Find Academic Supervisors

Stephen HuangView profile

Professor

• Cybersecurity
• Intrusion Detection
• Data Science
• +3 more

Stephen Huang is Professor of Computer Science at the University of Houston's College of Natural Sciences and Mathematics. He directs the Center for Cybersecurity Research and has held administrative roles including Department Chairman and Director of Graduate Studies. He received his PhD in Computer Science from the University of Texas-Austin and served as National Research Council-NASA Senior Research Associate at NASA Goddard Space Flight Center. His 40+ year career encompasses cybersecurity research, algorithm design, and academic leadership. Research focuses on intrusion detection systems, malware analysis, network security, and applied algorithms. His work integrates machine learning with security applications, particularly in anomaly detection and behavioral analysis. Recent projects include NSA-funded research on automated intrusion detection through metadata traffic analysis. Publications demonstrate progression from foundational algorithms to advanced AI applications in security. Recent articles focus on VPN detection, Android malware analysis, and large language model interpretability, consistently applying computational theory to cybersecurity challenges. He leads the GAANN Fellowship Program in Cybersecurity and Research Experience for Undergraduates (REU) initiatives. His laboratory develops practical security solutions through collaborations with government agencies and industry partners.

Charalampos AnastasiouView profile

Professor

• Theoretical Particle Physics
• Quantum Field Theory
• Particle Phenomenology
• +3 more

Charalampos Anastasiou is a Full Professor of Theoretical Particle Physics at ETH Zurich's Department of Physics. He leads research in quantum field theory and its applications to particle physics phenomenology, particularly in predicting Higgs boson signals at the Large Hadron Collider (LHC). His work includes developing mathematical methods for Feynman diagrams and precision calculations for collider experiments. He has held academic positions at ETH Zurich since 2007, including Associate Professor (2010–2013) and Full Professor (2013–present). His career includes research roles at CERN and Stanford Linear Accelerator Center. Education: Ph.D. in Particle Theory, Durham University, UK (2001) Research Interests: Anastasiou's research focuses on advancing theoretical frameworks for particle physics, with emphasis on perturbative quantum field theory, collider phenomenology, and precision calculations for Higgs boson interactions. His work bridges mathematical rigor and experimental validation, contributing to the understanding of fundamental forces and particle interactions. Publications: His recent publications span superconducting magnet design for future colliders, quantum-resistant cryptographic methods, and material science studies. These reflect his interdisciplinary approach to addressing challenges in high-energy physics and technology. Awards & Grants: ERC Advanced Grant: PertQCD (2016) ERC Advanced Grant: IterQCD (2010) University Latsis Prize (2009) Advising & Labs: Anastasiou collaborates on projects like the Muon Collider and LHC upgrades. His lab develops novel superconducting magnet technologies and computational tools for high-energy physics experiments. He actively contributes to international initiatives like the Future Circular Collider (FCC) and European Strategy for Particle Physics.

Antonios MichalasView profile

Professor

• Applied Cryptography
• Privacy Enhancing Technologies
• Privacy-Preserving Machine Learning
• +7 more

Antonios Michalas is a Professor at Tampere University's Department of Computing Sciences, leading the Network and Information Security group (NISEC). His expertise spans Applied Cryptography, Privacy-Preserving Technologies, and Cyber Security. He holds a PhD from Aalborg University and has held roles from Assistant Professor to Professor at institutions including Tampere University, University of Westminster, and RISE Sweden. His research focuses on securing communication protocols, privacy in machine learning, and blockchain fairness. He actively contributes to projects like PiQASO (Post-Quantum Cryptography transition) and HARPOCRATES (privacy in health data). Education: PhD in Provable Security and Privacy (Aalborg University, 2013), MSc in Information Technology & Telecommunications (Athens Information Technology, 2007), BSc in Theoretical Mathematics (University of Crete, 2006). Research Interests: Developing cryptographic schemes for encrypted data operations, privacy-preserving machine learning, blockchain fairness, and secure IoT systems. Recent work includes privacy-preserving video classification, hybrid homomorphic encryption, and mitigating attacks in split learning. Grants/Projects: Leads PiQASO (Digital Europe), FACILITATE (EU), and ASCLEPIOS (EU health data security). Published over 50 peer-reviewed papers, with a focus on functional encryption, secure protocols, and privacy-preserving analytics. Teaches security and cryptography courses, emphasizing practical programming assignments and theoretical security analysis. Labs/Teams: NISEC group conducts cutting-edge research in cryptography and security, with activities spanning theoretical foundations to real-world implementations. Collaborates internationally on projects addressing post-quantum cryptography, cloud security, and privacy in health systems.

