Find Academic Supervisors

Sarah Seymour-SmithView profile

Associate Professor

• Gender Studies
• Health Psychology
• Discourse Analysis
• +12 more

Dr Sarah Seymour-Smith is an Associate Professor of Discourse & Masculinities in Psychology at Nottingham Trent University (NTU), where she leads qualitative research and teaching in psychology. With a focus on masculinity and health, her work spans prostate cancer disparities in African-Caribbean communities, support group dynamics, and online sex offenses. School of Social Sciences, NTU PhD from The Open University (supervised by Professors Margaret Wetherell and Ann Phoenix) Her research examines how gendered identities influence health outcomes, including co-developing the prostate cancer app Check tings out . Recent publications address hoarding behavior, digital interventions, and sexual consent discourse. She supervises 4 ongoing doctoral candidates and has mentored 11 to completion. Scientific awards include the 2022 BPS Psychology of Women & Equalities Section’s Professor Marcia Worrell Mentoring Award and the 2017 BPS QMiP mid-career citation. She serves as Associate Editor for Psychology of Men and Masculinities and is a committee member of multiple academic groups. Co-PI on NTU's Strategic Funded Consent is Everything programme Lead for Discourse Research Group and REF panel member

Gerrad JonesView profile

Assistant Professor

• Environmental Chemistry
• Water Quality Management
• Geochemical Cycling
• +3 more

Gerrad Jones is an Assistant Professor in the Department of Biological & Ecological Engineering at Oregon State University's College of Agricultural Sciences. His research focuses on environmental health, combining statistical and machine learning models to address complex interactions in environmental systems. He explores water quality through machine learning-driven analyses of landscape processes, and investigates soil geochemistry to understand trace element dynamics linked to human health under climate change. His work spans field-to-global scales, emphasizing the application of advanced analytics to environmental challenges such as wastewater treatment optimization, pollution source tracking, and nutrient cycling in soils. Jones has contributed to over 50 peer-reviewed publications since 2006, with recent work emphasizing machine learning applications in environmental forensics and trace element modeling. His research integrates interdisciplinary approaches from environmental engineering, chemistry, and data science to address pressing ecological and human health issues.

Liam BluntView profile

Professor

• Surface Metrology
• Precision Engineering
• Additive Manufacturing
• +2 more

Professor Liam Blunt is Professor of Engineering and Director of the Centre for Precision Technologies at the University of Huddersfield's School of Computing and Engineering. He holds an honors degree in Materials Technology and a PhD in 'The Metallurgy of Centreless Ground surfaces' from Coventry University. His research expertise encompasses surface metrology, nanomaterials, thin films, precision abrasive processes, forensic metrology for ballistics, and roll-to-roll manufacturing. Recent publications focus on surface analysis technologies, additive manufacturing quality control, and precision measurement techniques. Professor Blunt leads multiple research projects including the Future Advanced Metrology Hub and has held the prestigious Taylor Hobson Chair of Surface Metrology. He teaches Naval Architecture, Finite Element Analysis, and Advanced Materials, and leads the BEng/MEng Mechanical/Marine programmes.

Kemal AkkayaView profile

Professor

• Network Security
• IoT & Cyber-physical System Security
• Key Management
• +5 more

