Find Academic Supervisors

• 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.

Michele CiampiView profile

Research Fellow

• Cryptography
• Zero-Knowledge Proofs
• Multi-Party Computation
• +3 more

Michele Ciampi is a Chancellor's Fellow at the University of Edinburgh's School of Informatics, specifically within the Laboratory for Foundations of Computer Science. His research focuses on cryptographic theory, including zero-knowledge proofs, multi-party computation, and blockchain protocols. He holds a PhD in Computer Science from the University of Salerno (2018), where his thesis earned the Best PhD Thesis in Theoretical Computer Science Award (2018). Prior roles include a Visiting Graduate Researcher at UCLA (2016) and research associate at the University of Edinburgh's blockchain lab (2018–2021). Education: Bachelor's in Computer Science, University of Salerno (2012) Master's in Computer Science, University of Salerno (2014) PhD in Computer Science, University of Salerno (2018) Research interests emphasize theoretical foundations of secure computation, with a focus on cryptographic protocol design, blockchain scalability, and privacy-preserving technologies. His work bridges formal security models with practical implementations, often addressing round complexity and computational efficiency. Key contributions include agile cryptography frameworks, list oblivious transfer protocols, and non-malleable schemes. Recent projects include Inclusive Open Finance Passport (2023–2026) and multiple EPSRC-funded initiatives on privacy-preserving data linkage and digital identity systems. He has received grants totaling over £2M for research in decentralized finance and cryptographic infrastructure. Labs/Teams: Active in the Edinburgh Blockchain Technology Lab and collaborates internationally with institutions like UCLA and Aarhus University.

Rukshan AthaudaView profile

Senior Lecturer

• Cloud Computing
• Educational Technology
• Database Systems
• +3 more

Dr. Rukshan Athauda is a Senior Lecturer at the University of Newcastle, affiliated with the School of Information and Physical Sciences (Computing and Information Technology). He holds a PhD in Computer Science from Florida International University and has over 15 years of academic and industry experience. His roles include leadership positions such as Program Convenor for multiple degree programs and RHD Coordinator. Research Expertise: His work spans Database Systems, Educational Technology, Cloud Computing, and IT Security. Notable projects include frameworks for collaborative music post-production, virtual labs in education, and trust models in digital ecosystems. He has co-authored 75+ publications and attracted $741K in grants. Teaching: Currently teaches Systems and Network Administration and Cloud Computing. Previously developed courses in databases and IT systems at the University of Moratuwa and SLIIT in Sri Lanka. Professional Activities: Editorial board member of the International Journal of Computer and Information Technology. Keynote speaker at multiple conferences and recipient of awards for collaboration and teaching innovation. Grants & Supervision: Lead 19 grants, including projects on transport scheduling and learning analytics. Supervised 10+ PhD/Masters projects on topics like cybersecurity, learning frameworks, and fog-cloud environments.

Aloni CohenView profile

Assistant Professor

• Cryptography
• Privacy
• Law
• +3 more

Aloni Cohen is an Assistant Professor of Computer Science and Data Science at the University of Chicago. Previously, he served as a Postdoctoral Associate at Boston University, with a joint appointment at the Hariri Institute for Computing and the School of Law. He is also a former affiliate at the Berkman Klein Center for Internet & Society and a Fellow at the Aspen Tech Policy Hub. Aloni earned his PhD in Electrical Engineering and Computer Science from MIT, advised by Shafi Goldwasser, supported by a Facebook Fellowship and an NSF Graduate Student Research Fellowship. His research bridges theoretical cryptography, privacy, law, and policy, focusing on real-world applications like differential privacy, encryption, and legal frameworks such as GDPR and the Fifth Amendment. Key research themes include privacy-preserving data analysis, cryptographic watermarking, and ethical implications of AI. He explores tensions between cryptographic theory and legal regulations governing data privacy and surveillance. His recent publications address topics such as the societal impacts of differential privacy, legal challenges in compelled decryption, and policy questions around multiparty computation. Notable awards include the 2024 Outstanding Paper Award at the International Conference on Algorithmic Learning Theory and the 2022 Distinguished Paper Award at USENIX Security Symposium. Awards: 2024 Outstanding Paper Award, International Conference on Algorithmic Learning Theory 2022 Distinguished Paper Award, USENIX Security Symposium 2014 NSF Graduate Student Research Fellowship Aloni’s work involves interdisciplinary collaborations, addressing both technical and policy dimensions of modern computational challenges. Details on grants or specific advising roles are not explicitly listed in the provided texts.

