Find Academic Supervisors

Norah LorwayView profile

Assistant Professor

• Artificial Intelligence
• Music
• Live Coding
• +3 more

Dr. Norah Lorway is an Assistant Professor at the RTA School of Media, Toronto Metropolitan University. She specializes in artificial intelligence and music research, film composition, and live coding performance. With a PhD in Computer Music & Human-Computer Interaction from the University of Birmingham, her work bridges technology, health care, and creative expression. Her research spans artificial intelligence applications in music and healthcare, digital sound design, and human-computer interaction. Key projects include developing AI assistants for dementia care with the NHS and co-creating the Scorch music programming language. Education: BMus, Piano Performance, Mount Allison University Masters, Music Computing, University of Calgary PhD, Computer Music & Human-Computer Interaction, University of Birmingham Postdoc, University of British Columbia Awards: 18 Women Composers You Should Know (Sundance Institute, 2019) Cinema Eye Honors Nominee (2020) Immersion Fellowship, South West Creative Technology Network (2018) She co-founded the Studio for Creative Artificial Intelligence and has two software companies. Her artistic works have been featured globally, including TIFF and Sundance festivals.

Regina Kaplan-RakowskiView profile

Assistant Professor

• Immersive Learning Environments
• Artificial Intelligence in Education
• Computer-Assisted Language Learning
• +5 more

Regina Kaplan-Rakowski is an Assistant Professor in the Department of Learning Technologies at the University of North Texas. Her research focuses on immersive technologies like virtual reality (VR), artificial intelligence (AI), and computer-assisted language learning. She holds a PhD in Curriculum and Instruction from Southern Illinois University (2016), an MA in Foreign Languages (2006), and an MEd in European Studies (2001) from Pedagogical University, Cracow. Her research interests include VR applications in education, emotional responses to technology, and second language acquisition. Notable projects explore VR for social isolation mitigation, AI-mediated language learning, and accessibility for visually impaired learners. She has co-edited multiple books on educational technology, including pandemic-era teaching strategies and AI-driven innovations. Recent publications highlight VR’s impact on language anxiety reduction, AI integration in teacher training, and the effectiveness of immersive technologies in vocabulary and listening comprehension. Her work bridges theoretical insights with practical applications, influencing both classroom practices and technology design.

Mohsen AminiView profile

Associate Professor

• Cloud Computing
• Artificial Intelligence (AI)
• Domain-Specific Cloud Computing
• +7 more

Mohsen Amini is an Associate Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT). He previously held tenured positions at the University of Louisiana Lafayette (UL Lafayette) and completed postdoctoral research at the University of Miami and Colorado State University. His research focuses on Cloud 2.0 systems, AI-friendly serverless architectures, and domain-specific computing for Industry 4.0, multimedia, and edge-to-cloud integration. He leads the High Performance Cloud Computing (HPCC) Lab and has attracted over $2.7 million in research funding, including an NSF CAREER Award (2021). His work emphasizes democratizing cloud-native development and enhancing system resilience through heterogeneous computing frameworks. Education: Ph.D. in Computing and Software Engineering, University of Melbourne (2012) M.Sc. in Software Engineering, Ferdowsi University (2006) B.Sc. in Software Engineering, Azad University (2003) Research Interests: Cloud+AI Integration Fluid Computing across Edge-to-Cloud Continuum Domain-Specific Cloud Platforms (e.g., Industry 4.0, Multimedia) Confidential Computing Security Awards: NSF CAREER Award (2021) Best Service Award at IEEE/ACM CCGrid 2023 Francis Patrick Clark/BORSF Endowed Professorship (2021–2024) Grants & Projects: NSF IRES Track 1: Wireless Federated Fog Computing for Remote Industry 4.0 ($400k grant) NSF CAREER: Special-Purpose Cloud for Serverless Multimedia Streaming ($513k grant) SmartSight: AI-Based Platform for Visually Impaired Assistance ($499k grant) Teaching & Advising: Current advising 5 PhD students and leading a team of 25+ researchers Teaches courses on Cloud Computing, Distributed Systems, and Software Engineering Lab & Collaborations: HPCC Lab develops open-source tools like the E2C simulator and OaaS framework. Active collaborations with institutions like IMDEA Networks and industry partners like Hub Enterprise Inc.

• Digital Forensics
• Network Security
• Artificial Intelligence
• +3 more

John Sheppard is a Lecturer in the Department of Computing and Mathematics at South East Technological University. His research focuses on digital forensics , AI applications in cybersecurity , and network intrusion detection . His expertise spans forensic methodologies and the ethical implications of generative AI in investigations. Research interests include: AI-driven forensic analysis techniques Resource-constrained security systems Multimedia evidence processing Recent publications (2023-2024) demonstrate a strong emphasis on AI-enhanced cybersecurity solutions and innovative forensic geolocation methods . Work explores limitations and opportunities in applying large language models to digital investigations.

• Neuroscience
• Cognitive Science
• Neuroimaging
• +7 more

Giacomo Handjaras is an Assistant Professor at the IMT School for Advanced Studies Lucca, affiliated with the MOMILAB research group. His work focuses on neuroimaging, sleep neurophysiology, affective neuroscience, and brain structure-function relationships. He explores topics such as neural correlates of emotions, sleep dynamics, and motor control mechanisms using advanced methodologies like EEG, fMRI, and computational linguistics. Research interests include: (1) Sleep architecture and slow-wave subtypes linked to thalamic activity, (2) Multisensory integration in perception and action, (3) Neuroplasticity in sensory restoration, (4) Computational analysis of dream semantics, and (5) Telemedicine applications in cardiac rehabilitation. His studies often integrate behavioral, neuroimaging, and computational approaches. Recent publications highlight trends in sleep-brain interactions, affective processing across modalities, and neural mechanisms underlying communication deficits. He has contributed to understanding the role of thalamic regulation in sleep stages and the impact of sensory deprivation on brain organization in congenitally blind individuals. His work bridges basic neuroscience with clinical applications in rehabilitation and cardiovascular health.

• Parallel and Distributed Systems
• Peer-to-peer Systems
• Large-scale Distributed Systems
• +5 more

Charalambos Papadakis is an Assistant Professor at the Department of Electrical and Computer Engineering (E.M.E.) of the Hellenic Mediterranean University (EL.ME.PA). His research focuses on Distributed Services and Networks. He holds a PhD from the University of Crete's Department of Computer Science, with a thesis titled "Improving Routing in Unstructured Peer-to-Peer Systems". He earned his B.A. in Computer Science (University of Crete, 2000) and M.A. in Computer Engineering (University of Patras, 2004). Teaching responsibilities include undergraduate courses like "Computer Networks II", "Distributed Systems and Clouds", and "Big Data", as well as postgraduate courses such as "Distributed Systems and Applications". He collaborates with the MNCLab (Multimedia, Networks and Communications Laboratory) at the University of Athens, focusing on Network and Distributed Systems research. Papadakis has authored over 30 publications in international journals/conferences, achieving an h-index of 8 and i10-index of 7. His research spans blockchain systems, graph analysis, and peer-to-peer networks. He actively reviews for academic conferences and journals and has led numerous EU/National R&D projects.

Yu LiangView profile

Lecturer

• Computer Vision
• Machine Learning
• Image Processing
• +4 more

Dr. Yu Liang is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on advancing computer vision and machine learning techniques, particularly in video generation, image restoration, and event-based systems. He specializes in developing innovative frameworks for tasks like motion-aware video synthesis, low-light image enhancement, and diffusion models applied to multimedia processing. Key research interests include hierarchical information flow architectures, transformer-based networks, and scalable solutions for real-world imaging challenges. His work emphasizes practical applications of generative models and cross-modal fusion techniques to achieve high-quality visual outputs. Dr. Liang has contributed extensively to the field through publications on topics such as Fractal-IR for image restoration, Uni3C for 3D-enhanced video generation, and event-based frame interpolation. His research often bridges theoretical advancements with practical implementations, addressing issues like temporal coherence, motion deblurring, and adaptive illumination estimation. Although no specific academic awards are listed, his prolific publication record (over 20+ papers since 2019) highlights his active role in the academic community. His work has led to impactful datasets like Lsdir and frameworks like SwinIR, demonstrating strong contributions to both methodology and infrastructure in computer vision.

Jessica Sze Yin HoView profile

Associate Professor

• Digital Marketing
• Social Media Marketing
• E-commerce
• +4 more

Jessica Sze Yin Ho is an Associate Professor and Senior Fellow of the Higher Education Academy at Heriot-Watt University , where she serves in the School of Social Sciences as Associate Head and Programme Director of MA (Hons) Marketing in the Department of Marketing and Operations . She is a prolific researcher in digital marketing, social media, and sustainable consumption, with over 20 publications and multiple international awards. PhD in Marketing (Multimedia University, Malaysia) MPhil in Management (Multimedia University, Malaysia) BBA in Marketing (Multimedia University, Malaysia) Research Interests span Digital Marketing , Social Media Strategy , E-commerce , Sustainable Consumer Behavior , and Service Quality , with a focus on technology adoption and higher education quality. Her recent work explores Live Streaming Commerce , TikTok’s role in Cultural Heritage Promotion , and the Dark Side of Celebrity Endorsements . Her 15 most recent publications (2025–2020) analyze audience engagement , privacy dynamics in virtual streaming , sentiment analysis , and augmented reality applications across sectors like museums, tourism, and finance. Awards include multiple Best Paper and Best Reviewer recognitions from global marketing conferences. Collaborations include industry-funded projects on talent management and services marketing . She also mentors colleagues toward Senior Fellow of AdvanceHE status and contributes to UN Sustainable Development Goals through research on sustainable consumption and education.

Peter PurgathoferView profile

Associate Professor

• Human-Computer Interaction
• UX Design
• Human-Centered Informatics
• +6 more

Peter Purgathofer is an Associate Professor at Vienna University of Technology (TU Wien), Faculty of Informatics, where he works within the Institute of Design and Assessment of Technology, specifically in the Human-Computer Interaction group. He serves as coordinator for the Media Informatics bachelor and master programs and has been actively involved in teaching and research since 2005. Dr. Purgathofer's research centers around the interplay between design and software development, particularly focusing on the role and place of design in software engineering. He identifies as an "experience designer" in the sense described by Bill Buxton's book "Sketching User Experiences." His work spans Human-Computer Interaction, UX Design, Human-Centered Informatics, Game Design with a focus on Positive Impact Games, Digital Culture and Learning, and the societal implications of Informatics. He has a strong interest in the co-development of technology and society, with particular attention to sustainability and resilience. His publication record shows a consistent focus on bridging theory and practice in design methodology, with recent work emphasizing educational applications, social implications of technology, and the philosophical foundations of informatics as a discipline. His research often takes a transdisciplinary approach, connecting insights from computer science, design, education, and social sciences. Award of distinction at the Prix Ars Electronica 2000 in the category .net for the project Telezone Dr. Purgathofer has founded and led the UID-Lab (1996-2004), a cooperation with GP Design Partners, and co-founded the Positive Impact Games Lab (PigLAB) in 2012 with Fares Kayali. He is also the creator of the podcast "Peter Purgathofer spricht mit..." where he discusses topics from shared fields of expertise with outstanding individuals. He serves on the board of trustees at the European Forum Alpbach since 2016. His laboratory work includes the Positive Impact Games Lab (PigLAB), which serves as a breeding ground for research and design projects around game-based applications. He's also involved in the Aurora project, which explores new ways to organize and conduct teaching without traditional constraints. Current research projects include Way·Key (tools for people with inchoate dementia), Sparkling Games (game-based learning for 14-18 age bracket), and various educational technology initiatives.

Winslow BurlesonView profile

Professor

• Human-Computer Interaction (HCI)
• Robotics
• Assistive Technology
• +5 more

Winslow Burleson is a Professor at the University of Arizona's School of Information, specializing in Human-Computer Interaction (HCI), Robotics, and Assistive Technology. His research focuses on developing innovative systems for education, healthcare, and marine engineering. Notable projects include the DRESS system for dementia care, CrowdMuse for collaborative creativity, and underwater robotics interfaces. He has received the James Chen Annual Award for Best Journal Article (2012) and leads interdisciplinary teams in cyberlearning and adaptive tutoring systems. Education background includes advanced studies in computer science and engineering, though specific details are not provided. His work integrates robotics, affective computing, and smart environments to address real-world challenges such as aging, education, and environmental exploration. Research interests span robotics applications in education (e.g., co-robotic learning agents), assistive technologies for independent living, and multimodal learning environments. His contributions include adaptive systems for creative crowdsourcing, emotion-aware tutoring platforms, and underwater human-robot interaction frameworks. Current projects emphasize scalable crowd ideation tools and sensor-driven behavior change interventions. Awards include recognition for impactful journal contributions, while grants fund initiatives like cyberlearning with teachable robots and precision oncology IT tools. Advising and grant activities are central to his academic contributions, though specific student names are not listed. Collaborations involve cross-disciplinary teams in engineering, healthcare, and arts to create impactful technologies. Burleson's lab focuses on developing responsive emotive systems, wearable assistive devices, and immersive multimedia applications. Ongoing work explores scalable solutions for dementia support, marine technology interfaces, and creative human-computer interaction paradigms.

Haiming LiuView profile

Associate Professor

• User-Centred Interactive Information Access
• User Preference and Behaviour Modelling
• Multimedia Information Retrieval
• +3 more

Dr. Haiming Liu is an Associate Professor at the School of Electronics and Computer Science (ECS) at the University of Southampton. She leads the Centre for Machine Intelligence and contributes to research, teaching, and supervision across undergraduate and postgraduate levels. Her work focuses on user-centered interactive information access technologies, integrating interdisciplinary approaches from Computer Science, Psychology, and Social Sciences. Dr. Liu earned her PhD in 2010 from The Open University’s Knowledge Media Institute, researching user interaction with content-based image retrieval systems. Her career includes roles at the University of Bedfordshire and University of Central Lancashire before joining Southampton in 2022. Her research spans applications in E-Health, E-Learning, and Digital Humanities, emphasizing user preferences and behavior modeling. She currently supervises six PhD students and actively recruits new candidates. She is also involved in projects like the 'Image-based Conversational Search for Users with Intellectual Disability.' Dr. Liu’s teaching responsibilities include computer science modules, and she maintains an active research profile with publications in journals like Materials Characterization and conferences on inclusive design.

• Human-Centered Computing
• Data Management and Data Science
• Applied Computing
• +4 more

Professor Tuck Wah Leong is Deputy Dean (Learning & Teaching) at RMIT University's School of Computing Technologies. His research focuses on human-centered computing, data science, and applied computing with particular emphasis on narrative visualization, healthcare communication, and inclusive technology design. Leong has contributed significantly to understanding usability challenges in self-service technologies and virtual training systems. His work bridges academic research with practical applications, addressing issues like queer youth experiences on social platforms and ethical considerations in AI-driven self-care tools. Leong collaborates across disciplines to develop innovative solutions for diverse populations including Indigenous communities and elderly users. His recent studies explore the impact of immersion levels in VR training and the role of generative AI in mental health support systems. Leong maintains active engagement in educational technology, co-designing tools like XRAuthor for immersive learning content creation. His research consistently emphasizes participatory methodologies to ensure technologies align with user needs and societal values.

Joi L. MooreView profile

Professor

• Educational Technology
• Usability Design
• E-Learning
• +5 more

Dr. Joi L. Moore serves as Associate Dean for Engagement & Outreach in the College of Education & Human Development and holds a Professorship in the School of Information Science & Learning Technologies at the University of Missouri. She is also affiliated with the MU Institute for Data Science & Informatics and the Black Studies Department. With a B.S. and M.S. from North Carolina State University and a Ph.D. in Instructional Technology from the University of Georgia, her expertise spans Learning Design, E-Learning, and Usability. Over 25 years of experience in instructional materials and digital media development underscores her contributions to educational technology. Her professional service includes presidential roles in the Minorities in Media Affiliate and the Association for Educational Communications and Technology (AECT). Research focuses on Electronic Performance Support Systems, Interactive Learning Environments, and Human-Computer Interaction in web application design. Notable projects include health informatics initiatives like medication timeline visualization and patient-centered clinical documentation. Educations: B.S. Computer Science, North Carolina State University M.S. Management (MIS), North Carolina State University Ph.D. Instructional Technology, University of Georgia Research Themes: Educational Technology & Usability Patient-Centered Health IT Cultural Competency in Digital Spaces Adult Learning & Professional Development Awards: Her leadership roles in national associations reflect her impact on educational technology policy and practice. Advising/Grants: Extensive mentorship and project management experience in educational technology projects, including agile methodologies for mobile applications. Labs/Teams: Active in MU’s Data Science Institute and interdisciplinary health informatics collaborations.

• Computer Science
• Creativity
• Artificial Intelligence
• +3 more

Konstantinos (Kos) Zachos is a Research Fellow at Bayes Business School, City, University of London, and serves as Chief Technology Officer (CTO) for CebAI (National Centre for Creativity enabled by AI) and JECT.AI, a university spin-out. His primary research focuses on computer science and creativity, developing digital tools to enhance creative problem-solving across sectors including journalism, sports, healthcare, and manufacturing. He holds a PhD from City, University of London (2004–2007). Employment History: Chief Technology Officer, City, University of London (Oct 2020–present) Research Fellow, City, University of London (Oct 2007–present) Research Interests: AI-driven creativity tools Information retrieval and NLP applications Design thinking for innovation Technology adoption in non-creative industries His work emphasizes practical applications, such as JECT.AI’s AI tools for journalism and CebAI’s focus on creativity enhancement. Key Projects: Designing digital tools for elite sports coaching (e.g., C&C '22) AI systems for newsroom creativity (C&C '22, Computation + Journalism 2020) Health-and-safety tools for manufacturing (CHI '17) Mobile apps for dementia care (CHI '13) Advising & Grants: Over 15 years of academic-industry collaboration Principal investigator for CebAI (funded by Research England) Experience in EU and national research grants Labs & Teams: CebAI National Centre QUEST Research Group JECT.AI Development Team

Ivan Adriyanov NikolovView profile

Assistant Professor

• Computer Graphics
• Computer Vision
• Augmented Reality
• +6 more

Ivan Adriyanov Nikolov is an Assistant Professor at the Department of Architecture, Design and Media Technology within Aalborg University's Technical Faculty of IT and Design. He specializes in Computer Graphics, Computer Vision, and Augmented Reality, with a focus on 3D reconstruction techniques like Structure-from-Motion (SfM). His work bridges academic research and industrial applications, particularly in wind turbine blade inspection and educational technology. His educational background includes contributions to computer science education through innovative teaching methods. He has led projects like 'Drone Application for Pioneering Reporting in Wind Turbine Blade Inspection' (2017–2019) and 'Leading Edge Roughness - Wind Turbine Blades' (2015–2019), advancing drone-based inspection and 3D modeling for wind energy sectors. Research interests include synthetic data generation, environmental monitoring datasets (e.g., BrackishMOT, DigiWeather), and improving VR/AR user experiences. He has developed tools for dynamic lighting in pixel art games and multimodal guardian systems in VR. His datasets, such as Sewer Defect Point Clouds and Wind Turbine Blade SfM Reconstructions, are publicly available for academic use. He actively contributes to educational innovation, such as flipped classroom strategies to boost programming class engagement. His interdisciplinary approach spans computer graphics, AI-driven NPC interactions, and collaborative mixed-reality games for trust-building. Labs/Teams: Member of the Computer Graphics Group and Visual Analysis and Perception team at Aalborg University. Collaborates with industry partners on drone technology and environmental surveillance systems.