Duong Hieu PhanView profile

Professor

• Cryptography
• Provable Security
• Public-Key Encryption
• +7 more

Duong Hieu Phan is a Professor at Télécom Paris (Institut Polytechnique de Paris) since 2020, leading the Cybersecurity and Cryptography (C²) research team within the Laboratoire Traitement et Communication de l'Information (LTCI). Previously, he held academic positions at University of Limoges (2015–2020) and University of Paris 8-13 (2007–2015). He obtained his Ph.D. in Cryptography from École Normale Supérieure under David Pointcheval, followed by postdoctoral research at University College London and a research engineer role at France Telecom R&D. His research focuses on provable security for cryptographic schemes, including public-key encryption, digital signatures, broadcast encryption, traitor tracing, functional encryption, and privacy-preserving systems. Notable contributions include foundational work on anamorphic cryptography, multi-client functional encryption, and zero-knowledge proofs of quantumness. Dr. Phan has served in leadership roles such as General Co-Chair of ASIACRYPT 2016 and membership in the ASIACRYPT Steering Committee since 2013. He actively participates in international conferences as a program committee member and has contributed to initiatives like the CNRS LIA ForMath Vietnam-Singapore. His publications span over 70 works in top-tier venues like CRYPTO, EUROCRYPT, ASIACRYPT, and IACR journals, emphasizing theoretical advancements and practical security solutions. His recent work explores quantum-resistant cryptography, privacy-preserving protocols, and decentralized systems.

Abraham WesterbaanView profile

Lecturer

• Category Theory
• Von Neumann Algebras
• Operator Algebras
• +4 more

Dr. Abraham Westerbaan is a Lecturer at Radboud University's ICIS (Digital Security Department) and a Scientific Programmer at Radboud's iHub. He earned his Ph.D. in 2019 under the supervision of Bart Jacobs, defending a thesis titled *The Category of Von Neumann Algebras*, which explores foundational aspects of operator algebras and category theory. His research spans quantum computing, mathematical logic, and cryptographic systems, with notable contributions to quantum programming languages and mathematical structures in theoretical physics. Westerbaan's work integrates advanced algebraic concepts with computational security, reflecting his dual role in academic research and applied scientific programming. His publications emphasize categorical frameworks for quantum mechanics, operational quantum logic, and cryptographic protocols for network privacy. He maintains an active GitHub repository documenting his thesis and related projects, showcasing collaborations in operator algebra theory and computational mathematics. While no specific grants or awards are explicitly listed, his extensive publication record and academic roles indicate sustained engagement with cutting-edge research in theoretical computer science and mathematical physics. His affiliations with ICIS and the iHub highlight a commitment to both foundational inquiry and applied technological development.

• Cybersecurity
• IoT Security
• Threat Intelligence Sharing
• +4 more

Dr. Nick Pitropakis is an Associate Professor at the School of Computing Engineering and the Built Environment (Edinburgh Napier University). He actively contributes to cybersecurity research through 39 publications, focusing on threat intelligence sharing , cloud security , IoT security , and privacy-preserving technologies . CyberHunt - Automated Threat Hunting for Critical Infrastructures (Funder: Norway RC) TRUST Platform - Crossborder Data Federation (Funder: UKRI) AI-based Biometric Authentication (Funder: Data Lab) His research combines graph theory for attack path analysis and blockchain for secure threat intelligence sharing. Key publication areas include: LLMs in threat hunting Chaotic encryption schemes Adversarial machine learning Distributed ledger applications Scientific contributions span 19 journal articles, 15 conference proceedings, and 2 book chapters. Collaborates with Prof Bill Buchanan and Dr Pavlos Papadopoulos on cybersecurity standardization and trusted computing .