• Bioinformatics
• Machine Learning
• Network Science
• +4 more

Anne Hartebrodt is a Postdoctoral Researcher at the Biomedical Network Science Lab in the Department of Artificial Intelligence in Biomedical Engineering at Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany. She has been working at FAU since March 2023, focusing on network-based embeddings and carbon-aware computing for bioinformatics following her PhD completion at the University of Southern Denmark. Her research spans multiple cutting-edge domains at the intersection of AI and biomedical science: Bioinformatics and computational biology with emphasis on network science Federated learning and privacy-preserving computation for biomedical applications Single-cell omics analysis and gene regulatory network inference Carbon-aware computing for sustainable bioinformatics research Machine learning applications in proteomics and cancer research Dr. Hartebrodt's publication record demonstrates expertise in developing computational methods that bridge theoretical machine learning with practical biomedical challenges, particularly in maintaining data privacy while enabling collaborative research across institutions. Her work on federated learning approaches has been published in high-impact journals including Nature Computational Science and Bioinformatics. Her research leadership includes: Principal investigator for the 'Dimensionality reduction for molecular data based on explanatory power of differential regulatory networks' project (NetMap) funded by the Bundesministerium für Forschung, Technologie und Raumfahrt (2023-2026) Development of FedProt for privacy-preserving protein analysis Creation of Decoil for reconstructing extrachromosomal DNA structures Advancements in federated singular value decomposition methods Dr. Hartebrodt actively supervises multiple graduate students working on gene regulatory networks, differential expression analysis, and carbon-aware optimization. Her laboratory work in the Biomedical Network Science Lab focuses on developing innovative approaches to analyze complex biological networks while addressing computational sustainability through carbon-aware computing methods.

Anwar HasanView profile

Professor

• Cryptography
• Post-Quantum Cryptography
• Secure Multiparty Computation
• +5 more

Anwar Hasan is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He specializes in cryptography, post-quantum cryptography, and secure computation, with a focus on algorithm optimization, cryptographic hardware implementation, and energy efficiency. His work spans theoretical foundations and applied systems, including blockchain technology, fault-tolerant cryptosystems, and secure multiparty computation. His research interests emphasize developing quantum-resistant cryptographic protocols, improving efficiency in cryptographic algorithms (e.g., EdDSA signature verification, CSIDH optimization), and designing secure systems against adversarial attacks (e.g., poisoning in federated learning, covert adversary models). He also explores energy consumption analysis of cryptographic algorithms, particularly in the context of NIST PQC standards and elliptic curve-based systems. Recent work includes contributions to threshold cryptography (isogeny-based schemes), decentralized oracle networks (CountChain), and privacy-preserving blockchain applications (AdChain). His publications frequently address hardware-software co-design for cryptographic primitives, emphasizing both theoretical advancements and practical implementation challenges. Dr. Hasan’s research also extends to applied areas such as fraud detection systems, digital rights management using blockchain, and energy efficiency in embedded cryptographic systems. He collaborates on projects involving secure communication in cloud computing and resilient key management for mobile applications.

Dominique SchröderView profile

Professor

• Privacy
• Distributed Trust
• Privacy-Preserving Technologies
• +7 more

Dominique Schröder is a Full Professor and Head of the Privacy Enhancing Technologies Research Unit at TU Wien. Previously, he held academic positions at Friedrich-Alexander University of Erlangen-Nuremberg and the University of Saarland. His research focuses on cryptography, privacy-preserving technologies, and decentralized systems. He obtained his Ph.D. from TU Darmstadt and his diploma from TU Braunschweig. Key research areas include privacy-preserving techniques, secure multiparty computation, cryptographic protocols, and low-entropy security. His work bridges theoretical cryptography with practical applications, particularly in blockchain, genomic data management, and decentralized systems. Education: Ph.D. in Cryptography, TU Darmstadt Diploma in Computer Science, TU Braunschweig Postdoc at University of Maryland (advisor: Jonathan Katz) Notable Contributions: Developed Group ORAM for privacy in outsourced records Advanced adaptor signatures and threshold cryptography Contributed to privacy-preserving genomic data systems like PROMISE His publications span top venues in cryptography (e.g., CRYPTO, EUROCRYPT) and address topics like secure computation resilience, functional credentials, and privacy metrics. He actively participates in academic committees and advises on privacy-enhancing technologies.

• Cryptography
• Quantum Cryptography
• Information Security
• +3 more

Josef Pieprzyk is an Honorary Professor at the School of Computing, Macquarie University. His research focuses on cryptography, quantum cryptography, and information security, with notable contributions to cryptanalysis, authentication protocols, and secret sharing schemes. Research Projects: Defence Against Phishing Attacks Private Multiparty Protocols via Graph Coloring Analysis of Cryptographic Hash Functions Multiparty Computation Protocols His work emphasizes quantum communication protocols, secure multiparty computation, and cryptographic resilience against modern attacks. Over 282 research outputs highlight his prolific contributions to theoretical and applied cryptography. Grants & Collaboration: Active in securing grants for projects such as quantum state secret sharing and cryptographic hash function analysis, reflecting his leadership in advancing secure communication technologies.

