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.
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