• Privacy-Preserving Machine Learning
• Reinforcement Learning
• Data Privacy and Security
• +5 more

Associate Professor Kee Siong Ng is affiliated with the School of Computing at the Australian National University (ANU). His research focuses on privacy-preserving technologies, reinforcement learning, distributed systems, and blockchain applications. He has contributed extensively to areas such as privacy-preserving machine learning, federated learning, entity resolution, and scalable database systems. His work emphasizes balancing computational efficiency with privacy guarantees in data-driven environments. Key research contributions include methodologies for secure data processing in federated learning frameworks, privacy-preserving reinforcement learning for population-level systems, and blockchain-based digital identity solutions. He has led projects like Integrated Graph Analytics and contributed to initiatives involving the Australian Medicare dataset. His research often intersects theoretical foundations with practical implementations, addressing challenges in scalability and real-world applicability. Ng has published over 24 peer-reviewed articles, with notable works appearing in venues like IEEE Transactions on Parallel and Distributed Systems and Transactions on Machine Learning Research . His articles frequently explore cutting-edge topics such as differential privacy, approximation algorithms, and multi-agent systems. Collaborations include industry partnerships and interdisciplinary efforts involving health informatics and financial intelligence. His projects include Integrated Graph Analytics (2018–2021): Focused on scalable graph-based data analysis. Translational Fellowship (2018–2022): Bridging theoretical research with practical applications. Research on Data Sets for Health and Pharmaceutical Schemes (2020): Analyzing Medicare and pharmaceutical data with privacy safeguards. Ng's work prioritizes ethical AI and privacy-by-design principles, with a focus on real-world deployment challenges in distributed and federated systems.

Panagiotis PapadimitratosView profile

Professor

• Network Security
• Cybersecurity
• Computer Networks
• +3 more

Panagiotis Papadimitratos is a Professor at KTH Royal Institute of Technology, leading the Networked Systems Security (NSS) group. His research focuses on secure networked systems, addressing security and privacy challenges in vehicular communications, mobile ad hoc networks (MANETs), and wireless systems through a blend of theoretical methods and practical implementation. Role: Professor | Division: Software and Computer Systems | Email: papadim@kth.se His work spans security architecture , formal protocol analysis , and information-theoretic security , with a systems-oriented approach emphasizing real-world evaluation. Key areas include VANETs , MANETs , and trust establishment in dynamic networks. Recent publications highlight scalable secure routing (e.g., Castor protocol), vehicular network authentication , and malicious node containment in adversarial environments. These works integrate cryptographic techniques, distributed decision-making, and robustness analysis across diverse network topologies. He teaches advanced courses on networked systems security (EP2500, EP2510, EP2520) and supervises degree projects in cybersecurity, embedded systems, and communication networks. The NSS group actively engages in research and education, offering summer schools like CySeP. The group maintains a strong systems character while incorporating theoretical rigor, with collaborations spanning institutions like École Polytechnique Fédérale de Lausanne and Cornell University. Tools like TraNS (joint traffic-network simulator) exemplify this dual focus on simulation and real-world deployment.

