Find Academic Supervisors

• Human-Computer Interaction
• Artificial Intelligence
• Creativity Support Tools
• +3 more

Joel Chan is an Affiliate Assistant Professor in the Department of Computer Science at the University of Maryland, specializing in human-computer interaction and artificial intelligence research with applications in scholarly communication and design innovation. His work bridges computational systems and human cognitive processes to enhance knowledge work. His research portfolio emphasizes: Scholarly sensemaking and knowledge synthesis infrastructure Generative AI for hypothesis exploration and analogical reasoning Cross-disciplinary translation tools using computational linguistics Biologically inspired design systems and creativity support Human-AI collaboration in visual data analysis and programming Recent publications (2023-2025) demonstrate a decisive shift toward integrating large language models into scholarly workflows, particularly for structured hypothesis exploration and cross-domain analogical inspiration. His systems like CausalMapper and AnalogiLead exemplify practical implementations that transform theoretical frameworks into usable tools for researchers and designers. Building on foundational work in analogical innovation (2010-2022), Chan's research trajectory shows consistent evolution from studying example-based problem-solving to developing AI-augmented environments that mitigate cognitive limitations in complex knowledge tasks, with significant implications for academic practice and creative industries.

• Adaptive Systems
• Human-Computer Interaction (HCI)
• User Modelling
• +3 more

Dr Craig Stewart is an Associate Professor in the Department of Computer Science at Durham University and serves as MDS Director in the Faculty of Science. He holds a doctoral degree from the University of Nottingham (2012), focusing on adaptive multimedia interfaces in eLearning. His research explores adaptive systems, human-computer interaction (HCI), user modeling, personalized learning, and cultural dimensions in education. Stewart has contributed to frameworks like CAE-L and WHURLE, emphasizing cross-cultural adaptation and ethical implications of personalization technologies. He has advised postgraduate student Arwa Al Saqaabi and collaborated with institutions like FutureLearn on MOOC dropout prediction studies. His work integrates interdisciplinary approaches, combining engineering, arts, and programming to enhance STEAM education. He also explores immersive virtual reality's impact on learning through mixed-methods studies. Education Track: Completed his PhD in 2012 at the University of Nottingham. Prior research includes studies at the University of Nottingham and other institutions, reflecting his long-standing engagement in adaptive learning systems development. Research Interests: Stewart's work addresses cultural barriers in online education, adaptive hypermedia systems, and gamification strategies. He has investigated internationalization of learning resources, authoring tools for personalized courseware, and the role of learning styles in system design. His recent projects include analyzing MOOC engagement patterns and developing taxonomies for measurable learner outcomes. Advising & Grants: Supervised postgraduate student Arwa Al Saqaabi. His research has been supported through collaborations with academic and corporate partners in fields like ontology development and workplace learning solutions. Grants and funding details are not explicitly listed in the provided texts. Labs/Teams: While specific lab affiliations are not mentioned, his work is closely tied to Durham University's Computer Science department and the MDS initiative within the Faculty of Science. He collaborates with interdisciplinary teams on projects combining technology, culture, and education.

• Knowledge Representation
• Spatial and Temporal Cognition
• Multimodal Interaction
• +3 more

Prof. Christopher Habel is a Professor in the Department of Computer Science at the University of Hamburg, leading the WSV work area. His research focuses on spatial and temporal cognition, multimodal interaction, and accessibility technologies. He holds the formal title of Head of Department WSV and is affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences. Habel's work bridges cognitive science, artificial intelligence, and human-computer interaction with an emphasis on assistive technologies for visually impaired individuals. Key research projects include the CINACS International Research Training Group, exploring auditory-haptic access to spatial graphics, and the development of multimodal comprehension systems integrating text, graphics, and tactile feedback. His contributions span theoretical frameworks in cognitive linguistics and practical implementations of verbal assistance systems for tactile maps and haptic graph exploration. Over 30 years of academic activity is reflected in his extensive publication record (1984–2015), with recent work emphasizing cross-linguistic studies, event recognition in virtual environments, and the design of multimodal interfaces for cognitive robotics. His research integrates computational models with empirical studies on human perception and language processing.

