Find Academic Supervisors

• Cryptographic Voting Systems
• Key Exchange Protocols
• Cloud Cryptography
• +3 more

Kristian Gjøsteen is a Professor at the Department of Mathematical Sciences within the Norwegian University of Science and Technology (NTNU) . He actively contributes to the Algebra Group and specializes in cryptographic systems with a focus on electronic voting , security proofs , and privacy-enhancing technologies . Educational Background: MSc and PhD from NTNU Research Interests: His work spans cryptography , key exchange protocols , cloud security , and formal verification of security mechanisms. Particular emphasis is placed on coercion-resistant voting systems , lattice-based encryption , and blockchain privacy models . Article Trends: Recent publications demonstrate expertise in post-quantum cryptography , machine-checked security , and privacy-preserving voting architectures . Collaborative efforts explore hybrid cryptographic schemes , verifiable decryption , and mix-net implementations for secure elections.

Tor-Morten GrønliView profile

Professor

• Internet of Things (IoT)
• Software Architecture
• Machine Learning
• +4 more

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

Audun JøsangView profile

Professor

• Cybersecurity
• Artificial Intelligence
• Trust and Reputation Systems
• +4 more

Audun Jøsang is a Professor of Cybersecurity at the University of Oslo and holds a Visiting Professor position at Queensland University of Technology (QUT) . His work focuses on trust and reputation systems in digital environments, with notable contributions to subjective logic —a mathematical framework for reasoning under uncertainty. Education : MSc in Information Security from Royal Holloway, University of London , MSc and PhD in Telecommunications from Norwegian University of Science and Technology (NTNU) Books : Subjective Logic: A Formalism for Reasoning Under Uncertainty (2016), Cybersecurity: Technology and Governance (2011) His research spans cybersecurity , artificial intelligence , and risk assessment , with applications in online marketplaces , social media , and decision-making under uncertainty . He has developed mathematical models for uncertainty-aware influence propagation and competitive information spread using subjective logic. Audun Jøsang’s work bridges theoretical foundations and industrial applications of computational trust and security analytics . His recent publications explore ethical AI , fair federated learning , and dynamic intelligence assessment for artificial general intelligence development.

Roman VitenbergView profile

Professor

• Distributed Systems
• Blockchain Technology
• Privacy-Preserving Systems
• +6 more

Roman Vitenberg is a Professor at the Department of Informatics, University of Oslo. His research focuses on distributed systems, blockchain, privacy, and middleware. He leads the Blockchain Lab, which runs Norway's production node in the EBSI network. Key contributions include work on fault-tolerant overlays, privacy-preserving frameworks for genomic data, and blockchain applications in healthcare. He teaches courses on distributed systems and blockchain technologies. Education: Ph.D. from Technion (Israel Institute of Technology), M.Sc. from Hebrew University of Jerusalem. Previous roles include postdoc at UC Santa Barbara and researcher at IBM. Research Interests: Distributed algorithms, blockchain systems, cloud/fog computing, dependability, and privacy-preserving techniques. Awards: Best Demo Award at ACM DEBS 2014, Best Paper Award at ACM DEBS 2016, Most Influential Paper Award (2007 paper recognized in 2017). Grants & Projects: PriTEM (privacy-preserving energy management), Conserns, Credence, and EBSI-NE (operating Norway's EBSI node). Advising: Supervised over 10 PhD and master students, including notable alumni at Spotify and Max-Planck Institute. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions, ACM conferences, and blockchain-focused journals.

• Cryptography
• Public-key Cryptography
• Zero-knowledge Proof Systems
• +5 more

Jiaxin Pan is a Professor at the University of Kassel, Germany, and holds a part-time Associate Professor position at the Norwegian University of Science and Technology (NTNU) under the Department of Mathematical Sciences. His research focuses on cryptography, including cryptographic systems with mathematically sound proofs, identity-based encryption, zero-knowledge proof systems, and lattice-based cryptography. He obtained his PhD from Ruhr-Universität Bochum and was a postdoc at the Karlsruhe Institute of Technology. **Education & Career**: PhD in Cryptography from Ruhr-Universität Bochum (2016), Postdoctoral Researcher at KIT (2016–2021), Associate Professor at NTNU (prior to moving to Kassel). Current roles include Program Committee member for top conferences like CRYPTO, Eurocrypt, and Asiacrypt. **Research Interests**: Tight security proofs, cryptographic protocols, quantum-resistant lattice-based systems, and privacy-preserving technologies like attribute-based encryption and zero-knowledge proofs. His work emphasizes bridging theoretical foundations and practical applications in cryptography. **Grants & Awards**: NTNU Outstanding Academic Fellows Programme (Career Development Award, 2022–2026) Young Research Talent Project (FRIPRO, 2021–2026) Peder Sather Grant (joint with Sanjam Garg, 2021–2023) **Professional Activities**: Program Committee roles for CRYPTO, Eurocrypt, Asiacrypt, and others. Editor for IACR Communications in Cryptology (2025). Reviewer for leading journals and conferences including STOC, TCC, and the Journal of Cryptology.

