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 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 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 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.
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.
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.
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.
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 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.
Tom Elliott serves as Associate Director for Digital Programs and Senior Research Scholar at New York University, alongside his role as Adjunct Assistant Professor. He holds a BS in Computer Science and Classical Studies from Duke University (1989), an MA (1997) and PhD (2004) in Ancient History from UNC Chapel Hill. His career spans software development, military service, and academic leadership in digital humanities. Elliott specializes in digital geography, epigraphy, and ancient administrative studies. He pioneered projects like the Barrington Atlas gazetteer, co-founded the EpiDoc community for digital text encoding, and directed the Ancient World Mapping Center. His current work focuses on the Pleiades gazetteer, integrating archaeological data with open-source digital methodologies. His publications emphasize digital tools' impact on classical scholarship, including seminal works on GIS applications and digital epigraphy. He actively mentors scholars and students in computational methods, shaping the field's trajectory through collaborative initiatives like Papyri.info and IOSPE.
Hayley Manalang Ko is a PhD Research Fellow affiliated with the Norwegian Dental Service Competence Centre East (TkØ) and OsloMet – Oslo Metropolitan University. Her work focuses on forensic odontology, child protection mechanisms, and healthcare professional training. She is part of the Orchid project investigating forensic examinations involving children exposed to violence/abuse, and the ILMA project developing e-learning tools for forensic interviews. Education: Master's in Forensic Psychology (Royal Holloway, University of London) and ongoing Social Sciences studies at OsloMet. Research interests span forensic psychiatry, healthcare administration, and AI applications in clinical training. Key projects include AI-driven child chatbot avatars for medical professional training and comparative studies on virtual interview environments. Publications emphasize gaps in medical/dental interview techniques, co-occurrence of dental diseases, and secondary traumatization in criminal justice roles. Dissemination activities include workshops at State Children's Homes on communication strategies during forensic examinations. Active in research groups like the Next Generation Avatar for Information-Gathering Interviews (ARGI).
Prof. Dr. Martin Erdmann is a University Professor of Experimental Physics (High Energy Physics) at RWTH Aachen University, affiliated with the Department of Physics within the Faculty of Mathematics, Computer Science and Natural Sciences. He leads research in high-energy particle physics through the CMS experiment at CERN and the Pierre Auger Observatory in Argentina. His work integrates cutting-edge digital methods, including deep learning and cloud-based data analysis via the VISPA platform. PhD, University of Freiburg (1990) Habilitation, University of Heidelberg (1996) Heisenberg Fellow at DESY and University of Karlsruhe (1997–2002) Professor at RWTH Aachen since 2004 His research interests span Higgs and top-quark physics, cosmic ray detection, radio-based shower measurement, and AI-driven data analysis. He actively contributes to physics education through textbooks and open-access video lectures. His recent publications reflect strong trends in applying deep learning to particle and astroparticle physics, particularly in event reconstruction and simulation. He leads major initiatives like the ErUM-Data-Hub and DIG-UM, advancing digital transformation in fundamental research. Heisenberg Fellowship (DESY and Karlsruhe) Chair, DPG Working Group on Physics, Modern IT, and AI (2019–2021) Project Leader, ErUM-Data-Hub (since 2021) Chair, DIG-UM Community Organization (2021–2024) Prof. Erdmann advises students at all levels and fosters innovation in data science for physics. He has secured leadership roles in international collaborations and promotes sustainable, resource-aware computing in research. His lab develops advanced detector technologies and simulation tools like CRPropa for cosmic ray propagation. Future work includes probing Higgs self-coupling, identifying cosmic ray sources, and refining AI models for physics discovery.
