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Glenn GulakView profile

Professor

• Homomorphic Encryption
• Quantum Cryptography
• CMOS Biosensors
• +4 more

Glenn Gulak is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. He holds the Canada Research Chair in Signal Processing Microsystems and the Edward S. Rogers Sr. Chair in Engineering. A Senior IEEE Member and Professional Engineer in Ontario, he received his Ph.D. from the University of Manitoba. His research spans: Digital Communication Systems: VLSI implementations of MIMO detectors, lattice reduction algorithms, and homomorphic encryption accelerators Lab-on-Chip Microsystems: CMOS biosensors for rapid pathogen detection and integrated fluorescence imaging Recent publications (2019-2025) demonstrate a dominant focus on privacy-enhancing technologies, with 73% concentrated in cryptographic hardware and homomorphic encryption. This reflects industry-aligned work on confidential computing and secure data processing. Awards & Honors: IEEE Millennium Medal (2001) Canada Research Chair in Signal Processing Systems (Tier 1, 2005-2012) Edward S. Rogers Sr. Chair (2005-2010) RBC Research Prize L. Lau Chair (1999-2004) Teaching Award (1999) He has supervised 44+ graduate students (PhD/MASc) with thesis topics spanning VLSI communication systems, CMOS biosensors, and cryptographic accelerators. Notable industry collaboration includes serving as CTO of a semiconductor startup (2001-2003). His lab develops hardware for quantum cryptography and secure medical computation.

Gagan AgrawalView profile

Professor

• Parallel Computing
• High-Performance Computing (HPC)
• Data Analytics
• +5 more

Gagan Agrawal is the UGA Foundation Professorship in Computing and a Professor at the School of Computing, University of Georgia. He serves as Director of the School and is affiliated with the Franklin College of Arts & Sciences. Agrawal holds a PhD and MS in Computer Science from the University of Maryland (1994-1996). His research focuses on high-performance computing, parallel algorithms, compiler optimization for deep learning, GPU acceleration, and interdisciplinary applications in health informatics. Notable contributions include frameworks like ForensiBlock (blockchain for data forensics) and DELITE (tensorized instruction compilation). Agrawal has secured over $2.5M in NSF grants for projects addressing extreme-scale computing challenges. Recent grants include: SHF: Small: Memory Hierarchy Optimizations Meet Transformers (MITTEN) ($600K, 2024-2027) DELITE compilation system for deep learning models ($600K, 2023-2026) Publications span parallel computing methodologies, cybersecurity frameworks, and health outcomes analysis. His work on social determinants of health in cancer survival has been systematically reviewed in top-tier medical journals. Agrawal leads UGA's computing initiatives, emphasizing interdisciplinary research and student mentorship in HPC and AI domains.

Hoda MalekiView profile

Assistant Professor

• Cybersecurity
• Blockchain Technology
• Digital Forensics
• +4 more

Hoda Maleki is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University's School of Computer and Cyber Sciences. She holds a Ph.D. (2019) and an M.S. in Computer and Information Sciences from the University of Connecticut. Her research focuses on cybersecurity, blockchain technology, digital forensics, and secure access control systems. She has contributed to frameworks like ForensiBlock, exploring blockchain for data provenance and auditability, and has published extensively on topics including machine learning in healthcare cybersecurity and multi-dimensional encryption techniques. Dr. Maleki serves on Augusta University committees including the Faculty Affair Committee and the MS Cybersecurity degree development workgroup. She advises the Women in Cybersecurity Club and the VIVID team. Her professional service includes roles as a grant proposal reviewer for NSF and CICI-NSF, and committee membership for conferences like CCSW'24 and IPDPS. Her recent work emphasizes integrating blockchain with AI for secure systems, such as DLACB (Deep Learning-Based Access Control using Blockchain) and ForensiBlock. Awards include the 2023 Faculty Inclusive Excellence Initiative and 2022 Faculty Recruitment and Retention honors. She teaches advanced courses on cybersecurity topics like secure pollbook systems and cryptographic protocols.

