Find Academic Supervisors

• Cybersecurity
• Electronic Identity
• Network Security
• +7 more

Antonio Lioy is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin. He serves as the Cyber Security Representative for the university in national and European government collaborations, is a member of the SmartData@PoliTO interdepartmental center, and acts as Scientific Advisor for the DRIVESEC partnership. His research is deeply rooted in cybersecurity, electronic identity, network and web security, and quantum-resistant systems. His research interests focus on cybersecurity , electronic identity , network security , web security , and quantum cryptography . He leads the TORSEC Security Group and conducts research in LAB 7, with a strong emphasis on trusted computing, post-quantum cryptography, IoT security, and secure network infrastructures. His work aligns with ERC sectors in computer systems and cryptology, and supports UN SDGs on innovation and sustainable cities. His recent publications show a strong trend toward post-quantum cryptography , remote attestation , trusted execution environments , and secure network virtualization . These works appear in top venues such as IEEE, ACM, and IFIP conferences, with a focus on securing future digital infrastructures against emerging threats. Themes include integrity management in softwarized networks, standard-based attestation, and quantum-resistant PKI strategies. He has supervised numerous PhD students, including Davide Colaiacomo, Francesco Vaccaro, Flavio Ciravegna, Grazia D'Onghia, Lorenzo Ferro, Francesco Settanni, Enrico Bravi, Silvia Sisinni, Luca Mannella, and Ignazio Pedone, whose research spans cybersecurity, quantum computing, and IoT. He leads multiple high-profile research projects such as Q-FENCE, QUBIP, SERICS, and FISHY, funded by Horizon Europe and national programs, demonstrating significant grant acquisition and leadership. He is actively involved in research labs and teams, primarily the TORSEC - Security Group (DAUIN) and LAB 7 - Research Laboratory (DAUIN) , which focus on applied cybersecurity research. His projects often involve collaboration with industry and government bodies, emphasizing real-world impact in secure digital identity, critical infrastructure protection, and quantum-safe transitions.

Byron BootsView profile

Professor

• Machine Learning
• Artificial Intelligence
• Robotics
• +5 more

Byron Boots is the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, where he directs the UW Robot Learning Laboratory. He also serves as a Principal Research Scientist in the Seattle Robotics Lab at NVIDIA Research and co-chairs the IEEE Robotics and Automation Society Technical Committee on Robot Learning. Dr. Boots received his Ph.D. from the Machine Learning Department in the School of Computer Science at Carnegie Mellon University, where he was a member of the Sense, Learn, Act (SELECT) Lab co-directed by Carlos Guestrin and his advisor Geoff Gordon. Prior to joining the University of Washington faculty, he was an Assistant Professor in the School of Interactive Computing within the College of Computing at Georgia Tech, and before that, he completed a post-doc in the Robotics and State Estimation Lab directed by Dieter Fox at the University of Washington. Professor Boots' research focuses on the intersection of machine learning, artificial intelligence, and robotics, with particular emphasis on developing theory and systems that tightly integrate perception, learning, and control. His work spans computer vision, state estimation, localization and mapping, high-speed navigation, motion planning, and robotic manipulation. His group develops algorithms drawing from deep learning and neural networks, nonparametric statistics, graphical models, nonconvex optimization, quantum physics, online learning, reinforcement learning, and optimal control. The research demonstrates a strong theoretical foundation while maintaining practical relevance to real-world robotic systems. His recent publications reveal a clear trend toward integrating advanced machine learning techniques with robotics, particularly in model predictive control, motion planning, and learning-based approaches to robot control. His work shows increasing focus on developing theoretically grounded methods that can handle the complex, nonlinear dynamics of real-world robotic systems while maintaining computational efficiency. The publications span top venues including ICRA, CoRL, IROS, and NeurIPS, demonstrating broad impact across multiple subfields of robotics and AI. Finalist for Best Systems Paper at Conference on Robot Learning (CoRL-2021) Multiple papers selected for oral presentations at top robotics conferences Work recognized for theoretical contributions and practical applications in robot learning As director of the UW Robot Learning Laboratory, Boots leads a vibrant research group focused on fundamental and applied research in robot learning. The lab maintains strong collaborations with NVIDIA Research and has produced numerous high-impact publications that bridge theory and practice. Professor Boots teaches courses in autonomous robotics, machine learning, and reinforcement learning, contributing to both undergraduate and graduate education at the University of Washington.

Michael HutterView profile

Professor

• Applied Cryptography
• Hardware Security
• Side-Channel Analysis
• +7 more

Michael Hutter is a Professor of Embedded Systems Security at the Bundeswehr University Munich (FI CODE / Faculty of Computer Science) since March 2025. His research focuses on the secure and efficient implementation of cryptographic algorithms, particularly against physical attacks like side-channel analysis and fault injection, with applications in post-quantum cryptography and AI-driven security solutions. Education : Ph.D. (2014) from Graz University of Technology; Habilitation (2016) in Applied Information Processing. Research Areas : Hardware security, IoT security, quantum-safe cryptography, and AI integration in attack detection. The ESSEC research group, led by Prof. Hutter, emphasizes hardware-software co-design for robust security architectures, as seen in the EU-funded FORTRESS project (2025-2028), which develops hybrid post-quantum/traditional cryptographic solutions. His recent work includes advancements in mask conversion techniques for side-channel resistance. Prof. Hutter is a member of the International Association for Cryptologic Research (IACR) , IEEE , and chairs the CHES 2025 program committee. He has authored over 70 publications and holds 20+ patents in cryptographic hardware security.

Nada El KassemView profile

Research Fellow

• Cryptography
• Hardware Security
• Quantum Computing
• +2 more

Dr. Nada El Kassem is a Research Fellow in Trusted Computing and Applied Cryptography at the Computer Science Research Centre, University of Surrey's Faculty of Engineering and Physical Sciences. Her current research focuses on anonymous authentication, quantum-resistant cryptographic solutions, hardware security, and fully homomorphic encryption. She has made significant contributions to lattice-based cryptography, particularly in Direct Anonymous Attestation (DAA) schemes for trusted platform modules. Her research explores cryptographic protocols that maintain security against quantum computing threats while optimizing for efficiency in constrained hardware environments. Recent publications demonstrate advancements in post-quantum signature schemes, privacy-preserving identity systems, and efficient lattice-based implementations. Before joining Surrey, El Kassem taught mathematics courses including Linear Algebra, Calculus, and Engineering Mathematics at Lebanese International University (2008-2011) and led tutorial sessions for Foundations of Computing at Surrey.