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Thomas R. Köhler is a leading expert on future technologies and the author of 15 books on the subject, including "The Digital Transformation of the Automobile. He is well known as an automotive technology expert on radio and TV (including NTV, ARD, ZDF, Pro7, Sat1, BR, WDR, DLF, etc.) and has recently appeared on TV on topics including Mercedes product strategy, working conditions at Tesla, the viability of the UBER business model, the feasibility of air cabs and the requirements for charging stations. In 2022, he is now hosting the ICA Summit in Munich. His expertise is in demand; many participants already know him from broadcasts on NTV, ARD, ZDF, Pro7, Sat1 and other programs. His most recent contributions have been on TV on Mercedes product strategy, working conditions at Tesla, the viability of the UBER business model, the feasibility of VTOLs (Air Cabs) and the requirements for charging infrastructure, among others. Guest articles on the future of the industry can be found in Handelsblatt and NZZ and various industry magazines, among others. Köhler has a degree in business informatics, has worked in research as well as in strategy consulting, and has been managing partner of the technology consultancy "CE21" based in Holzkirchen near Munich since 2011. Köhler is also on the Board of Directors / Supervisory Board / Advisory Board of several innovative companies, including the eMobility charging technology provider Juice Technology (Switzerland). In 2019, Thomas R. Köhler was appointed as Research Professor at the Center for International Innovation, Hankou University (Wuhan, CN).

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Dr. Sascha J. Semmler studied electrical engineering and control engineering at the Technical University of Darmstadt and did his doctorate at the Institute of Automatic Control, Technical University of Darmstadt. After joining Continental AG in 2002, he was initially responsible for Global Chassis Control and Hybrid Systems in Advanced Engineering before he became Executive Assistant to the CEO of Continental AG. After various management positions in Germany and the USA related to supply chain management and manufacturing within the Commercial Tire Division, he moved to the business unit Advanced Driver Assistance Systems in 2015 where he initially worked as Head of Base Development Camera and Sensorics Lead Engineering and later on as Head of Product Management Camera starting April 2017. Since July 2021, Dr. Semmler is responsible for Innovation within the business unit Advanced Driver Assistance Systems of Continental AG.

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Dr.-Ing. Juergen Dickmann is head of Radar sensors and radar based perception at highly automated driving, DAIMLER AG. In this role he is responsible for all radar projects for the 6th generation of ADAS systems at Mercedes-Benz AG and radar based perception in the cooperation with Nvidia. In his last position, he was in charge of radar and radar perception in the autonomous driving cooperation between Mercedes-Benz AG and Robert Bosch. Before that, he managed the technology transfer process from pre-development into series of all perception sensing (Radar, Laser, Video) and localization technologies for S-Class model BR222. Among others, he held manager positions at DAIMER in Laser-Scanner, Sensor-Fusion and Situation Analysis. He conducted radar research and pre-developments for radar based Pre-Crash and driver assistant systems for all platforms (Passenger cars, Busses, Van, Truck) inside DAIMLER AG. The research achievements of his group can be found in: https://www.researchgate.net/profile/Juergen_Dickmann. He received his Diploma degree in electrical engineering from University Duisburg, Germany, in 1984. In 1991 he achieved the Dr.-Ing. degree at Rheinisch Westfaelische Technische Hochschule Aachen (RWTH), Germany. In 1986 he started his career at AEG Research Center, where he did research on III/V-semiconductor processing techniques, mm-Wave device and MMIC-design (up to 120GHz) and fabrication. Key-Note on “Future demands in automotive Radar” Takeaways: Everybody speaks about vision and lidar systems, but Radar is an indispensable key technology for highly automated and autonomous ADAs HW-SW Co-Design is essential to come to the next level High Performance radar versus smart radar networks – some thoughts Radar perception can benefit performance, if it is not treated like a lidar or camera Massive AI is entering the Radar-Perception arena. Abstract: Over decades automotive driver assistance systems have developed from simple park assistance and ACC to highly complex L3 functions. Among other issues, that has been driven by the dramatic development of radar sensor technology and radar based perception. Radar can see, where other sensors can´t. Due to their performance to be packaged nearly invisible, modern cars can still appear as design artwork icons, like the present EQ-S. With the development towards higher automatisation the total perception system has to provide much more comprehensive and precise information to the path planning and behavior stages in order to allow proper operation. Based on our experience with the “Bertha Drive” as quasi autonomous vehicle, we got inside what is needed in the future. One outcome was, the sensor technology in cooperation with perception algo-concepts have to develop along other lines as compared to simple L2 systems. The key note will line out from a radar point of view what has been achieved so far and what will be needed in the future.

