جست‌وجوی استاد و پژوهشگر

• Computer Science
• Machine Learning
• Data Science
• +۴ مورد دیگر

Yong Zhang is affiliated with Tsinghua University's Research Institute of Information Technology in Beijing, China. His research focuses on machine learning, optimization algorithms, edge computing, and their applications in areas like time series analysis, federated learning, and sensor networks. He has collaborated on projects involving neural networks, scheduling problems, and privacy-preserving techniques. Education: Yong Zhang earned a PhD in Computer Science and Engineering from Fudan University in 2007. His academic career includes roles at institutions like the Chinese Academy of Sciences and the University of Hong Kong, reflecting a strong interdisciplinary background. Research Contributions: His work spans theoretical computer science, algorithm design, and applied machine learning. Notable areas include developing efficient scheduling algorithms for energy systems, creating robust federated learning frameworks for industrial demand forecasting, and advancing methods for sentiment analysis using multimodal data. He has also contributed to biomedical engineering through smartphone-based health monitoring systems. Collaborations: He frequently collaborates with researchers at institutions like the University of Electronic Science and Technology of China, Nanyang Technological University, and The Hong Kong Polytechnic University. Key projects involve data caching optimization in edge computing, distributed algorithms for dynamic networks, and combinatorial optimization problems. Labs & Future Work: His team explores cutting-edge topics in AI-driven systems, including trust-aware machine learning, distributed resource allocation, and real-time data processing for IoT applications. Current research emphasizes scalable solutions for complex optimization challenges in both academic and industrial settings.

Katerina Sotirakiمشاهده پروفایل

استادیار

• Theoretical Cryptography
• Post-Quantum Cryptography
• Complexity Theory
• +۴ مورد دیگر

Katerina Sotiraki is an Assistant Professor in the Department of Computer Science at Yale University, associated with the Archimedes AI research group. Her work focuses on theoretical cryptography, post-quantum cryptography, complexity theory, and secure computation. She holds a Ph.D. (2020) and M.S. (2016) in Computer Science from MIT, and a B.S. in Applied Mathematics (2013) from the National Technical University of Athens. Prior to Yale, she was a postdoc at UC Berkeley working with Raluca Ada Popa and Alessandro Chiesa, under the guidance of Vinod Vaikuntanathan at MIT. Research Interests : Design and analysis of cryptographic protocols resilient to quantum computing Efficient zero-knowledge proofs and succinct arguments Algorithmic game theory and fair division problems Lattice-based cryptography and post-quantum security Awards & Honors : Winner of 7th iDASH Competition (Track 3) - 2018 Chateaubriand Fellowship - 2018 Paris C. Kanellakis Fellowship (MIT EECS) - 2013 Key Contributions : Developed HOLMES - a system for secure collaborative learning Pioneered lattice-based succinct arguments with polylogarithmic verification Advanced understanding of modulo-p arguments through topological methods Labs & Teams : Active member of the Archimedes AI group at Yale, focusing on secure computation and cryptographic protocols.

Rafail Ostrovskyمشاهده پروفایل

استاد

• Algorithms
• Cryptography and Computer Security
• Theoretical Computer Science
• +۳ مورد دیگر

Rafail Ostrovsky is a Professor of Computer Science and Mathematics at UCLA , affiliated with the Center for Information and Computation Security at the Henry Samueli School of Engineering and Applied Science. He earned his Ph.D. in Computer Science from MIT in 1992 under Silvio Micali. Research Focus: His work spans cryptography, algorithms, and theoretical computer science, emphasizing secure multi-party computation, zero-knowledge proofs, oblivious RAM, and high-dimensional data analysis. Applications include privacy-preserving data mining, systems security, and quantum cryptography. Article Trends: Recent publications address concurrent security protocols, robust secret sharing via expander graphs, and efficient multi-party computation. Topics intersect computational complexity, cryptographic reductions, and practical security implementations. Awards: Recipient of the 2018 RSA Conference Excellence in Mathematics Award , 2017 IEEE Fellow , and multiple IEEE/ACM honors. Holds 14 U.S. patents and over 290 refereed papers. Advising: Supervised 27 Ph.D. students, many now professors at top institutions. Served on 40+ program committees, including FOCS 2011 Chair. Labs: Leads the CICS research center, fostering interdisciplinary work in information security and cryptographic systems.

