معرفی
Prof. Dr.-Ing. habil. Gerhard Wunder is a Cybersecurity & AI Professor at Freie Universität Berlin (FU Berlin), supported by the prestigious DFG Heisenberg Fellowship. He leads the Cybersecurity and AI group focusing on secure AI systems, federated learning, quantum cryptography, and 5G/6G communications. His affiliations include the Department of Mathematics and Computer Science, Institute for Computer Science, and the Heisenberg CIT Group.
Educations: Electrical Engineering Diploma (TU Berlin, 1999), PhD (TU Berlin, 2003, Summa Cum Laude), Habilitation Degree (2007). Visiting Professorships at Georgia Tech and Stanford University. Consultant at Bell Labs (2009).
Research interests span secure machine learning, physical layer security, federated learning, blockchain applications, and wireless security. His work addresses challenges in IoT security, explainable AI, and next-gen communication systems. Notable projects include PROPHYLAXE (IoT security), UltraSec (UWB IoT security), and 5GNOW (5G waveforms).
Recent publications emphasize UWB security, federated learning optimizations, and causal models for quantum correlations. Awards include the IEEE Best Tutorial Paper (2021) and the Heisenberg Fellowship (2014). He coordinates EU projects like FANTASTIC-5G and leads initiatives on generative AI risks.
Grants and funding include DFG priority programs (CoSIP, CPN), BMBF projects, and EU Horizon 2020. Active in conference organization, notably co-chairing IEEE GLOBECOM 2017 and IEEE ICC 2022 tracks.
Labs/Teams: Cybersecurity and AI group at FU Berlin, Heisenberg CIT Group, collaboration with Fraunhofer HHI and industry partners like Bundesdruckerei GmbH.