Morris Siu-Yung Jong is a Professor at The Chinese University of Hong Kong's Faculty of Education, Department of Educational Administration and Policy. With over 100 publications from 2006 to 2025, he has established himself as a leading researcher in educational technology, particularly focusing on innovative applications of virtual reality, artificial intelligence, and game-based learning in formal education settings. His work bridges theoretical frameworks with practical classroom implementations, making significant contributions to how technology enhances teaching and learning experiences. Professor Jong's research interests span multiple cutting-edge domains in educational technology. He has pioneered work in spherical video-based virtual reality (SVVR) applications for education, developing frameworks for immersive learning experiences that transform traditional classroom instruction. His research on AI in education, particularly examining ChatGPT's impact on student engagement and language learning, positions him at the forefront of understanding how emerging technologies reshape educational practices. Additionally, his extensive work on game-based learning, flipped classroom methodologies, and STEM education integration demonstrates a comprehensive approach to technology-enhanced learning across multiple educational contexts and age groups. Analysis of Professor Jong's recent publications reveals a clear progression from foundational work in game-based learning to more sophisticated applications of immersive technologies. His research increasingly focuses on AI integration in educational settings, with a significant portion of his 2023-2025 publications examining ChatGPT's educational applications. The methodological approaches in his work have evolved from basic implementation studies to more sophisticated designs incorporating hierarchical linear modeling, longitudinal analyses, and systematic reviews, demonstrating growing methodological rigor and impact across the educational technology field. Professor Jong has made substantial contributions to educational research through his extensive publication record in top-tier journals including Computers & Education, British Journal of Educational Technology, and Educational Technology & Society. His work has significantly influenced how educators implement virtual reality, AI, and game-based approaches in classrooms worldwide. His research on teacher concerns, implementation challenges, and pedagogical frameworks provides crucial insights for successful technology integration in formal educational settings. Through his supervision of numerous research projects and collaborations with scholars worldwide, Professor Jong has fostered a robust research ecosystem focused on advancing educational technology. His work on design-based research approaches has provided valuable methodological frameworks for studying technology implementation in authentic educational contexts. His recent focus on AI in education positions him as a key contributor to understanding how emerging technologies can be effectively integrated into teaching and learning processes. Professor Jong's research laboratory focuses on immersive learning environments, with particular emphasis on spherical video-based virtual reality applications. His team has developed several innovative frameworks for implementing VR in educational settings, addressing both technical and pedagogical challenges. Current projects appear to focus on AI integration with immersive technologies, exploring how generative AI can enhance virtual learning experiences and support student engagement across various subject areas.
Popescu-Belis Andrei serves as an Associate Professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO), specifically within the Institute of Information and Communication Technologies (IICT) at HEIG-VD campus in Yverdon-les-Bains. His academic work spans teaching computer science fundamentals and advanced natural language processing concepts across both undergraduate and graduate programs. His research interests focus on Natural Language Processing , Machine Translation , and Human-Machine Dialogue systems, with particular emphasis on low-resource language scenarios. His work addresses challenges in speech-to-speech translation, subword tokenization, neural machine translation optimization, and creative applications like poem generation. Recent publications through 2025 demonstrate his ongoing contributions to the field, particularly in multilingual NMT training schedules and low-resource language processing pipelines. Analysis of his 15 most recent publications reveals consistent focus on practical solutions for language barriers, with increasing attention to reinforcement learning applications and creative language generation. His work on GPoeT demonstrates the intersection of traditional literary forms with modern language models, while his research on low-resource translation pipelines addresses real-world community interpreting needs. He has led significant research projects including Digital Lyric (2019-2020), a collaboration with UNIL (University of Lausanne) to develop systems for aiding poem generation for a public exhibition at Morges Castle. This project demonstrates his interdisciplinary approach bridging computational linguistics with creative applications. His academic contributions include: Development of specialized training pipelines for low-resource neural machine translation Innovative approaches to speech-to-speech translation for community interpreting Novel methods for constrained language model applications in creative writing Significant contributions to understanding subword tokenization mechanics Popescu-Belis maintains active research collaborations across institutions, as evidenced by his work with UNIL and various international conference publications. His teaching portfolio includes courses in natural language processing, data preparation, unsupervised machine learning, and computer science fundamentals, demonstrating his commitment to both theoretical and practical aspects of the field.
Henrik Engström is a Professor of Informatics at the University of Skövde, affiliated with the School of Informatics and Department of Information Technology. He holds a PhD in Computer Science from the University of Exeter. His research focuses on game development processes, serious games, and interdisciplinary collaboration in game design. Engström has led multiple projects, including the Game Tech Academy and Sweden Game Arena initiative, aiming to leverage game technology for societal challenges in health, education, and industry. He coordinates the Game Development Master's Programme and has published extensively on topics like game analytics, inclusive design, and mobile game publishing strategies. His work often bridges academia and industry, emphasizing practical applications in training simulations and healthcare. Education: PhD in Computer Science (University of Exeter) Key Projects: Sweden Game Arena, Game Hub Scandinavia, Digital Parental Support Tools Research Interests: Game design processes, serious games for health, inclusive game development, and mobile game business models Engström’s research outputs span over two decades, with notable contributions to understanding game development challenges, stress detection in games, and the application of AI in game narratives. His book Game Development Research (2020) synthesizes empirical insights from industry practices. He collaborates internationally, including with Japanese and Scandinavian institutions, to advance educational game models and industry-academia partnerships. His articles highlight trends in data-driven decision-making for indie game publishers, the psychological impact of game design on player experiences, and leveraging game jams for addressing heavy societal topics. Engström also leads grants focused on digital health tools for expecting parents and sustainable urban planning via game-based participation. Labs/Teams: Key contributor to the Sweden Game Conference and collaborator with Game Tech Academy, fostering innovation in game-based solutions for societal challenges.
