Find Academic Supervisors

• Cybersecurity
• Privacy
• Networking for Big Data
• +4 more

Shui Yu is a Professor of the School of Computer Science in the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), where he also serves as the Deputy Chair of the UTS Research Committee. His academic career spans over 20 years in Australia and 7 years in China, with additional teaching experience in Hong Kong and Indonesia. He has developed more than 10 units in cybersecurity, computer science, data analytics, and computer games, serving as the Course Director for Computer Science undergraduate programs. Professor Yu's research interests center on cybersecurity, privacy, networking aspects of Big Data, and applied mathematics for computer science. He pioneered the field of 'networking for big data' in 2013 and edited the seminal book 'Networking for Big Data' published in 2015. His work has practical applications in industry, including Amazon Cloud's auto-scale strategy against distributed denial-of-service attacks. Current research focuses include privacy and security concerns associated with big data, security issues in smart grids, anonymous transactions on Blockchain, and anonymous communication for web browsing privacy. Analysis of his recent publications reveals a strong research trajectory spanning cybersecurity, privacy-preserving technologies, networking for big data, and applied mathematics. His work shows increasing focus on quantum-resistant cryptography, federated learning security, and adversarial robustness in AI systems. The interdisciplinary nature of his research bridges theoretical foundations with practical applications in IoT, blockchain, and cloud environments. Fellow of IEEE (2023) Distinguished Lecturer of IEEE Communications Society (2018-2021) Distinguished Visitor of IEEE Computer Society (2022-2024) Professor Yu has secured numerous research grants from the Australian Research Council, including current projects on privacy and fairness in high intelligence models (DP240100955), improved security and privacy for online platforms (LP220200808), and secure blockchain for financial applications (LP220100453). He has served on editorial boards of multiple IEEE journals including IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, and IEEE Internet of Things Journal. His service extends to organizing major conferences such as IEEE Globecom 2015 and IEEE INFOCOM 2016-2017.

Umar RazaView profile

Senior Lecturer

• Internet of Things
• Machine Learning
• Wireless Sensor Networks
• +9 more

Dr. Umar Raza serves as a Senior Lecturer in Networking, IoT and Smart Systems at Manchester Metropolitan University's Department of Engineering, where he concurrently manages the Cisco Network Academy. His academic career includes prior lecturing roles in Robotics and Computing at Staffordshire University, with research spanning industrial applications of emerging technologies. His educational credentials include a PhD in Wireless Sensor Networks from the University of Bradford (2014), Postgraduate Certificates in Research Methods and Professional Higher Education from Staffordshire University (2005, 2007), an MSc in Electronics and Computer Systems from Huddersfield University (1995), and a BSc in Engineering Electronics from DeMontfort University Leicester. Dr. Raza's research centers on Internet of Things applications integrated with Machine Learning across industrial, agricultural, and healthcare domains. Current projects address IoT/ML solutions for domicile care monitoring, cognitive impairment assistance, natural disaster early warning systems, and smart farming in Pakistan, with emphasis on practical implementations in real-world environments. His recent publications demonstrate a pronounced interdisciplinary trajectory, particularly at the IoT-Machine Learning nexus for healthcare innovation (cardiac diagnostics, autism support wearables) and agricultural technology. Significant contributions also appear in blockchain scalability, vehicular network security, and 5G propagation modeling, reflecting both theoretical rigor and industry-relevant problem solving. Professional recognition includes: Fellow of the Higher Education Academy (FHEA) Dr. Raza actively supervises two MSc and two PhD candidates while leading multiple funded projects: Principal Investigator for KTP projects with Kindus Solutions (completed) and Trumeter Ltd Project Advisor for KTP with RAIT Ltd Lead researcher on NATO Science for Peace Security grant for natural disaster warning systems Principal Investigator for Ignite National Technology Fund smart farming initiative in Pakistan As Cisco Network Academy Manager, he drives industry-academia collaboration in networking education, developing curricula that integrate cutting-edge IoT and cybersecurity concepts while maintaining strong professional engagement through IEEE, IET, and BCS memberships.

