southern New Hampshire University. Mark currently holds 5 patents, three of which are in magnetic sensor technology, with another 3 pending.

The impact of regulations on automotive sensors
Eric Fedewa
Director, Global Components Forecasts and Supply Chain Analysis
IHS Automotive

The penetration of sensors in passenger cars has consistently outstripped automotive sales in the past 20 years.  This expansion is driven by multiple factors, including necessary competitiveness among OEMs, driver demand for improved safety, comfort and other entertainment features, but most significantly, by legislation on safety and emissions.  In this presentation, we will examine the impact of legislation on sensor adoption and innovation due to ever-more stringent emissions regulations, the requirements of ISO 26262 functional safety standards, and the general trend towards worldwide harmonization of safety standards.  And while some vehicles in mature markets now feature over 150 sensors -- measuring pressure, temperature, speed, position, current, oxygen content, and so forth -- there is still ample growth opportunity.  In BRIC countries and other emerging markets, there are many vehicles that have, on average, much lower electronics and sensor content as the local market requirements differ.  An analysis of these factors will explain why the addressable market for sensor manufacturers continues to look very promising.

Biography: Eric Fedewa is responsible for global automotive components forecasts and supply chain analysis, future product program intelligence and market analysis. Eric has authored more than 170 market studies on vehicle components and systems with an emphasis on supply chain analysis and material and technology usage trends. Eric is the author of numerous white papers and presentations on legislation, energy, technology, and vehicle fuel efficiency. He has also participated in lobby efforts in support of the U.S. automotive sector, and testified at the Environmental Protection Agency (EPA) hearings on U.S. fleet fuel economy standards and the California Waiver. Prior to joining IHS (CSM Worldwide) in 1993, Eric was involved in automotive internal combustion engine theory, design and machining technologies at the Midsize Car Division of General Motors.

Sensors for ADAS applications: market trends and projections
Mark Fitzgerald
Associate Director, Global Automotive Practice
Strategy Analytics

The demand for automotive sensors will grow at 5.9% CAAGR between 2013 and 2018, rising from $18.1 billion to $24.1 billion. Sensor growth rates vary between the main vehicle producing regions of the world. Advanced driver assistance systems (ADAS) applications continue to be the largest driver of sensor growth through 2022. This talk will identify ADAS sensor growth opportunities and detailed demand trends for sensors in OEM factory fitted automotive electronic systems The growing demand for ADAS for mass-market vehicles comes from: (a) increasing consumer awareness and demand for ADAS technologies, (b) the potential for reduced insurance and repair costs when using ADAS, (c) increasing demand for highly-specified compact segment models, (d) growing OEM competition, using safety features as a means of differentiation, (e) mandates (or pseudo-mandates) requiring ADAS fitment of technologies such as autonomous emergency braking (AEB); these mandates will mean that new solutions are required to meet the cost/performance requirements of the compact model segments. The talk will provide a comprehensive overview of sensor technologies for ADAS applications such as: camera, bolometer, LIDAR, ultrasonic, infrared, as well as short, medium and long range radar.

Biography: Mark Fitzgerald is the Associate Director for Global Automotive Practice at Strategy Analytics. He manages inquiries and analytical research of the North American market for the Automotive Electronics (AES), and Automotive Multimedia and Communications Service (AMCS) market segments. Mark's experience includes research, forecasting and consulting of automotive electronics and sensor applications in: powertrain control, passenger safety, vehicle stability, and in-vehicle infotainment and connectivity systems. Mr. Fitzgerald is the author of Strategy Analytics' Automotive Sensor Demand Forecast and Outlook report. Prior to joining Strategy Analytics, Mark was a Marketing Analyst for Pollak Engineered Products, a tier one supplier of sensor and switch products to the automotive industry. He was responsible for performing and managing technology development and competitive market analysis in the area of automotive electronics. Previously, Mark headed the North American Automotive Forecast Database Operations for IHS Automotive. Mr. Fitzgerald holds a BS in Business Management from Providence College.

Sensors into action: growth, autonomy, fusion and new opportunities
Jeffrey Hannah
Director, North America

The growth of automotive sensors will be staggering, driven by the disruption from a diverse set of forces ranging from government mandates, to camera advances, to advanced vehicle connectivity, to increasing customer expectations. This presentation will illustrate how sensors are supporting a rapid shift from visualization to information to automation, all in the run-up to autonomous vehicles that multiple players are aggressively racing to capture. To get there, sensor fusion will play a key role in not only expanding capabilities but also increasing the coverage, quality, and user experience of numerous automated driving features. Beyond safer and more efficient vehicles, exciting new opportunities are possible through the harvesting of vast amounts of "big data" coming off sensor-rich, connected vehicles as long as we can manage the various emerging challenges ranging from business models to automotive cybersecurity, to ensuring that we don't leave behind the end-consumer along the way.

