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Turning Motion into Intelligence: The Virtualized, Predictive, and Connected Chassis
The vehicle chassis is evolving from a purely mechanical structure to a software-defined, adaptive platform for Vehicle Motion Intelligence. Enabled by centralized, AI-driven control architectures, digital twins, and virtual sensors, modern chassis systems support predictive motion control, condition monitoring, and proactive maintenance. Highly actuated and interconnected components – including intelligent tires – create a flexible, reconfigurable, and scalable system. This transformation is crucial for autonomous, electrified, and connected vehicles, addressing safety, certification, and interoperability challenges while opening new opportunities for chassis-oriented mobility ecosystems.
Bio
Dr. Mark Wielitzka is a Senior Technical Consultant at IAV GmbH and an experienced technology and engineering leader with over 15 years of experience in automotive R&D, advanced engineering, and academia. His expertise lies in software-defined vehicles, with a strong focus on chassis systems, motion control, simulation, and system dynamics. In his current role, he is responsible for driving technological excellence within the organization, defining long-term technology strategies, and shaping multi-year technology roadmaps. Previously, he led the development of chassis software and functions at IAV, overseeing strategic initiatives, advanced R&D activities, and representing the company at key client meetings and international conferences. Before transitioning to industry leadership roles, Dr. Wielitzka held senior academic positions at the Leibniz University Hannover's Institute of Mechatronic Systems, including Deputy Institute Director and Research Group Leader, where he led publicly funded research in modeling, simulation, control, robotics, and machine learning. He earned his doctorate (Dr.-Ing.) with summa cum laude, specializing in state and friction estimation in vehicle dynamics
