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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.

Fiona ENGView profile

Researcher

• Linear Systems
• Graph Theory
• Web3 Technologies
• +4 more

Fiona ENG is a researcher at iTrust, Singapore University of Technology and Design (SUTD), since 2024. She holds a bachelor’s degree in Computer Science from the University of Wollongong, Australia. Prior to academia, she worked in multinational corporations like Accenture and Luxoft, focusing on software development and enterprise solutions. Her research spans multiple domains including linear systems and graph theory, Web3 and quantum security frameworks, optimization challenges in computing architectures, programmable obfuscation techniques, and the development of trustworthy AI systems. Before joining iTrust, she contributed to LLMs data synthesis scripts and multiparty computation (MPC) interfaces as a researcher. Her interdisciplinary work bridges theoretical computer science with practical security and privacy-preserving technologies. Current research emphasizes scalable optimization methodologies and secure AI deployment strategies. No scientific awards or grants are explicitly mentioned in the provided text. She is affiliated with the iTrust Center at SUTD, though specific lab or team affiliations beyond iTrust are not detailed here.

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.

Brandon BolteView profile

Assistant Professor

• Global conflict
• Civil war
• Pro-government militias
• +3 more

Brandon Bolte is an Assistant Professor of Political Science at the University of Illinois Springfield (UIS), affiliated with the School of Politics and International Affairs. Previously, he served as a Peace Scholar Fellow at the United States Institute of Peace and a Postdoctoral Teaching Fellow at Penn State University, where he earned his PhD in 2022. His research focuses on global conflict dynamics, civil wars, pro-government militias, and quantitative methodology. He teaches courses on international relations, quantitative methods, and applied statistics. Dr. Bolte’s research has been published in prestigious journals such as the Journal of Conflict Resolution , International Studies Quarterly , and MDPI Mathematics . His work explores topics like the survival of militias post-conflict, right-wing populism’s impact on international disputes, and Bayesian statistical modeling for social science analysis. He has also contributed to methodological advancements through software development, including the R package BayesSPsurv . No scientific awards are explicitly mentioned in the provided materials. His advising and grants sections remain unspecified. He is actively involved in research on conflict studies and quantitative methods, with a focus on militarized actors and political violence.

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.

Lili JiangView profile

Associate Professor

• Artificial Intelligence
• Privacy Protection
• Fairness in AI
• +4 more

Lili Jiang is an Associate Professor at the Department of Computing Science, Umeå University, where she serves as Director of Studies and Programme Director for the MSc in Computing Science. She holds a PhD in Computer Science with expertise in AI trustworthiness, data mining, and natural language processing. Her research bridges computer science and artificial intelligence, focusing on privacy, fairness, and federated learning systems. Her research interests center on: Developing trustworthy AI systems with emphasis on privacy-preserving techniques Ensuring algorithmic fairness in socio-technical decision-making Advancing few-shot learning methods for NLP tasks Creating robust data federation frameworks for cross-database analysis Recent publications demonstrate strong focus on few-shot learning (particularly in NLP), privacy-preserving AI , and applied data mining for industrial/environmental systems. Her work consistently addresses real-world challenges through multimodal learning and explainable AI techniques. She leads the Deep Data Mining research group and collaborates with the Interpresence institute. Key projects include: Explainable, Safe, Contact-Aware Planning for Heavy Machinery (XSCAVE, 2024-2028) Assessment and Engineering of Equitable AI Systems (2022-2024) Privacy-aware Federated Database Infrastructure for Micro-Data Analysis (2018-present)

Yuval IshaiView profile

Professor

• Theoretical Computer Science
• Cryptography
• Secure Multiparty Computation
• +5 more

Yuval Ishai is a Professor at the Department of Computer Science at the Technion - Israel Institute of Technology , currently on sabbatical at AWS . His research focuses on cryptography, particularly secure multiparty computation, efficient proof systems, and their connections to computational complexity theory. Education: PhD in Computer Science, Technion Research Interests span foundational cryptography, lattice-based algorithms, and decentralized systems. He has contributed to advancements in secure computation and error-correcting codes through collaborations at institutions like UCLA and the Simons Institute. Academic Leadership includes serving as Program Chair for TCC 2011, Eurocrypt 2019, and Eurocrypt 2020. He organized the Cryptography 10 Years Later program at the Simons Institute in Summer 2025. Awards & Recognition: FOCS 2004 Best Paper Crypto 2007 Best Paper Crypto 2016 Best Paper SIAM Outstanding Paper Prize TCC Test of Time Award IACR Fellow (2018)

Huijia LinView profile

Professor

• Cryptography
• Theoretical Computer Science
• Computer Security
• +9 more

Huijia (Rachel) Lin is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington , holding the Paul G. Allen Development Professorship. Her expertise lies in cryptography and its intersections with theoretical computer science and security. She actively contributes to foundational research in program obfuscation, functional encryption, and lattice-based cryptography. Research Focus: Cryptography, secure multiparty computation, non-malleability, concurrent security, functional encryption, attribute-based encryption, program obfuscation, lattice-based cryptography. Academic Leadership: Co-chair of TCC 2025, member of the TCC Steering Committee (2018–present), and associate editor for JACM. Awards & Recognition: NSF CAREER Award, Hellman Fellowship, Cisco Research Award, JPMorgan Faculty Award, Microsoft Research PhD Fellowship, and multiple best paper awards. Her work spans theoretical cryptography, with applications to post-quantum cryptography and secure computation. She has advised numerous PhD students, including those now at institutions like Boston University, MIT, CMU, and Stanford.

Tal MalkinView profile

Professor

• Cryptography
• Foundations of Cryptography
• Secure Computation
• +8 more

Tal Malkin is a Professor of Computer Science at Columbia University's Fu Foundation School of Engineering and Applied Science, where she directs the Cryptography Lab and was the inaugural chair of the Cybersecurity Center at the Data Science Institute. She holds a BS in Math and Computer Science from Bar-Ilan University, an MS in Computer Science from the Weizmann Institute of Science, and a PhD in Computer Science from MIT. Her research focuses on the foundations of cryptography, with connections to complexity theory, information theory, and machine learning. She has made significant contributions to secure computation, private search, non-malleable codes, leakage and tamper resilient cryptography, and strong public key encryption. She is a member of Columbia's Theory Group and Systems Security Center. Professor Malkin has chaired major conferences including CRYPTO, CCS, TCC, ACNS, and CT-RSA, and chairs the Theory of Cryptography Conference steering committee. She has served on numerous program and steering committees for leading cryptography and theoretical computer science conferences. IACR Fellow NSF CAREER Award recipient Multiple industry faculty awards (JP Morgan, IBM, Amazon, Google) Avanessians Diversity Award Presidential Teaching Award at Columbia University She has advised numerous PhD students whose research spans secure computation, attribute-based encryption, symbolic model learning, and cryptographic complexity. Her teaching includes advanced cryptography courses covering information-theoretic cryptography, homomorphic encryption, lattices, data privacy, and secure multiparty computation.