جست‌وجوی استاد و پژوهشگر

• Geospatial Data Analysis
• Geodemographics
• Population Ageing
• +۷ مورد دیگر

Professor Nigel Walford is affiliated with Kingston University within the School of Built Environment and Geography , Department of Geography, Geology and the Environment. His career spans decades of GIS research, with a focus on geospatial analysis and demographic trends. BA (Hons) in Geography, University of Sussex (1974-77) PhD, University of London (Wye College) (1981) Chartered Geographer, Royal Geographical Society (2003) Research Interests include: Geodemographics and population ageing Spatial planning and environmental monitoring Historical GIS and agricultural restructuring Urban-rural differentiation 3D cultural heritage visualization Demographic-environmental-socioeconomic classifications Recent publications show trends in: Micro-scale demographic analysis of London (2011-2021) WWII land use impacts on South Downs Age-friendly urban environments GIS education evolution Remote sensing for conservation biology 3D modeling of archaeological sites Scientific Awards : British Academy Senior Research Fellowship (2012) Teaching includes courses in Environmental Science with Hazards and Disasters, Environmental Science, and Geography. His work involves integrating GIS with historical data and ecological studies, supported by grants from ESRC, Scottish Executive, and Nuffield Foundation.

• Human-Computer Interaction
• Artificial Intelligence
• Software Engineering
• +۷ مورد دیگر

Nadeem Faisal is an Assistant Professor at National Textile University, Pakistan , a Postdoctoral Researcher at the IVU Laboratory (Department of Computer Science, University of Bari, Italy), and a Senior Researcher with the Human Communication and Interaction Group (University of Oviedo, Spain). His academic journey spans 15+ years of teaching and research in Human-Computer Interaction (HCI) , Artificial Intelligence , and Software Engineering . Current Roles : Assistant Professor (NTU), Postdoctoral Researcher (IVU Lab, Bari), Senior Researcher (HCI-RG, Oviedo) Key Research Areas : Software requirements, AI, UX design, smart systems, human-centered technology Education : B.S. Information Technology (2005, AIOU, Pakistan) M.S. Computer Science (2009, Blekinge Institute of Technology, Sweden) Ph.D. Computer Engineering (2017, University of Oviedo, Spain) Research Trends from his 15 most recent publications (2023–2025) show sustained focus on Human-Computer Interaction (mobile UX, educational apps), AI/ML applications (medical imaging, crop disease detection, sentiment analysis), and Smart Systems (IoT, security surveillance). His work bridges technical innovation with real-world applications in healthcare, education, and sustainability. Scientific Collaborations : EU-funded research contributions International partnerships with institutions in Spain, Sweden, and Italy Advising : Supervised 40+ postgraduate students across AI, HCI, and software engineering. Current research involves mentoring teams in deep learning for medical imaging at IVU Lab and developing augmented reality tools for special education. Labs & Teams : IVU Laboratory (University of Bari, Italy) Human Communication and Interaction Group (University of Oviedo, Spain) Collaborative projects with institutions in Sweden, Spain, and Pakistan

Baocheng Gengمشاهده پروفایل

استادیار

• Human Decision Making
• Distributed Detection
• Information Fusion
• +۷ مورد دیگر

Baocheng Geng is an Assistant Professor in the Department of Computer Science at The University of Alabama at Birmingham (UAB), within the College of Arts and Sciences. His research focuses on human decision making, distributed detection, and machine learning applications in IoT and autonomous systems. He holds a Ph.D. from Syracuse University and a B.S. from Shanghai Jiao Tong University. Research Interests: His work bridges artificial intelligence, behavioral psychology, and human-technology interactions. Key areas include decision fusion in human-machine inference networks (HMIN), cognitive biases in human decision making, and robust algorithms for distributed systems under adversarial conditions. Publications Trends: Recent work emphasizes adversarial machine learning, federated learning, and interpretable neural networks for remote sensing and cybersecurity. He has explored applications in mental health prediction, cognitive radar, and resilient sensor networks. Affiliations: Previously affiliated with Syracuse University's Sensor Fusion Lab under Prof. Pramod K. Varshney. Current projects involve interdisciplinary collaborations in AI ethics, autonomous systems, and data-driven healthcare solutions. Labs: Involved in advancing the Sensor Fusion Lab's legacy at UAB, focusing on human-in-the-loop decision systems and strategic defense mechanisms against Byzantine attacks.