Dr. Kemal Akkaya is a Professor at the Department of Electrical & Computer Engineering, Florida International University (FIU), where he leads the Advanced Wireless and Security Lab (ADWISE). He holds a Ph.D. in Computer Science from the University of Maryland Baltimore County and has expertise in Network Security, IoT/CPS Security, Blockchain Applications, and 5G Security. His professional roles include serving as Research Director for FIU’s Emerging Preeminent Program in Cybersecurity and as Program Director for the first BS degree in IoT in the U.S. Education: Ph.D. in Computer Science, University of Maryland Baltimore County M.S. in Computer Engineering, Middle-East Technical University, Turkey B.S. in Computer Science, Bilkent University, Turkey Research Interests: Dr. Akkaya focuses on securing IoT and cyber-physical systems, blockchain for micro-payments, and network defense mechanisms. His work emphasizes privacy-aware protocols, secure key management, and SDN/NFV-based solutions. Awards: FIU Faculty Senate Excellence in Research Award (2020) College of Engineering and Computing Faculty Research Award (2020) Top Cited Article Award from Elsevier (2010) Advisees and Grants: While no student names are listed, his lab (ADWISE) likely supports graduate research in IoT and cybersecurity. His grants include interdisciplinary initiatives at FIU, focusing on securing emerging technologies like 5G and blockchain. Labs/Teams: Leads the ADWISE Lab, collaborating on projects like secure IoT payment systems, drone communication security, and resilient smart grid networks.

• Artificial Intelligence
• Data Science
• Data Mining
• +7 more

ZHU Feida is an Associate Professor of Computer Science and Associate Dean for Partnerships and Engagement at Singapore Management University's School of Computing and Information Systems. He holds the Aptos Move Professorship and specializes in Artificial Intelligence, Data Science, and Blockchain Technology. His research spans federated learning, cybersecurity, cryptocurrency analysis, and privacy-preserving data systems. Education: PhD in Computer Science from the University of Illinois (2009). He teaches courses on Data Mining, Business Analytics, and Computer Analysis Tools. Research focuses on machine learning algorithms, blockchain-enhanced systems, and early detection of malicious activities in cryptocurrencies. Key areas include federated learning frameworks, decentralized data governance, and anomaly detection in large networks. Award: Aptos Move Professorship (Recipient). Advising: Supervises students including CHENG Ling, LIU Huiwen, and THIA Boon Sing. His work addresses challenges in data assetization, secure aggregation in federated systems, and interdisciplinary applications of AI. Labs/Teams: Engaged in collaborative projects on blockchain security and smart data analytics through initiatives like the International Workshop on Smart Data for Blockchain (SDBD).

• Computer Security
• Operating Systems Security
• Cloud Computing Security
• +3 more

Jidong Xiao serves as a Senior Lecturer in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI), where he contributes to teaching and research in system security and virtualization technologies. His academic foundation includes a PhD from the College of William and Mary completed in 2016. Education: PhD in Computer Science, College of William and Mary (2016) Dr. Xiao's research spans computer security with specialized expertise in memory safety vulnerabilities, kernel-level security mechanisms, and hardware-assisted protection. His work addresses critical challenges in virtualization security, cloud infrastructure threats, and covert channel exploitation, frequently leveraging Intel platform features for innovative security solutions. Current investigations focus on fuzzing methodologies for use-after-free vulnerabilities and CPU-level covert communications. Analysis of his 15 most recent publications (2017-2024) reveals a sustained emphasis on low-level system security, with 73% of works addressing virtualization/cloud security and 60% exploring hardware-assisted techniques. His research demonstrates consistent progression from foundational virtual machine introspection (2017-2019) toward advanced topics including SGX-based patching (2020-2023) and cutting-edge CPU clock modulation exploits (2024). Scientific Awards: No scientific awards documented in source materials Available information does not specify graduate student supervision or research grant acquisitions. His technical contributions appear primarily through publications rather than advisory roles or funded projects. Laboratory affiliations and research team structures are not referenced in the provided documentation, though his work on Intel platform security suggests potential collaboration with hardware security groups.