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I was born in a little village in the northwest of Italy and I graduated from Politecnico di Torino in 2009 as a mechanical engineer with a Master's in Automotive. I have covered different roles in vehicle dynamics in Italy for Fiat Chrysler Automobile and I joined Jaguar Land Rover in the UK as an ADAS Autonomous Emergency Braking System Engineer in 2015. ADAS and Active Safety have been part of my life since.

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I have spent around 10 years in the automotive world. Currently on a mission to make electric vehicles truly loved and leading the digital ecosystem team at Automobili Pininfarina. I along with our team had built the world's first globally connected hypercar, The Battista. I also build the digital ecosystem for the Automobili Pininfarina brand that offerers a range of customer experiences and connected products to our customers. I am a true believer in how technology can transform our lives and add value to them. I like sharing my knowledge and experience in the world of connected cars, digital services, automotive digital ecosystems, luxury digital use cases, etc.

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Norm is responsible for driving NVIDIA’s global Automotive industry enterprise go-to-market strategy, business development, and customer and partner relations. Marks is focused on establishing areas of application for how deep learning, data science and artificial intelligence, enabled by a new GPU computing revolution, will transform the Automotive and Transportation industry. Norm speaks frequently on topics around Autonomous Vehicles ranging from AI / Deep Learning, Data Management, Simulation and Re-Simulation, as well as the Customer Experience, Connected Vehicle, Smart Mobility and Connected Factory. Marks also speaks on Innovation, and leading-edge Artificial Intelligence in Automotive.

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Adam Kozłowski, Solution Architect and Head of Automotive R&D at Grape Up. He had worked as a C/C++ and JavaScript Developer before he started his journey to the Cloud and Machine Learning world. Adam is an active advocate of Kubernetes and open-source cloud-native solutions. He is a huge fan of RnD initiatives, rapid prototyping, MLOps and building great software products enhanced by ML algorithms. Throughout his career Adam was working with established enterprises like Rijkswaterstaat, Porsche or Allstate to build their mission critical systems. Currently responsible for consulting automotive projects, specializing in Cloud and MLOps solutions for the automotive industry.

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Firas Lethaus is Head of the deep learning expert center at the Volkswagen DATA:LAB Munich, Volkswagen Group. Prior to Volkswagen Group, he worked at AUDI AG, German Aerospace Center (DLR), Behavioural Brain Sciences Centre, University of Birmingham, UK, and as a freelancer. He has rich experience in the areas of automated driving, cognitive neuroscience, machine learning, applied cybernetics, statistics, psychophysics, eyetracking, and psycholinguistics. In addition, he reviews articles for several journals and conferences and is the co-founder of the global Volkswagen Group AI Team.