Biography: Jeff Hannah is the Director, North America for SBD ( SBD is an automotive technology research firm, which works with 90% of global vehicle manufacturers and most of their partners, to help them choose the right technologies, select the optimal partners, and develop winning market strategies. SBD exclusively covers automotive technologies in the "connected car" such as infotainment, telematics, and apps, the "safe car" such as ADAS, V2X, autonomous vehicles, and the "secure car" such as automotive cyber-security. Jeff has more than twelve years of experience in the connected vehicle industry, as well as working with leading technology companies from across the globe. Prior to his role with SBD, Jeff was a leading member of General Motors' Global Connected Consumer organization which included the industry's leading telematics service OnStar. In the late 1990s, Jeff served as a registered telecommunications lobbyist in Washington, DC working on behalf of leading wireless, telematics, and various automotive clients. Jeff holds a bachelor's degree from the University of Michigan, and an MBA from the UCLA Anderson School. Jeff is the co-founder of the Michigan Telematics Group (MTG) which aims promote networking and business development. Jeff is based in Ann Arbor, Michigan.

Towards autonomous driving: ADAS sensor fusion and redundancy
TJ Houck
Senior Engineer

Automated driving has rapidly progressed in recent years due to the advancements in vehicle sensor technologies.  These advancements have led to features that now allow drivers to have better visibility and awareness around the vehicle.  Not only are drivers getting better visibility of their surroundings, but they are also beginning to benefit from additional features such as park assistance, adaptive cruise control, lane keep assistance, traffic sign recognition, and pedestrian detection, just to name a few.  These applications are achieved by using one or multiples of the following technologies: radar, camera, LIDAR, and ultrasound based sensor systems.  As application features continue to grow into more advanced ADAS functions, such as semi-autonomous and autonomous driving, system redundancy of the sensors will become critical.  Going forward, these systems must work together to enable the autonomous vehicles to drive both safely and effectively.  This talk will provide a brief overview of the current ADAS technology in use today.  After a brief overview, the talk will focus on how redundancy in ADAS is an important factor and stepping stone for autonomous driving systems in the future.

Biography: TJ Houck graduated from Purdue University with primary focus in RF wireless transmission and communication.  TJ is now a Senior Engineer at TRW and is responsible for ADAS hardware design.  Before his time at TRW, he worked at Harman International where he aided in development and design of infotainment systems.  Prior to Harman, TJ worked in the wireless communications field and worked on developing custom wireless communication base stations.  TJ is based locally in Detroit and has 10 years of electronic experience and development.

On the road to autonomous driving: the deployment of silicon based sensors enables intelligent transportation systems
Greg Krueger, PE
Connected Vehicle Program Manager
Leidos (formerly SAIC)

The advancement in automotive sensor technology, specifically MEMS, has ushered in new electronics controls systems for improved vehicle safety, drivability, ride and handling. The advantages of silicon based sensors for cost, packaging and integration are the engine for this innovation. New sensing, control and communication capabilities are transforming intelligent transportation systems (ITS), creating the connected vehicle transportation system. Connected vehicles, based on vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications add new sensors to the car, as transponders, to wirelessly communicate to other cars and add sensors for "smart" intersections. Existing driver assistance systems that rely on MEMS devices will soon benefit from connected vehicle technologies that provide relevant "big data" about real-life road conditions. This talk surveys the state-of-the art, and will provide the audience an overview of the new silicon based sensors and supporting transportation architecture. The United States Department of Transportation (USDOT) Joint Program Office (JPO) goals are to improve safety, mobility and the environment. To obtain these goals, the USDOT JPO is advancing the application of "big data" to challenging transportation problems. The USDOT JPO funds significant research and has provided the industry numerous test beds around the country as incubators for innovation and environments for real-word testing. We have also provided architectural framework and design tools in Southeastern Michigan that can be potentially replicated across the nation. The SE Michigan test bed demonstrates the importance of a uniform framework and the value of collecting and warehousing "vehicle situation data". We will provide an outlook for new sensing technologies and a projection of the market size. Our vision is that cooperative transportation systems, the integration of on-board sensors with infrastructure based sensors and cloud based data is the first step towards autonomous driving.

Biography: Greg Krueger is the Connected Vehicle Program Manager for Leidos. He is presently the Manager of the US DOT Southeast Michigan Connected Vehicle Test Bed where he oversees the day-to-day operations and technology enhancements for the original proof-of-concept facility. Greg is also leading Leidos' efforts to support UMTRI for the Safety Pilot Model Deployment effort in Ann Arbor and also supports a variety of other Connected Vehicle programs for USDOT, Michigan DOT and AASHTO. Prior to joining Leidos (formerly SAIC), Greg served as MDOT's Program Manager for the statewide Intelligent Transportation Systems (ITS) program, overseeing all development, deployment, operations and maintenance of ITS throughout the State of Michigan. Mr. Krueger received his Bachelor of Science degree in Civil Engineering from Colorado State University and his Masters of Science degree in Civil Engineering, with an emphasis on Traffic Engineering from Texas A&M University.

