Dipl. Ing. Jörg Schrepfer graduated from Friedrich Alexander University (Germany) with a degree in electrical engineering. From 1998-12 he held various positions in the pre-development and development of product areas such as automotive DVD players, displays, gateways, and new bus systems. From 2012-14 he was the ASL vision director for business development in Germany at Image Processing Solutions. From 2014-16 he worked at Continental as a senior manager of technical sales and R&D Kronach, specialising in surround-view camera systems for vehicles. Since 2017, Jörg has been the head of driver assistance research Germany at Valeo. He works on algorithms and functions for laser scanners, cameras, and ultrasound, as well as algorithms for autonomous driving using deep learning.

Plato Pathrose studied electronics and communication engineering at the University of Kerala, India. He started his career as a design and development engineer and has worked on safety-critical automotive and avionics products.
Over the last 18 years, he has led multiple engineering teams for various industrial projects in automotive and avionics covering different lifecycle phases. He has worked on multiple projects where ADAS and automated driving systems were developed and deployed.
Plato is an author and a techno-strategic consultant and advisor to various organisations that operate in the new mobility space, especially in ADAS, automated driving, and software-defined vehicles (SDV).
Beyond his technical background, he is a process and methods specialist, a lean six sigma expert, and a TRIZ practitioner who helps organisations with coaching and consulting on their process and methods improvements across various phases in product development and production.

Kathrin Kind-Trueller started her career in 1999 in the quality engineering of international communication mobile networks at Siemens. Later on, she developed complete vehicle functions for ADAS, engine management, steering, braking, cockpit infotainment, and autonomous driving at several automotive suppliers such as Bosch, ZF-TRW, and Magneti Marelli, and at automotive OEMs such as BMW in Munich, Mercedes Benz Cars in Sindelfingen, and Audi in Ingolstadt. She was a senior research scientist in AI for the Volkswagen Group in Wolfsburg. She currently is the chief data scientist and AI assistant director for Cognizant in the Nordics.

She has a doctorate in AI applied to business, from SSBM Geneva and the faculty of business from the University of Zagreb, an MBA in AI from the University of Cumbria, an MSc. in computer science and software engineering from the University of Hertfordshire, and a master of arts in leading innovation and change from York St. John.

Alejandro Morate is currently leading the autonomous drive department in one of the most innovative automotive companies in Sweden. Their mission is to deliver the mobility solutions of the future. Due to the nature of the work, most of the time his team is navigating in uncharted territory working out ideas, innovations, and using strategies thinking to ensure that CEVT is among the market leaders as a company.

In the past he has worked for Tier 1 suppliers, for big OEMs, and also has led the engineering department of a small startup developing their own innovations. His background is computer engineering, specialised in robotics and SW processes like ASPICE and ISO26262.

Dr. Dan Levi is currently a technical fellow at General Motors R&D Israel, leading the computer vision and perception research group. He received a BSc degree with honours in mathematics and computer science from Tel-Aviv University, in 2000, and MSc and PhD degrees in applied mathematics and computer science from the Weizmann Institute, in 2004 and 2009, respectively. In his studies he researched human and computer vision under the supervision of Prof. Shimon Ullman. Since 2007, he has been conducting industrial computer vision research and development at several companies, including General Motors and Elbit Systems, Israel.

Javier Ibanez-Guzman received an MSEE degree from the University of Pennsylvania, USA, as a Fulbright scholar, and a PhD from the University of Reading on a UK SERC fellowship. He was a visiting scholar at the University of California, Berkeley. Currently, he’s a corporate expert on autonomous systems at Renault S.A., and co-director of the SIVALab common laboratory between the CNRS, UTC Compiegne, and Renault working on intelligent vehicle technologies. Javier is a senior editor and associate editor for related IEEE Transactions as well as representative to ISO groups associated to autonomous vehicles and AI. He is also an expert to the EU and Eureka research programmes. Formerly, he was a senior scientist with SimTech, an A*Star research institute in Singapore, where he spearheaded work on autonomous ground vehicles. He is an IEEE member, C.Eng., and fellow of the Institute of Engineering Technology, UK.