Thomas Zachariasمشاهده پروفایل

مدرس

• Cybersecurity
• Cryptography
• Privacy-Preserving Communication
• +۴ مورد دیگر

Dr. Thomas Zacharias is a Lecturer in Cybersecurity at the School of Computing Science, University of Glasgow. His research focuses on cryptographic approaches to Cybersecurity and Privacy, emphasizing formal modeling, design, and analysis of secure systems. He holds a PhD in Cryptography from the University of Athens, with prior work as a Senior Researcher at the University of Edinburgh. Education PhD in Cryptography, University of Athens MSc in Theoretical Computer Science BSc in Pure Mathematics BEng in Electrical and Computer Engineering Research Interests Dr. Zacharias specializes in electronic voting systems (e-voting), privacy-preserving communication, blockchain protocols, multi-party computation, and cryptographic foundations. His work bridges theoretical contributions with practical applications, such as the Pebble project for decentralized e-voting solutions. Recent research explores decentralization in distributed protocols like e-voting and blockchain. Publications His publications span advancements in cryptographic protocols, blockchain security, and e-voting systems. Key areas include decentralized voting, privacy-preserving mechanisms, and formal verification of security properties. Recent work addresses challenges in blockchain dynamics and contingent service payments. Awards & Grants Recipient of a $250,000 grant from the Tezos Foundation for the Pebble project , where he serves as Co-Investigator. This project aims to develop and commercialize decentralized e-voting systems. Teaching & Supervision Supervised PhD student Nikolaos Lamprou on e-voting systems in the quantum and classical settings. Teaches Cybersecurity Fundamentals (H) (COMPSCI4062) at the University of Glasgow. Labs & Professional Engagement A co-founder of the Pebble project and active member of the IET’s e-voting working group. Served on program committees for major conferences including CRYPTO, PKC, and PETS.

Chris Cliftonمشاهده پروفایل

استاد

• Data Mining
• Data Science
• Machine Learning
• +۴ مورد دیگر

Chris Clifton is a Professor of Statistics (Courtesy) at Purdue University, affiliated with the Department of Computer Sciences and the Department of Statistics. He holds a Ph.D. from Princeton University (1991) and has over 30 years of experience in academia and industry. His research focuses on data privacy, data mining, and database security, with notable contributions to privacy-preserving techniques and differential privacy. Education: B.S./M.S. in Computer Science and Engineering, MIT (1986) M.A./Ph.D. in Computer Science, Princeton University (1988/1991) Research Interests: Data privacy (including anonymization, disclosure limitation), machine learning fairness, privacy-preserving data mining, database security, and interdisciplinary applications in healthcare and logistics. Awards: IEEE Fellow (2020) ACM Distinguished Member (2017) Multiple College of Science Awards (Teaching, Teamwork, Mentoring) Grants & Advising: Led NSF-funded research on algorithmic bias and privacy metrics. Advised numerous graduate students in data science and security. Played roles such as Interim Department Head (2023–2024) and served on NSF program director teams. Labs/Teams: Active in Purdue’s Data Privacy Research Group and collaborations with industry partners like MITRE and NSF initiatives.

Pascal Sasdrichمشاهده پروفایل

پژوهشگر

• Hardware Security
• Secure Processor Design
• Computer-Aided Security
• +۳ مورد دیگر

Pascal Sasdrich is a Researcher at Ruhr University Bochum, Germany, affiliated with the Faculty of Computer Science and the Security Engineering department. He holds a PhD in IT-Security/Information Technology from the same university (2018), following M.Sc. (2015) and B.Sc. (2012) degrees in the same field. His research focuses on Hardware Security, Secure Processor Design, Computer-Aided Security, and Security by Design. He has extensive experience in cryptographic hardware implementations, including countermeasures against side-channel and fault attacks. Teaching includes courses on Processor Security and Implementation of Cryptographic Schemes. His work bridges theoretical security models with practical hardware implementations, emphasizing automated tools and formal verification for secure embedded systems. Key projects include contributions to Project HEP (open-source hardware security chip design) and development of methodologies like EASIMASK for automated masking in hardware. Publications span cryptographic hardware implementations, fault and side-channel countermeasures, and formal security verification. Notable works include combined threshold implementations, secure processor extensions, and automated generation of masked hardware circuits. Current research emphasizes securing embedded systems through holistic design approaches, including ISA extensions and automated EDA tools.