Pressure sensors for automotive HVAC systems
Tom Kwa, PhD
Chief Technology Officer
DunAn Sensing

Automotive HVAC systems require pressure sensors with high reliability which, at the same time, are low cost. The automotive environment requires devices that can handle a harsh environment as well as a high operating temperature (-40 to 125⁰C). In this presentation, we will discuss current technologies and their limitations that complicate meeting these requirements. We will then present a different approach with the ability to overcome the hurdles that traditional technologies face. Furthermore, testing of pressure sensors for automotive HVAC systems presents a great challenge due to the miniaturized scale and the high quality constraints. We will discuss testing methods and protocols to ensure a high product reliability and we will also present long-term reliability data of devices tested in accordance with the presented methodology to demonstrate the performance that can be achieved with the presented novel approach.

Biography: Dr. Tom Kwa has been DunAn Sensing LLC’s Chief Technology Officer since the company’s founding in 2014. At DunAn Sensing he is developing MEMS-technology based sensors manufactured in high volume and specifically for HVAC and refrigeration applications. He has over 20 years of hands-on experience in developing and manufacturing innovative MEMS products. He holds a number of patents on MEMS pressure sensors and accelerometers, has published papers in scientific journals and in technical magazines, has been a reviewer for Sensors and Actuators, and has presented his work at numerous international technical conferences. Prior to joining DunAn Sensing, he held technical management and R&D positions at Endevco (acquired by Meggitt Sensing Systems), Canesta (acquired by Microsoft), NovaSensor (acquired by GE) and Sensym Foxboro/ICT (acquired by Honeywell). Dr. Kwa has a Ph.D. and an MSEE degree, both in Electrical Engineering and both from the Technical University of Delft in the Netherlands.

Automotive battery controller sensor measurement system: state of the art and future trends
Arnold Mensah-Brown
Research Engineer
Ford Motor Company

The battery management system (BMS) is a critical component of electrified vehicles (hybrid, plug-in-hybrid, and electric vehicles) with the purpose of maintaining the safe and reliable operation of the traction battery. To maintain the safety and reliability of the battery, battery controls (state monitoring and utilization, energy flow control, charge control, thermal control, and cell balancing functions) is required. Battery controls are achieved through the use of both software and hardware. The latter consists of sensor system to monitor cell voltage, battery temperature, and battery current. This talk will briefly discuss battery controls and review current methods for monitoring traction batteries for battery controls, their challenges, and discuss opportunities for developing various breakthrough technologies.

Biography: Arnold K. Mensah-Brown received the BSc degree in Electrical Engineering from the University of Science and Technology, Kumasi, Ghana, in 2004 and the MS and PhD degrees in Electrical Engineering from Marquette University, Milwaukee, WI, in 2007 and 2011, respectively. His research interests include solid-state and acoustic wave device sensors, polymer materials for sensing, power electronics, and nonlinear estimation with application to smart sensor systems. At Marquette, Dr. Mensah-Brown developed novel polymer materials for sensing organophosphate in aqueous solutions. He is now a Research Engineer at Ford Motor Company developing smart sensor systems for electrified vehicles.

Secure at any speed: intelligent sensors need intelligent security
Mark Peters
Director, Automotive Business Development
Security Innovation

The roles of sensors are expanding and the volumes increasing dramatically as the automotive industry continues to move forward with advancements in ADAS, ultimately leading to the goal of autonomous vehicles. Even the definition of a sensor is changing with the increased intelligence being integrated into the new devices. What was once a full system (for example, a vision system) is now referred to as a sensor input (for example, a camera) as part of the sensor fusion needed to support autonomous vehicles. These new sensors will be capable of generating vast amounts of data, and this data can be used for more than just running your vehicle. With the increased intelligence and connectivity of today's sensors comes the need to address security and privacy of the data coming from those devices. This talk will explore why security is important, what level of security makes sense, and how to approach it in the system development phase.

Biography: Mark Peters is the Director of Automotive Business Development at Security Innovation. Security Innovation is a software security company that is focused on the connected vehicle segment and provides secure communications libraries for V2X, consulting services for secure development, and training for software engineers on how to write secure code. Prior to joining Security Innovation, Mark spent 13 years with Bosch where he established and ran the Car Multimedia group in North America focusing on infotainment products and services. Mark has 30+ years of experience in automotive electronics having held a wide range of positions in engineering, strategic planning, purchasing, supplier quality, project management, business development, and general management. He is currently located in Ann Arbor, Michigan.