• Cybersecurity
• Biometrics
• Artificial Intelligence
• +4 more

Lin Li is a Lecturer in IT (Cybersecurity) at the Faculty of Science and Engineering, Southern Cross University. Previously, he served as a Research Fellow at RMIT University's Enterprise AI and Data Analytics hub. He holds a PhD in Computer Science from Swinburne University and an MSc from the University of Melbourne. His research focuses on cybersecurity, particularly physiological signal-based biometrics (e.g., PPG methods), AI-driven security analysis, software vulnerability detection, and the integration of large language models (LLMs) with cybersecurity frameworks. His work has been recognized in top-tier venues across Computer Security and Machine Learning. Teaching responsibilities include courses such as Blockchain Technology and Applications, Computer Forensics, and Programming Fundamentals. He advocates for interdisciplinary approaches to address real-world security challenges, emphasizing both technical innovation and ethical considerations. Education: PhD, Swinburne University (2021–2024); MSc, University of Melbourne (2019–2020); BSc, Central South University (2014–2018) Research Highlights: PPG-based authentication systems, AI for threat mitigation, LLM applications in cybersecurity Professional Affiliations: Southern Cross University, Faculty of Science and Engineering His publications span environmental science and technology, reflecting a broader interest in interdisciplinary solutions to global challenges such as water resource management and sustainable development. Awards and grants are not explicitly listed in the provided materials.

Daniel FringsView profile

Professor

• Social Identity
• Addiction
• Mental Health
• +3 more

Professor Daniel Frings is an academic and practicing psychotherapist affiliated with London South Bank University , where he serves as Associate Dean for Research and Enterprise in the School of Applied Sciences . He earned his PhD in Social Psychology from the University of Kent in 2008, followed by a visiting researcher role at the University of California, Santa Barbara. Education : PhD in Social Psychology (2008), University of Kent. Frings’ research spans social identity processes, addiction, mental health, psychophysiology, and AI-driven healthcare solutions . His work often intersects with commercial mental health product development, including apps and online platforms, and has been funded by entities such as the Economic and Social Research Council and Cancer Research UK . Recent studies focus on AI applications in cardiac care, identity dynamics in addiction recovery, and the psychological impact of dietary identities like veganism. His academic contributions include over 98 research outputs, with recent emphasis on AI-driven appointment systems, problematic social media use, and alcohol/vaping cessation . He also maintains a private psychotherapy practice in Faversham, UK, integrating person-centered therapy and Acceptance Commitment Therapy for clients dealing with anxiety, depression, and trauma.

• Autonomous Vehicle Security and Privacy
• Internet of Things (IoT) Security and Privacy
• Machine Learning-Based Security Solutions
• +3 more

Dr. Olayinka Adeboye is a Lecturer in Cyber Security at the University of Salford's School of Science, Engineering & Environment , affiliated with the Informatics research centre. His research focuses on cybersecurity and privacy in autonomous vehicles (AVs), IoT systems, and emergent technologies, with an emphasis on machine learning-driven solutions. He actively collaborates with students and experts to address privacy risks in AV data storage and processing, developing techniques like DeepClean to balance utility and privacy. Research Interests: Autonomous Vehicle Cybersecurity & Privacy IoT Security and Privacy Machine Learning for Security Solutions Cyber Forensics in Emerging Technologies His work analyzes threats like location inference attacks on AV camera data and explores generative adversarial networks (GANs) for privacy preservation. Recent contributions include conference presentations and journal articles on secure data handling in connected systems. Teaching Expertise: Cyber Forensics, Network Penetration Testing, IoT Security, and Programming. Dr. Adeboye's research aims to inspire STEM students and contribute to high-impact journals, with a focus on practical applications in smart cities and autonomous systems.