Sankardas RoyView profile

Associate Professor

• Cybersecurity
• Digital Forensics
• Android Security
• +5 more

Sankardas Roy is an Associate Professor in the Department of Computer Science at Bowling Green State University. His office is located in Room 238, Hayes Hall, Bowling Green, Ohio. He holds a PhD in Information Technology from George Mason University (2008), an MS in Computer Science from the Indian Statistical Institute (2001), and a BS in Electrical Engineering from Bengal Engineering College (1997). Research Interests: Dr. Roy's research focuses on cybersecurity and digital forensics, with specialization in Android security vetting through static/dynamic analysis and machine learning techniques. Additional interests include digital forensics tool evaluation, game theory applications in security, secure data aggregation in distributed systems, and attribute-based encryption schemes. Publication Trends: His recent publications demonstrate a strong focus on Android security frameworks, malware detection using deep learning, and digital forensics methodologies. Earlier work emphasized wireless sensor network security and game-theoretic defense mechanisms, showing consistent innovation in applied security solutions across different computing domains. Grants and Projects: NSF SaTC-funded project: "Data-driven approaches for security vetting of Android apps" (2017-2021) NIST-funded project: "Incorporating standards in Digital Forensics curricula" (2017-2019) Research Group: Dr. Roy leads an active research team including current MS students (Prabesh Pathak, Prabesh Poudel) and BS students (Andrew Meyer). Past students include Shiva Bhusal (MS 2018), Dewan Chaulagain (MS 2019), and David Shaw (BS 2020).

Jaafar AlghazoView profile

Associate Professor

• Machine Learning
• Deep Learning
• Medical Image Analysis
• +7 more

Dr. Jaafar Alghazo is an Associate Professor in the Math, Science and Technology Department at the University of Minnesota. He currently teaches courses in Information Technology Management and Software Engineering, including ITM 3900-E90: Internship, SE 2200-001: Intro to Software Engineering, and SE 4500-001: Senior Project I. Research Focus: Machine Learning, Deep Learning, Medical Image Analysis, Cybersecurity, IoT, UAV Communications Key Publication Trends: 15 most recent works span 2025–2023, emphasizing neural network optimization, Arabic sign language recognition, flood detection, and secure medical imaging techniques

Kwangsu LeeView profile

Associate Professor

• Cryptography
• Computer Security
• Information Security
• +2 more

Kwangsu Lee is an Associate Professor in the Department of Computer and Information Security at Sejong University, specializing in cryptography and computer security. With a research career spanning over two decades, he has established himself as a prominent figure in cryptographic protocols, particularly in identity-based encryption, functional encryption, and digital signatures. His educational background includes a B.S. from Yonsei University (1998), an M.S. from KAIST (2000), and a Ph.D. from Korea University (completed around 2010-2011). Prior to his current position, he served as a Postdoctoral Researcher at Columbia University (2012) and as an Assistant Professor at Korea University (2014-2016). Professor Lee's research interests focus on cryptographic protocols with emphasis on revocable encryption systems, functional encryption, and secure multi-party computation. His work has significantly advanced the field of identity-based encryption, particularly through his studies on revocable storage systems with access control on ciphertexts, revocable identity-based encryption via subset-difference methods, and functional encryption for inner products that can compute on different ciphertexts. His research addresses critical challenges in key management, access control, and efficiency in cryptographic systems. His publication record shows consistent output with 47 research publications since 2003, with recent work focusing on threshold cryptography, multi-signatures, and decentralized functional encryption. His articles demonstrate a clear progression toward more practical cryptographic solutions with improved efficiency while maintaining strong security guarantees. The research spans theoretical foundations to practical implementations, with applications in cloud security, blockchain, and secure data sharing. Professor Lee actively participates in the cryptographic research community, having presented at major conferences including ASIACRYPT, ICISC, and ACNS. He has maintained a strong research trajectory with increasing publication output over the years, particularly in high-impact journals like IEEE Transactions on Information Forensics and Security, Designs, Codes and Cryptography, and IEEE Access. His research has practical implications for secure cloud computing, privacy-preserving systems, and cryptographic infrastructure for modern applications requiring fine-grained access control and efficient key management.