(2015 Technology Showcase presenters - listed alphabetically, by speaker’s last name)

MEMS based energy harvester for tire applications
Stuart Ferguson
Vice President Business Development

MicroGen’s MEMS based energy harvester is targeted at tire-mounted applications, and can enable increased functionality beyond basic tire pressure monitoring systems (TPMS). Legislation requiring TPMS is in place in both the US and Europe for cars and light trucks, and is expected in China starting 2017. Even in the absence of legislation, acceptance of TPMS in commercial vehicles is growing, driven by improved fuel consumption, increased tire life, and reduced breakdowns and labor costs. Most TPMS systems today are rim based, but significant advantages accrue from tire mounted sensors. Commercial vehicles use real time data for carcass management to create high quality retreads, and load management to match load to tire inflation level. In cars and light trucks, features, such as tread depth measurement, allow car companies to manage customers and more advanced features, such as tire deflection and friction measurement, support improved safety and autonomous vehicle functions.

Biography: Mr. Ferguson’s professional career has spanned 30 years and includes senior management roles in research and development, engineering management, operations, and sales and marketing at companies such as Lucas Automotive (Nova Sensor), VTI, Breed Technologies, SSI Technologies and Alligator North America. Mr. Ferguson’s career has focused on the introduction of leading edge sensor technologies into new markets and applications in automotive and industrial markets, working with companies in the start-up phase (VTI) and leading the transition at existing companies (SSI) from electromechanical to micro-electronic sensor based capabilities and products. Mr. Ferguson holds a MSc. in the Physics and Technology of Amorphous Materials from the University of Dundee in Scotland with undergraduate studies in Applied Physics and Electronics Engineering at Napier University in Edinburgh.

Global emergency detection using primary acoustic signatures for OEM and consumers across a common platform
Cory Hohs
HAAS, Inc.

Autonomous driving, the fully connected car, motorcycle and bicycle helmets, athletic headphones – all require people to hear what is happening in the environment around you to be safe. HAAS, inc. will introduce acoustic technology as the primary identifier for emergency vehicle detection and other environmental factors: Technology is surpassing connected safety, and this includes with emergency vehicles. Everyday there are nearly 20 accidents with 1 death per week – with more police and firemen killed driving to an incident scene than actually at the crime or fire (stats are even higher for ambulances). Municipalities pay out hundreds of millions each year in settlements with civilian emergency vehicle crashes. Globally this is an issue, with government regulation approaching the connected industries. Different countries have different emergency vehicle preemption technology, sound is the only common identifier available. With our patented technology for matching acoustic signatures and processing through our rule engine and platform, we identify what’s around you to keep you safe.

Biography: Cory Hohs started an early career in finance, although he found true passion while in university for computer science and economics. He has founded multiple startup companies and has worked/lived all over the world. With a long time focus on telematics and mobile industries, he is taking his passion for creating and growing products to a global scale for true innovation that will help change the way people live. Our technology team is made up of leaders in acoustic engineering, psychoacoustics, AI, machine learning, and information systems. The management team comes from various automotive manufacturing, device platforms, and consumer electronic companies leading the team to foster the right partnerships for driving HAAS, Inc. forward. Tomorrow Lab, our primary industrial design and consumer manufacturing partner, allows us to not only develop for the OEM space, but for the consumer space as well with their long time experience creating successful hardware products. Our team is consistently looking for partners and investment to help bring HAAS, Inc. technologies to the broader market – we look forward to talking more at the event!

MEMS flow control: making MEMS sensing more effective
Mark Luckevich
Director of Business Development
DunAn Microstaq

In any well performing control system, sensing, actuation and controls all must work in concert to provide the optimal system performance. Precise sensing must be accompanied by precise control to fully realize the value in the information. Actuation and valves play an essential role in controlling and manipulating fluid flow. Through the incorporation of MEMS based technologies with valves, MEMS microvalves offer a range of advantages over the common solenoid valves used in automotive transmissions, air conditioning and refrigeration today. This includes reduced size and weight, better structural reliability and simplified operational use. DunAn Microstaq’s patented silQflo® Silicon Servo Valve is a MEMS-based microvalve designed to control flow or pressure with high precision and fast response time. With its miniaturized compact form, MEMS valves are not only able to accomplish the same tasks as their larger traditional equivalents but with improved performance and cost efficiencies. Capable of controlling flows at the microfluidic level, the valve can also be used in a multi-stage valve, providing macro flow capabilities. DunAn Microstaq (DMQ) is a MEMS innovation company dedicated to advancing flow control solutions and providing customers with benefits that go far beyond flow control.