Diego F. Aranhaمشاهده پروفایل

دانشیار

• Cryptography
• Cybersecurity
• Homomorphic Encryption
• +۷ مورد دیگر

Diego F. Aranha is an Associate Professor in the Department of Computer Science at Aarhus University . His research focuses on cryptographic systems, cybersecurity, and privacy-preserving technologies with applications in voting systems, post-quantum cryptography, and secure computation. He has contributed extensively to homomorphic encryption, secure multiparty computation (MPC), and cryptanalysis of cryptographic implementations. Key projects include: MPCC (2025-2028) : Multi-Party Computation in the Confidential Cloud SCI (2024-2027) : Secure Computation Infrastructures for the Retail Industry RENAIS (2021-2026) : Residue Number Systems for Cryptography His work emphasizes practical efficiency and formal verification of cryptographic protocols. Recent publications highlight advancements in lattice-based cryptography, secure voting schemes, and mitigating side-channel vulnerabilities in post-quantum algorithms. He actively collaborates on open-source cryptographic libraries and standards, with a focus on bridging theoretical security and real-world implementation challenges.

Carsten Baumمشاهده پروفایل

دانشیار

• Cryptography
• Post-Quantum Cryptography
• Secure Multi-Party Computation
• +۲ مورد دیگر

Carsten Baum is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark, working within the Cybersecurity Engineering Center for Quantum Technologies. His research focuses on cryptography, particularly post-quantum security, secure multi-party computation, and quantum-resistant protocols. Primary Affiliation: Technical University of Denmark (DTU) Academic Rank: Associate Professor Research Centers: Cybersecurity Engineering Center for Quantum Technologies Research Interests: Carsten Baum specializes in cryptographic protocols, including zero-knowledge proofs, multi-signatures, and oblivious computation. His work addresses quantum computing threats to classical cryptography and develops resilient post-quantum solutions. Key areas include: Secure multi-party computation (MPC) Post-quantum key agreement Quantum computing's impact on cryptographic security Privacy-preserving technologies Hash function security analysis (e.g., SHA-3) Time-based cryptographic primitives Advising and Projects: As a main or co-supervisor, Baum mentors multiple PhD candidates in post-quantum cryptography and secure protocols. His projects include proactive post-quantum cryptography, quantum key agreement, and long-term security frameworks, reflecting collaborations with institutions across Europe and Asia. Recent Activities: Baum actively organizes and participates in Nordic cryptography workshops, including NordiCrypt Spring 2024 and 2023, fostering academic exchange in cryptographic research.

Yupeng Zhangمشاهده پروفایل

استادیار

• Cybersecurity
• Applied Cryptography
• Zero-Knowledge Proofs
• +۴ مورد دیگر

Yupeng Zhang is an Assistant Professor at the University of Illinois Urbana-Champaign in the Department of Electrical and Computer Engineering, with an affiliate appointment in Computer Science. His research focuses on cybersecurity and applied cryptography , particularly zero-knowledge proofs , secure multiparty computations , and their applications in blockchain and machine learning. Education: Ph.D., Electrical and Computer Engineering, University of Maryland (2018) M.Phil., Information Engineering, Chinese University of Hong Kong (2013) Bachelor of Engineering, Information Engineering, Chinese University of Hong Kong (2011) Research Highlights: Developed scalable zero-knowledge proof systems for blockchain and machine learning Created verifiable computation frameworks for SQL and RAM Advancing privacy-preserving ML and cross-chain blockchain bridges Grants: NSF CAREER award Air Force Research Lab DARPA Google Research Scholar Award Facebook Research Award Latticex Foundation Teaching: CS 461/ECE 422: Computer Security I CS 591 SP: Security and Privacy ECE 407/CS 407: Cryptography ECE 598 YPZ: Advanced Topics in Applied Cryptography Co-taught MOOC on Zero-Knowledge Proofs (Spring 2023) Professional Service: Program Vice Co-Chair, USENIX Security 2024 Program Committee, Crypto 2025, S&P 2025 Reviewer for major journals and conferences