Anamaria CostacheView profile

Associate Professor

• Fully Homomorphic Encryption
• Privacy-Preserving Machine Learning
• Lattice-Based Cryptography
• +3 more

Anamaria Costache is an Associate Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Information Security and Communication Technology. Previously, she held roles including a postdoc at Royal Holloway, University of London (RHUL), a Research Scientist at Intel AI Research, and a part-time position at Intel. She earned her PhD from the University of Bristol and undergraduate/master's degrees from the University of Warwick, focusing on number theory and algebraic structures like Brauer Groups. Her research interests center on fully homomorphic encryption (FHE), privacy-preserving machine learning, lattice-based cryptography, and post-quantum security protocols. Her work is supported by Intel, addressing challenges in secure computation on encrypted data. She has authored numerous publications in top venues like CRYPTO, PKC, and IEEE conferences, focusing on FHE optimizations, biometric systems, and cryptographic security analyses. Teaching includes courses on applied cryptography, network security, and quantum-safe encryption at NTNU. She co-chairs NIKT 2019 and the WAHC workshops (2022–2024), and serves on editorial boards for journals like IACR Communications in Cryptology. She actively participates in program committees for conferences such as MathCrypt and FHE.org. Professional service includes the Lattigo Advisory Committee and contributions to the Bristol Crypto Blog. Her current projects emphasize verifiable computation over encrypted data and resilient authentication mechanisms in biometric systems.

• Lattice-based Cryptography
• Homomorphic Encryption
• Privacy-Preserving Protocols
• +3 more

Jeongeun Park is an Associate Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU). Her research focuses on lattice-based cryptography, homomorphic encryption, and privacy-preserving protocols, with a particular emphasis on fully homomorphic encryption (FHE) and its applications. She holds a PhD in Mathematics from Ewha Womans University (2021) and was a postdoctoral researcher at KU Leuven (2021–2024). Her educational background includes a BSc in Mathematics (2015) and a combined master-doctoral degree in Cryptology (2021), both from Ewha Womans University. Research interests span theoretical and practical advancements in cryptography, including FHE algorithms, privacy-preserving machine learning, and secure multiparty computation. She has contributed to foundational work on NTRU-based FHE, oblivious RAM, and privacy-preserving protocols like Pancea and SortingHat. Key awards include the 2017 Crypto Contest Special Award and NRF-funded research grants. Her work has been published in top venues such as Asiacrypt, SCN, and IEEE Transactions. She actively participates in academic governance, serving on program committees for PETS 2026, ISC 2025, and others, and reviews for major conferences and journals.

• Artificial Intelligence Security
• Adversarial Machine Learning
• Large Language Models
• +3 more

Ryan Anthony Marinelli is a Doctoral Research Fellow at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, specializing in digital security with a focus on AI-cybersecurity intersections. His work addresses critical vulnerabilities in emerging technologies while contributing to institutional research objectives in secure computing. Marinelli's research spans AI Security , Adversarial Machine Learning , and Responsible AI Development , examining prompt injection attacks, knowledge leakage in large language models, and cryptographic deployment challenges. His methodology integrates causal tracing , reinforcement learning , and chain-of-thought analysis to develop detection frameworks and optimization strategies for real-world security applications. Analysis of his 2023-2025 publications reveals concentrated expertise in LLM security assessment, with recurring themes of societal risk mitigation and ethical AI development. His work demonstrates technical depth in homomorphic encryption optimization and password leakage evaluation, while maintaining strong connections to practical cybersecurity implementations through IEEE conference contributions and arXiv preprints. As part of UiO's Department of Informatics research ecosystem, Marinelli collaborates across multidisciplinary teams including cybersecurity specialists and AI researchers. His affiliation with the Faculty of Mathematics and Natural Sciences positions him within Norway's leading hub for digital security innovation, though specific laboratory structures aren't detailed in the source material.