Samee U. KhanView profile

Professor

• Quantum Computing
• Edge Computing
• Fog Computing
• +4 more

Samee U. Khan is a Professor in the Department of Electrical & Computer Engineering at Mississippi State University (MSU), affiliated with the Bagley College of Engineering. He holds a Ph.D. from the University of Texas (2007) and a B.S. from GIK Institute of Engineering & Technology (1999). His research focuses on optimization, robustness, and security of computer systems, with recent emphasis on quantum computing, edge/fog computing, and machine learning applications in neuroscience and cybersecurity. Key research interests include quantum algorithm development, edge computing architectures, and neuro-inspired systems. His work integrates quantum computing with traditional machine learning to address challenges in visual perception modeling and medical imaging analysis. He also explores fog computing frameworks for IoT and distributed systems, emphasizing security and efficiency in heterogeneous environments. Publications highlight advancements in quantum noise mitigation, hybrid quantum optimization, and brain-computer interface models. His contributions span simulation toolkits like iFogSim and frameworks for vehicular networks and blockchain-based resource management. Khan’s research bridges theoretical computer science with practical applications in smart homes, healthcare, and autonomous systems.

• Group Decision Support Systems
• Impression Management
• Multilingual Communication Technology
• +3 more

Dr. Jamison H. Posey is a Clinical Assistant Professor of Marketing, Analytics, and Professional Sales at the University of Mississippi's School of Business Administration. He holds degrees from the same institution: B.B.A. (1998), M.B.A. (2003), and Ph.D. (2007). His expertise spans group decision support systems, impression management in IS development, and technology's role in trust-building within outsourcing projects. Education: B.B.A. Business Administration, University of Mississippi (1998) M.B.A. Business Administration, University of Mississippi (2003) Ph.D. Business Administration, University of Mississippi (2007) Research focuses on multilingual communication technologies, chatbot evaluation, and machine translation. His work explores how AI systems facilitate cross-cultural collaboration and improve user experience in global contexts. Recent studies address chatbot performance metrics and neural network-based comprehension predictions. Publications highlight themes like multilingual electronic meetings, trust in outsourced IT projects, and personalized search engines. While no scientific awards are explicitly noted, his contributions to AI applications and collaboration systems demonstrate significant academic impact. Advising and grants sections remain underdeveloped in available records. He is associated with the Marketing B.B.A. program and teaches courses on business software integration and technology-synergy in value chains. Office location: 1918 Briar Ridge Road, Tupelo campus.

• Human Experimental Psychology
• Haptic Perception
• Virtual and Augmented Reality
• +5 more

Chris Pagano is a Professor at Clemson University's College of Behavioral, Social and Health Sciences, Department of Psychology. His research focuses on human experimental psychology, particularly haptic perception, virtual/augmented reality, and ecological psychology. He holds a Ph.D. and B.A. in Psychology from the University of Connecticut (1993 and 1987). Education: Ph.D. Ecological Psychology, University of Connecticut (1993); B.A. Psychology, University of Connecticut (1987). Research interests include haptic perception, visual perception, affordances, and the application of ecological psychology principles to design. His work explores perception-action systems in virtual environments, human factors in surgical robotics, and spatial perception in teleoperation. Publications span topics like AR/VR calibration, haptic interfaces for surgery, and perceptual judgment in dynamic environments. Notable awards include multiple Best Paper Awards at IEEE VR conferences (2023, 2018, 2016) and recognition for contributions to human-robot interaction (2011). His grants and advising focus on advancing VR/AR technologies and their perceptual foundations. He collaborates on projects involving self-avatar design, environmental perception in immersive systems, and affordance-based design principles for architecture and engineering. Labs/Teams: Active in the Human Factors Institute and the Institute for Engaged Aging at Clemson, contributing to research on perception-action systems and technology design.

