
Jonathan Passerat-Palmbach
پژوهشگر ارشد · Artificial Intelligence
Imperial College Londonمعرفی
Dr. Jonathan Passerat-Palmbach is an Academic Visitor at the Department of Computing, Imperial College London, and a Research Fellow at Imperial College's BioMedIA group and City, University of London's CitAI. He holds a PhD in High Performance Computing from Blaise Pascal University. His research focuses on Privacy-Preserving Machine Learning (PPML), Federated Learning, Secure Computing, and Blockchain applications in decentralized systems. He explores technologies like Trusted Execution Environments (TEEs), Homomorphic Encryption, and Zero-Knowledge Proofs to address data sovereignty challenges. His work bridges AI and blockchain, tackling issues like Maximum Extractable Value (MEV) in blockchains and decentralized collaborative learning.
Education: PhD in High Performance Computing (2013, Blaise Pascal University), MEng (2010, ISIMA), BSc (2007, Institut Universitaire et Technologique).
Research Interests: Privacy Enhancing Technologies (PETs), Decentralized Computing, Federated Learning, Secure Computing (including TEEs and FHE), Verifiable Computing, Blockchain applications, and AI ethics. His projects include frameworks like ARIA for federated visual classification and 2CP for contributivity evaluation in blockchain-based FL.
Publications Highlights: Over 50+ publications, including seminal work on privacy-preserving frameworks (e.g., A generic framework for PPDL), federated learning optimization (ARIA), and blockchain integration (e.g., MEV mitigation via decentralized commitment devices). Recent work addresses adversarial attacks in collaborative ML and end-to-end privacy in medical imaging.
Awards & Recognition: Supervised students received Department prizes for excellence in projects (e.g., Bianca Ganescu, 2023; Dmitrii Usynin, 2020). His research has been featured at top venues like NeurIPS, ISBI, and IEEE conferences.
Labs/Teams: Leads projects at BioMedIA (Imperial) and CitAI (City University), focusing on healthcare consortia and decentralized AI systems. Actively collaborates on tools like Split HE and 2CP protocols.
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