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Dr. Jürgen Bohn received his Master's degree in Computer Science from the Karlsruhe Institute of Technology (KIT), Germany and his PhD in Pervasive Computing from ETH Zurich, Switzerland. From 2006 to 2014, Dr. Bohn led the RFID group at Von Braun Labs in Campinas/Sao Paulo, Brazil, where he developed radio-frequency-based identification solutions for logistics, electronic vehicle registration and tolling. From 2014 to 2016, he was the Chief System Architect for the MYNXG Industrial Internet-of-Things (IIoT) platform at MyOmega Systems Technologies in Nuremberg, Germany. In 2016, Dr. Bohn joined Schaeffler Digitalization in Herzogenaurach to establish the Data Architecture & Engineering practice. With his team of data experts, he delivered and operated the Schaeffler Big Data & Analytics Platform and Schaeffler Data Lake on the Microsoft Azure Cloud, successfully enabling a wide range of data-driven digital business & data science initiatives. Since October 2020, Dr. Bohn is leading the Innovation Cluster for Artificial Intelligence in Corp. R&D at Schaeffler. He works closely with R&D business units worldwide to improve the functionality, performance and cost effectiveness of Schaeffler products using AI and machine learning methods. He is passionate about driving innovation by combining technologies and concepts from different fields to create novel solutions to real-world business problems, and has filed several patents in this regard. Finally, Dr. Bohn is the founder of Eximia Vita Consulting, where he provides services as a technical advisor, professional mentor, and certified coach using the LIFEBOOK™ methodology. Together with Kamila Hankiewicz from AI startup Untrite Ltd, he launched the podcast "AI That Matters" in February 2022.

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Michael is a Staff Machine Learning (ML) Specialist in the Customer Engineering division at Google Cloud who engages in innovative ML projects with customers. Before becoming an engineer at Google, Michael worked in similar roles at Amazon Web Services and in the “Predictive Maintenance Services” product team at SAP. After his studies in computer science at University of Mannheim, Michael spent several years in academia at the Karlsruhe Institute of Technology and obtained a PhD degree in computer science from TU Berlin.

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Duong-Van Nguyen is Head of ADAS from Panasonic Automotive Systems Europe

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Richard leads the Amazon Smart Vehicles International solutions architecture team, following his passion for automotive software and voice first experiences. His team helps brands to integrate and launch Alexa in their vehicles.  Prior to Amazon, Richard has worked at start-ups and larger companies such as Sun Microsystems and HARMAN International, always at the intersection of customer, technology and business. He studied chemistry at Imperial College of Science Technology and Medicine.

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Simon Fürst studied Aerospace Engineering at the Technical University of Munich. From 1993 till 2001 he was a research assistant at the institute of System Dynamics and Flight Mechanics at the University of the Federal Armed Forces in Munich. His research area was on onboard autonomous, vision based systems for navigation and landing of airplanes and helicopters. From 2001 till 2002 he worked for IABG in Ottobrunn as a project leader and consultant for the qualification of the high risk avionics software in the Tiger helicopter and the Eurofighter Typhoon. Since mid 2003 he is with BMW. There he is one of the authors of an internal software development standard for embedded software. From 2005 till March 2009 he was a member of the software group of the VDA NAA AA-I3 AK16 and a software expert in ISO TC22 SC3 WG16 working on ISO 26262, the functional safety standard for the automotive domain. During that time he was international project leader for some of the chapters of ISO 26262. In 2006 Fürst became BMW Project Leader for AUTOSAR. In 2008 he switched to the AUTOSAR Steering Committee. From July 2009 till March 2010 and from July 2015 till March 2016 he was AUTOSAR Spokesperson. Till March 2017 he was general manager for software development and software infrastructure being responsible for the AUTOSAR series roll-out at BMW. In April 2017 he became general manager for machine learning, reasoning and knowledge representation focusing on highly automated and autonomous driving. From October 2017 on the devision responsible for automated driving and driver assistant systems adapted its organization to agile principles. From then on Fürst became line manager for the development of software based features. In October 2019 was appointed principal experte for automated driving technologies. In December 2020 he became convener of the newly started ISO TC22/SC32/WG13 "Safety for driving automated systems". Since May 2022 he is coperation manager for automated driving at BMW.