Ivan DamgårdView profile

Professor

• Cryptography
• Data Security
• Quantum Information
• +3 more

Ivan Damgård is a Professor at the Computer Science Department of Aarhus University. His research focuses on cryptography, data security, quantum information, and algorithms. He co-authored the book Information Theoretically Secure Multiparty Computation and Secret Sharing with Ronald Cramer and Jesper Buus Nielsen. He is head of the Cryptography Group at Aarhus University and co-founder of companies Cryptomathic and Partisia, specializing in data security and secure multiparty computation. He teaches courses such as Introductory Cryptography, Cryptologic Protocol Theory, and Quantum Information Processing. His work involves major research projects like CACE, CFEM, and ITSCI. He has contributed to debates on provable security in cryptography, including a position paper clarifying misunderstandings in the field. Outside academia, Damgård is an active folk musician, playing fiddle and guitar in multiple bands and releasing several albums.

• Network Transport Protocols
• Real-Time Multimedia
• Interactive Multimedia Systems
• +4 more

Dr Colin Perkins is a Senior Lecturer (Associate Professor) in Computing Science at the University of Glasgow, serving as Chair of the Internet Research Task Force (IRTF). He leads research in network transport protocols, focusing on real-time multimedia and protocol standardization. His work includes contributions to QUIC, post-Sockets APIs, and improving Internet protocol specifications. Education: BEng (Electronic Engineering, 1992) and PhD (1996) from the University of York's Department of Electronics. Research Interests: Transport protocols for real-time multimedia Network protocol design and implementation Standardization processes in IETF QUIC protocol implications Post-Sockets API development Professional Roles: Co-chair of the RTP Media Congestion Avoidance Techniques (RMCAT) IETF working group Past co-chair of Audio/Video Transport and Multiparty Multimedia Session Control groups Member of Glasgow Systems Section (GLASS) and Networked Systems Research Group Awards: Fellow of the Higher Education Academy Senior Member of IEEE Grants & Labs: Active in Scottish Networking Event (SCONE) initiatives and collaborative projects on network measurement, protocol analysis, and distributed systems.

Haewon JeongView profile

Assistant Professor

• Machine Learning
• Responsible AI
• Algorithmic Fairness
• +7 more

Haewon Jeong is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), with an affiliation to the Department of Computer Science. She is the Co-director of the REAL AI initiative and leads the Jeong Lab, focusing on trustworthy machine learning systems, responsible AI, and AI for scientific discovery. Her research bridges information theory, distributed computing, and machine learning, with a recent NSF CAREER Award and Hellman Fellowship recognition. Education: PhD in Electrical and Computer Engineering from Carnegie Mellon University (2020), BS in Electrical Engineering and Computer Science from KAIST (2015). Research Interests: The lab’s core themes include Responsible AI (fairness, privacy, bias mitigation), Reliable Computing (fault-tolerant algorithms for classical and quantum systems), and ML for Science (accelerating scientific discovery via AI, particularly in quantum materials and physics). Recent Trends in Articles: Recent work addresses bias in neural compression models, differential privacy in distributed systems, and fault-tolerant quantum computing algorithms. Publications span topics like generative models, privacy-preserving computation, and educational equity in AI. Awards: NSF Early CAREER Award (2024) 2024-2025 Hellman Fellowship Advising & Grants: Advises PhD/MS students in AI fairness, distributed computing, and quantum ML. Current grants include NSF CAREER funding for trustworthy ML systems. Lab members have presented work at ISIT, ICML, and SIAM conferences. Labs & Collaborations: The Jeong Lab collaborates across disciplines, with ties to UCSB’s quantum computing and materials science groups. The REAL AI initiative emphasizes ethical AI development and societal impact.

Haibing LuView profile

Professor

• AI Fairness and Governance
• Data Security & Privacy
• Big Data Analytics
• +4 more

Haibing Lu is a Professor and Department Co-Chair of Information Systems & Analytics at Santa Clara University's Leavey School of Business. He holds a Ph.D. in Information Technology from Rutgers University (2011), and B.S./M.S. in Mathematics from Xi'an Jiaotong University (2002/2005). His research focuses on AI fairness, data privacy, cybersecurity, and big data analytics, addressing real-world challenges in healthcare, transportation, and cloud computing. Education: Ph.D. in Information Technology, Rutgers University, 2011 M.S. in Mathematics, Xi'an Jiaotong University, 2005 B.S. in Mathematics, Xi'an Jiaotong University, 2002 Research interests include: AI governance and ethical frameworks Privacy-preserving technologies (e.g., differential privacy) Cybersecurity for IoT and smart grids Applications of machine learning in healthcare and transportation His work has been featured in prestigious journals like IEEE Transactions on Dependable and Secure Computing, ACM Transactions on MIS, and M&SOM, alongside media outlets such as The New York Times and WIRED. Key publications include studies on AI fairness in LLMs, privacy in cloud computing, and secure authentication protocols. Awards include: AACSB Innovations That Inspire Award (2021) M&SOM Best Paper Award Repeated SCU Leavey School Excellence Awards for Teaching/Research/Service Grants and funding sources include NSF, IBM, PARC, and industry partnerships like AKTANA and Ultimate Software. He advises on interdisciplinary projects involving data science, cybersecurity, and sustainable energy systems. Labs/Initiatives: Leads research in Information Systems & Analytics at SCU, with collaborations on metaverse-driven data management and AI governance frameworks.