Biography: Mark Luckevich is the Director of New Business Development for DunAn Microstaq (DMQ) located in Austin, Texas. Mark has been involved in the development and commercialization of MEMS based flow control technology for over 10 years and brings to DMQ 30 years of technology development experience specializing in control system design and flow control product development. Before DunAn’s acquisition, Mark was the VP of Engineering and later the CTO for Microstaq. Prior to his MEMS work, Mark was Chief Engineer over chassis control systems at TRW Automotive for the design and development of ABS, Traction Control and Vehicle Stability Control systems. Responsibilities also included the simulation lab and new product development for brake-by-wire systems, active damping and roll control. As an Engineering Manager at Honeywell, Mark was responsible for the design and development of cabin pressure control systems, air data systems and other flight critical controls. Mark holds 15 patents and earned his Bachelor of Science degree in Physics from the University Of Waterloo in Ontario, Canada.

Wireless, microcontroller-free, battery-free sensing for automotive applications
Shahriar Rokhsaz, PhD

RFMicron has developed and produces a new class of single-chip, RFID connected sensors, which are small, low-cost, easy to implement, wireless and battery-free. These sensors provide the economies of scale necessary to drive pervasive deployment into a number of very high volume applications within the automotive industry. These autonomous sensors detect and respond to a variety of environmental stimuli, including moisture, humidity, temperature and pressure. The sensors are easy to read over industry-standard UHF Gen 2 protocol, using either fixed or hand-held readers, and require no custom commands. RFMicron's technology and products are generating strong interest within the automotive industry for sensing water intrusion in the chassis, passive tire localization, passive tire pressure monitoring systems (TPMS), intelligent seat pressure monitoring and part tracking/quality control during assembly – especially effective for hard to tag components such as vehicle chassis and engines.

Biography: Shahriar Rokhsaz served as a consultant from 1995-1996. In 1997, he joined Sigmatel Inc. (IPO in 2003) as the 8th employee, where he successfully developed, designed and led the IRDA infrared transceiver product into production. In 1999, he joined RocketChips Inc., which was later acquired by Xilinx for $300M. At Xilinx, Rokhsaz led the 10Gb/s de-serializer (SERDES) program which is the fundamental architecture used in all of the Xilinx’s FPGA with RocketIOTM serial ports. In 2001, Rokhsaz joined University of Texas in Austin as an adjunct professor while active in the area of research with Texas A&M University. Since 2007, Rokhsaz has consulted with a leading venture capital company on technical viability of patents and technologies. Rokhsaz is the founder and the CEO of RFMicron Inc.; focused on passive sensing, and connecting the unconnectable in the greater internet of things ecosystem. Since its inception, RFMicron team has created over $2B of new market in the area of health care and automotive using their embedded passive solutions. Rokhsaz received his PhD in the area of analog circuits and systems in December 1998 from Oklahoma State University. He holds well over 50 granted and pending patents.

Science matters: digital research for today’s MEMS, IoT, intelligent transportation professionals
Kristen Wallerius
Licensing Manager, Tech Markets

As a leading science and technology publisher, Springer connects our digital research with professionals working at consultancies, businesses, companies, and corporations worldwide. With the speed at which the automotive sensors and electronics industry is moving, we’d like to spotlight some of the latest technology research being published across the following areas: MEMs, intelligent transportation, IoT, and sensors.

Biography: Kristen Wallerius is the Tech Markets Licensing Manager for Springer’s global corporate sales team, covering the Western portion of North America. She began working in Marketing and Editorial as a part of Pearson Higher Education’s Chemistry group in 2008, and was promoted to sales in 2009, where she developed relationships with key academics across a variety of research fields. She subsequently managed key accounts including corporations and business schools for XanEdu, a research content aggregator with an award winning mobile learning app. In 2013, Kristen joined Springer as Licensing Manager for Tech Markets, aiding in the support of R&D at Fortune 500 corporations as well as startups.

(2013 speakers - listed alphabetically, by speaker’s last name)

Vibration powered TPMS and other sensing systems
Robert Andosca, Ph.D.
Co-founder, President and CEO
MicroGen Systems, Inc.

In 2013, 150M tire-pressure monitoring system (TPMS) units for passenger cars will be shipped. TPMS volume is expected to grow dramatically as other countries (Japan/2017, China/2018, India/2019 and others) implement similar government policy.

The TPMS volume will increase further as heavy-duty/high-use vehicles (semi trucks, buses, aircraft and others) adopt TPMS and Intelligent Tire (more power consuming sensors to monitor both tire and road condition) sensing systems. The problem is the battery lasts only 1-3 years for these applications. Therefore, an alternative power source is needed for this market to adopt these sensing systems for increased safety and fuel efficiency.

The convergence of low power integrated circuits, sensors and RF transmitters has allowed for energy harvesting devices to begin to be considered for wireless sensor applications. This talk will focus on powering TPMS and Intelligent Tire sensing systems from low production cost piezoelectric MicroElectroMechanical Systems (piezo-MEMS) vibrational energy harvesting (PZEH) devices.

