Find Academic Supervisors

Duong Hieu PhanView profile

Professor

• Cryptography
• Provable Security
• Functional Encryption
• +7 more

Duong Hieu Phan is a Professor at Telecom Paris, part of the Institut Polytechnique de Paris, and Head of the Cybersecurity-Cryptography team. He holds a Ph.D. in Computer Science from Ecole Normale Supérieure and has extensive postdoctoral experience at University College London and research roles at France Telecom R&D. His academic career includes roles as an assistant/associate professor at LAGA, University of Paris 8 (2007–2015), and later as a professor and director of the Master 2 Maths CRYPTIS program at XLIM, University of Limoges (2015–2020). His research focuses on cryptography, with emphasis on provable security, functional encryption, privacy-preserving systems, and anamorphic cryptography. Key areas include secure communication mechanisms against oppressive surveillance, decentralized systems, and post-quantum security. He has contributed to foundational work on CCA security for FHE, quantum-resistant protocols, and verifiable functional encryption. Prof. Phan is actively involved in professional committees, including IACR ASIACRYPT and PKC steering committees, and editorial boards such as the IACR CIC Journal. He promotes Franco-Vietnamese scientific collaboration through roles in the CNRS IRL partnership. His teaching spans cryptography, algorithms, and mathematics at undergraduate and master’s levels, including program coordination and research supervision.

Petr KuznetsovView profile

Professor

• Distributed Systems
• Algorithms
• Synchronization
• +3 more

Petr Kuznetsov is a Professor at Telecom Paris (Institut Polytechnique de Paris), affiliated with the Department of Computer Science and Networks (INFRES). He leads the Autonomous Critical Embedded Systems (ACES) research team at the Information Processing and Communication Laboratory (LTCI). His work bridges theoretical foundations and practical applications in distributed systems. Research Focus: Kuznetsov specializes in distributed algorithms, synchronization protocols, failure detection mechanisms, and the application of algebraic topology to distributed computing. His recent work explores Byzantine fault tolerance, blockchain consensus, and concurrency in networking infrastructures. Recent Publication Trends (2015-2025): His articles predominantly focus on scalability and resilience in distributed systems, with emerging themes in blockchain technologies, Byzantine fault tolerance, and concurrency optimization. Theoretical contributions include computability theorems and complexity bounds, while applied work targets payment systems and distributed ledgers. Awards & Honors: Best Paper Award at DISC 2019 for Scalable Byzantine Reliable Broadcast Best Student Paper Award at PODC 2018 for An Asynchronous Computability Theorem for Fair Adversaries Projects & Advising: He directs the TrustShare Innovation Chair (large-scale data synchronization) and DISCMAT (mathematical foundations of distributed computing). Actively seeks PhD candidates for projects on distributed algorithms and concurrency. Laboratory & Teams: Heads the ACES team at LTCI, focusing on critical embedded systems and fault-tolerant distributed architectures. Collaborates internationally through workshops like SPTDC.

David PointchevalView profile

Researcher

• Cryptography
• Provable Security
• Cryptographic Protocols
• +3 more

David Pointcheval is a CNRS Researcher at the Computer Science Department of École Normale Supérieure (ENS) in Paris, France. Since 2005, he has led the Cryptography Team, which has been associated with Inria since 2008. He became the Chair of the Computer Science Department at ENS in 2017. Education: PhD in Computer Science (1996) from University of Caen. His research focuses on the provable security of cryptographic primitives and protocols. He has contributed to privacy-preserving aggregation techniques for data from multiple sources, including work on homomorphic encryption and functional encryption. He has served as program chair for major cryptography conferences (PKC 2010, Eurocrypt 2012) and held leadership roles in the International Association for Cryptologic Research (IACR) as one of nine elected directors for nine years. He holds over 150 international publications and a dozen patents. Scientific Awards: ERC Advanced Grant (Privacy for the Cloud)