CHANG Ee ChienView profile

Associate Professor

• Information Security
• Cloud Security
• Adversarial Machine Learning
• +6 more

CHANG Ee-Chien is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He serves as the Lead Principal Investigator of the National Cybersecurity R&D Laboratory (NCL) and previously served as Deputy Director of the Center for Technology, Robotics, Artificial Intelligence and the Law (TRAIL) from 2019 to 2022. He also chaired the Joint Academic Committee for the Bachelor of Computing in Information Security program from 2016 until April 2023. Dr. Chang received his Ph.D. in Computer Science from New York University in 1998, following his M.Sc. and B.Sc. in Mathematics from the National University of Singapore in 1993 and 1991 respectively. He completed postdoctoral work with DIMACS at Rutgers University and NEC Labs America. His research focuses on information security, multimedia security, and their intersection. His work spans from foundational research in cryptographic techniques for noisy data and image watermarking to contemporary challenges in data privacy, cloud security, and adversarial machine learning. Dr. Chang has published extensively in top-tier security and computer science venues including CCS, EUROCRYPT, USENIX Security, and ACM Multimedia. Analysis of his recent publications reveals a strong emphasis on practical security solutions using hardware features like Trusted Execution Environments, innovative approaches to watermarking using generative models, and addressing emerging threats in machine learning systems. His work bridges theoretical cryptography with real-world security challenges, particularly in cloud infrastructure and privacy-preserving technologies. Active leadership in National Cybersecurity R&D Laboratory Extensive service on program committees for major security conferences Consultancy roles with Huawei, i-Sprint, and Singapore Accreditation Council Media commentary on cybersecurity issues for major Singaporean outlets Dr. Chang has mentored numerous research fellows and students who have gone on to academic and industry positions worldwide. His educational contributions include developing cybersecurity curriculum and innovative teaching methods such as penetration testing using real-world university applications. He has taught core security courses including CS2107 Introduction to Information Security continuously since 2014.

Ken BarkerView profile

Professor

• Computer Science
• Data Security
• Distributed Systems
• +7 more

Ken Barker is a Professor and Director of ISPIA at the University of Calgary's Department of Computer Science within the Faculty of Science. He holds a Ph.D. from the University of Alberta (1990) and has extensive experience in industrial computer systems and database design. His research focuses on distributed systems, data privacy/security, bioinformatics, and heterogeneous systems. He has served as Dean of the Faculty of Science, Department Head of Computer Science, and Past President of the Canadian Association of Computer Science (CACS/AIC). His work emphasizes privacy-preserving technologies, blockchain applications, and event understanding systems. Barker has published over 200 peer-reviewed papers across domains like transaction systems, spatial databases, and astro-informatics. He advocates for balancing data utility with privacy through frameworks like the Privacy Policy Permission Model. His contributions include the CHRONOS event prediction system and blockchain-based platforms for secure data storage.

• Web Security
• Identity Management
• System Security
• +3 more

Dr. Wanpeng Li is a Lecturer in Cyber Security within the Department of Computer Science at the University of Liverpool. Prior to this role, he held lecturer positions at the University of Aberdeen and Manchester Metropolitan University, and worked as a postdoctoral researcher at City, University of London. His research focuses on critical areas in cyber security including web security, identity management, authentication mechanisms, and malware detection using machine learning. Research Trends: His recent publications span both cyber security and mathematical modeling domains. Key security themes include automated vulnerability detection, federated learning attacks, and privacy-preserving protocols for vehicular networks and IIoT systems. Parallel studies in grey system models explore energy consumption forecasting and environmental impact analysis using fractional calculus and neural network integrations. Advising: Dr. Li actively accepts PhD students in cyber security-related fields.

Thang HoangView profile

Assistant Professor

• Applied Cryptography
• Cybersecurity
• Privacy-Preserving Technologies
• +5 more

Thang Hoang is an Assistant Professor in the Department of Computer Science at Virginia Tech and a CCI Researcher. He holds a PhD from the University of South Florida (2020), an M.S. from Chonnam National University (2014), and a B.S. from University of Science, VNU-HCMC (2010). His research focuses on applied cryptography, cybersecurity, privacy-preserving technologies, and secure machine learning. Notable contributions include work on encrypted databases (Hermes), certificate revocation systems (AccuRevoke), and privacy-preserving federated learning. He has received grants such as the NSF SaTC Core Medium Grant (2024) and has advised multiple students including Tung Le, Arman Riasi, and Hoang-Dung Nguyen. His work has been published in top venues like IEEE S&P, PETS, and ACM CCS. He is actively involved in program committees for conferences like PETS and IEEE MASS.

Veronika KuchtaView profile

Assistant Professor

• Post-Quantum Cryptography
• Mathematical Cryptography
• Blockchain Security
• +3 more

Dr. Veronika Kuchta is an Assistant Professor at Florida Atlantic University's Department of Mathematical Sciences, specializing in post-quantum cryptography and its applications to blockchain. She holds a PhD in applied cryptography from the University of Surrey (2016) and has held roles including Honorary Research Fellow at The University of Queensland (UQ) School of Mathematics and Physics (2020–2022), Research Fellow at Monash University (2018–2020), and postdoc at Université libre de Bruxelles (2016–2018). Education: PhD in Applied Cryptography, University of Surrey, UK (2016) Diploma in Mathematics, Heidelberg University, Germany (2010) Research Interests: Her work focuses on constructing quantum-resistant cryptographic primitives, including lattice-based schemes, zero-knowledge proofs, and their integration into real-world systems like blockchain. She explores topics such as post-quantum verifiable random functions, cryptographic accelerators, and privacy-preserving authentication protocols. Key Projects: Formal Verification of Post-Quantum Cryptographic Primitives (UQ Cyber Seed Funding, 2021–2023) Algorand Centre of Excellence on Sustainability Informatics (2022–2023) Grants & Funding: Noted for contributions to blockchain security and lattice-based protocols, her work is supported by industry and institutional grants, including the Monash University Open Grant for the Algorand Centre of Excellence. Labs/Teams: Collaborates with interdisciplinary teams on cryptographic protocol design and hardware-accelerated cryptography (e.g., TPU-based cryptographic acceleration).

