Tuesday, September 24
03:30 PM - 04:00 PM
Live in Berlin
Less Details
Presenting the results of our World Cafés: The moderators summarize the key takeaways of their World Café Round Tables on the main stage and share the main findings with all attendees.
Strong information technology professional with a Doctor of Philosophy (Ph.D.) focused on Stochastic Estimation and Control Theory. Professional background in Sensor Data Fusion, Signal Processing and Target Tracking with applications in Air Defence and Driver Assistance Systems. Teaching experience in many fields of Control Theory. Expertise in modelling and simulation of dynamic systems and programming in Matlab & Simulink. Strong interpersonal skills, working ethics and result oriented team-work style.
Strong information technology professional with a Doctor of Philosophy (Ph.D.) focused on Stochastic Estimation and Control Theory. Professional background in Sensor Data Fusion, Signal Processing and Target Tracking with applications in Air Defence and Driver Assistance Systems. Teaching experience in many fields of Control Theory. Expertise in modelling and simulation of dynamic systems and programming in Matlab & Simulink. Strong interpersonal skills, working ethics and result oriented team-work style.
At The Goodyear Tire & Rubber Company, my focus is on pioneering tire intelligence solutions that ensure seamless and reliable transportation through Goodyear SightLine. With a track record of successful entrepreneurship and business development, I leverage a blend of skill development and marketing communications expertise to advance our initiatives. My recent tenure as a co-founder and leader at Intelirex has honed these competencies, directly contributing to the creation and growth of data-driven technologies for vehicle system optimization. My mission within the mobility sector is to forge connections that enhance safety and sustainability. This is achieved through innovative strategies and a passion for value creation that resonates with customers, partners, and stakeholders. As a multilingual professional with a dynamic international background, I bring a wealth of diverse perspectives to the table, enriching our team's approach to overcoming industry challenges and driving the digital transformation of transportation.
Dr. Aidmar Wainakh is a researcher specializing in Product Cybersecurity & Privacy at Continental since 2022. He previously held a position as a researcher at the Technical University of Darmstadt, where he successfully completed his PhD as part of the interdisciplinary Research Training Group "Privacy and Trust for Mobile Users." During his doctoral studies, Dr. Wainakh focused on exploring the intricacies of privacy within distributed social networks and distributed machine learning, specifically in the context of federated learning. Additionally, he gained valuable experience in computer vision while working at Fraunhofer IGD. Dr. Wainakh has shared his insights in several publications in the fields of network security, privacy, federated learning, distributed systems, and computer vision. Presently, he actively engages in research endeavors centered around Security for AI and AI for Security, alongside his involvement in various automotive privacy initiatives.
The Pop in Your Job – What drives you? Why do you love your job?
What truly drives me is the opportunity to delve into the fascinating realm of applied research topics, especially AI Security and Privacy in automotive industry. The ever-evolving nature of this field constantly presents new challenges and possibilities, igniting my passion and fueling my drive. I am captivated by the intricate interplay between AI and security, and the potential to shape the future of technology in a way that safeguards individuals and organizations. Contributing to the development of innovative solutions and playing a part in protecting connected and software-defined vehicles brings me immense satisfaction and a deep sense of purpose.
Dr. Aidmar Wainakh is a researcher specializing in Product Cybersecurity & Privacy at Continental since 2022. He previously held a position as a researcher at the Technical University of Darmstadt, where he successfully completed his PhD as part of the interdisciplinary Research Training Group "Privacy and Trust for Mobile Users." During his doctoral studies, Dr. Wainakh focused on exploring the intricacies of privacy within distributed social networks and distributed machine learning, specifically in the context of federated learning. Additionally, he gained valuable experience in computer vision while working at Fraunhofer IGD. Dr. Wainakh has shared his insights in several publications in the fields of network security, privacy, federated learning, distributed systems, and computer vision. Presently, he actively engages in research endeavors centered around Security for AI and AI for Security, alongside his involvement in various automotive privacy initiatives.
The Pop in Your Job – What drives you? Why do you love your job?