• Cryptography
• Public-key Cryptography
• Theoretical Computer Science
• +7 more

Jiaxin Pan is a Professor at the University of Kassel (Germany) and an Associate Professor (førsteamanuensis, part-time) at the Norwegian University of Science and Technology (NTNU). He is affiliated with the Algebra Group at NTNU and has previously worked as a postdoctoral researcher at Karlsruhe Institute of Technology (KIT) and the University of Kassel. Pan earned his PhD from Ruhr-Universität Bochum (Germany) in 2016. Research Interests Tight security proofs in cryptography Lattice-based cryptosystems Identity-based encryption Zero-knowledge proof systems Structure-preserving signatures Fine-grained cryptography Research Trends and Publications His work focuses on enhancing cryptographic security reductions and designing efficient protocols for post-quantum environments. Key areas include key exchange mechanisms, attribute-based encryption, and signature schemes with tight security guarantees. Pan's papers are published in top-tier venues such as Journal of Cryptology, CRYPTO, and Eurocrypt. Grants and Projects NTNU Outstanding Academic Fellows Programme (2022–2026) Young Research Talent project (2021–2025), Research Council of Norway Peder Sather Grant (2021–2023), with Sanjam Garg (UC Berkeley) Professional Activities Pan serves on program committees for IACR Eurocrypt, Asiacrypt, PKC, CT-RSA, and ESORICS. He is a reviewer for journals and conferences like ACM Transactions on Algorithms, Journal of Cryptology, and DFG grants.

Tjerand SildeView profile

Associate Professor

• Lattice-Based Cryptography
• Zero-Knowledge Protocols
• Post-Quantum Cryptography
• +9 more

Tjerand Silde is an Associate Professor in Cryptology at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). He serves as Research Group Leader of the NTNU Applied Cryptology Lab and as Security and Cryptography Expert at Pone Biometrics . His academic journey includes a PhD thesis titled Privacy-Preserving Cryptography from Zero-Knowledge Proofs (2022). Primary affiliation: NTNU (Department of Information Security and Communication Technology) Secondary affiliation: NTNU Department of Mathematical Sciences Industry role: Security and Cryptography Expert at Pone Biometrics His research focuses on lattice-based cryptography and zero-knowledge protocols , with broader interests in post-quantum cryptography , anonymous communication , multiparty computation , homomorphic encryption , electronic voting , and secure implementation . The research demonstrates trends in advancing lattice-based cryptographic solutions for real-world applications, particularly in authentication, e-voting, and secure communication. Notable scientific achievements include receiving a 765K NOK equipment grant from the IE Faculty - Research (2025) to establish the CRYPTO-LAB for cryptographic research and education. He has held leadership roles as General Chair for IACR PKC 2025 and coordinates the Cryptographic Engineering profile in NTNU's master's program. His teaching portfolio includes courses like TTM4205 Secure Cryptographic Implementations , IIK8105 Quantum-Secure Cryptography , and TM8107 Cryptographic Protocols and Applications . He actively supports Electronic Frontier Foundation , Tor Project , and Signal Foundation .

Chunlei LiView profile

Professor

• Cryptography
• Coding Theory
• Wireless Communications
• +4 more

Chunlei Li is a Professor in the Department of Informatics at the University of Bergen, specializing in Coding Theory and Cryptography. His research focuses on signal design, error-correcting codes, cryptographic primitives, and blockchain technology. He holds a PhD from the University of Bergen (2014) and has held postdoctoral positions at the University of Stavanger and the Selmer Center. He teaches courses in algebraic coding, cybersecurity, and cryptography. His research spans waveform design for wireless communications, feedback shift register sequences, rank metric codes, homomorphic encryption, and discrete mathematics. He leads projects such as 'Sequences and Their Applications' and contributes to conferences like SETA and NISK. Supervised students include those in symmetric cryptography, sequence design, and code-based cryptography. His work emphasizes cryptographic strength, with contributions to APN functions, permutation polynomials, and decoding algorithms for rank metric codes. He has authored numerous papers on topics like differential properties of functions and blockchain-based security systems.