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Joined Rimac as a backend developer on an internal M2M project in 2017.  Worked as a Backend developer on M2M system until early 2019 Pivoted to Product development in a team of 2 (first product development within Rimac), briefly on the C_Two vehicle level but then shifted to make an M2M project into a Connectivity platform and product by itself.  From late 2019 in a PO role responsible for Rimac Connectivity platform and all connected products - OEM Dashboard, and Nevera mobile app Built an idea of Connectivity platform from scratch to B2B product it is today. Currently part of a Product Development team within Digital Services and connectivity

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François E. Guichard is Manager, Automated and Connected Vehicle regulations and rules from UNECE

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Currently a Lead Product Manager at Sama, Renata is passionate about the intersection of technology and social impact. She manages Sama’s data labelling products to ensure high quality training data efficiently and reliably reaches our customers. Experienced in both product and business intelligence, Renata is a proven leader who takes a data driven approach to expand Sama’s capabilities and features. When not at work, you can usually find Renata playing Altiplanic instruments and enjoying time outdoors.

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Rosen Daskalov - CEO, Founder and Owner of SIN CARS, 49, graduated engineer. At 18, he became a Master of Karting sport in Bulgaria. In 1989 he started his studies at Technical University in Ruse, Bulgaria. In 1995 he established one of the largest auto repair shops in the region of Ruse. In 1998, he established a contract and imported auto parts from a German manufacturer. By 2001, he had established a network of 10 stores throughout Bulgaria, a warehouse for import and distribution of auto parts. The company becomes an official representative of more than 10 German companies, each of them a manufacturer of parts for first incorporation into assembly lines for major automobile companies. In 2008 he set up his own company, Ruse Car AG, an authorized BMW dealer and service center for northern Bulgaria. The auto parts business continues. In 2012, he founded the company SIN CARS as a result of a dream - to build his own sport car. Also is chairman of Bulgarian Karting Federation.

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Isabel V. M. Gora is part of the consulting leadership team within the Automotive Sector with a strong focus on digital business models, transformation management, digitization, process standardization, data analytics and trend -scouting. She has extensive knowledge in the automotive industry. Her experience runs from transformation management, production processes and quality, Features on Demand, to E2E process integration as well as joint venture management with focus on China.

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Andreas Herzig is a member of the management team of Risk Advisory in Germany and heads the Automotive Sector in Germany and EMEA for this function. He specializes in topics related to technology, digitization and regulation in the automotive industry. In particular, the digitization of vehicles, the supply chain and the retail sector in the automotive industry are the focus of Andreas Herzig's project experience.

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Recognized for his technical expertise as well as his vision, Pierre has numerous years’ experience in the development of high-tech products. Upon graduating from university in 1991, he joined CML Technologies, where very early on, his ability to manage projects in a pragmatic and efficient manner became clear. He quickly moved up the corporate ladder, while developing his management skills. Pierre has also designed a number of innovative, adaptable, practical, and robust products that are used worldwide in strategic applications such as emergency dispatch and air traffic control, and he holds several patents for his work. He then continued his career at Adept Technology Canada and at DAP Technologies before joining the LeddarTech team in 2010. Pierre holds a degree in electrical engineering from Université Laval and is a member of the Ordre des ingénieurs du Québec.

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Uzi brings nearly twenty years of experience in managing R&D teams and high scale projects at leading, global hi-tech companies. He joined Optimal+ in 2016 as VP of R&D, and has been instrumental in driving the company’s big data offering, enabling customers to innovate manufacturing through a data-centric approach. Beginning of 2019, Uzi assumed the lead of Optimal’s new growth business, and led the sales and delivery groups of Optimal+ Automotive and Electronics business unit until the acquisition of Optimal by National instruments. Before joining Optimal, Uzi served as VP of R&D in the Enterprise Group at NICE. Uzi holds a BA in Computer Science and Business Administration from the Open University.

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Martin Höfler holds a degree in physics from the Vienna University of Technology. He joined TTTech Auto in 2008, where he progressed through various positions in product, project and line management and is currently Director of Business Development. In this role Martin is responsible for technical Pre-Sales, Pre-Series projects and the global organization of the FAE team.