Kai-Min Chungمشاهده پروفایل

پژوهشگر ارشد

• Quantum Cryptography
• Complexity Theory
• Pseudorandomness
• +۳ مورد دیگر

Kai-Min Chung is a Distinguished Research Fellow at the Institute of Information Science (IIS), Academia Sinica, Taiwan. His research focuses on quantum cryptography, complexity theory, and pseudorandomness. Prior to this role, he completed a postdoctoral fellowship at Cornell University (supported by the Simons Foundation) and earned his Ph.D. in computer science from Harvard University under Salil Vadhan. Education Ph.D. in Computer Science, Harvard University (Advisor: Salil Vadhan) Postdoctoral Researcher, Cornell University Research Interests Chung's work bridges quantum computing and cryptography, addressing challenges in secure communication, post-quantum cryptography, and complexity-theoretic foundations. His contributions include groundbreaking results on quantum-resistant protocols, zero-knowledge proofs, and cryptographic primitives resilient to quantum adversaries. Recent research emphasizes the theoretical limits of quantum algorithms and their implications for cryptographic security. Professional Activities Program Committee Chair: Asiacrypt 2024, ITC 2023 Membership on committees for CRYPTO, EUROCRYPT, STOC, FOCS, and others Awards Best Student Paper Award at TCC 2010 Distinguished Paper Award at PLDI 2023 Simons Postdoctoral Fellowship Teaching & Mentoring Chung teaches advanced courses on modern cryptography and advises students in theoretical computer science. He actively recruits postdoctoral researchers and students to his lab, focusing on cutting-edge quantum and classical cryptographic systems.

Martin Albrechtمشاهده پروفایل

استاد

• Lattice-based cryptography
• Post-quantum cryptography
• Applied cryptography
• +۳ مورد دیگر

Martin Albrecht is a Professor of Cybersecurity and Chair of Cryptography in the Department of Informatics at King's College London, Faculty of Natural, Mathematical & Engineering Sciences. He is also a Principal Research Scientist for SandboxAQ, demonstrating his strong industry-academia connections in the cybersecurity field. His research focuses on lattice-based cryptography, post-quantum cryptography, applied cryptography, social foundations of cryptography and information security, and computational mathematics. Albrecht's work bridges theoretical cryptography with practical security concerns, examining cryptographic implementations 'in the wild' and addressing vulnerabilities in widely used communication platforms like WhatsApp, Telegram, and Matrix. His Erdős–Bacon Number is 6, reflecting his interdisciplinary connections. Recent publications reveal a strong trend toward practical cryptographic analysis of real-world systems while advancing theoretical foundations of post-quantum cryptography. His work spans from breaking end-to-end encryption implementations to developing new lattice-based cryptographic primitives resistant to quantum computing threats. Much of his recent research addresses the urgent need for quantum-resistant cryptography as demonstrated by his European-funded project developing algorithms to protect data encryption against future quantum computers. IEEE Symposium on Security and Privacy distinguished paper award (2023) for work revealing security vulnerabilities in popular chat platforms Major European funding (2023) for advancing encryption technology against quantum computing threats Professor Albrecht leads the Cybersecurity research group at King's which studies design, modeling, analysis, verification and testing of networks and systems, and is part of the Security Hub that consolidates security-related research. His work has demonstrated critical vulnerabilities in widely used platforms including WhatsApp, Matrix, and Nextcloud, with findings reported as recently as July 2025 regarding WhatsApp's persistent vulnerabilities. He has supervised numerous PhD students and maintains active collaborations across the cryptographic research community. Through his open-source projects including FPLLL, FPyLLL, G6K, Lattice Estimator, M4RI, and M4RIE, Albrecht has made significant contributions to the cryptographic tools ecosystem, providing researchers and practitioners with essential resources for lattice-based cryptography and computational mathematics.

Sabine Oechsnerمشاهده پروفایل

استادیار

• Secure Multiparty Computation
• Cryptography
• Cryptographic Protocols
• +۳ مورد دیگر

Sabine Oechsner is an Assistant Professor at the Faculty of Science , Computer Science Department of Vrije Universiteit Amsterdam, and a member of the Network Institute . Her research focuses on cryptographic protocols, secure multiparty computation (MPC), and formal verification of cryptographic systems. She specializes in designing secure computation frameworks with practical implementations against malicious adversaries. Her work emphasizes adaptive security , garbling schemes , and zero-knowledge proofs , with applications in privacy-preserving technologies and secure communication. Collaborations span global institutions, addressing challenges in cryptographic protocol efficiency and real-world security mitigations. She teaches Secure Programming (2024–2025) and has published 12 peer-reviewed articles since 2018, including foundational work on SPDZ implementations and time-lock puzzles . Her research bridges theoretical cryptography with practical, deployable solutions.

