Martin Schels is an AI Engineer at Continental Automotive, where he works in the Research and Development department. Since joining Continental in 2019, he has been dedicated to advancing technologies in the automotive industry through his expertise in AI validation approaches. At Continental, he is involved in developing and validating AI systems that enhance vehicle safety, efficiency, and performance. His work includes collaborating with cross-functional teams to integrate AI solutions into automotive products, ensuring these technologies meet rigorous industry standards. He is passionate about bringing new technologies into traditional industries, driving innovation and transformation. Before joining Continental, he gained valuable professional experience in the railway industry, broadening his expertise in applying AI to various sectors. In addition to his technical skills, he is committed to staying at the forefront of AI research and contributing to the broader scientific community. Martin Schels holds a doctoral degree in Computer Science.
The Pop in Your Job – What drives you? Why do you love your job?
What drives me is the constant pursuit of innovation and the challenge of solving complex problems. I love my job because it allows me to work at the intersection of cutting-edge technology and real-world applications. Every day, I get to explore new AI validation approaches and see their impact on the automotive industry. The opportunity to collaborate with talented colleagues and contribute to advancements that enhance vehicle safety and efficiency is incredibly fulfilling. Knowing that my work helps bring new technologies into traditional industries and drives transformation keeps me motivated and passionate about what I do.
A | AI & ML Stream | Case Study
Monday, March 17
03:30 pm - 04:00 pm
Live in Berlin
Less Details
From past to future, mobility has been the heartbeat of life. Achieving seamless mobility will enable everyone to enjoy life more fully. However, as we strive to make this dream a reality, the complexity of systems increases, with AI playing a crucial role in bringing this vision closer. Beyond novel and complex functionalities, systems must ensure safe and secure operations. This new disruptive scenario, together with its enabler, AI engineering, introduces new challenges for safety engineering, making conventional approaches insufficient to guarantee safety. It is no longer enough to design a system, add safety features, and deploy it. Continuous monitoring, adjustments, development of the operational domain description, and further development are necessary. This underscores the importance of revisiting development and operational concepts to adapt to these evolving demands. In this session, you will: