Find Academic Supervisors

• Immersive Systems Design
• Cybersecurity Education
• Human-Computer Interaction
• +3 more

Dr. Iona Ferguson is a Lecturer in Immersive Systems Design at the Glasgow School of Art (GSA), specializing in the intersection of technology, education, and accessibility. She teaches coding, games design, audio engineering, and augmented reality, blending academic rigor with practical industry insights. Her educational background includes a PhD in psychoacoustics and haptics from the University of Glasgow, preceded by undergraduate studies in computer science at Aberdeen. Prior to joining GSA in 2022 as a Research Associate, she worked at Glasgow Royal Infirmary’s Hearing Sciences Unit and held roles in Human-Computer Interaction. Research interests focus on serious games for cybersecurity education, haptic feedback systems, and accessibility technologies. She pioneered methodologies like the 'Serious Slow Game Jam' to enhance collaborative design processes in educational contexts. Her work intersects disciplines such as game design, sensory interaction, and medical rehabilitation. Publications highlight innovative approaches to cybersecurity training, interdisciplinary collaboration in game development, and tactile interfaces for accessibility. Though no formal awards are listed, her contributions to immersive systems design and inclusive technologies reflect significant scholarly impact. Her teaching and research emphasize bridging technical proficiency with human-centered design principles, particularly in creating accessible and engaging educational tools.

Keith BrownView profile

Professor

• Indigenous Business
• Cultural Tourism
• Economic Development
• +3 more

Keith Brown is a Professor in the Department of Organizational Management at Cape Breton University (CBU), located in Mi’kma’ki, the ancestral and unceded territory of the Mi’kmaw People. His work bridges Indigenous business principles, cultural tourism, and regional economic development. He has contributed extensively to understanding Indigenous entrepreneurship models, cultural authenticity in tourism, and economic transitions in Cape Breton. Research Interests: His primary focus lies in Indigenous economic sovereignty, the intersection of cultural heritage and tourism, and strategies for sustainable regional development. Notable projects include analyses of the Membertou Business Model and the governance dynamics of Aboriginal cultural tourism. Publications Overview: His research highlights themes of authenticity in cultural tourism, governance challenges in heritage sites, and the evolution of economic systems in island regions. Recent work explores Cape Breton University’s 50-year legacy and transitions from government-driven innovation to private-sector responsiveness. Advising & Grants: No specific advisee or grant information was provided in the text. His contributions are primarily through research publications and institutional leadership. Labs/Teams: While no specific lab affiliations are mentioned, his work aligns with CBU’s focus on community-engaged scholarship and Indigenous partnerships.

• Open Innovation
• Collaborative Innovation
• Inter-organizational Governance
• +4 more

Mehdi Bagherzadeh Niri is an Associate Professor of Innovation Management at NEOMA Business School, serving as Director of Research and Editor-in-Chief of Technovation . He holds a PhD (cum laude) in Management from ESADE Business School (2016). His research focuses on open innovation governance, crowdsourcing dynamics, and inter-organizational collaboration, with contributions to journals like Journal of Management and IEEE Transactions on Engineering Management . He leads the Research Center on Open Digital Innovation (RCODI) at Purdue University and advises projects funded by organizations including KPMG and Accenture. His work emphasizes practical applications of innovation strategies in public and private sectors. Educational Background: PhD in Management (ESADE Business School, 2016). Research Interests: Open innovation frameworks, collaborative governance models, digital transformation, and sustainability initiatives. Recent studies explore the role of social capital in team performance and strategic crowdsourcing approaches for governments. He has co-authored special issues on open innovation and serves on editorial boards of top-tier journals. Key engagements include collaborative projects with KPMG France, USC Institute for Communication Technology Management, and the Garwood Center for Corporate Innovation. His research often bridges academic insights with real-world business challenges, particularly in emerging markets and digital ecosystems.

• Cloud Computing Security
• Network Security
• Intrusion Detection
• +5 more

Mouad Lemoudden is a Lecturer in Cybersecurity at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University. He is affiliated with the Blockpass Identity Lab and the Centre for Cybersecurity, IoT and Cyberphysical Systems. PhD in Computer Science (2017) from Mohammed V University, Morocco Postdoctoral Researcher at Inria (2020) Research Interests revolve around data-centric tools in cybersecurity, including cloud security, network security, intrusion detection systems, adversarial behaviors, distributed ledger technology, digital identity, and privacy. His work explores quantum-enhanced cybersecurity analytics and graph-based threat modeling. Notable Publications include studies on post-quantum cryptography, graph theory in cloud security, and quantum machine learning for botnet detection. His research spans cloud logging standards, big data analytics, and identity federation challenges. Scientific Awards include recognition as an Associate Fellow of the Higher Education Academy (AFHEA). Supervision includes PhD projects on quantum machine learning for cybersecurity and metamaterials for sound insulation. Students under his guidance include Madjid Golparvaran Tehrani and collaborative projects with Dr. Nick Pitropakis and Prof. Bill Buchanan.

Zhisheng YanView profile

Associate Professor

• Immersive Computing Systems
• Cybersecurity in Virtual Reality
• Edge Computing
• +3 more

Zhisheng Yan is an Associate Professor in the Department of Information Science and Technology at George Mason University's School of Computing. He leads the Mason immErsive meDia computIng and Applications Lab (MEDIA Lab). Previously, he held an Assistant Professor position at Georgia State University and was a visiting researcher at Stanford University's Department of Electrical Engineering. He earned his PhD in Computer Science and Engineering from the State University of New York at Buffalo (2017). His research focuses on systems and security challenges in immersive computing systems, including VR/AR, imaging, and video systems. Key areas include latency reduction, cybersecurity, edge computing optimizations, and user authentication mechanisms. His work addresses real-world applications such as automated driving safety, medical training, and energy-efficient display technologies. Yan's research has garnered significant recognition, including the NSF CRII Award, ACM SIGMM Best PhD Thesis Award, and IEEE HealthCom’14 Best Student Paper Runner-up. His publications span topics like neural-enhanced video streaming, non-line-of-sight detection for autonomous vehicles, and privacy-preserving techniques in immersive environments. He actively participates in academic leadership roles, including co-directing the MS INFS Program at George Mason. His interdisciplinary approach integrates computer science, cybersecurity, and human-centered design to advance immersive technologies.

• Wireless Internetworking
• Middleware for Wireless Sensor Networks
• Packet Scheduling
• +7 more

Xiang Fei is an Assistant Professor in the Department of Computing at Coventry University, affiliated with the CEES School of Science. He holds a PhD in Computer Science and Engineering from Southeast University China (1999), following BSc (1992) and MSc (1995) degrees from the same institution. His research focuses on wireless internetworking, middleware for wireless sensor networks (WSN), and packet scheduling, with applications in data center optimization, machine learning, and cyber security. Professional Experience: Prior to his current role, Fei worked on European IST projects (WINE, Euro6IX) and the EPSRC-funded PROSEN project. He joined Cogent as a Research Fellow in 2008. He actively participates in academic events, organizing conferences like SENSORCOMM (2009-2011) and the International Conference on Automation and Computing (2010-2011). Research Interests: His work spans network analysis (community detection, graph embeddings), data stream processing, and cross-domain applications such as music information retrieval for stock market analysis. He has published extensively in IEEE journals and conferences, with notable contributions to nonnegative matrix factorization techniques and deep learning approaches for network problems. Teaching & Mentoring: Currently accepting PhD students in computing-related fields. His research has been supported by industry collaborations and grant-funded projects, reflecting his expertise in both theoretical and applied computing domains.