Phong NguyenView profile

Research Professor

• Cryptography
• Cryptanalysis
• Post-quantum Cryptography
• +5 more

Phong Nguyen is a Research Professor at Inria (Directeur de recherche) and a part-time professor at the Computer Science Department (DI ENS) of École Normale Supérieure (ENS), PSL University in Paris. He leads the ENS Crypto Team (Inria Equipe Projet Cascade) and serves as the principal investigator for the ERC Advanced Grant PARQ (2020) focused on lattices in parallel and quantum computing. He holds a PhD (1999) and Habilitation (2007) from ENS-Lyon, with an agrégation de mathématiques (1997). His research integrates cryptography, algorithmic number theory, and lattice-based computations, emphasizing: Cryptanalysis : Deconstructing cryptographic protocols, especially lattice-based systems Post-quantum cryptography : Developing quantum-resistant solutions Lattice algorithms : Optimization of reduction, enumeration, and sieving techniques Real-world applications : Bridging theoretical constructs with practical security implementations His publications (spanning Eurocrypt, Asiacrypt, and Journal of Cryptology) demonstrate deep expertise in lattice cryptography, with recurring themes in algorithm efficiency, cryptanalysis of NTRU/GGH systems, and theoretical advancements in lattice reduction. Recent work (2024) continues this trajectory with improved BKZ analysis and hypercubic lattice optimizations. Awards include : ERC Advanced Grant (2020) for PARQ project Best Paper Award at EUROCRYPT 2006 Cor Baayen Award (2001) He advises PhD students (e.g., Henry Bambury, Leo Ducas) and interns from institutions like École Polytechnique and ENS. He directs the ENS Crypto Team and previously held leadership roles as: French Director of the Japanese-French Laboratory for Informatics (2015-2019) European Director of LIAMA (Sino-European Computer Science Lab, 2013-2015) Coordinator of ECRYPT II virtual labs (2008-2012)

Hanjun KimView profile

Researcher

• Compiler Design
• Machine Learning
• Parallel Computing
• +3 more

Hanjun Kim is a researcher at Yonsei University, focusing on compiler design, machine learning optimization, and hardware-aware programming techniques. His work bridges theoretical research with practical implementations in embedded systems and security domains. Research Interests Compiler-driven optimization for PIM (Processing-in-Memory) architectures Homomorphic encryption compiler design Parallel computing for DNN/LLM inference Network function program analysis Recent research trends include: application of compiler techniques to optimize resource utilization in heterogeneous computing environments, particularly for AI workloads and secure computation. His publications demonstrate expertise in tackling performance bottlenecks through architectural and compiler co-design. Conference Service 2025 SPLASH OOPSLA Review Committee 2025 LCTES Program Committee 2024 CGO Program Committee 2023 LCTES Program Committee 2022 CGO Organization Committee 2020 LCTES Program Committee

• Cryptography
• Security
• Privacy
• +3 more

Dario Fiore is a Research Professor at the IMDEA Software Institute in Madrid, Spain. He holds a Ph.D. in Computer Science from the University of Catania (Italy), supervised by Dario Catalano, with postdoctoral positions at Max Planck Institute for Software Systems (Germany), New York University (USA), and École Normale Supérieure (France). His research focuses on theoretical and practical aspects of Cryptography, emphasizing secure computation, privacy-preserving technologies, and cryptographic protocols. Fiore has authored over 69 conference papers and 19 journal articles, with notable contributions to zero-knowledge proofs, homomorphic encryption, and verifiable computation. He leads a research group involving postdocs and students, and has secured grants such as the ERC Consolidator Grant PICOCRYPT and funding from NEC Laboratories Europe. Education: Ph.D. in Computer Science, University of Catania, 2010 Visiting Student: New York University (2009-2010), IBM Research (2008-2009) Research Interests: Cryptography, Security, Privacy, Zero-Knowledge Proofs, Secure Computation, Homomorphic Encryption His work bridges foundational cryptography with real-world applications, including privacy-preserving systems and blockchain technologies. Recent research highlights include verification-efficient homomorphic signatures, non-malleable zkSNARKs, and efficient zero-knowledge proofs for data streams. Grants & Awards: ERC Consolidator Grant PICOCRYPT (2021-2026, PI) Top Reviewer Award at ACM CCS 2022 Best Short Paper at JNIC 2015 Fiore actively participates in program committees (e.g., Eurocrypt 2025) and has delivered keynotes on cryptographic topics. His team's work is implemented in libraries like 'hsnp' for homomorphic signatures.