Jixin MaView profile

Professor

• Artificial Intelligence
• Data Science
• Temporal Representation
• +3 more

Professor Jixin Ma is Director of the PhD/MPhil Programme and Professor of Computer Science (Artificial Intelligence) at the University of Greenwich's School of Computing and Mathematical Sciences. He leads the Artificial Intelligence Research Group and has published over 200 research papers in top-tier journals and conferences. His research spans artificial intelligence, data science, temporal reasoning, information security, machine learning, and case-based reasoning. Research interests focus on: Temporal representation and reasoning Secure computation and encrypted search Machine learning applications in security Computer vision and pattern recognition He has received multiple awards including 6 Best Paper awards and has secured research grants exceeding £330,000.

Kenneth PatersonView profile

Professor

• Cryptography
• Information Security
• Applied Cryptography
• +3 more

Prof. Kenneth Paterson is a Full Professor at ETH Zürich's Department of Computer Science, leading the Applied Cryptography Group. He has held academic positions at Royal Holloway, University of London, and Hewlett-Packard Laboratories. His research focuses on cryptographic protocol analysis, provably secure solutions, and real-world system vulnerabilities. Key contributions include the Lucky 13 TLS attack, analyses of Telegram and OpenPGP, and work on cryptographic transition strategies. He has been recognized with awards such as the Google Distinguished Paper Award, IACR Fellowship, and ETH Golden Owl Teaching Award. His leadership roles include Department Head at ETH Zurich and Programme Chair for EUROCRYPT 2011. Paterson actively engages in standardization efforts through IRTF's CFRG and co-founded the Real World Cryptography workshop series. Education: B.Sc. (Mathematics, University of Glasgow, 1990), Ph.D. (Mathematics, University of London, 1993). Career highlights include EPSRC Leadership Fellowship (2010–2015) and IACR Distinguished Lecture at EUROCRYPT 2025. Research Interests: Cryptography, Information Security, Applied Cryptographic Protocols, TLS Analysis, Post-Quantum Cryptography, and Privacy-Preserving Technologies. Notable projects include cryptographic analysis of TLS, SSH, and cloud storage systems. Awards and Recognition: Google Distinguished Paper Award (2012) Applied Networking Research Prize (2013) IACR Fellow (2017) ETH Golden Owl Teaching Award (2022) Multiple Best Paper Awards at ACM CCS, CHES, and IEEE Security & Privacy Advising and Grants: Supervised students like Francesca Falzon and led projects funded by EPSRC, IRTF, and industry collaborations. Contributions to cryptographic agility and transition strategies for Internet protocols. Labs/Teams: Founder and Head of ETH Zurich's Applied Cryptography Group, associated with the Institute for Information Security. Collaborates with industry on cryptographic protocol development and security audits.

Akanksha SainiView profile

Lecturer

• Cybersecurity
• Health Informatics
• Distributed Computing
• +4 more

Dr. Akanksha Saini is a Lecturer at RMIT University's School of Accounting, Information Systems, and Supply Chain. Her research focuses on cybersecurity, distributed systems, health informatics, and blockchain applications in healthcare. She holds an ORCID identifier (0000-0002-7191-2854) and is open to supervising Masters and PhD students in cyber security and related fields. Research Interests: Cybersecurity and Privacy Blockchain Technology in Healthcare Artificial Intelligence Applications Quantum Computation Supply Chain Management Health Informatics Systems Key Contributions: Pioneering work on securing distributed networks for IoT intrusion detection Developed blockchain-based frameworks for medical data sharing and access control Established collaborations with industry and international researchers Publications Highlight: Recent articles (2021–2025) emphasize blockchain applications in healthcare, federated learning, and cybersecurity challenges in the GenAI era. Over 30+ peer-reviewed papers in journals like Journal of Information Security and Applications and IEEE Internet of Things Journal . Supervision and Collaboration: Available to supervise research in cyber security and AI Industry partnerships align with national research priorities Co-authored papers with global collaborators in cryptography and health informatics Labs and Teams: Engaged in interdisciplinary projects at RMIT's School of Accounting, Information Systems, and Supply Chain, with a focus on real-world industry applications.