Scott A. Kuhlمشاهده پروفایل

دانشیار

• Computer Graphics
• Virtual Reality
• Immersive Virtual Environments
• +۳ مورد دیگر

Scott A. Kuhl is an Associate Professor of Computer Science at Michigan Technological University, with an affiliated appointment as an Associate Professor in Psychology and Human Factors. He holds a PhD in Computer Science from the University of Utah (2009) and undergraduate degrees in Computer Science and Mathematics from Augsburg University. His research focuses on computer graphics, immersive virtual environments, head-mounted displays (HMDs), and human spatial perception, with an emphasis on improving VR technologies for practical applications. He leads the Husky Game Development Enterprise (HGD), where students create games for business, education, and entertainment, releasing titles on platforms like itch.io. He advises on curriculum development for robotics and automation education, emphasizing open-source tools and industry collaboration. His work is supported by grants such as the NSF-funded Immersive Visualization Studio (CNS-1229297). Dr. Kuhl’s labs include the Immersive Visualization Studio (50-megapixel display with Vicon tracking) and the Virtual Environment Lab (WorldViz PPT tracking, NVIS nVisor ST HMD). He has received awards including the Best Full Paper at VRST 2009 and the Best ATMAE Conference Proceedings Paper in 2016. His research spans human perception in VR, HMD design, and interdisciplinary education. Grants and collaborations include partnerships with industry and academic institutions to enhance robotics education and VR technology. He mentors students in game development, virtual reality research, and perceptual studies, fostering a dynamic research and educational environment at Michigan Tech.

Mark Claypoolمشاهده پروفایل

استاد

• Multimedia Networking
• Congestion Control
• Network Games
• +۲ مورد دیگر

Mark Claypool is a Full Professor in the Department of Computer Science and Interactive Media & Game Development at Worcester Polytechnic Institute (WPI). He joined WPI in 1997 after completing his Ph.D. at the University of Minnesota. His research spans multimedia networking, congestion control, network games, and information filtering, with over 100 peer-reviewed publications and two books on computer games. Education: B.A. Mathematics, Colorado College (Magna Cum Laude, 1990) M.S. Computer Science, University of Minnesota (1993) Ph.D. Computer Science, University of Minnesota (1997) Claypool's research integrates networking and gaming, focusing on latency effects, quality of experience (QoE), and cloud-based systems. Recent work examines frame rate variations, input delay, and network turbulence in cloud gaming (e.g., Google Stadia). He also develops tools like Reflex for reaction-time measurement and contributes to TCP protocol improvements for wireless networks. His publications show a strong trend toward empirical studies of gaming QoE, with 2022-2025 papers analyzing latency compensation, player skill, and cloud-streaming robustness. This work bridges human-computer interaction and network systems, often using custom software for controlled experiments. Claypool chairs ACM conferences on networks/games and serves on technical program committees. He created the Dragonfly game engine for educational use and has advised projects on game development and network optimization.

Melissa Kagenمشاهده پروفایل

استاد آموزشی

• Game Studies
• Walking Simulators
• Wandering
• +۸ مورد دیگر

Melissa Kagen is an Assistant Teaching Professor in the Interactive Media & Game Development Program at Worcester Polytechnic Institute (WPI). Her academic journey includes previous roles as Assistant Professor of Communication at Curry College (2020–present), Visiting Scholar at MIT’s Game Lab (2019–2020), and Assistant Professor at Bangor University (UK, 2017–2019). She holds a Ph.D. in German Studies from Stanford University (2016), an M.A. in Humanities from the University of Chicago (2010), and a B.A. in Literary Arts from Brown University (2009). Her research focuses on game studies, walking simulators, and wandering, examining themes like postcolonialism, queerness, and death studies. She is an Associate Editor of the Journal of Gaming & Virtual Worlds and has published widely in academic journals and popular outlets like The Guardian and Sidequest . Her book Wandering Games (MIT Press, 2022) explores non-combat games and their cultural implications. Dr. Kagen teaches courses on game design, gaming industries, and death in games. She has also directed operas, including Don Giovanni and Die Fledermaus , and co-founded the Stanford Code Poetry Slam. Her work bridges academia, industry, and performance, emphasizing critical play and ethical design. Professional highlights include grants from DAAD and the Stanford Arts Institute, and her involvement with organizations like the Digital Games Research Association (DiGRA) and Boston FIG. Her contributions to game studies have been recognized through invited lectures at institutions like the University of Wisconsin-Milwaukee and Tufts University.

Daniel Weiskopfمشاهده پروفایل

استاد

• Scientific Visualization
• Eye Tracking
• Human-Computer Interaction
• +۵ مورد دیگر

Prof. Daniel Weiskopf is a Professor at the University of Stuttgart's Faculty of Computer Science, Electrical Engineering and Information Technology, affiliated with the Institute of Parallel and Distributed Systems. His research focuses on visualization techniques, eye tracking, and human-computer interaction, with applications in virtual/augmented reality (VR/AR), data analysis, and uncertainty modeling. He has contributed to advancements in scientific visualization, including ML-driven flow visualization, energy-efficient rendering, and gaze-aware interfaces. His work emphasizes empirical methodologies, such as eye-tracking studies for evaluating visualization literacy and collaborative learning in AR environments. Research interests include: Scientific Visualization and Uncertainty Representation Eye Tracking Methodologies and Human Factors VR/AR Systems and Immersive Analytics Machine Learning Applications in Visualization Recent publications highlight trends in optimizing visualization performance, improving data interpretation through gaze-aware systems, and integrating advanced visualization into gaming and engineering contexts. His work bridges computational methods with user-centric design principles. He leads efforts in the Institute of Parallel and Distributed Systems , collaborating on tools like Gazealytics for exploratory gaze analysis and mint for VR visualization integration. No awards or grants are explicitly listed in the provided information.

