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Sergio Maffeis is an Associate Professor in the Department of Computing at Imperial College London, focusing on web security, machine learning, and formal methods. He leads the Security and Machine Learning Lab, driving research in critical areas of cybersecurity. Dr. Maffeis has made significant contributions to the field through his publications and has served as a program committee member for leading cybersecurity conferences. His current research interests include advancing methodologies in detecting vulnerabilities, implementing machine learning techniques in intrusion detection, and exploring formal methods to enhance software security. Dr. Maffeis encourages collaboration and innovation, actively seeking outstanding PhD candidates with a solid background in formal methods, particularly those interested in security applications. He emphasizes the importance of peer-reviewed publications as a criterion for admission into PhD programs. With extensive experience in guiding students, he aims to cultivate a new generation of experts in cybersecurity.
Imperial College London • London, ENG, United Kingdom
Associate Professor in the Department of Computing, specializing in Web Security and Machine Learning.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.