What truly drives me is the opportunity to delve into the fascinating realm of applied research topics, especially AI Security and Privacy in automotive industry. The ever-evolving nature of this field constantly presents new challenges and possibilities, igniting my passion and fueling my drive. I am captivated by the intricate interplay between AI and security, and the potential to shape the future of technology in a way that safeguards individuals and organizations. Contributing to the development of innovative solutions and playing a part in protecting connected and software-defined vehicles brings me immense satisfaction and a deep sense of purpose.
is an expert in robotics, automation, and automotive systems, with a Ph.D. from the National Technical University of Kyiv Polytechnic Institute. He has worked as an Electronics Engineer at Samsung, and as a Consultant at Global Logic Ukraine, currently at N-iX. Humennyi holds certifications in MathWorks tools, Siemens TIA Portal, and ISO standards for Functional Safety and CyberSecurity. He teaches at his alma mater and has published work on capturing non-cooperative spacecraft. His current research focuses on super-critical states of technical objects as he pursues a Doctor of Science in Engineering.
Oli is a seasoned expert with 13 years experience in sales and business development within the automotive industry, specializing in autonomous driving systems and LiDAR technology. At Seyond, a leading LiDAR developer and producer, he plays a pivotal role in advancing automotive innovation.
After studying economics and management at Ravensburg-Weingarten, Oli launched his career in 2011 at Airbus Defence & Space, working on LiDAR systems for helicopters. He then spent nearly seven years at Valeo, collaborating with top European OEMs on ADAS and autonomous driving technologies. Oli later joined the startup Scantinel Photonics, where he advanced FMCW LiDAR technology. His deep expertise in ToF and FMCW LiDAR, coupled with a strong customer focus and extensive OEM network, solidifies his position as a key player in the industry.
The Pop in Your Job – What drives you? Why do you love your job?
Autonomous driving fuels my passion for cutting-edge technologies that enhance safety, comfort, and efficiency in our fast-paced world. I'm driven by the goal of making driving safer, reducing accidents, and ultimately contributing to a better world. I dream of a future where I can simply press a button, let the car take over, and enjoy quality time with my family — whether it's watching a movie or playing cards — so that our vacation starts the moment we get in the car.
Matthias Zeller is a Ph.D. Candidate at CARIAD SE, Mönsheim, Germany, and the Photogrammetry and Robotics Lab at the University of Bonn, headed by Cyrill Stachniss. He has over 3 years of experience in the automotive industry focusing on deep learning. His current research focuses on radar-based scene understanding for self-driving vehicles.
Award-winning professional with expertise in launching new businesses in corporate and start-up environment. Deep experience in digitization, data-related ventures, new business modelling with trans-functional and co-creation focused teams. True networker with a passion for leveraging partner synergies and building meaningful initiatives jointly.
Wilfried Philips is senior full professor at Ghent University, where he heads the research group IPI (Image Processing and Interpretation). He also leads the sensor fusion research within the research organization imec and is co-founder of Ghent University's UAV research center and UGent's research valorization consortium iKNOW which fosters and develop research partnerships and collaborations with industry, and stimulates spin off creation and IP transfer. Wilfried Philips's main research interests are in the domains of image and video quality improvement, real-time computer vision and multi-modal sensor fusion of regular, hyper-spectral and thermal camera, radar and LiDaR. Road user detection and tracking for Drive Assistance and autonomous driving, safety in factories and at sea and advanced multimodel mapping from UAVs and remote sensing are the most important application areas. IPI has a rich history of both academic research and cooperation with industry, featuring over 100 projects with industry, and many EU projects. The research group has created several spin-offs, including Pozyx (industrial real time location tracking) and Senso2Me (Internet of Things solutions for elderly care).
The Pop in Your Job – What drives you? Why do you love your job?
At IPI we like creating solutions to real-world problems, specifically difficult sensing and scene analysis problems. As an academic research group we like to develop fundamental concepts, such as specific fusion architectures or restoration algorithms. However, we also like those concepts to find practical use. We have therefore cooperated a lot with industry, thus learning about a wide variety of sensing sensor fusion and computer vision problems and appreciating industrial requirements such as the need to achieve specific accuracy levels, processing speeds, and cost levels. This has not only lead to applied research on very concrete topics with local companies, but also to more elaborate research programs with multinationals. This cooperation has also helped us evaluate the value and restrictions of our research in real-world applications, including on real-life data captured in real-life traffic.