Tor-Morten GrønliView profile

Associate Professor

• Internet of Things
• Machine Learning
• Software Architecture
• +4 more

Tor-Morten Grønli serves as Associate Professor in Digital Innovation at the University of Oslo's Department of Informatics (IFI), holding a PhD in Computer Science from Brunel University, London. His research bridges theoretical computer science with practical applications in intelligent systems. Specializing in Internet of Things, machine learning, and software architecture , his work demonstrates particular expertise in transport systems and healthcare applications. Recent publications reveal a strong focus on blockchain integration, federated learning for edge networks, and mobile sensor applications - with notable contributions to public transport optimization and medical IoT security. His 15 most recent articles (2023-2025) show consistent publication in high-impact venues including IEEE Transactions and Springer conference proceedings, with recurring themes of secure distributed systems and intelligent transport solutions . Collaborations span international institutions with frequent co-authorship patterns indicating stable research partnerships. Contact information is maintained through the university's standard email format ( tormor@ifi.uio.no ), reflecting active institutional affiliation. No specific research grants or laboratory facilities are detailed in the provided materials, though the publication record suggests ongoing funded research activity.

• Computer Graphics
• Geosciences Visualization
• Virtual Reality Applications
• +3 more

Assoc. Prof Daniel Patel holds a position in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences (HVL). His research focuses on interdisciplinary applications of computer graphics and visualization techniques in geosciences, VR training systems, and educational technology. Key areas include collaborative software for subsurface CO2 storage, seismic data interpretation, and vision-training serious games for children. His work bridges computer science with geology, energy systems, and marine biology, emphasizing real-time visualization algorithms and secure rendering methods. He has pioneered VR training systems for safety assessment and developed web-based 3D geology visualization tools using open standards like X3DOM. His research also extends to acoustic marine species identification and GPU-optimized rendering techniques. Notable contributions include advancements in homomorphic-encrypted volume rendering for secure visualization, multi-GPU processing with the Vulkan API, and sketch-based geological modeling tools. His projects often integrate modern hardware (e.g., VR headsets) with game engines to enhance training and educational outcomes.

• Cryptography
• Cryptographic Voting Systems
• Key Exchange Protocols
• +4 more

Kristian Gjøsteen is a Professor at the Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU). He holds a MSc and PhD from NTNU and is part of the Algebra Group. His research focuses on cryptographic systems, including voting protocols, key exchange mechanisms, cloud security, and formal verification of cryptographic proofs. Gjøsteen has contributed to Norwegian government projects on electronic voting (2009-2013) and electronic identification systems. He served on the Norwegian Government’s Committee on Digital Vulnerabilities (Lysne-utvalget). Research interests include cryptographic voting systems, key exchange protocols (with a focus on forward secrecy and tight security proofs), privacy-preserving technologies in blockchain and cloud environments, and formal methods for verifying security protocols. Notable work includes development of coercion-resistant voting systems, lattice-based cryptographic schemes for voting, and machine-checked proofs of accountability. Publications highlight advancements in secure voting systems, post-quantum cryptography, and protocols for constrained networks. Collaborations span international researchers in cryptography and security. His textbook Practical Mathematical Cryptography (2022) provides foundational insights into applied cryptographic techniques. Professional activities include advising on national cybersecurity initiatives and contributing to the design of secure electronic voting infrastructure. Current projects emphasize privacy-preserving blockchain systems and formal verification of cryptographic protocols.

• Quantum Computing
• Cybersecurity
• Artificial Intelligence
• +5 more

Athanasios Vasilakos is a Professor at the University of Agder's Department of Information and Communication Technology. His research focuses on cutting-edge ICT domains including quantum computing, cybersecurity, and distributed systems. He maintains an extensive publication record with recent works concentrated in quantum machine learning, blockchain applications, and IoT security. Research interests span: Quantum computing architectures and cryptographic applications Secure federated learning frameworks for distributed networks AI-driven solutions for IoT and telecommunications systems Advanced cybersecurity techniques including steganalysis and homomorphic encryption Cross-domain applications in bioinformatics, smart grids, and autonomous vehicles Publication analysis reveals strong thematic focus on: security enhancements for emerging technologies (blockchain, quantum systems), privacy-preserving machine learning, and IoT optimization. Recent works demonstrate increasing attention to quantum-classical hybrid systems and their real-world implementations. Collaboration networks include extensive international partnerships across Europe and Asia, particularly in quantum computation, cybersecurity, and intelligent systems research.