• Cybersecurity
• Privacy and Data Protection
• Cloud Computing Security
• +6 more

Stefanos Gritzalis is a Professor of Information and Communication Systems Security at the University of Piraeus, Greece (2019+), leading the Lab. of Systems Security. Previously, he served as Rector of the University of the Aegean (2014-2018) and held academic roles at the University of the Aegean, including Professor and Head of the Department of Information and Communication Systems Engineering. His expertise spans cybersecurity, privacy, and regulatory compliance, particularly in cloud computing and IoT. He is a member of the Hellenic Authority for Communication Security and Privacy and the National Commission for Human Rights (2024+). Education includes a BSc in Physics, MSc in Electronic Automation, and PhD in Information and Communications Security from the University of Athens. His research focuses on cybersecurity, privacy preservation, and GDPR compliance, with over 336 publications, including 14 books and 37 chapters. He has an h-index of 55 and is ranked in the top 2% of global ICT researchers (Elsevier, 2024). He serves as Area Editor for IEEE Communications Surveys and Tutorials , and has edited 35 journals. He has supervised 17 PhD theses and over 150 Master’s and 300 BSc theses. His work includes designing privacy-aware systems and frameworks for cloud forensics, with grants exceeding €6 million. He advises on EU-funded projects and evaluates proposals for global research bodies like the ERC and Swiss National Science Foundation. His contributions to policy include co-creating Greece’s Open Government Partnership National Action Plan and advising on digital transformation strategies. He promotes cybersecurity education through gamification and has published on privacy literacy initiatives.

Daoyuan WuView profile

Assistant Professor

• AI Security
• LLM Security
• Blockchain Security
• +3 more

Daoyuan Wu is an Assistant Professor at the School of Data Science, Lingnan University, Hong Kong, one of eight UGC-funded universities in the region. Previously, he held positions as a Research Assistant Professor at HKUST CSE, Senior Research Fellow at Nanyang Technological University, Senior Researcher at Huawei HKRC, and Research Assistant Professor in the Department of Information Engineering at The Chinese University of Hong Kong (CUHK), where he also served as an Adjunct Assistant Professor from 2022-2023. His research focuses on the intersection of Large Language Models and security, with specialization in LLM for Security and Security of AI/Blockchain/Code/Mobile . His work spans multiple domains including AI/LLM4Sec (using LLMs for vulnerability detection), AI/LLM-Sec (securing LLMs themselves), Blockchain and Web3 Security, and Mobile and Software Security. He leads the AIS2Lab which is actively researching LLM applications in cybersecurity contexts. His recent publications demonstrate a strong trend toward applying LLMs to security problems across multiple domains, with significant contributions to smart contract security through tools like PropertyGPT (which received a Distinguished Paper Award at NDSS 2025), GPTScan, and ACFix. His work combines program analysis with LLM capabilities to address complex security challenges that traditional methods struggle with. Distinguished Paper Award at NDSS 2025 for PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation Dr. Wu actively advises PhD and research students, with several former students now working at top institutions and companies including Huawei, OKX, and academia. He's currently hiring PhD students for Fall 2026 with scholarship support of approximately HK$19,000 per month. His lab receives funding from multiple internal and external grants supporting PhD students, RAs, and PostDocs. He leads the AIS2Lab which focuses on AI/LLM applications in security contexts across multiple domains including blockchain, mobile security, and software security. The lab maintains active collaborations with researchers at top institutions globally and has developed multiple influential tools and frameworks for security analysis.

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.

• Image Compression
• Cryptography
• Privacy-Preserving Systems
• +5 more

Ja-Ling Wu is a distinguished Professor in the Department of Electrical Engineering at National Taiwan University's College of Electrical Engineering and Computer Science. With an extensive publication record spanning over four decades (1984-2025), Professor Wu has established himself as a leading researcher in multimedia systems, image processing, and security technologies. His academic career demonstrates consistent productivity with 255 indexed publications showing no signs of slowing down, with numerous papers published in 2024 and 2025. Professor Wu's research interests center on image compression, cryptography, privacy-preserving systems, and machine learning applications. His work bridges theoretical foundations with practical implementations, particularly in multimedia security and efficient data representation. Over his career, he has developed innovative approaches to image and video coding, data hiding techniques, and secure computation methods that have influenced both academic research and industry applications. Analysis of his recent publications (2023-2025) reveals a strategic evolution of his research toward contemporary challenges in AI security, with increasing focus on learned image compression, privacy-preserving machine learning, and the integration of cryptographic techniques with deep learning systems. His work demonstrates a consistent ability to adapt to emerging technological landscapes while maintaining core expertise in multimedia processing. Professor Wu has mentored numerous students who have become active researchers in their own right, with many continuing to collaborate with him on cutting-edge projects. His leadership in the field is evident through his sustained publication output across top venues including IEEE Transactions, ACM Multimedia, and specialized cryptography conferences.