• Cryptography
• Secure Multiparty Computation (MPC)
• Zero-Knowledge Proofs
• +۳ مورد دیگر

Aarushi Goel is an Assistant Professor of Computer Science at Purdue University's Department of Computer Science, part of the College of Science. She joined the department in Fall 2024 and is affiliated with Purdue's main campus in West Lafayette, Indiana. Her research focuses on cryptographic protocols, with a strong emphasis on secure multiparty computation (MPC), zero-knowledge proofs, and distributed systems security. Her work addresses challenges in privacy-preserving computation, Byzantine fault tolerance, and efficient cryptographic systems. Notable research directions include optimizing MPC protocols for dynamic environments, minimizing communication overhead in distributed systems, and developing practical zero-knowledge proof frameworks. Recent publications explore topics like homomorphic secret sharing, sublinear prover protocols, and Byzantine agreement with polylogarithmic communication complexity. Dr. Goel's contributions often bridge theoretical cryptography with real-world applications, such as secure machine learning training and verifiable computation. Her work has implications for decentralized systems, blockchain technology, and privacy-enhancing technologies. No awards or grants are explicitly listed in the provided materials, but her prolific publication record indicates active engagement in cutting-edge research. She holds no listed advisees or students in the current data. Lab and team affiliations are not specified in the provided text, though her research likely involves collaborations within Purdue's computer science department and external institutions. Her office is located in LWSN 2142D on the Purdue campus.

Hemanta K. Majiمشاهده پروفایل

دانشیار

• Cryptography
• Information Theory
• Secure Computation
• +۴ مورد دیگر

Hemanta K. Maji is an Associate Professor in the Department of Computer Science at Purdue University, affiliated with the College of Science. He joined Purdue in 2015 as an Assistant Professor and was promoted to Associate Professor in 2023. His research focuses on cryptography, information theory, secure computation, and quantum computing, with a particular emphasis on leakage-resilient secret sharing, secure multiparty computation, and cryptographic protocol design. Education: Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (2011), B.Tech. from IIT Kanpur (2004). Postdoctoral research included positions at UCLA’s Center for Encrypted Functionalities (2013–2015) and as a Computing Innovation Fellow (2011–2013). Research interests span theoretical cryptography, including secure computation, information-theoretic cryptography, and algorithmic aspects of privacy-preserving techniques. He has received grants from NSF, IARPA, MITRE, and the Ross–Lynn Research Scholar Grant. His work has led to advancements in leakage-resilient schemes, non-malleable codes, and cryptographic complexity analysis. Key contributions include leakage-resilient Shamir’s secret sharing, secure non-interactive simulation, and geometric approaches to secure two-party computation. His articles address foundational questions in cryptographic protocol design, emphasizing practical applications such as low-latency MPC and collusion-resistant secret sharing. Awards include the 2019 Excellence in Research at Purdue Award and the 2004 Best B.Tech. Project Award from IIT Kanpur. He mentors Ph.D. and master’s students, including Mingyuan Wang, Hai H. Nguyen, and Hamidreza Amini Khorasgani. Teaching includes courses on cryptography, theoretical computer science, and mathematical toolkits for computer science. Labs/Teams: Leads research in secure computation and cryptography, collaborating with institutions like UCLA and MITRE. Active in organizing workshops and guest lectures on cryptographic complexity and information theory.

Ali Ghorbaniمشاهده پروفایل

استاد

• Cybersecurity
• Machine Learning
• Network Security
• +۳ مورد دیگر

Dr. Ali Ghorbani is a Professor and Tier 1 Canada Research Chair in Cybersecurity at the University of New Brunswick's Faculty of Computer Science, where he served as Dean from 2008-2017. He is the founding Director of the Canadian Institute for Cybersecurity (CIC), established in 2016. Ghorbani holds BSc (Tehran), MSc (George Washington University), and PhD (UNB) degrees. With 42+ years in academia, his research spans cybersecurity, machine learning, adaptive systems, and critical infrastructure protection. Ghorbani has co-founded three cybersecurity startups (Sentrant Security, EyesOver Technologies, Cydarien Security) and co-invented four awarded patents. He has published 300+ peer-reviewed papers and supervised 250+ researchers. Professional roles include co-founding the National Cybersecurity Consortium (NCC) and serving as co-editor-in-chief of Computational Intelligence journal. Awards & Honors: Canada Research Chair in Cybersecurity Startup Canada Senior Entrepreneur Award (2017) RBC Top 25 Canadian Immigrants (2019) CAIAC Lifetime Achievement Award (2024)