Woosuk LeeView profile

Researcher

• Program Analysis
• Program Synthesis
• Computer Science
• +1 more

Woosuk Lee is a researcher at Hanyang University in South Korea, specializing in Program Analysis and Program Synthesis . He has been actively involved in academic activities since 2015, contributing to major conferences like OOPSLA, PLDI, POPL, and ESEC/FSE. Current affiliation: Hanyang University Research interests: Program Analysis, Program Synthesis His research focuses on automating program generation through inductive methods and abstract interpretation. Key contributions include: Advancing iterative forward-backward abstract interpretation for program synthesis (2023) Structurally recursive functional program synthesis (2023) Homomorphic encryption circuit optimization via term rewriting (2020) Data-driven feedback systems for programming education (2021) He has served on program committees for PLDI (2024), POPL (2022), and SPLASH (2025), while also chairing workshops at PLDI 2026. His work bridges theoretical computer science with practical software engineering applications.

• Hardware Security
• Embedded Systems Security
• Physically Unclonable Functions (PUFs)
• +7 more

Jean-Luc Danger is a Professor at TELECOM Paris where he currently heads the Digital Electronic Systems Research Group. He is affiliated with the Secure and Safe Hardware (SSH) Research Team within the Information Processing and Communication Laboratory (LTCI). With a career spanning over three decades in academia after 12 years in industrial research at PHILIPS and NOKIA, Professor Danger has established himself as a leading expert in hardware security and cryptographic implementations. Professor Danger received his degree in electrical engineering from SUPELEC in 1981 before embarking on his industrial career. His academic journey began in 1993 when he joined TELECOM Paris, where he has since made significant contributions to the field of hardware security. His educational background in electrical engineering provided the foundation for his later specialization in secure hardware design and analysis. Professor Danger's research primarily focuses on embedded systems security , physically unclonable functions (PUFs) , side-channel attacks and countermeasures , and fault injection techniques . His work bridges the gap between theoretical cryptography and practical hardware implementations, addressing critical security challenges in modern computing systems. His research has evolved from foundational work on cryptographic algorithms to more recent investigations into hardware Trojans, aging effects on security primitives, and automotive security systems. Professor Danger has been particularly influential in developing methodologies for analyzing and protecting against electromagnetic fault injection attacks and side-channel information leakage. His extensive publication record demonstrates a consistent focus on hardware security challenges, with recent work showing increased attention to automotive security systems, machine learning applications for intrusion detection, and reliability issues in security primitives affected by aging and process variations. The trajectory of his research shows a natural progression from pure cryptographic implementations to more holistic security approaches that consider the entire hardware stack and its vulnerabilities. Through his leadership of the Secure and Safe Hardware research team, Professor Danger has fostered a collaborative environment that bridges theoretical security research with practical hardware implementation challenges. His work has contributed significantly to the development of standardized methodologies for evaluating hardware security and has influenced both academic research and industry practices in secure hardware design.

Jean-Pierre HubauxView profile

Professor

• Genome Privacy
• Genome Security
• Network Security
• +3 more

Jean-Pierre Hubaux is a Full Professor at the School of Information and Communication Sciences, Swiss Federal Institute of Technology in Lausanne (EPFL), where he pioneers foundational tools for privacy in hyper-connected systems. His work bridges computer science and healthcare, focusing on critical security challenges in emerging technologies. His research centers on genome privacy and security, where he has designed cryptographic solutions since 2011 in collaboration with Lausanne University Hospital (CHUV) and EPFL's School of Life Sciences. He co-founded the International Workshop on Genome Privacy and Security (GenoPri.org), chairs its steering committee, and actively contributes to the GA4GH Security Working Group. His work addresses inference attacks against genomic databases, kinship implications, and develops architectures for secure phenotypic/genomic data sharing using partial homomorphic and lattice-based encryption. His notable recognitions include: IEEE Fellow (2008) for contributions to network security and privacy ACM Fellow (2010) for pioneering work in privacy-enhancing technologies Professor Hubaux leads major research initiatives including a privacy-conscious data-sharing system for Swiss hospitals under the Swiss federal government's Information Security Task Force. His projects involve significant collaborations with healthcare institutions and research bodies, though specific grant details and student names aren't documented in the source material. He operates within EPFL's Laboratory for Computer Communications and Applications (LCA), directing a research team focused on developing practical security frameworks for precision medicine and mobile networks. His lab maintains the genomeprivacy.org community portal and the genomic-privacy project repository.