Biography: Dr. Robert G. Andosca is the co-founder, President and CEO of MicroGen Systems, Inc. Dr. Andosca started MicroGen in 2007. He has over 25 years of professional experience in the semiconductor and MicroElectroMechnical Systems (MEMS) industries, including operations/management roles, business development and lead technical engineering positions. Dr. Andosca has held senior positions at the Infotonics Technology Center, Lilliputian Systems, Umicore and Corning IntelliSense.

In 2012, Dr. Andosca received his Ph.D. in Materials Science Engineering from The University of Vermont. His dissertation was on theoretical and experimental studies of piezoelectric MEMS vibrational energy harvesters (PZEH). PZEH prototypes were developed at Cornell University. This PZEH design serves as the baseline for MicroGen’s BOLT™ energy harvesting product line in production at X-FAB MEMS Foundries in Germany. Dr. Andosca holds an M.S. in Materials Science from UVM and a B.S. in Physics/Mathematics from USNH Keene State College. Many patents and papers on PZEH devices have been submitted.

High performance: the future of motion sensors in the automotive industry
Brad Chisum
Lumedyne Technologies

The automotive market has long been the pioneer of motion sensors. Early generations of automotive inertial sensors were used for essential, life-saving applications such as collision detection for airbag deployment. Over time, new applications emerged (such as electronic stability control and anti-lock brake systems) and automotive sensor requirements grew. Today, we have reached the point where many future automotive applications require sensor performance beyond what current sensor technologies can achieve - thus, fundamentally different technologies are required to enable these applications. Novel technologies in development today promise to deliver the required performance while simultaneously continuing the downward push on power and cost. The arrival of these technologies promises to usher in a new era of inertial sensing and enabling the next generation of automotive applications.

Biography: Brad Chisum has over fifteen years of experience in MEMS and semiconductors. At STMicroelectronics, he successfully led teams to improve inventory management and production efficiency and was recognized as the site's most effective team leader. In 2002, Mr. Chisum joined SPAWAR, a U.S. Navy research laboratory, where he headed up their Advanced Photolithography Research Program and helped improve the facilities to world-class standards. Mr. Chisum left the Navy to found Lumedyne Technologies. Since then, Mr. Chisum has been recognized by the Federal Laboratory Consortium for Technology Transfer for "Outstanding Commercialization Success" of government licensed technology and has been named a 2010 regional Finalist for Ernst & Young's Entrepreneur of the Year Award. He has authored three patents (pending) and his educational background includes three degrees: an MBA from San Diego State University, a B.S. in Electrical Engineering, and a B.S. in Mathematics from Southern Methodist University.

Prospects for sensors in powertrain applications
Richard Dixon, Ph.D.
Principal Analyst, MEMS and Sensors
IHS iSuppli

IHS has modeled the entire sensor content of the engine and transmission in an effort to better quantify the future requirements for sensor suppliers and tier 1s. Existing IHS Automotive model-by-model databases of powertrain shipments have allowed the sensor content to be determined for a particular vehicle based on the region in which it is sold and hence relevant emissions regulations, taking into account other parameters such as number of type of fuel, engine capacity, turbo-charging and injection method, number of valves, SOP and EOP of platform, etc. In this fashion IHS has produced a mapping of the sensor content -- whether pressure, temperature, oxygen content, knock, speed or position sensing -- in over 16,000 engines with up to as many as 30 sensor insertion points. This talk describes this unique tool and provides a perspective for sensors in engines and transmissions using pertinent examples.

Biography: Richard Dixon is a principal analyst for MEMS and author of more than 50 MEMS-related consulting and market research studies. He is a world-renowned expert on automotive MEMS and magnetic sensors used in safety, powertrain and body applications. Along with supporting the overall activities of the MEMS and sensors group, his responsibilities include the development of databases that forecast the markets for more than 20 types of silicon-based sensors in more than 100 automotive applications. In addition, he has supported organizations with future scenarios for sensors in cars and has supported many custom projects for companies in the automotive supply chain.

In his prior post at WTC, Dixon was a senior MEMS analyst where he led research on physical sensors and was the co-author of the NEXUS Task Force Report for MEMS and Microsystems 2005-2009. He has also led commercialization and road-mapping activities on European Commission-funded technology projects, including detailed MEMS chip cost analysis studies.

Dixon worked previously as a journalist in the compound semiconductor industry and has five years of experience as a technology transfer professional at RTI International, where he provided business and market intelligence for early stage technologies. Dixon graduated from North Kent University with a degree in materials science and earned a doctorate from Surrey University in semiconductor characterization. He speaks English and German.