Simone Ferri has been the general manager for STMicroelectronics MEMS sub-group since February 2016.

Simone began his career in STMicroelectronics in 1999 as an R&D engineer, before moving on to digital designer for the audio division, leading into product management after five years. In 2014, Simone was entrusted with ST MEMS consumer sensors, then with global MEMS sensor-related marketing and application activities across all markets and segments, and, more recently with AMS Group vice president and general manager of the MEMS sub-group.

Simone was born in Milan in 1972 and graduated with a degree in microelectronics from Polytechnic of Milan, where he also completed his MBA.

Dr. Ralph Grewe started his career at Continental in 2011 with a PhD position in the field of environment modelling at the advanced engineering of systems and technology, where he took over the position as group leader for perception and environment model in 2016. In 2018, he became the domain owner for the CEM and localisation domains in the program automated driving. Since January 2022, he has been the product manager of perception at the innovation line driverless of the systems and software business at autonomous mobility.

Miquel Testar is an ADAS product innovation professional with 15-plus years of background in the sensing space. He has experience leading both engineering teams and business strategy, as well as managing growth initiatives from the Bay Area for L4 players as well as from Germany for L2-L3 solutions with established OEMs.

Dr. Richard Dixon is senior principal analyst at IHS Markit (now a part of S&P Global) responsible for sensors and vehicle architectures in the EE and semiconductor team. His research area is tracking the adoption of semiconductor technology supporting major automotive trends such as electrification, emissions reduction, and autonomy, in addition to assessing the impact of the changing vehicle electronic and electric architecture on the supply chain.

In addition, Richard has led the sensor research output at IHS Markit for over 10 years. He is an expert for all sensors in cars and is tracking at least 150 different applications on a regular basis.

Danilo de Cost Ribeiro holds a bachelor's degree in control and automation engineering from Universidade de Fortaleza (Brazil) and received his master's degree in aeronautical engineering from the traditional Instituto Tecnológico de Aeronáutica (ITA - Brazil) in 2016 after completing a joint program between ITA and the aerospace manufacturer Embraer. In the aerospace industry, he worked at Embraer for five years, mainly as systems safety engineer responsible for the functional safety assessment (according to SAE ARP4754A) for the development of the Embraer E2 family of aircraft (up to 146 passengers). After that, he joined the automotive industry at Continental AG in 2018 as a system safety manager for highly automated driving, having acted as safety manager for several platforms up to SAE Level 4 AD and is currently safety manager for autonomous mobile robots and unmanned aircraft systems. Within safety, Danilo was appointed expert safety-in-use for automated systems at Continental and is a reference within the organisation for this topic.

Jamie Smith has over 25 years of embedded design and test and measurement experience in safety-critical industries. He is currently the VP of products for safety-critical systems at Imandra. They provide development and testing tools for safety-critical systems based on formal methods and symbolic AI.  He spent most of his career at National Instruments (now NI), where Jamie led the automotive research and development team and industrial internet of things (IoT) group. Jamie earned a MSc in applied physics from Stanford (USA) and a bachelor's in physics from UC Santa Barbara (USA). He frequently speaks at autonomous vehicle and industrial IoT conferences.

Dr. Ofer David received his BSc and MSc from the Technion Haifa, Israel, and his PhD in electro-optics from Ben Gurion University. He was the head of the electro-optic group at Elbit Systems. Ofer has various publications and patents on active imaging systems and laser detection. He was the co-founder and CEO of BrightWay Vision, an automotive nighttime camera system provider until January 2023, and now serves as the CTO and executive chairman.

Simon Dürr is a senior expert for embedded automotive software and AUTOSAR with over 13 years of industry experience. Simon is focussed on embedded security, functional safety, AUTOSAR, and automotive HPC architectures. He has a proven track record of bringing automotive software to mass production, working on various automotive platforms and embedded software solutions for worlds major OEMs.