Reda BELLAFQIRAView profile

Researcher

• Federated Learning
• Homomorphic Encryption
• Data Security
• +3 more

Reda BELLAFQIRA is an Enseignant Chercheur (Researcher) at IMT Atlantique's Data Science Department, based in Brest. His work focuses on securing sensitive data processing in distributed systems, combining cryptography with machine learning techniques. Key areas include federated learning, homomorphic encryption, and watermarking for intellectual property protection. He has contributed to privacy-preserving frameworks in healthcare and IoT applications, emphasizing secure collaborative data analysis without compromising confidentiality. Research Interests: Secure federated learning architectures and robustness against adversarial attacks Cryptography applications in AI, including homomorphic encryption for encrypted data processing Watermarking techniques for model integrity and ownership in distributed environments Privacy-preserving methods for healthcare data (e.g., EHRs, genomics) IoT cybersecurity and embedded system security for medical devices Key Contributions: His 2025 work on blockchain-enhanced watermarking for federated learning and 2023 research on automated EHR de-identification exemplify his focus on practical security solutions. Recent trends show increasing emphasis on interdisciplinary approaches merging cryptography with healthcare informatics and IoT systems. Labs/Teams: Active in IMT Atlantique's Data Science Department research groups, collaborating on EU-funded projects related to federated learning in healthcare and secure IoT ecosystems.

Jacques SternView profile

Professor

• Cryptography
• Cryptanalysis
• Public Key Encryption
• +5 more

Jacques Stern is a renowned Professor of Computer Science at the École normale supérieure (ENS) in Paris, France, where he has held a position since 1992. He has also served as Director of the Computer Science Laboratory at ENS from 1996 to 2007 and as Chairman of the Board for Ingenico SA and the Agence Nationale de la Recherche (ANR). His work has significantly advanced cryptology, particularly in areas like public-key encryption, cryptanalysis, and cryptographic protocols. École polytechnique (1968) École normale supérieure (1968–1972) Agrégation de Mathématiques (1971) PhD in Sciences (1975) Jacques Stern's research spans foundational and applied aspects of cryptography. Key interests include complexity theory , public-key encryption , block ciphers , cryptographic protocols , and cryptanalysis . His work on coding theory and smart card applications bridges theoretical and practical security challenges. His publications emphasize cryptanalysis of public-key systems, signature schemes , and security proofs . Notable trends include lattice-based cryptography , algebraic attacks , and provable security frameworks. CNRS Gold Medal 2006 RSA Award for Excellence in Mathematics 2007 CNRS Silver Medal 2005 Prix Lazare Carnot 2003 Prix Science et Défense 2008 Fellow of IACR 2005 Jacques Stern has advised numerous researchers through collaborations with scholars like David Pointcheval, Antoine Joux, and Guillaume Poupard. His leadership roles at ENS, ANR, and ARCEP reflect his influence on national research and cybersecurity policy. He has contributed to cryptographic standards, including evaluations of AES candidates. As Director of the ENS Computer Science Laboratory (1996–2007), he fostered interdisciplinary research. His later advisory roles (e.g., ARCEP, 2012–) continue to shape electronic communications regulation.