The future of automotive safety sensors
Max Liberman
Strategic Marketing Manager, Automotive Safety
Analog Devices

The demand for a safer vehicle continues to push car manufacturers to innovate the current approach to safety. Today's vehicles are utilizing a diverse range of sensors to provide critical data in order help to avoid accidents or improve protection of occupants and pedestrians. Traditional airbag sensors have been complemented by many new sensors including radar, camera, pressure sensor and yaw rate sensors. The requirements for the sensors continue to increase and many challenges still need to be overcome to develop sensors and systems that can reduce or eliminate accidents in the future. This presentation will share ADI's view on safety sensor trends in automotive area by looking at the future market requirements, customer demands and implementation challenges. How will tomorrow's car be safer?

Biography: Max Liberman is a Strategic Marketing Manager responsible for safety electronics in the automotive segment at Analog Devices. Prior to managing safety electronics, Max worked in ADI's micromachining product division and was responsible for defining and marketing high-g MEMS accelerometers which are used as automotive airbag sensors throughout the world. After graduating with an electrical engineering degree from the Worcester Polytechnic Institute in Worcester, Massachusetts, Max joined Analog Devices in 2001 as a product marketing engineer for ADI's high-speed amplifiers. In this role, Max introduced industry-leading high-performance amplifiers and integrated video filters. Max has led many successful product launches, of which two won semiconductor industry's prestigious EDN Innovation award. Max holds an MBA from Babson College.

MEMS sensors and their applications in automotive control systems
Srini Naidu
Lead Powertrain Controls Engineer

Internal combustion engines are undergoing major overhaul due to the aggressive EPA and NHTSA mandates requiring industry fleet wide emissions level of 163 g/mi (currently 374 g/mi) of carbon dioxide by model year 2025 that is equivalent to 54.5 mpg if achieved exclusively through fuel economy improvements. Nowhere are the improvements more apparent than in the engine control systems. These newly evolved control systems have to deal with an increased degree of freedom engines (downsized boosted engines with direct injection, cooled EGR, super charger, dual fuel capability, multi lift valves, in cylinder fuel control etc.) requiring advanced sensors and sophisticated algorithms to sense and diagnose various engine parameters to achieve control resolution that was not feasible just a few years ago. A class of sensors built using MEMS processes that utilizes sensor data fusion techniques is rapidly expanding in various applications including the automotive systems. The talk will focus on how these sensors and their diagnostics are evolving to support the complex automotive control systems.

Biography: Srini Naidu started his automotive career at Ford Motor Company as a sensor engineer. While at Ford he developed various types of automotive sensors that included sensing element and packaging designs for pressure, temperature, acceleration and oxygen sensors. His expertise was in modeling MEMS based sensors and its interactions with the environment. He was the co-founder of Memstech, the first independent MEMS foundry in Asia, that later became a publicly traded company in August 2004. While at Memstech he led the team that developed MEMS based infrared sensors and silicon microphone. He joined General Electric's sensing and controls division in 2010 and launched MEMS based harsh media pressure sensor for automotive transmission controls. Since then he has been at Chrysler as the lead powertrain controls engineer responsible for the introduction of the first OEM designed & manufactured dual fuel Gasoline/CNG vehicle into North American market. He closely follows the evolution of sensing technologies and its applications in the automotive systems. He holds 5 patents and is a graduate in Mechanical Engineering from Ohio University.

Automotive sensors and electronics: trends and developments in 2013
Mike Pinelis, Ph.D.
President and CEO
MEMS Journal, Inc.

After the worldwide downturn and crisis in 2008 and 2009, the automotive market worldwide has bounced back and recovered well. In 2012, approximately 75 million new light vehicles (cars and light trucks) were shipped worldwide. This number is projected to reach 110 million by 2020. Currently, each vehicle has an average of 60-100 sensors on board. Because cars are rapidly getting “smarter” the number of sensors is projected to reach as many as 200 sensors per car. These numbers translate to approximately 22 billion sensors used in the automotive industry per year by 2020.

So what are the emerging applications enabled by the next-generation sensors and electronics? And what are the technologies that will enable new applications? This talk will present an overview of the current status, trends and developments.

Biography: Dr. Mikhail ("Mike") Pinelis is the CEO of MEMS Journal, Inc., an independent publication based in Southfield, Michigan that he founded in 2003 and grew to the current 28,700+ subscribers worldwide. MEMS Journal’s services include marketing and advertising, executive and engineering recruiting, intellectual property brokerage, MEMS and semiconductor equipment brokerage, as well as market research and intelligence.

Prior to MEMS Journal, Dr. Pinelis served as Director of Business Development for ISD Technology Group in Mansfield, Massachusetts. Prior to that, Dr. Pinelis founded and was the CEO of MindCruiser, Inc., a company specializing in developing online intellectual property marketplaces that was sold to Akiva Corporation. Dr. Pinelis is an active participant in the MEMS and semiconductor market sectors and currently serves on advisory boards of leading industry associations such as the Micro Electronics Packaging and Test Engineering Council (MEPTEC) and Micro and Nanotechnology Commercialization Education Foundation (MANCEF).

Dr. Pinelis earned a Bachelor’s degree in Engineering from Harvey Mudd College in Claremont, California and Master’s and Ph.D. degrees in Electrical Engineering with a focus in MEMS and microfluidics at the University of Michigan in Ann Arbor.

Mechanical reliability of electronics in automotive applications
Gil Sharon, Ph.D.
Senior Applications Engineer
DfR Solutions

More electronic systems are installed in vehicles every year. These systems monitor and control everything from engine performance to the radio. Any one of these systems has the potential to fail. These failures could potentially endanger lives and cause damage. Reliability has to be built in to electronics systems from the design phase. The temperature cycling, mechanical shock and vibration environments in the automotive industry are far from ideal for the longevity electronic assemblies. Temperature cycling of electronic systems can cause many different failure modes. In this talk, let's learn about solder and plated through hole fatigue and how to predict their probability of failure. We will also explore what happens to solder interconnects that are subjected to repeated mechanical shock or sinusoidal base excitation. We will talk about the effect of contaminants moisture and humidity on the mechanical reliability of electronic components and systems. The talk will close with some top tips about Design for Reliability (DfR).

Biography: Dr. Sharon's research focus was mechanical reliability of electronic systems and components. His doctoral research included solder reliability, MEMS structures characterization, embedded components failure analysis and particle beam accelerator mechanical fatigue. Gil worked at Amkor technology in the Advanced Product Development Group as Senior Engineer. His activity there explored chip-package interactions. Dr. Sharon's research interests include multidisciplinary reliability of complex electro mechanical systems, characterization and modeling of material behavior, mechanical performance of flip chip packages, and the physics of failure of electromechanical and MEMS devices. Dr. Sharon earned his Ph.D. degree in Mechanical Engineering at the University of Maryland.

Sensors: Enabling the next-generation smart automobile
Babak Taheri, Ph.D.
Vice President and General Manager
Freescale Semiconductor

From self-parking to self-driving cars, the role of connected intelligent sensors increases over time in making the automobile smarter and safer. Freescale's Xtrinsic sensors and microcontrollers (MCUs) are extensively deployed in cars. Examples of sensors include intelligent RF-based tire pressure monitoring systems (TPMS), satellite accelerometers, satellite pressure sensors, passenger occupancy detection systems (PODS), fuel vapor monitoring systems, altimeters, manifold pressure monitoring, and barometric pressure measurements. The next-generation of sensors with MCUs attached, wired and/or wireless communications, supported by data fusion and context aware algorithms will enable the smart automobile to make intelligent decisions dynamically and efficiently. These intelligent sensors are distributed throughout the automobile, forming distributed intelligent sensing nodes that gather essential information (tire pressure, tire speed, fuel system, vehicle position, stability) process, share, and manage sensor data that is used for improved safety, stability and control of the self-driven automobile.

Biography: In May 2013, Babak Taheri joined Freescale as the Vice President and General Manager of the Sensors Solutions Division (SSD). Prior to Freescale, Dr. Taheri was the Vice President of Non-Volatile Products (NVP) at Cypress Semiconductor where he acquired Ramtorn, and ranked No.1 at Cypress BU for gross margin. Dr. Taheri has held other positions at Cypress including VP of Corporate IP, whose team headed up development of Cypress' first multi-touch sensing technology. He also established over 12 Centers of Excellence worldwide, managing design IP for the corporation. Prior to re-joining Cypress, Dr. Taheri was Vice President of Engineering at InvenSense, a fabless MEMS semiconductor company focusing on high-volume product delivery to consumer markets. Dr. Taheri has more than 28 years of semiconductor industry experience including founding Integrated Biosensing Technologies, a sensor biomedical corporation. He also has held key positions at Intel, SRI International, Redwood Microsystems, and Apple. Dr. Taheri holds a doctorate degree in electrical engineering and neurosciences from the University of California at Davis, and more than 21 issued U.S. patents.

Call for Speakers

If you’d like to participate as a speaker, please call Dr. Mike Pinelis at 734-277-3599 or send a brief email with your proposed presentation topic to All speakers will receive a complimentary pass to the conference.

Conference scope includes topics related to automotive sensors and electronics such as:

  • Emerging sensors and electronics applications
  • Supply chain trends and challenges
  • Government regulations and mandates
  • Fabrication technologies
  • Testing methodologies, including test equipment and techniques
  • Interface and calibration circuits
  • Devices with substantially improved performance
  • System integration and end use applications
  • Emerging sensors and electronics technologies
  • Component and wafer-level packaging technologies
  • Sensors and electronics for telematics applications
  • Reliability testing and methods
  • Non-electronic interfaces
  • Environmental effects and compensation methods
  • Sensors and electronics for vehicle diagnostics