• Cybersecurity
• Data Leak Prevention
• Steganography
• +5 more

Dr. Abdulaleem Al-Othmani is a Senior Lecturer in Computer Science at De Montfort University (DMU), serving as Programme Manager for APU/DMU dual award computing programmes. He holds a PhD in Computer Science from Universiti Teknologi Malaysia (UTM) and has held academic roles at University Kuala Lumpur (UniKL) and Asia Pacific University (APU) in Malaysia. His research focuses on cybersecurity, including steganography, digital watermarking, data leak prevention, and machine learning applications in security. Education: BSc in Computer Engineering, University of Baghdad (2002) Master of Computer Science (Information Security), UTM (2010) PhD in Computer Science, UTM (2016) Research Interests: Data Leak Prevention frameworks for educational institutions Cybersecurity in IoT and telemedicine systems Machine learning-driven threat detection E-learning security during pandemics Biometric authentication systems for healthcare Awards & Grants: Principal Investigator: RM99,380 FRGS grant for data leak prevention (2020–2022) UTM International Doctoral Fellowship (2011–2012) Certificate of Excellence for PhD thesis (2016) Advising & Professional Roles: Supervised over 20 PhD/Master students and 50+ bachelor dissertations Current PhD supervision: Safari Ismail Mussa (web app vulnerability scanners) External Examiner for MSc programmes at Birmingham City University (2021) Member of IEEE, BCS, ACM, and AIS professional bodies He is affiliated with the Cyber Technology Institute (CTI) at DMU and contributes to editorial boards of journals/conferences.

Gianluca CiattagliaView profile

Assistant Professor

• Radar Signal Processing
• Automotive Engineering
• Aerospace Engineering
• +3 more

Gianluca Ciattaglia is an Assistant Professor (RTDa) in Electrical and Electronics Measurements at the Department of Electrical and Electronic Engineering, Università Politecnica delle Marche, Italy. Previously, he served as a Research Fellow at the same institution from 2022 to 2024 and worked at Ferrari S.p.A. as an Electronic Support Engineer for Formula 1 test teams (2018–2022). He holds a B.Sc. (2014), M.Sc. (2017), and Ph.D. (2021) in Electronic Engineering and Information Engineering from Università Politecnica delle Marche. His research focuses on radar-based measurement techniques for industrial, automotive, and aerospace applications, including radar signal processing, vibration analysis, and sensor fusion. He has contributed to projects involving drone detection, elderly telemonitoring, and automotive radar optimization. His work bridges theoretical advancements in signal processing with practical implementations in safety, health, and environmental monitoring. Publications span radar-based physiological sensing, autonomous drone identification, and mmWave radar applications in structural health monitoring. His recent work emphasizes machine learning integration with radar data for improved accuracy in activity recognition and environmental control systems. No scientific awards are explicitly listed, but his contributions to automotive and aerospace radar technologies reflect significant industry-academia collaboration. Professional activities include advising on radar sensor deployments and collaborating with automotive firms like Ferrari. His lab focuses on developing edge-node systems for real-time monitoring and smart environmental solutions. Current projects include optimizing radar configurations for energy efficiency and enhancing indoor air quality through smart ventilation systems.

Gemma JenkinsView profile

Lecturer

• Transforming health professions higher education
• Higher education assessment design and implementation
• Technology-enhanced learning
• +4 more

Gemma Jenkins is a Lecturer and Community and Public Health Nutrition domain leader in the School of Medical and Health Sciences at Edith Cowan University (ECU). She holds an Honours degree in Health Science from ECU and a Postgraduate Diploma in Dietetics from Curtin University. Her research focuses on transforming health professions education, assessment design, technology-enhanced learning, and nutrition practices in FIFO communities. She is currently pursuing a PhD investigating methods to enable educational change in higher education. Educational Background: Bachelor of Science (Nutrition), Curtin University Postgraduate Diploma in Dietetics, Curtin University Bachelor of Health Science (Honours), ECU (2014) Her teaching includes courses like Public Health Nutrition and Advanced Concepts in Nutrition. She emphasizes creating authentic learning environments and has contributed to improving clinical placement assessments through participatory design. Her awards include the 2017 Vice-Chancellor’s Staff Excellence Award for Teaching Excellence. Gemma supervises PhD research on validated assessment tools for dietitians’ engagement in quality improvement and nutrition in preschoolers with autistic behaviors. Her work bridges educational innovation and practical nutrition interventions, particularly in underserved populations like FIFO workers.