• Human Factors
• Human-Computer Interaction
• E-Health
• +6 more

John Paulin Hansen is a Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics under the Technology and Business Studies school. His research focuses on human factors, human-computer interaction, and assistive technologies, particularly in gaze interaction and rehabilitation robotics. He holds a Ph.D. from Aarhus University (1992) and has led research groups at institutions like Risø National Laboratory and the IT University of Copenhagen. His work emphasizes improving quality of life for individuals with motor disabilities through innovations like The Eye Tribe and GazeIT lab initiatives. Research Interests include: Eye-tracking technology and gaze interaction systems Exoskeletons and AR interfaces for stroke rehabilitation Human digital twins in healthcare Telepresence robotics accessibility Brain-computer interfaces (BCI) Key Achievements: Founded EU’s COGAIN network, co-created The Eye Tribe startup (acquired by Facebook/Oculus), and leads the GazeIT lab supported by the Bevica Foundation. His projects address sustainable development goals through inclusive technology solutions. Awards: Vanførefondens Forskerpris 2018 Multiple Best Paper Awards (2019–2022) Reviewers' Favourite Best Paper Award at DESIGN2022 Advising & Grants: Mentor to startups like The Eye Tribe and Orbital (acquired by GN Audio). Current projects include EU Horizon 2020 Rehyb initiative for AR exoskeleton interfaces and Human Digital Twin applications in rehabilitation. Labs/Teams: GazeIT lab pioneers assistive tech innovations, collaborating with LEGO and Serious Games Interactive. Active in developing inclusive design pedagogy and digital twin methodologies for healthcare.

• Spatial Cognition
• Spatial Language
• Spatial Visualizations
• +2 more

Holly Taylor is Moses Hunt Professor of Psychology and Professor of Mechanical Engineering at Tufts University. She directs the Spatial Cognition Lab and co-directs the Center for Applied Brain and Cognitive Sciences, focusing on human performance optimization. Her research examines mental representations of spatial information, investigating how navigation strategies are shaped by maps, multimedia sources, and environmental factors. Additional work explores nutritional impacts on cognition and stress effects on spatial decision-making. Recent publications demonstrate innovations in augmented reality navigation systems, spatial visualization for STEM education, and cognitive aspects of wayfinding under time pressure. Articles frequently appear in high-impact journals including Journal of Experimental Psychology and PLOS ONE . Sustained grant funding includes the Applied Brain and Cognitive Science Collaborative Effort with the U.S. Army (2019-2029). She teaches courses on spatial cognition, games psychology, and cognitive psychology.

Ehsan EsfahaniView profile

Associate Professor

• Artificial Intelligence in Engineering
• Human-Machine Interaction
• Robotics
• +4 more

Ehsan Esfahani is an Associate Professor and Director of Graduate Studies in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences. He is affiliated with the Stephen Still Institute for Sustainable Transportation and Logistics. His research focuses on AI-driven robotics, human-machine interaction, and bio-mechatronics systems. Education: PhD in Mechanical Engineering, University of California, Riverside (2012) MS in Electrical Engineering, University of California, Riverside (2012) MS in Mechanical Engineering, University of Toledo (2007) BS in Mechanical Engineering, Isfahan University of Technology (2004) Research Interests: Brain-computer interfaces for CAD/robotic systems Human-robot collaboration and neuroergonomics Bio-inspired robotics and tactile sensing Swarm intelligence and multi-agent systems Variable stiffness actuators for safe manipulation Key Contributions: Esfahani's work bridges AI with physical systems, emphasizing real-time human-in-the-loop control. Recent trends in his publications focus on scalable swarm robotics, human-swarm interaction dynamics, and adaptive gripper designs for confined environments. His neurophysiological approaches assess cognitive load in collaborative tasks, enhancing system safety and efficiency. Awards: American Power Public Associations DEED Scholarship (2012) UC Riverside Dissertation Year Fellowship (2011–2012) Lung-Wen Tsai Memorial Scholarship (2010) Advising & Labs: Directs the HILS Lab (Human-Inspired Learning Systems), exploring human-centered robotics. Active in grants focusing on AI-driven factories, cognitive modeling in surgery, and variable stiffness mechanisms. Collaborates on projects like SHaSTA (Human-Swarm Team Simulator) and MyoTrack rehabilitation systems. Labs & Teams: HILS Lab: Human-AI collaboration frameworks Stephen Still Institute: Transportation logistics and sustainability

