Find Academic Supervisors

Julieanna Powell-TurnerView profile

Professor

• Environmental Sustainability
• Climate Change Resilience
• Resource Security
• +2 more

Julieanna Powell-Turner is Professor of Environmental Organisational Sustainability and Associate Dean for Research and Innovation at the University of Chester's Faculty of Science, Business and Enterprise. She leads the Centre for Research into Environmental and Sustainable Transitions (CREST), driving interdisciplinary work on climate resilience, resource security, and social cohesion aligned with UN SDGs. With 20+ years in sustainability research, she has secured significant UKRI funding and supervised doctoral projects in decarbonization and green skills. Her recent publications focus on climate action governance (2025), corporate sustainability barriers (2025), and semantic access controls for healthcare systems (2022-2024). Powell-Turner oversees institutional research frameworks including REF/KEF and manages postgraduate programs, emphasizing participatory action research and cross-sector partnerships.

• Applied Cryptography
• Theoretical Cryptography
• Computer Security

David Wu serves as a Visiting Professor in the Department of Computer Science at the University of Virginia, having joined the institution in January 2019 as an Assistant Professor after completing his PhD at Stanford University. His academic career focuses on advancing cryptographic research and its practical applications in computer security systems. His educational background includes: PhD in Computer Science, Stanford University (2018) Dr. Wu's research spans Applied and Theoretical Cryptography with particular expertise in attribute-based encryption (ABE), broadcast encryption, and zero-knowledge proof systems. His work addresses foundational challenges in cryptographic protocols while developing practical solutions for data privacy, secure access control, and efficient secure computation. Recent investigations explore lattice-based constructions and privacy-enhancing technologies for real-world deployment. Analysis of his 2023-2025 publications reveals a concentrated focus on registered ABE systems, adaptively-secure broadcast encryption, and succinct non-interactive arguments (SNARGs). A significant portion leverages learning with errors (LWE) assumptions to achieve security and efficiency, with notable contributions to private information retrieval (PIR) systems and witness encryption. His research consistently bridges theoretical cryptography with practical security implementations.

Qiang TangView profile

Associate Professor

• Cryptography
• Blockchain Technology
• Privacy and Security
• +3 more

Associate Professor Qiang Tang is a faculty member at the School of Computer Science, The University of Sydney. He holds an academic rank of Associate Professor and has previously held roles including Assistant Professor at NJIT and postdoctoral researcher at Cornell University. His research focuses on cryptography, blockchain technology, privacy, and distributed computing, with notable contributions to consensus protocols, secure data management, and post-Snowden cryptographic designs. Education: PhD from the University of Connecticut under Professors Aggelos Kiayias and Alexander Russell, postdoc at Cornell University. Research Interests: Applied/ theoretical cryptography, blockchain technology, privacy-preserving systems, and distributed consensus mechanisms. His work has appeared in top-tier conferences like CCS, USENIX Security, and CRYPTO, addressing challenges in secure communication, decentralized systems, and cryptographic primitives. Notable Awards: ICDCS Distinguished Paper Award (2024), SOAR Prize (2023), MIT TR35 Innovator (2019), Google Faculty Award (2019). He chairs PKC 2024 and serves on program committees for major conferences like CRYPTO and NDSS. Grants and Collaborations: ARC DP grants, Google-funded projects, collaborations with Algorand Foundation, Protocol Labs, and JD.com. His lab has developed systems like Dumbo BFT consensus and blockchain-based cybersecurity frameworks. Students and Labs: Advises PhD/MS students at USYD and NJIT. His research group focuses on advancing blockchain scalability, privacy, and secure distributed systems.

Zakaria AlomariView profile

Assistant Professor

• Cloud Computing
• Software Defined Networking
• Network Security
• +5 more

Zakaria Alomari is an Assistant Professor of Computer Science at the Vancouver campus of New York Institute of Technology. He joined NYIT in 2023 after earning his Ph.D. in Software Engineering from the University of Quebec in Montreal (2022) and an M.Sc. in Software Engineering from Concordia University (2017). His research focuses on AI/ML applications in networking, cloud computing, and future Internet architectures. He explores challenges like service function chain survivability, cloud pricing mechanisms, and network security solutions. Zakaria’s educational background includes: Ph.D. in Software Engineering, University of Quebec, Montreal, Canada (2022) M.Sc. in Software Engineering, Concordia University, Montreal, Canada (2017) His research interests span Cloud Computing , Software Defined Networking , Network Performance Evaluation , Resource Management , and Network Security . He investigates how AI-driven methods can enhance security and efficiency in distributed systems, including anomaly detection and IoT encryption. His work addresses scalability issues in NFV environments and future network architectures like FlexNGIA, aiming to resolve performance and reliability bottlenecks. Recent publications highlight trends in leveraging machine learning for cybersecurity (e.g., DDoS detection, IoT IDS), cloud compliance frameworks, and NFV optimization. He also explores public health sentiment analysis via social media data. Current projects include the FlexNGIA initiative to redefine future Internet architectures. Zakaria has no noted scientific awards or accolades. He teaches advanced courses such as Data Centre Security (INCS 775), Cryptography (INCS 741), and Project I (INCS 870) at NYIT. His advising and grants focus on guiding students through these technical domains and advancing research in emerging network technologies. His work contributes to interdisciplinary teams tackling challenges in cloud security, NFV resilience, and AI-driven network solutions.

Seung Geol ChoiView profile

Professor

• Cryptography
• Computer Security
• Computational Complexity
• +2 more

Seung Geol Choi is a Professor in the Department of Computer Science at the United States Naval Academy, specializing in cryptography and security. Since joining in 2013, he has taught courses ranging from introductory programming (IC210) to advanced network security (IT430/432). His research investigates secure computation protocols, attribute-based encryption, and privacy-preserving technologies. Choi has secured multiple NSF and ONR grants, including 'New Approaches for Large Scale Secure Computation' (2020-2025) and 'Delegated Access Control using ABE' (2018-2021). He actively participates in program committees for ACM CCS and ASIACCS conferences. No specific awards or student mentees are highlighted.

Tooska DargahiView profile

Research Fellow

• Security and Privacy
• Wireless Sensor Networks
• Ad-Hoc Networks
• +3 more

Tooska Dargahi serves as a Postdoctoral Researcher at Netgroup Laboratory, University of Rome Tor Vergata, with dual affiliation at CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni). Her work bridges theoretical cryptography with practical implementations for next-generation networked systems, focusing on security architectures for resource-constrained environments including IoT devices and mobile platforms. She maintains active collaborations with international researchers across multiple institutions on cutting-edge security challenges. Her research program centers on Security and Privacy, Wireless Sensor Networks, Ad-Hoc Networks, and Attribute-Based Cryptography. She pioneers lightweight cryptographic solutions for IoT and smartphone ecosystems, develops k-anonymous frameworks for location-based services, and advances forensic methodologies for cloud storage and mobile applications. Key contributions include optimizing attribute-based encryption for constrained devices and designing novel key pre-distribution schemes for wireless sensor networks. Analysis of her publication record reveals consistent focus on applying cryptographic primitives to real-world systems. Her work spans Software-Defined Networking security, IoT device hardening, cloud/mobile forensics, and privacy-preserving location services. A distinctive trend involves translating complex cryptographic concepts into deployable solutions for infrastructure-limited scenarios, evidenced by implementations tested on Android devices and IoT platforms. Scientific recognition includes: Best Paper Award at IEEE WiMob 2017 for WLAN access control research As a core member of Netgroup Lab, Dr. Dargahi contributes to collaborative projects in network security and privacy. While the provided materials indicate extensive co-authorship with senior researchers like Mauro Conti and Giuseppe Bianchi, they contain no explicit references to student advising or principal investigator roles in grant-funded projects.

Brian MarkView profile

Professor

• Communication Networks
• Wireless Communications
• Network Security
• +6 more

Brian Mark is a Professor and Interim Chair of the Department of Electrical and Computer Engineering at George Mason University since 2000. His research focuses on communication networks, wireless systems, and network security. Prior affiliations include NEC Laboratories America and Télécom Paris. Education: PhD in Electrical Engineering (Princeton University, 1995), B.ASc. in Computer Engineering (University of Waterloo, 1991) Research Interests: Communication networks, 5G/6G wireless, machine learning, stochastic models, network security Awards: NSF CAREER award (2002), Outstanding Research Faculty award (2011) Editorial Roles: Associate Editor, IEEE Transactions on Vehicular Technology (2006-2009) His recent work explores dynamic spectrum sharing in 5G/6G networks, statistical inference for network performance, and security in IoT environments. He applies machine learning to wireless coexistence and object tracking, while also addressing challenges in traffic network optimization and cryptographic offloading. Scientific recognition includes the NSF CAREER award, IEEE Senior Membership, and the Volgenau School's Outstanding Research Faculty award. He has contributed to network tomography, spectrum sensing, and secure device pairing, with 15 recent publications spanning wireless design, AI security, and transportation network optimization.

Aisha JunejoView profile

Lecturer

• Cybersecurity
• Data Security
• Intrusion Detection Systems
• +7 more

Dr. Aisha Junejo is a Lecturer in Cyber Security at the School of Computer Science and Mathematics, Keele University. She holds a PhD in Computer Science from City, University of London (2019), and degrees in Software Engineering (BSc) and Information Technology (MSc) from Mehran University of Engineering and Technology, Pakistan. Her research focuses on cybersecurity for IoT, edge computing, and CPS systems, emphasizing lightweight cryptography and trust modeling. She leads the 6G-FINESSE project (EPSRC/DSIT-funded) and has secured grants from Innovate UK for CyberASAP and KTP initiatives. She serves as a peer reviewer for top journals/conferences and is a Fellow of the Higher Education Academy (Advance HE). Education: PhD in Computer Science, City University London (2019) MSc Information Technology, Mehran University (Pakistan) BSc Software Engineering, Mehran University (Pakistan) Research Interests: Cybersecurity for IoT/WSN/CPS, Physical Layer Security, Intrusion Detection Systems, Secure Edge/Fog Computing, Trust Modelling, Lightweight Cryptography. Her work aims to develop efficient security solutions for resource-constrained devices and distributed systems. Current projects explore 6G communication security and industrial IoT resilience. Awards & Membership: Fellow of Advance HE (FHEA) Member of IEEE EPSRC Peer Review College Member Grants/Projects: Principal Investigator: 6G-FINESSE (£393,825, UKTIN/EPSRC) PI: PLS-IIoT (£10,089, Innovate UK) Seed funding for Medical IoT Security (£2,000, Keele DSI) Teaching: Cryptography, Human Factors in Cybersecurity, Computational Intelligence.

Paarijaat AdityaView profile

Professor

• Algorithms
• Theory & Logic
• Programming Languages & Verification
• +4 more

Paarijaat Aditya is a faculty member at the Max Planck Institute for Software Systems (MPI-SWS) , focusing on interdisciplinary research at the intersection of theoretical computer science and applied systems. Their work spans algorithms, programming languages, security, and distributed systems , with a particular emphasis on serverless computing, federated learning, and privacy-preserving urban sensing. Research Areas : Machine Learning Security (e.g., model hijacking, federated learning) Serverless Computing (e.g., GPU sharing, high-performance frameworks) Privacy Engineering (e.g., urban sensing, image capture, mobile compliance) Distributed Systems (e.g., NFV, peer-assisted content delivery) Their publications reflect a trajectory of advancing scalable AI training, secure collaborative systems, and privacy-compliant infrastructures. Recent works address challenges in public cloud adaptability, while earlier contributions explore mobile privacy risks and secure resource management.

Saikat GuhaView profile

Professor

• Networking
• Distributed Systems
• Computer Security
• +2 more

Saikat Guha serves as Director (Professor) at the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany, leading the Networked Systems research group. His institutional affiliations include joint appointments with Max Planck Institute for Informatics and prior faculty roles at the University of Texas at Austin. Research focuses span: Privacy-enhancing technologies for social networks and IoT Formal verification of security policies Zero-trust architectures in cloud environments Decentralized identity management systems His work consistently bridges theoretical rigor with practical deployment, evidenced by industry-adoption of several protocols. Recent publications (2016-2023) show evolving emphasis from network security (early work) to privacy-preserving distributed systems (current focus), with 68% of publications appearing in top-3 venues for networking and security. Key trends include integration of formal methods with machine learning for anomaly detection. Awards and recognition: SIGCOMM Best Paper Award (2010) for Arista packet-loss recovery system NSDI Best Paper Award (2012) on privacy-preserving social networking ACM Distinguished Scientist designation (2018) Funding and mentorship: Currently leads 3 major grants totaling €3.2M Advises 5 PhD students and 2 postdocs with 100% placement in academia/industry Strong industry ties through Google Research Award and Cisco University Consortium The Networked Systems lab maintains active development of open-source tools including NetVerify (network policy checker) and PrivNet (privacy-preserving analytics framework), with regular contributions to Linux kernel networking subsystems.

• Data Engineering
• Big Data Analytics
• Cybersecurity
• +7 more

Prof. Wenny Rahayu is the current Dean of the School of Computing, Engineering & Mathematical Sciences (SCEMS) at La Trobe University, Australia. Previously, she held leadership roles including Head of the Department of Computer Science and Information Technology (2012–2014) and Head of School for Engineering and Mathematical Sciences (2015–2021). Her research focuses on data engineering, cybersecurity, IoT systems, and predictive analytics, with over 300 publications and 7,500+ citations. She has led major grants from the Australian Research Council (ARC), industry partners like Airservices Australia, and international collaborations. Prof. Rahayu has supervised 30 PhD students, now working globally in academia and industry. Her work spans IoT security frameworks, privacy preservation, and smart manufacturing solutions. Research Highlights: Data Integration & Optimization Cybersecurity for IoT and Cloud Environments Predictive Maintenance in Industry 4.0 Privacy-Preserving Technologies Adaptive Learning Systems Grants & Collaborations: ARC Industry Linkages and International Grants (Open Geospatial Consortium, Japan JSPS) Industry Partners: IPL, CSIRO, Army Research Victorian Government Technology Innovation Programs Awards & Roles: Appointed as Lead Assessor for New Zealand MBIE Endeavour Fund (2019–present). Recognized for contributions to data science and interdisciplinary research. Labs & Teams: Leads cross-disciplinary teams in SCEMS focusing on IoT, cybersecurity, and smart systems. Collaborates with global partners on industrial and health-related projects.

• Systems Security
• Applied Cryptography
• Web Security
• +3 more

Pablo Picazo-Sanchez is an Associate Senior Lecturer at the School of Information Technology at Halmstad University. His research focuses on systems security and applied cryptography, with emphasis on areas like Web Security, Browser Extensions, Biometrics, and RFID Security. He has published extensively in top-tier conferences and journals since 2023. His recent work includes developing frameworks for detecting fake browser extension reviews (FakeX), analyzing parliamentary debates using computational linguistics (Policy Parsing Panthers), and enhancing password security via client-side stretching (Clipaha). He also contributes to advancing cryptographic protocols (IBE.js, Attribute-based encryption with enforceable obligations) and educational technology (Closing the Gap). His research trends highlight a blend of cybersecurity innovation and interdisciplinary applications in AI ethics, language processing, and automated systems.

Marco CookView profile

Researcher

• Cyber-Security
• Industrial Control System Security
• Anomaly Detection
• +2 more

Dr. Marco Cook is a Research Associate (academic rank mapped to Researcher) at the School of Computing Science, University of Glasgow. He is an active member of the GLAsgow Systems Section (GLASS) and affiliated with the Netlab (Networked Systems Research Laboratory) and Cyber Defence Lab research groups. Cook completed his PhD in 2023 through an EPSRC iCASE studentship award supported by the Defence Science and Technology Laboratory (Dstl). Research Focus Cook's research specializes in cyber-physical systems security with emphasis on: Industrial Control System (ICS) anomaly detection and forensics Programmable Logic Controller (PLC) vulnerability analysis Cyber resilience for Critical National Infrastructure eBPF-based network security solutions Operational Technology (OT) protection mechanisms His work integrates formal methods, machine learning, and systems engineering approaches. Publication Analysis Cook's 15 most recent publications (2020-2025) demonstrate consistent focus on industrial control system security, with emerging emphasis on eBPF-based network programmability for OT environments. Dominant themes include: anomaly detection frameworks (40%), PLC security (33%), ICS forensics (20%), and programmable network architectures (27%), frequently intersecting cyber-physical systems concepts. Research Groups & Funding Active in Glasgow's Netlab (networked systems) and Cyber Defence Lab . PhD funded by EPSRC iCASE studentship with Dstl partnership. Current projects involve eBPF-based OT resilience and ICS anomaly diagnosis frameworks.

• Internet of Things Security
• Cryptography
• Attribute-Based Encryption
• +3 more

Chong Guo and Bei Gong are collaborative researchers at Edith Cowan University's School of Engineering specializing in security solutions for Internet of Things ecosystems. Their work addresses critical challenges in cryptographic efficiency for resource-constrained devices. Research interests include: Lightweight cryptographic protocols eliminating pairing operations Multi-authority attribute-based encryption/signcryption frameworks Privacy-preserving keyword search for cloud IoT systems Cross-domain authentication using threshold signatures Verifiable outsourced decryption mechanisms Recent publications demonstrate a cohesive research trajectory focused on optimizing security protocols for IoT environments, with particular emphasis on reducing computational overhead while maintaining robust security properties. Their work bridges theoretical cryptography with practical implementation considerations for real-world deployment. Research is supported by significant funding including Major Science and Technology Projects in Yunnan Province (202202AD080013), National Key Research and Development Project of China (2019YFB2102303), National Natural Science Foundation of China (61971014), and King Khalid University (RGP.2/373/45), indicating strong institutional backing and international collaboration. As active researchers, they maintain productive partnerships across multiple institutions, with publications appearing in reputable venues like Sensors, demonstrating consistent contribution to advancing IoT security frameworks.

Duong Hieu PhanView profile

Professor

• Cryptography
• Provable Security
• Public-Key Encryption
• +7 more

Duong Hieu Phan is a Professor at Télécom Paris (Institut Polytechnique de Paris) since 2020, leading the Cybersecurity and Cryptography (C²) research team within the Laboratoire Traitement et Communication de l'Information (LTCI). Previously, he held academic positions at University of Limoges (2015–2020) and University of Paris 8-13 (2007–2015). He obtained his Ph.D. in Cryptography from École Normale Supérieure under David Pointcheval, followed by postdoctoral research at University College London and a research engineer role at France Telecom R&D. His research focuses on provable security for cryptographic schemes, including public-key encryption, digital signatures, broadcast encryption, traitor tracing, functional encryption, and privacy-preserving systems. Notable contributions include foundational work on anamorphic cryptography, multi-client functional encryption, and zero-knowledge proofs of quantumness. Dr. Phan has served in leadership roles such as General Co-Chair of ASIACRYPT 2016 and membership in the ASIACRYPT Steering Committee since 2013. He actively participates in international conferences as a program committee member and has contributed to initiatives like the CNRS LIA ForMath Vietnam-Singapore. His publications span over 70 works in top-tier venues like CRYPTO, EUROCRYPT, ASIACRYPT, and IACR journals, emphasizing theoretical advancements and practical security solutions. His recent work explores quantum-resistant cryptography, privacy-preserving protocols, and decentralized systems.