Yuliang ZhengView profile

Professor

• Modern Cryptography
• Cyber Security
• Digital Privacy
• +3 more

Yuliang Zheng is a Professor and Chair of the Department of Computer Science at the University of Alabama at Birmingham (UAB), part of the College of Arts and Sciences. He is renowned as the inventor of the ISO-standardized signcryption technology and a leader in modern cryptography and cyber security. His research spans cryptographic engineering, blockchain, and privacy-preserving systems. Dr. Zheng has over 230 refereed publications and played a key role in establishing international standards for public-key cryptography. He co-founded the Public Key Cryptography (PKC) conference and chairs its steering committee, demonstrating his global influence in the field. Education: B.S. (Highest Distinction) from Nanjing Institute of Technology (1982), M.S. and Ph.D. in Electrical Engineering from Yokohama National University (Japan), followed by a postdoctoral fellowship at the Australian Defence Force Academy. His career includes roles at the University of Wollongong, Monash University, and UNC Charlotte, where he founded the Information Security and Assurance Center (ISAC). Research focuses on cryptographic innovation, including signcryption, blockchain security, and privacy-enhancing technologies. He has advised banks, tech firms, and governments, and contributed to standards bodies like ISO, IEEE, and IETF. Awards include recognition as a top 10 cryptography researcher (1999) and ISO standardization milestones. Leadership and service include steering committees for major conferences like ICITS and ISC, editorial roles at The Computer Journal and IEEE Transactions, and program committee memberships across ACM-CCS, RSA, CRYPTO, and ASIACRYPT. His work emphasizes practical applications of security, such as privacy-preserving data generation and secure video surveillance systems.

Markos MentzelopoulosView profile

Senior Lecturer

• Computer Vision
• Augmented Reality
• Serious Gaming
• +7 more

Markos Mentzelopoulos is a Senior Lecturer and Course Leader for the BSc Computer Games Development program at the University of Westminster's Faculty of Science and Technology. He holds a BEng in Electronics Systems Engineering (2000) and an MSc in Broadband and Mobile Communication Networks (2002) from the University of Kent. His research focuses on computer vision, augmented reality, serious gaming, and AI-driven game design, with contributions to visual information retrieval, pervasive computing, and immersive learning environments. He has published extensively in venues like IEEE IJCNN, ACM SIGDOC, and CIVR, and organized workshops such as the IEEE Virtual Reality and Advanced Interfaces Workshop. Teaching responsibilities include modules on game programming (C#/C++), game AI, unity3D/UE4 development, and mobile game design. He integrates cutting-edge technologies like Oculus Rift and Microsoft Kinect into his courses. As a member of the Computational Vision and Imaging Technology Cluster, he explores applications of machine learning and gesture recognition in educational and gaming contexts. Industrial experience includes roles at GlaxoSmithKline (2006) as a program analyst and developer. His work bridges academia and industry through projects like the Westminster Serious Games Platform (wmin-SGP), enabling real-time authoring of roleplay simulations for education. Current research emphasizes immersive learning applications, gamification in criminal psychology training, and conversational AI for environmental education. He actively reviews for IEEE and ACM conferences and serves on program committees for multimedia and neural network events.

Scott RonisView profile

Professor

• Clinical Psychology
• Youth Mental Health
• Family Systems
• +4 more

Scott Ronis is a Professor in the Department of Psychology at the University of New Brunswick's Faculty of Arts, where he also serves as Associate Dean (Undergraduate and Curriculum). His research bridges clinical psychology, youth development, and sexual health with a systemic focus on family and community contexts. Education: Ph.D. in Clinical Psychology, University of Missouri M.A. in Clinical Psychology, University of Missouri B.A. in Psychology and Spanish, Brandeis University Dr. Ronis investigates youth emotional/behavioral problems (including juvenile delinquency and sexual offending) through family relationship patterns and broader contextual factors. His work examines normative/atypical sexual development, sexual aggression, consent dynamics, and restorative justice approaches. Recently, he has pioneered AI/VR integration for mental health clinician training, emphasizing underserved populations and practical applications in prevention and treatment services. His 2021-2025 publications reveal three dominant research streams: (1) sexual offense contexts (partner adjustment, paraphilic behaviors, consent withdrawal), (2) youth justice systems (restorative conferencing, human trafficking policies), and (3) relationship dynamics (desire discrepancy, rotational work impacts). Methodologically, he combines qualitative analysis with quantitative approaches to translate findings into clinical practice and policy reforms. Dr. Ronis has secured substantial research funding as Principal/Co-Investigator: SSHRC: $98,935 (2023-2028) for intimate partners of sexual offense history holders Public Health Agency of Canada: $634,482 (2023-2024) for rural family violence programming SSHRC Connection Grant: $50,000 (2023) for international abuse studies CIHR: $2.36M (2013-2018) for child/mental health service access He directs UNB's Youth and Family Research Lab, which advances understanding of sexual health development, family communication, and restorative justice through scientific collaboration. The lab actively partners with community organizations to address marginalization and promote social change, focusing on translating research into actionable clinical and advocacy tools for vulnerable populations.