Lixin TaoView profile

Professor

• Cloud Computing
• Internet/Web Computing
• Intelligent Systems
• +4 more

Dr. Lixin Tao is a tenured Professor and Chairperson of the Computer Science Department at Pace University's Seidenberg School of CSIS. He earned his PhD in Computer Science from the University of Pennsylvania in 1988 and has conducted research and teaching at Concordia University (1988-2001) before joining Pace University. Research Interests: Dr. Tao's work spans Internet Computing , Server Scalability , Component Technologies , Parallel Computing , Functional Simulation , and Combinatorial Optimization , with recent focus on Knowledge Graphs , Semantic Web , and Secure Mobile Cloud Systems . He has pioneered cloud computing research since the 1990s and developed industry standards like OWL extensions. Over 300 peer-reviewed publications Director of Pace University's PhD Computer Science Program (2013-2017) Developed MS in Enterprise Analytics (2015) and BS in Computer Engineering (2017) Scientific Awards: Recognized as IEEE Senior Member (2020), ABET Evaluator (2001-2012), and recipient of multiple research grants including a $12M NSERC Strategic Technology Program and NSF awards for server infrastructure. He received Pace University's Presidential Research Grant and collaborated with institutions like Stanford University on knowledge engineering projects. Professional Contributions: Directed ABET accreditation for Pace's BS-CS program (2010-2012), served as Editor-in-Chief for the Journal of Computer Science Research (2018-present), and supervised dozens of PhD/DPS students in areas ranging from Mobile Payment Protocols to Drug Side Effect Knowledge Graphs . His lab focuses on Knowledge-Empowered AI and Secure Software Development .

Yang LiuView profile

Senior Lecturer

• Data Security
• Privacy-Preserving Computing
• Federated Learning
• +3 more

Dr. Yang Liu is a Senior Lecturer in the Department of Computer Science at Swansea University's Faculty of Science and Engineering. He holds a D.Phil. in Computer Science from the University of Oxford and specializes in data security, privacy-preserving computing, and blockchain technologies. Research Focus: Dr. Liu's work centers on secure computation frameworks with specific expertise in: Federated learning systems optimization Privacy-preserving smart contract design Blockchain security and regulation Cryptographic techniques for data protection Secure machine learning applications Recent publications demonstrate methodological innovations in adaptive federated learning algorithms, regulatable blockchain architectures, privacy-enhanced recommendation systems, and security vulnerability analysis in Ethereum networks. His research bridges theoretical cryptography with practical applications in cloud/edge computing environments.

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

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

• Coding and Information Theory
• Cryptography and Cryptanalysis
• Information Security
• +6 more

Associate Professor Serdar Boztas is affiliated with RMIT University's School of Science in Australia. His academic rank is Associate Professor. He is actively involved in teaching Information Theory, Cryptography and Security, Advanced Topics in Cryptography, and Smartcard Cryptosystems. His research interests span Coding and Information Theory, Cryptography, Information Security, Wireless Communications, and Complex Networks. Research highlights include work on Reed-Solomon codes, insider threat detection, and sequence design with applications in cryptography and signal processing. His recent publications focus on error correction, network security, and algorithmic improvements in coding theory. He has supervised PhD projects on Lightweight Encryption and Insider Threat Mitigation, with notable completed projects in malware analysis and cryptographic countermeasures. Service & Engagement: Committee roles in IEEE workshops, international conferences, and advisory boards (e.g., ISC, AAECC, SECIA). Teaching: Courses emphasize Information Theory, Cryptography, and Security applications. Grants & Funding: Active in securing research funding for projects in cybersecurity and communication systems. Boztas' work bridges theoretical foundations with practical applications in information security, network efficiency, and cryptographic systems. His contributions to sequence design and threat detection methodologies are widely recognized in the field.

• 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.

Cody FreitagView profile

Researcher

• Cryptography
• Theoretical Computer Science
• Security
• +3 more

Cody Freitag serves as a Postdoctoral Researcher at Northeastern University's Khoury College of Computer Sciences, hosted by Professor Daniel Wichs, with concurrent affiliation at Hebrew University of Jerusalem under Professor Ilan Komargodski. His research centers on cryptographic proofs and their applications to decentralization in distributed computing systems. His academic journey includes: PhD in Computer Science from Cornell University (Cornell Tech campus) in 2023, supervised by Rafael Pass Undergraduate degree from The University of Texas at Austin Pre-university studies at the Texas Academy of Math and Science Dr. Freitag's research spans theoretical cryptography with emphasis on zero-knowledge systems, cryptographic protocol design, and security foundations for decentralized environments. His work bridges computational complexity theory with practical implementations in blockchain and distributed systems, particularly focusing on proof systems, time-based cryptography, and secure multi-party computation. Current investigations examine the interplay between cryptographic assumptions and real-world system security. Recent publications reveal consistent innovation in advanced cryptographic primitives, with notable concentration on succinct non-interactive arguments (SNARGs), witness encryption, and verifiable delay functions. His research demonstrates particular expertise in leveraging lattice-based assumptions (LWE) to construct efficient protocols while maintaining rigorous security proofs, with increasing applications in decentralized finance and blockchain infrastructure. His scientific recognition includes: Khoury College Distinguished Postdoctoral Fellowship NSF Graduate Research Fellowship Supported by these prestigious awards, Dr. Freitag maintains active research collaborations across institutions while advancing foundational work in cryptographic theory. His current projects focus on optimizing cryptographic proofs for distributed environments and enhancing security models for decentralized applications. He participates in the cryptography research ecosystem through Northeastern's Khoury College group and Hebrew University collaborations, contributing to the Information-Theoretic Cryptography conference series and advancing theoretical frameworks for next-generation secure systems.

Ahmed BouabdallahView profile

Researcher

• Cybersecurity
• Network Security
• Internet of Things (IoT)
• +13 more

Ahmed Bouabdallah is a full-time researcher at IMT Atlantique's Department of Network Systems, Cybersecurity and Digital Law , with a focus on advanced network security solutions and distributed systems. His work bridges theoretical frameworks with practical implementations in emerging technologies. Key research areas: Cybersecurity, Internet of Things, Software Defined Networking Academic collaborations: Aalborg University, Inria, CNRS, Orange Labs His recent publications analyze AI-driven Kubernetes scaling, malware propagation in 5G networks, and WoT (Web of Things) security architectures. These works demonstrate his expertise in balancing operational costs with Quality of Service (QoS) requirements. From 2015 to 2024, his research trajectory shows increasing specialization in: Container orchestration security Intent-based network mitigation Microservices synchronization Smart space access control Emergency response systems Real-time policy evaluation While no formal academic awards are listed, his publications in Journal of Ambient Intelligence , IEEE , and Sensors indicate significant industry and academic impact.

Ivy K. Y. WooView profile

Researcher

• Cryptography
• Privacy
• Computer Security
• +2 more

Ivy K. Y. Woo is a Doctoral Researcher (academic rank: Researcher) in the Department of Mathematics and Systems Analysis at Aalto University, Finland. She is an active member of the Algebra and Discrete Mathematics research group, collaborating with principal investigators including Russell W.F. Lai and Chris Brzuska on advanced cryptographic protocols. Her research concentrates on Cryptography and Privacy with specialized expertise in lattice-based constructions, anonymous transaction systems, and steganography. Key focus areas include traitor tracing mechanisms, functional encryption schemes, Learning With Errors (LWE) assumptions, and privacy-preserving technologies for blockchain applications. Her methodology integrates theoretical cryptography with practical security implementations, particularly addressing leakage resilience and sustainable anonymity systems. Analysis of her 10 recent publications (2022-2025) reveals dominant research trajectories in lattice-based cryptography (70% of output), with significant contributions to traitor tracing, attribute-based encryption, and obfuscation techniques. Parallel streams explore blockchain privacy (20%) through transaction graph analysis and sustainable ring signatures, plus steganographic methods (10%) for natural data hiding. Her work consistently targets high-impact venues including ASIACRYPT, CRYPTO, and Privacy Enhancing Technologies Symposium. Scientific recognition includes: The Andreas Pfitzmann - PETS Best Student Paper Award Runner Up 2022 for "On Defeating Graph Analysis of Anonymous Transactions" Woo maintains active research partnerships within Aalto's cryptography ecosystem, particularly through the Algebra and Discrete Mathematics group. Her current projects involve lattice-based solutions for multi-authority attribute encryption and leakage-resilient cryptographic primitives, with several 2025 publications indicating ongoing high-productivity collaboration with international research teams.