Gavriel SalvendyView profile

Professor

• Human Factors
• Ergonomics
• Human-Computer Interaction
• +3 more

Gavriel Salvendy is a University Distinguished Professor at the University of Central Florida's College of Engineering and Computer Science. He also holds emeritus positions at Purdue University and Tsinghua University. His research focuses on human aspects of engineering systems, ergonomics, and human-computer interaction. Salvendy has authored/co-authored over 585 publications and 54 books, and supervised 68 PhD students. Education: PhD in Engineering Production from the University of Birmingham (1968). Earlier degrees include an M.Sc. and Graduate Diplomas in Industrial Psychology and Business Administration from Birmingham and Brunel University. Research Interests: Human factors in advanced technologies, ergonomics in manufacturing, usability engineering, and cross-cultural design. His work emphasizes optimizing human-computer interaction and fostering creativity in engineering systems. Articles Trends: Recent work addresses aging populations' technology needs, artificial intelligence ethics, and global HCI challenges. Early contributions focused on FMS supervision, CAD systems, and expert systems. Awards: 包括John Fritz Medal (2007), Friendship Award (2006), and election to the National Academy of Engineering (1990). He has advised 31 countries on human-system design and led major initiatives like founding the International Journal on Human-Computer Interaction. Professional Roles: Served as Chair of Tsinghua's Industrial Engineering department and founding president of Florida's Academy of Science, Engineering, and Medicine. Active in over 100 conferences and editorial roles for top journals. Labs/Teams: Collaborated extensively with global institutions on smart home interfaces, driver behavior studies, and virtual reality ergonomics. His team pioneered usability evaluations for mobile devices and cross-cultural e-commerce.

Lauren ThorsonView profile

Associate Professor

• Graphic Design
• Computer Graphics
• Design Education
• +3 more

Lauren Thorson is an Associate Professor and Chair of the Department of Graphic Design at Virginia Commonwealth University’s School of the Arts. Her work bridges design education, studio practice, and collaborative research. She holds a Ph.D. from the University of Minnesota, where she researched at the Interactive Visualization Lab, and an M.F.A. in Visual Studies from the Minneapolis College of Art & Design, along with dual B.A./B.F.A. degrees from the University of Iowa. Her research focuses on computational design, information architecture, and the intersection of art and science. Notable projects include XY pen plotter experiments exploring computer graphics’ origins and collaborations with the IEEE VIS Arts Program (VISAP). She co-founded Studio-Set with Jasio Stefanski and organizes the Seoul Series Workshops, fostering design collaboration in Seoul, South Korea. Thorson’s publications and exhibitions address motion visualization, virtual reality applications for ancient rhetoric, and mixed-method evaluations of scientific visualizations. Her work has been featured at IEEE VIS and in peer-reviewed journals. She actively promotes interdisciplinary design through teaching and curatorial initiatives.

James YoungView profile

Professor

• Human-Computer Interaction
• Human-Robot Interaction
• Robotics
• +6 more

James Young is a Professor in the Department of Computer Science at the University of Manitoba, within the Faculty of Science. He holds a PhD and specializes in Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI). His work focuses on designing socially intelligent robots, trust calibration in HRI, and ethical implications of robotic systems. He leads the HCI Lab, collaborating closely with Japanese robotics researchers, and has pioneered projects like the SnuggleBot companion robot and frameworks for robot capability labeling. Education: PhD in Computer Science Research interests include social robotics, teleoperation systems, and human-robot collaboration. He has explored applications in mental health support, disability inclusion, and cultural reconciliation through virtual reality. His lab emphasizes interdisciplinary approaches, combining engineering, psychology, and design principles. Current research includes designing anti-bullying interventions using robots, privacy-friendly robot interfaces, and exploring the societal impact of AI systems. He actively mentors graduate students in HCI and robotics, with funding opportunities for exceptional candidates. His work has been showcased in venues like HRI conferences and ACM publications, emphasizing both technical innovation and ethical considerations. Collaborations extend to international partnerships and industry applications in healthcare and education.