Alexander Wischnewski is co-founder and managing director at driveblocks, a provider of perception and sensor-fusion technology for autonomous driving with a focus on commercial vehicles. He holds a PhD degree from the Technical University of Munich in the field of autonomous driving and has been leading the TUM Team to its victory in the inaugural Indy Autonomous Challenge, an autonomous racing competition with a price award of $1 million.

Dr. Felix Govaers received his diploma in mathematics and his PhD with the title "Advanced Data Fusion in Distributed Sensor Applications" in computer science, both at the University of Bonn, Germany. Since 2009, he has worked at Fraunhofer FKIE in the department for sensor data fusion and information processing where he was leading the research group on distributed systems for three years. Since 2017, he has been the deputy head of the department. Felix’s research is focussed on track-to-track fusion, state estimation in non-linear applications, and quantum algorithms for information fusion. This includes quantum optimisation methods, tensor-decomposition techniques, processing of delayed measurements as well as the distributed Kalman filter and track correlation mitigation. He is also interested in advances in state estimation such as particle flow and homotopy filters and the point process theory approaches. In 2023, his book, "Theory and Methods for Distributed Data Fusion Applications", was published by the IET.

Felix is an active member of the IEEE Aerospace and Electronic Systems Society (AESS) where he serves as an associate editor and is the financial chair of the Germany section. He also is an AESS distinguished lecturer and short course instructor. He’s an elected member of the Board of Directors (BoD) for the International Society for Information Fusion (ISIF), where he is actively contributing to the future of the information fusion community. At the University of Bonn, he has served as a lecturer since 2014 with seminars, labs, and lectures on distributed data fusion systems and quantum algorithms for data fusion.

Pierrick Boulay is a senior technology and market analyst for lighting and display in the photonics and sensing division at Yole Développement (Yole). He works in the fields of solid-state lighting and lighting systems, carrying out technical, economic, and marketing analyses. In addition, he leads the automotive activities within the company.

Pierrick has authored several reports and custom analyses on topics such as automotive lighting, LiDAR, sensing for ADAS vehicles, and VCSELs. Prior to Yole, Pierrick worked in several companies where he developed his knowledge of lighting and automotive. In the past, he mostly worked in R&D departments on LED lighting applications.

Eyal Gil-Ad is an algorithm engineer with over 10 years of experience in the fields of computer vision, machine learning, and image processing. Following his vast experience in building and leading research and development algorithms teams, these days he manages and leads the object detection and calibrations perception algorithms activities at Innoviz.

Prior to Innoviz, Eyal held key positions in several startup companies, early-stage core team to late stage, leading computer vision projects from conception to productisation for applications such as autonomous drones, security, and industrial automation.

Eyal Holds a BSc in electrical engineering from Ben-Gurion University and an MSc in electrical engineering from Tel-Aviv University.

Leonardo Surico has spent 30-plus years in semiconductor R&D defining microcontroller products and solutions for the automotive industry. He is now assigned to ADAS AI lab at NXP Germany, making use of his 12 years of experience on solutions for ADAS perception, fusion, and tracking. He is now focussed on AI-dedicated solutions for radar sensors.

As senior director of automotive strategic accounts at MacDermid Alpha, Steve is responsible for driving and aligning our electronics and industrial business units in the dynamic automotive sector. The focus is to provide the industry with material solutions that provide robust process high-reliability and enable the creation of next-generation hardware. During his 25-year career in the electronics industry, Steve has held both technical and commercial positions and, in addition to MacDermid Alpha, has worked for Lord Corporation, CyberOptics, and Celestica. Steve holds degrees in electronics and manufacturing engineering from Loughborough University of Technology and is based out of Woking, UK.

Martin Michaelis is with the Institute for Autonomous Systems Technology at the University of the Bundeswehr Munich. His research interests include radar and LiDAR perception, multi-sensor fusion, multi-target tracking, and extended-object tracking. Furthermore, an additional focus is static environment perception and odometry estimation using radar sensors. Martin received a diploma degree in mathematics from the University of Bonn, Germany. He has worked four years as a student assistant and a research assistant at Fraunhofer FKIE. Since 2016, he has been at the University of the Bundeswehr Munich.