Lucjan HanzlikView profile

Professor

• Applied Cryptography
• Privacy-Preserving Cryptography
• Public Key Cryptography
• +4 more

Dr. Lucjan Hanzlik is a Professor at the CISPA Helmholtz Center for Information Security, where he leads research in applied cryptography. Prior to his current position since 2020, he served as a Visiting Assistant Professor at Stanford University (2018-2020) and as a Research Group Leader at CISPA (2017-2020). Dr. Hanzlik earned his Ph.D. in Computer Science from the Institute for Computer Science Polish Academy of Sciences in Warsaw in January 2016, completing his dissertation titled "Cryptographic Protocols for Modern Identification Documents" under the supervision of Prof. Mirosław Kutyłowski. His doctoral work focused on cryptographic solutions for identification systems, particularly for embedded devices like smart cards. Dr. Hanzlik's research centers on applied cryptography with particular emphasis on privacy-preserving protocols and cryptographic solutions for constrained environments. His work bridges theoretical foundations with practical implementations, focusing on real-world security challenges. Key areas include blind signatures, anonymous credentials, secure authentication protocols, and cryptographic solutions for blockchain and cryptocurrency systems. He has made significant contributions to the understanding and development of privacy-enhancing technologies that maintain security while preserving user anonymity. His extensive publication record demonstrates a consistent focus on advancing cryptographic techniques for practical applications. Recent work shows increasing attention to blockchain security, privacy-preserving authentication systems, and post-quantum cryptographic solutions. His research often addresses the tension between security, privacy, and usability in modern authentication systems. Dr. Hanzlik has received notable recognition for his work, including: IBM Great Minds Award (2014) As an academic advisor, Dr. Hanzlik currently supervises several doctoral students including Khue Do, Wei-Zhu Yeoh, and Eugenio Paracucchi. His research has been supported by various funding mechanisms including the DAAD Joint Australia–Germany Research Co-operation Scheme for "Secure Online Authentication with Attributes" and the DFG-NCN Weave project on "Identity Wallet in a Hostile Environment: Privacy and Trust By-Design." Dr. Hanzlik is an active member of the cryptographic research community, serving on program committees for major conferences including CRYPTO, EUROCRYPT, ACM CCS, and FC. He leads the Applied Cryptography research group at CISPA, which focuses on developing practical cryptographic solutions for real-world security challenges.

• Blockchain Technology
• Non-Fungible Tokens (NFTs)
• Computer Networks
• +7 more

Shital Joshi is a Teaching Associate Professor in the Department of Computer Science at Oklahoma State University. Her academic career spans roles as a Teaching Assistant Professor (2019–2025) and current position since July 2025. She holds a Ph.D. in Computer Engineering from the University of North Texas (2016). Her research focuses on blockchain technologies, NFT performance modeling, IoT security, energy-efficient networks, and nanoelectronic circuit design. Her work bridges theoretical models with practical implementations, including adaptive blockchain systems, secure telemedicine frameworks, and graphene-based SRAM optimization. Notable contributions include bivariate performance models for NFT chains and energy-efficient routing protocols for wireless sensor networks. She actively participates in academic service, such as the 2023 ABET Symposium. Joshi teaches core computer science courses like Operating Systems, Data Structures, and Computer Systems, emphasizing hands-on learning. Her teaching spans from foundational courses (e.g., Computer Proficiency) to advanced topics (e.g., Memory Management in OS Design).