Edward BrownView profile

Associate Professor

• Human-Computer Interaction
• Hypertext
• Scientific Visualization
• +3 more

Dr. Edward Brown is an Associate Professor in the Department of Computer Science at Memorial University of Newfoundland, part of the Faculty of Science. His research focuses on human-computer interaction, hypertext systems, scientific visualization, and legal aspects of technology. He holds degrees from Memorial University (B.Sc.), the University of Toronto (M.Sc., Ph.D.), and the University of Victoria (LL.B.). His current research includes augmented reality applications for marine navigation, multimedia teaching strategies for K-12 education, and the design of user interface agents. Notable projects involve developing hypermedia tools for educational environments and studying complexity in finite-domain problems using genetic algorithms. Dr. Brown also practices technology law and has expertise in intellectual property issues. Teaching responsibilities include courses such as CS2760 (Encountering the Computer) and CS3718 (Programming in the Small). His work bridges computer science with pedagogical innovation and legal implications of emerging technologies.

Fiona FrenchView profile

Associate Professor

• Animal-Computer Interaction
• Animal Welfare
• Zoology
• +3 more

Dr. Fiona French is an Associate Professor in the School of Computing and Digital Media at London Metropolitan University, specializing in Animal-Computer Interaction (ACI). She is the course leader for the BSc Games Programming program and a Fellow of the Higher Education Academy (FHEA). Her research focuses on designing technology-enhanced systems to improve animal welfare, particularly through cognitive and acoustic enrichment for captive species like elephants and nocturnal animals. French collaborates with zoos, conservation organizations, and interdisciplinary teams to create interactive tools that empower animals and promote ethical technology use. Her work spans projects such as 'Facial Physio,' a VR application for Parkinson's facial rehabilitation, and 'Sensory Jam,' exploring non-human sensory experiences. She has led workshops like 'Moon Jam' and 'ReptileJam,' fostering collaborative design solutions for animal welfare challenges. French’s publications address biohybrid systems, ethical AI, and multispecies aesthetics, emphasizing technology’s role in bridging human and animal needs. Key Collaborations: Twycross Zoo, Indy Zoo, and North Carolina Zoo. Grants: Supported by interdisciplinary projects focusing on animal agency and environmental enrichment. Lab/Team: Leads the ACI research group at London Met, developing prototypes like interactive audio devices and facial muscle controllers.

Ramanathan SubramanianView profile

Associate Professor

• Human-centered computing
• AI systems
• Non-verbal behavioral analysis
• +7 more

Ramanathan Subramanian is an Associate Professor in the Department of Information Technology & Systems, AI and Robotics at the University of Canberra. His past affiliations include IIT Ropar and UIUC, Singapore. He has received notable awards including the IEEE Transactions on Affective Computing Best Paper Award (2019) and Multimedia Rising Star nomination (2015). His research focuses on Human-centered computing, AI systems leveraging non-verbal behavioral cues, and applications in health analytics and virtual reality. He actively supervises PhD and Master’s students in areas like Human-Computer Interaction, Data Science, and VR for healthy aging. Research interests: Human perception modeling, intelligent interfaces, health-focused VR, and applied machine learning Key projects: Driver sentiment prediction, distraction awareness campaigns, and robotics for waste management His work contributes to UN SDGs related to health and well-being, particularly through technologies improving aging care and mental health monitoring. Recent projects include developing explainable AI for emotion inference and multimodal data fusion systems. Awards: IEEE Best Paper Award, Multimedia Rising Star Grants: Lead or Co-Investigator on three major grants totaling over AUD 4M Labs/Teams: Collaborates extensively with the University's robotics and health tech groups, contributing to interdisciplinary projects in AI ethics and medical signal processing.