• Cryptography
• Hardware Security
• High-Performance Computing
• +3 more

Tan Tuy Nguyen serves as an Assistant Professor in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University, where his research bridges theoretical cryptography with practical hardware and software implementations. His work focuses on developing secure, high-performance computing systems for real-world applications across multiple domains. Dr. Nguyen's research program centers on five interconnected pillars: Post-Quantum Cryptography : Advancing lattice-based schemes like CRYSTALS-Dilithium and Kyber to counter quantum computing threats Hardware Acceleration : Optimizing cryptographic operations through GPU architectures and specialized hardware designs Homomorphic Encryption Systems : Enabling computation on encrypted data through CKKS scheme optimizations Medical Security Applications : Integrating cryptography with deep learning for privacy-preserving diagnostic systems Audio Processing Security : Combining neural networks with encryption for secure audio transmission and storage Analysis of his 2024-2025 publications reveals a strategic shift toward deployable cryptographic solutions, with 80% of recent work addressing performance bottlenecks in post-quantum algorithms. His research demonstrates particular innovation in GPU-accelerated cryptography (40% of recent output) and cross-domain applications to healthcare and audio processing (30% combined), establishing him as a key contributor to practical secure computing systems.

Christopher EagleView profile

Academic

• Model Theory
• Functional Analysis
• Real-Valued Logics
• +3 more

Christopher Eagle is an Associate Teaching Professor in the Department of Mathematics and Statistics at the University of Victoria, Canada. He holds a Ph.D. in Mathematics from the University of Toronto (2015), with prior degrees including an M.Math. in Pure Mathematics (University of Waterloo, 2010), an M.Litt. in Philosophy (University of St. Andrews, 2008), and a B.Math. in Pure Mathematics (University of Waterloo, 2007). His research focuses on mathematical logic and its applications, particularly model theory and its interactions with functional analysis, topology, and infinitary logics. Key areas include real-valued logics, applications to C*-algebras, and the development of pure model theory. He also explores mathematics education, emphasizing the role of language and writing in teaching and learning. Eagle has taught a wide range of courses at UVic, including matrix algebra, real analysis, mathematical logic, topology, and directed studies in model theory and set theory. His teaching roles have included coordinating multi-section courses such as Matrix Algebra for Engineers and Calculus. His publications span model theory, functional analysis, and topology, with contributions to journals like the Annals of Pure and Applied Logic, Journal of Functional Analysis, and Topology and its Applications. Recent work includes studies on computable K-theory for C*-algebras, topological principality in groupoid C*-algebras, and applications of topology to model theory. Eagle’s academic trajectory includes postdoctoral research at the University of Toronto at Mississauga (2015) and prior teaching roles as an Assistant Teaching Professor at UVic (2016–2023). He actively engages in interdisciplinary research, bridging logic, algebra, and topology.

Gregor LeanderView profile

Professor

• Cryptography
• Cyber Security
• Symmetric Key Cryptography
• +4 more

Prof. Dr. Gregor Leander is a Professor and Chair of Symmetric Cryptography at the Faculty of Computer Science, Ruhr University Bochum, and a member of the Horst Görtz Institute for IT Security. He serves as a Principle Investigator in the Cluster of Excellence CASA ('Cyber Security in the Age of Large-Scale Adversaries') and as Dean of its Graduate School. His research focuses on designing provably secure cryptographic algorithms, including ISO-certified encryption schemes like Present and Skinny. Education: Bachelor's/Master's in Mathematics, University of Bremen Doctorate in Mathematics, Ruhr University Bochum (2004) Research Interests: Leander specializes in symmetric cryptography, emphasizing theoretical security foundations over empirical methods. His work addresses encryption algorithm design, cryptographic protocol standards, and large-scale cyber threat mitigation through initiatives like CASA. Awards & Grants: ERC Advanced Grant 2023 Two Best Paper Awards 2010 German IT Security Award Heisenberg Professorship (DFG, 2015) Labs & Teams: Active in the Horst Görtz Institute and CASA cluster, collaborating on cutting-edge cybersecurity research and protocol development.