• Data Privacy
• Federated Learning
• Artificial Intelligence
• +4 more

Faiza Loukil is a Lecturer at the University of Savoie Mont Blanc, affiliated with the LISTIC laboratory and Polytech Annecy-Chambéry. She holds multiple roles, including Membership in the LISTIC laboratory council and Educational Manager for the L1/L2 economics-management program in IT, Digital, and Industrial Management (INGI) at IAE Savoie Mont Blanc. Her teaching focuses on Information Systems, Algorithms, Python programming, and Data Processing with Python. Her research interests center on privacy-preserving technologies, federated learning, AI applications in Human Resources, and blockchain-based solutions for data security. She leads the ANR JCJC-funded PriFeDAP project (2024–2028), exploring federated learning with domain adaptation, and co-leads the AI4DHN project (2024–2026) on AI-driven district heating network optimization. Key collaborations include Cegedim SRH (CIFRE theses on HR data processes) and international universities like the University of Sfax and Dhar El Mahraz Fez. Recent work emphasizes federated learning’s ethical challenges, bias mitigation in decentralized systems, and blockchain frameworks for circular economy applications. Her publications span AI ethics, IoT privacy, and smart contract implementations. Supervision includes thesis co-direction (e.g., Pierre Dardouillet on federated learning in HR software) and international internships in data science and blockchain. Teaching mobility includes delivering blockchain courses at the University of Monterrey via Erasmus+. Her interdisciplinary approach bridges technical innovation with societal impact in fields like healthcare, energy, and education.

Nesrine KAANICHEView profile

Lecturer

• Cybersecurity
• Cloud Computing Security
• Privacy-Preserving Technologies
• +5 more

Nesrine KAANICHE is a Lecturer at Telecom SudParis, affiliated with the SAMOVAR research center. Her work focuses on cybersecurity, privacy-preserving technologies, and cloud computing security. She has contributed to numerous publications addressing topics such as federated learning fairness, 6G network security, blockchain-based auditing, and IoT privacy. Her research emphasizes practical solutions for data protection and secure communication in distributed systems. Education : Ph.D. in Cryptography and Security from the National Institute of Telecommunications (2014), with a thesis titled Cloud data storage security based on cryptographic mechanisms . Key Research Themes : Federated Learning : Developing frameworks like FADE to ensure fairness and privacy in decentralized machine learning. 6G Networks : Proposing zero-trust architectures and secure protocols for next-generation communication systems. Blockchain Applications : Designing BDUA and other systems for transparent data usage auditing. Privacy-Preserving Protocols : Innovations like PIMA and SPOT for identity management and e-healthcare systems. Recent Contributions : Over 30 peer-reviewed articles since 2013, including work on intrusion detection systems, homomorphic proofs for data integrity, and secure cloud storage mechanisms. Her 2025 papers address cutting-edge challenges in federated learning fairness and AI-driven anomaly detection.

• Lattice-Based Cryptography
• Post-Quantum Cryptography
• Homomorphic Encryption
• +3 more

Ron Steinfeld is an Associate Professor at Monash University's Faculty of Information Technology, where he leads research in cryptography and cybersecurity. His work focuses on lattice-based cryptography, post-quantum algorithms, and secure multiparty computation. Dr. Steinfeld has made significant contributions to NIST's post-quantum cryptography standardization process through his Titanium proposal. Recent research includes efficient discrete Gaussian samplers (FACCT, COSAC), zero-knowledge proof optimizations, and blockchain security protocols. He received the Best Paper Award at ASIACRYPT 2015 for improved security proof techniques using Renyi divergence. Dr. Steinfeld serves on program committees for major cryptography conferences including CRYPTO and ASIACRYPT. His laboratory develops practical cryptographic solutions for quantum-resistant systems, with applications in secure communications and privacy-preserving protocols. Professional activities include coordinating Monash's Cybersecurity Reading Group and collaborating with international research teams.

Damien StehléView profile

Associate Professor

• Cryptography
• Post-Quantum Cryptography
• Algorithmic Aspects of Lattices
• +3 more

Damien Stehlé is an Associate Professor at Télécom Paris and Scientific Director of CryptoLab, a Seoul-based startup focusing on homomorphic encryption and confidential machine learning. He holds a PhD from Université Nancy 1 (2005) and previously served as a CNRS researcher and Professor of Computer Science at École Normale Supérieure de Lyon (2012–2023). Research Focus: His work centers on algorithmic aspects of Euclidean lattices and their cryptographic applications. Notably, he co-authored the Kyber encryption and Dilithium signature schemes, which were adopted by NIST as post-quantum cryptography standards. Affiliations: Research Team: Cybersecurity and Cryptography (C²) Laboratory: Information Processing and Communication Laboratory (LTCI) Current Projects: Advances in lattice-based cryptography, homomorphic encryption applications, and post-quantum security protocols.