David NicholView profile

Assistant Professor

• Educational Pedagogy
• Teacher Preparation
• Academic Identity Development
• +3 more

David Nichol is an Assistant Professor of Education at Northumbria University, UK, and a Senior Fellow of the Higher Education Academy (SFHEA). His research focuses on academic identity development, collaborative pedagogies, and the use of simulations to enhance educator preparedness in higher and school education contexts. He leads academic development programs in the Post Compulsory Education and Training (PCET) sector and has been recognized with a Collaborative Award for Teaching Excellence (2024). **Education & Qualifications:** Bachelor of Arts (Hons) in Business Studies (1983) Master of Science in Business Information Technology (2003) Teaching & Learning PCAPL qualification (2007) Senior Fellow of the Higher Education Academy (2018) **Research Themes:** Simulation-based learning for teacher preparation Imposter phenomenon in early career academics Interprofessional education across health/social work/education sectors Student-staff partnerships in curriculum design **Key Contributions:** Pioneered 'SimulatEd' low-tech simulation scenarios for pre-service teachers Developed IVR tools for behavior management training Advocated communities of practice for academic identity support **Professional Activity:** Organized Advance HE Teaching and Learning Conference 2023. Active in staff development initiatives focusing on digital pedagogy and inclusive education practices.

Nicholas FelicioneView profile

Assistant Professor

• Tobacco Regulatory Science
• Addictive Behaviors
• Nicotine Dependence
• +3 more

Nicholas Felicione, PhD, is an Assistant Professor in the Department of Community Health and Health Behavior at the University at Buffalo's School of Public Health and Health Professions. His research focuses on tobacco regulatory science, examining interactions between tobacco use behaviors and product characteristics, particularly electronic cigarettes and alternative nicotine delivery systems. He employs laboratory studies, clinical trials, and population-level data analysis to assess health and addiction outcomes. Education: PhD in Psychology (Behavioral Neuroscience) from West Virginia University, MS in Psychology from WVU, and BA in Psychology/Political Science from SUNY Geneseo. Postdoctoral training at Roswell Park Comprehensive Cancer Center (2019-2020). Research interests include nicotine dependence, product regulatory frameworks, and public health policy implications of emerging tobacco products. Key topics include e-cigarette device characteristics, dual use patterns, and youth nicotine exposure. His work bridges behavioral science and public health to inform evidence-based regulatory strategies. Professional affiliations include the Society for Research on Nicotine and Tobacco. His research has explored device-specific dependence risks, consumer perceptions of tobacco branding, and validation of assessment tools for youth nicotine expectancy.

Marion KoelleView profile

Professor

• Human-Computer Interaction
• Wearable Technology
• Embedded and Embodied Systems
• +4 more

Dr. Marion Koelle is a Professor of Human-Computer Interaction at Hochschule RheinMain's Department of Design, Computer Science and Media in Wiesbaden, Germany. Previously, she led the Personal Pervasive Computing Group at OFFIS - Institute for Information Technology (2022-2025), was a Post-Doc at Saarland University, and held research positions at the University of Duisburg-Essen and Carl von Ossietzky University Oldenburg. PhD in Media Informatics (summa cum laude, University of Oldenburg 2019) M.Sc. in Media Informatics (LMU Munich 2013) B.Sc. in Media Informatics (LMU Munich 2010) Her research focuses on designing sustainable, ethical, and socially acceptable wearable/embodied technologies , with particular emphasis on: Co-designing technologies with diverse audiences Interactive bioplastics and biomaterials Privacy-preserving wearables Electrical Muscle Stimulation applications Body-based interfaces Digital fabrication for wearable tech Recent work includes biohybrid devices (UIST'23), 3D-printed haptics (ACM Trans. Hum. Robot Interact. 2025), and women's health data sovereignty (CHI'24). Her publications on social acceptability and privacy in wearables have received multiple awards including the Digital Female Leader Award 2024 . She has collaborated with leading institutions like: Saarland University (HCI Lab) OFFIS - Institute for IT University of Oldenburg TU Munich (FAR Group) Her projects often involve international partnerships and have been exhibited at Dutch Design Week (2024) and ESC Medien Kunst Labor (2024). Marion Koelle's work balances technical innovation with human-centered ethics , seeking to create technologies that empower users while respecting social norms.