Somindu Chaya RamannaView profile

Assistant Professor

• Cryptography
• Cryptographic Protocols
• Algorithmic Game Theory
• +3 more

Somindu Chaya Ramanna is an Assistant Professor in the Department of Computer Science and Engineering at IIT Kharagpur. Previously, he held a postdoctoral position at ENS de Lyon (2015–2016) and served as an assistant professor on contract at IIT Bhubaneswar. His research focuses on cryptography, computational number theory, and algorithmic game theory. He completed his Ph.D. at the Indian Statistical Institute under Prof. Palash Sarkar. Education: Ph.D. in Cryptography, Indian Statistical Institute, Kolkata (Advisor: Prof. Palash Sarkar) Postdoc at ENS de Lyon, France (2015–2016) Research Interests: Design and analysis of cryptographic primitives Functional encryption schemes Algorithmic game theory applications Computational number theory algorithms Efficient cryptographic protocols Teaching & Courses: Algorithmic Game Theory (CS60025) Foundations of Cryptography (CS60088) Computational Number Theory (CS60094) Randomised Algorithm Design (CS60029)

Elizabeth QuagliaView profile

Associate Professor

• Cryptography
• Cybersecurity
• Digital Activism
• +3 more

Elizabeth Quaglia is an Associate Professor (Reader) in the Department of Information Security at Royal Holloway, University of London. Her research focuses on advancing cryptographic protocols and addressing cybersecurity challenges in digital activism and education. She has organized major events such as the London Crypto Day 2024 and served as an editor for the Journal of Information Security and Applications . Education & Background: No explicit educational details provided in the text. Inferred expertise from her roles and publications. Research Interests: Elizabeth's work emphasizes secure protocols, privacy-preserving technologies, and bridging cybersecurity with societal needs. She explores practical applications like timed-release encryption and certificateless systems while advocating for cybersecurity education tailored to activists and vulnerable populations. Grants & Projects: Lead investigator on projects such as Cybersecurity for Changemakers (2022–2023), Learning Together: Cybersecurity for Toddlers (2021), and the Leverhulme Magna Carta Doctoral Studentship (2018–2021). Partnered with institutions like the National Cyber Security Centre and the Arts & Humanities Research Council. Labs & Teams: Collaborated on interdisciplinary projects like StoryFutures (2018–2021), focusing on immersive technologies and cybersecurity implications.

• Computer Science
• Software Engineering
• Access Control
• +3 more

Ning Shen is a researcher in computer science with a focus on security and testing methodologies. Their work spans access control policies, database encryption, and automated testing techniques. Research Interests: XACML policy testing and analysis Order-preserving encryption for databases Automated and mutation testing Formal verification of security protocols

Marten van DijkView profile

Professor

• Computer Security
• Cryptography
• Secure Processor Design
• +7 more

Dr. Marten van Dijk is a Full Professor in the Computer Security department at Vrije Universiteit Amsterdam (VU) since 2022 and a Group Leader for Computer Security at CWI since 2020. He also holds a Gratis Full Research Professor position at the University of Connecticut's ECE Department since 2020. Previously, he served as Associate and Full Professor at the University of Connecticut and held research roles at MIT CSAIL, RSA Laboratories, and Philips Research. PhD in Mathematics (1997, Eindhoven University of Technology) M.S. in Mathematics (Cum Laude, 1993) M.S. in Computer Science (Cum Laude, 1991) His research focuses on foundational computer security problems using cryptographic principles, including secure processor design, oblivious computation, and privacy-preserving machine learning. Notable contributions span Physical Unclonable Functions (PUFs), Aegis secure processor architecture, and oblivious RAM protocols. 15+ publications in 2023-2025 address topics like PUF cryptanalysis, differential privacy in federated learning, and Byzantine fault tolerance Key journals: IEEE Transactions on Computers, Journal of Cryptology, ACM CCS Conference Award highlights include: IEEE Fellow (2022) for secure processor design and encrypted computation IEEE Technical Achievement Award (2023) Intel Test of Time Award (2022) ACM CCS Best Paper (2013) A. Richard Newton Technical Impact Award (2015) His technical leadership spans hardware security (blu-ray error correction codes), cryptographic protocol design, and machine learning privacy frameworks. Current projects focus on secure processors with hardware-enforced isolation and differential privacy optimization.