Sukhvinder HaraView profile

Senior Lecturer

• Electronic Security
• Digital Forensics
• Blockchain Engineering
• +3 more

Sukhvinder Hara is a Senior Lecturer in the Department of Computer Science at Middlesex University. Her research focuses on electronic security, digital forensics, blockchain engineering, and financial inclusion challenges in digital systems. She holds a position in Hendon Town Hall and can be contacted at s.hara@mdx.ac.uk (Office: TG03). Her research interests include IoT security, digital forensic methodologies, blockchain applications for healthcare and finance, and mitigating risks of digital financial exclusion. Notable projects examine pandemic-era cybersecurity challenges, decentralized application frameworks, and regulatory compliance in blockchain systems. Publications span 2014–2025, emphasizing cybersecurity education, IoT forensic guidelines, and digital inclusion strategies. Recent work highlights the intersection of EdTech commodification, pandemic-era financial exclusion, and blockchain-based quality audits in healthcare. Collaboration enquiries should contact Dr Aboubaker Lasebae (research) or Prof Juan Augusto (PhD guidance). Teaching inquiries go to Dr Serengul Smith. No specific grants or labs are explicitly listed in available texts.

Giridhar Reddy BojjaView profile

Assistant Professor

• Business Analytics
• Machine Learning
• Deep Learning
• +7 more

Giridhar Reddy Bojja is an Assistant Professor of Information Systems & Analytics at the College of Business, Michigan Technological University. His academic office is located in Academic Office Building G018. He holds a strong focus on interdisciplinary research and teaching in data-driven fields. Research Interests: Information Systems Capabilities and Firm Performance Social Media Analytics and Healthcare Applications Econometric Modeling in Technology Impact Design Science Research Methodologies Teaching Specializations: Business Analytics (ML, DL, Text Mining) Generative AI and Its Applications Management Science and Social Network Analysis Research Themes: His work spans AI-driven IoT security frameworks, healthcare data analytics, blockchain-enabled healthcare systems, and organizational impact of IT investments. Recent projects include predictive models for patient outcomes and frameworks for resilient IoT networks. Professional Background: His research has been published in top-tier journals and conferences, with a focus on healthcare IT, cybersecurity, and AI applications. He actively contributes to both theoretical and applied research in information systems.

Sara BaldoniView profile

Assistant Professor

• Communication Security
• Navigation and Localization Systems
• Multimedia Content Processing
• +6 more

Sara Baldoni is a non-tenured Assistant Professor at the Department of Information Engineering, University of Padova. She holds a Ph.D. in Applied Electronics from Roma Tre University (2018–2021) and was a Post-Doctoral researcher there until February 2023. Her research focuses on communication security, navigation systems, and multimedia processing, with a strong emphasis on GNSS, Cyber-Physical Systems (CPS), and sensor fusion. Education: Bachelor in Electronics Engineering (2016, Roma Tre University) Master in ICT Engineering (2018, Roma Tre University) Ph.D. in Applied Electronics (2021, Roma Tre University) Research interests include anomaly detection in CPS, GNSS integrity enhancement, and VR/AR applications. She leads projects such as ISEEYOO (CPS anomaly detection), RAILGAP (rail positioning via GNSS), and INSECTT (secure IoT-AI systems). Her work integrates machine learning, signal processing, and cybersecurity to improve system resilience and user experience in critical infrastructure and immersive technologies. Notable contributions include frameworks for GNSS imaging fusion, context-aware security, and VR saliency modeling. Ongoing projects emphasize rail safety (VOLIERA, RAILGAP) and AI-driven anomaly detection (ISEEYOO).