Mingkui WeiView profile

Associate Professor

• Network Security
• Cybersecurity
• Application Layer Threats
• +5 more

Mingkui Wei is an Associate Professor at the Department of Cyber Security Engineering , George Mason University (Fairfax campus). His research focuses on network security, particularly application-layer threats, using mathematical modeling, simulation, and machine learning to combat cyber threats. Previously, he held a faculty position in Computer Science at Sam Houston State University before joining George Mason in 2021. Education: PhD in Computing Engineering, North Carolina State University (2016) MS in Information Systems, Southeast University (China, 2008) His research interests span cutting-edge cybersecurity domains including serverless computing vulnerabilities, CDN-assisted attacks, biometric authentication systems, and smart grid security. Notable contributions include analyzing adversarial hidden link threats via large language models and developing defenses against Wi-Fi spoofing using geolocation APIs. His work also addresses cache exploitation risks and real-time latent fingerprint analysis using smartphones. Recent publications (2021–2024) highlight trends in serverless computing security , CDN exploitation , and web application hardening . Major themes include mitigating DoS attacks through function-level exploitation, enhancing CDN-based geolocation security, and improving phishing detection via machine learning. Awards: No awards explicitly mentioned in the provided text. Advising & Grants: No advising/grant details provided. His research has been published in top-tier venues like IEEE INFOCOM, Usenix Security, and ACM CCS. Labs/Teams: Active in the Cyber Security Engineering research community at George Mason University.

• Human-Computer Interaction
• Gesture Recognition
• Child-Computer Interaction
• +5 more

Lisa Anthony is a Professor affiliated with the University of Florida, specializing in Human-Computer Interaction (HCI) with a strong focus on gesture recognition, touchscreen interfaces, and child-computer interaction. Her research emphasizes the design of user-centered technologies for diverse populations, including children, older adults, and individuals with disabilities. Key contributions include studies on children's touchscreen interaction patterns, multimodal authentication systems, and mHealth applications for behavior change. Her work spans over two decades, with publications in top-tier venues such as CHI, ICMI, and IEEE Transactions. Notable projects include the MTAGIC initiative exploring child motion characteristics, the design of MyTrack+ for weight management, and studies on spherical interfaces. She collaborates extensively with researchers in computer science, education, and healthcare to address real-world challenges in technology accessibility and usability. Lisa's research has implications for improving educational tools, healthcare apps, and collaborative learning environments. While no grants or awards are explicitly listed, her prolific publication record underscores her sustained contributions to HCI and related fields.

Deborah CockerhamView profile

Assistant Clinical Professor

• AI in education
• Human relationships with technology
• Learning disabilities interventions
• +4 more

Dr. Deborah Cockerham is a Clinical Assistant Professor at the University of North Texas, serving as Director of the Masters in Science Program. She holds a PhD in Learning Technologies with a specialization in Behavioral Science and an MS in Mind, Brain, and Education from the University of Texas at Arlington. Her research focuses on AI in education, neurodiverse learners, and immersive technologies. Dr. Cockerham has directed the Fort Worth Museum of Science and History's Research and Learning Center and served as a Visiting Research Scholar at Texas Christian University. She has secured over $20,000 in recent grants including seed funding for AI in mathematics education and workforce development for individuals with autism. Her work has been recognized with awards such as the COI Faculty Excellence Award and John Cotton Dana Leadership Award. Research interests include: AI integration in pedagogy, socioemotional well-being in digital environments, neuroscience-based interventions for learning disabilities, and inquiry-based learning strategies. Her recent publications explore participatory action research, virtual reality impacts, and adolescent smartphone usage studies. She co-edited the 2023 Springer volume Reimagining Education , addressing evolving digital learning practices. Grants: $10,000 UNT Seed Fund (2024), $10,000 Lupe Murchison Award (2023) Awards: 2023 COI Excellence, 2020 Dana Leadership, LASER Scholar (2023-24) Key collaborations: Texas Christian University, Fort Worth Museum Dr. Cockerham's work bridges neuroscience, technology, and education to support neurodiverse populations. She actively promotes inclusive pedagogical practices and community-university partnerships through initiatives like regional youth summits and museum-based research programs.