Dan BonehView profile

Professor

• Cryptography
• Computer Security
• Web Security
• +3 more

Professor Dan Boneh is a Cryptography Professor at Stanford University, holding dual appointments in the Department of Computer Science and the Department of Electrical Engineering. He is also a Senior Fellow at the Freeman Spogli Institute for International Studies. Boneh leads the Applied Cryptography Group and co-directs the Computer Security Lab, focusing on cryptographic applications for computer security, including cryptosystems, web security, mobile device security, and cryptanalysis. His work has resulted in over 200 publications and prestigious awards such as the ACM Prize (2015), Gödel Prize (2013), and Packard Fellowship. He completed his PhD at Princeton University in 1996 and has been at Stanford since 1997. His research interests span cryptography fundamentals and practical security solutions, with notable contributions to zero-knowledge proofs, blockchain security, and privacy-preserving technologies. Boneh advises numerous graduate students and postdoctoral researchers, and his courses include Advanced Topics in Cryptography, Computer and Network Security, and Introduction to Cryptography. Boneh’s scientific awards reflect his impact in cryptography and security, including the Simons Investigator award (2015) and the Horizon Award (2006). His work bridges theoretical cryptography with real-world applications, addressing challenges in secure communication, privacy, and decentralized systems.

Timos AntonopoulosView profile

Lecturer

• Logic
• Verification
• Formal Languages
• +3 more

Timos Antonopoulos is a Research Scientist and Lecturer in the Department of Computer Science at Yale University. He is a member of the Rigorous Software Engineering (ROSE) group, led by Ruzica Piskac. His office is located in Dunham Laboratory (Room 404) at 10 Hillhouse Avenue, New Haven, CT. Antonopoulos's research focuses on formal methods and their applications in security and reliability. Key areas include: Logic and Verification : Developing tools and algebras for relational verification, termination analysis, and program correctness. Cryptography & Privacy : Designing zero-knowledge protocols (e.g., ZKSMT, ppSAT) and privacy-preserving techniques for automated decision-making and model checking. Automated Reasoning : Creating frameworks for intentional behavior analysis, SMT-based oracles, and invariant inference to handle uncertainty and complexity. His recent publications (2020–2024) reflect a strong emphasis on cryptographic code security, zero-knowledge proofs, and formal accountability tools. Trends include scalable privacy protocols (e.g., parallelization of zero-knowledge systems), legal/ethical AI verification (e.g., soid for automated decisions), and novel graph/algebraic methods for secure computation. Antonopoulos collaborates extensively within the ROSE group, contributing to projects involving oblivious algorithms, timing-attack mitigation, and secure multi-party SAT solving. His work bridges theoretical foundations (e.g., automata theory, relational algebra) with practical systems security challenges.

Lorenzo GentileView profile

Researcher

• Cryptography
• Multiparty Computation
• Blockchain Technology
• +4 more

Lorenzo Gentile is a Research Engineer at Consensys specializing in cryptographic protocols for multiparty computation and blockchain applications. He has been affiliated with institutions such as the IT University of Copenhagen (ITU), Politecnico di Milano (PoliMi), and research centers including Center for Information Security and Trust (CISAT), Concordium , and CROSSING at TU Darmstadt. Education : PhD in Cryptography (ITU), Master's in Computer Engineering (PoliMi). Research Interests : Focus on cryptographic protocols for multiparty computation (MPC), blockchain technology, operations research, game theory, and secure protocols. His work bridges theoretical cryptography with practical applications in decentralized systems and mathematical optimization. Scientific Collaborations : Participated in research projects at ITU's Business IT Department, PoliMi's Department of Mathematics, and Osservatori Digital Innovation. His PhD involved collaboration as a Scientific Partner with Concordium and a visit at TU Darmstadt's CROSSING research group. Professional Background : Formerly worked at Moxoff (a PoliMi spin-off) on applied mathematics and as a Freelance Software Engineer. Currently contributes to the Linea team at Consensys, focusing on blockchain infrastructure.