Carl Gutwinمشاهده پروفایل

استاد

• Human Computer Interaction
• Computer Supported Cooperative Work
• Digital Games
• +۴ مورد دیگر

Carl Gutwin is a Professor and Graduate Chair in the Department of Computer Science at the University of Saskatchewan. He holds a Ph.D. from the University of Calgary and has expertise in Human-Computer Interaction (HCI), Computer Supported Cooperative Work (CSCW), and game-related research. His work focuses on digital games, affective computing, and next-generation interfaces. Education: Ph.D. Computer Science, University of Calgary (1997) M.Sc. Computer Science, University of Saskatchewan (1991) B.Sc. (Honours) in English Literature and Computer Science, University of Saskatchewan (1988) Research Interests: Gutwin leads the Interaction Lab, exploring innovative interfaces, game design, and systems that interact with user emotions. Key areas include spatial memory interfaces, interaction techniques in virtual environments, and evaluating user experience through implicit tests. Notable Contributions: His 2019 CHCCS Achievement Award recognizes his impact on empirical HCI research. Recent work addresses automated system pacing, speech-rate preferences, and navigation assistance effects in VR. Labs/Teams: The Interaction Lab develops tools like WAMS (multisurface workspace API) and explores visualization techniques for genomic conservation. Media inquiries can be directed to communications@usask.ca.

• Computer Science Education
• Educational Technology
• Quantum Computing
• +۳ مورد دیگر

Anthony Estey is an Assistant Teaching Professor and Acting Experiential Learning Coordinator in the Department of Computer Science at the University of Victoria. His work focuses on innovative educational technologies, quantum computing pedagogy, and studio-based learning models in game design. He holds roles in both the Faculty of Engineering and Computer Science and coordinates experiential learning initiatives. Research interests include developing interactive tools to lower learning barriers in quantum computing (e.g., QNotation/QGrover), applying extended reality for immersive education, and analyzing student behavior through programming workflows. His publications span educational technology, game design pedagogy, and interdisciplinary collaboration strategies. Recent work emphasizes real-time systems for motion capture in performances and predictive analytics for student support. Though no scientific awards are listed, his contributions to educational tool development are highlighted through publications in 2024-2010. He coordinates experiential learning programs but no grants or specific lab affiliations are noted in available data.

Nurit Kirshenbaumمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Tangible User Interfaces
• Data Visualization
• +۴ مورد دیگر

Nurit Kirshenbaum is an Assistant Professor in the Information and Computer Sciences department at the University of Hawaii. She is affiliated with the Laboratory for Advanced Visualizations and Applications (LAVA) and the Hawaii Creativity and Technology (HiCat) lab. Her work focuses on Human-Computer Interaction , Tangible User Interfaces , and Data Visualization . Education: PhD in Computer Science, University of Hawaii (2016-2021) M.Sc. in Computer Science, University of Hawaii (2014-2016) M.Sc. in Interactive Media, Quinnipiac University (2012-2014) B.Sc. in Electrical Engineering, Technion - Israel Institute of Technology (1997-2001) Research Interests: Physical Visualization : Encoding data into physical objects (e.g., terrain models with projected data) SAGE3 : Reimagining collaboration tools for hybrid meetings with AI integration PEPA : Bendable interactive cards exploring novel interaction gestures Real-Time Drone Visualization : Streaming environmental data for microbiome research Awards : Best Software Innovation Award (UIST 2015) for ShowFlow , later renamed Set&Motion Advising and Labs: LAVA Lab: Focused on scalable displays and collaborative sense-making HiCat Lab: Exploring creativity-technology intersections Current Teaching: ICS-664: Advanced Human-Computer Interaction ICS/DATA/ACM-484: Data Visualization

Sven Seukenمشاهده پروفایل

دانشیار

• Market Design
• Artificial Intelligence
• Economics and Computation
• +۳ مورد دیگر

Prof. Dr. Sven Seuken is an Associate Professor at the University of Zurich's Department of Informatics, leading the Computation and Economics Research Group. He is affiliated with ETH Zurich's AI Center and co-directs the Zurich Center for Market Design. His roles include Chief Economist at Worldcoin and founder of Market Design Consulting GmbH. He holds a Ph.D. from Harvard University and has been recognized with awards such as the ERC Starting Grant and Google Faculty Award. His research bridges AI, game theory, and market design, focusing on practical applications like auction mechanisms and resource allocation. Education: Ph.D. in Computer Science, Harvard University (Advisor: David C. Parkes) Research Interests: Market Design Artificial Intelligence Economics and Computation Computational Mechanism Design Algorithmic Game Theory Machine Learning Recent Work Trends: Articles emphasize AI-driven market mechanisms, dynamic auctions, mobile network optimization, and scalable multi-agent systems. Key themes include truthful aggregation, cross-optimization, and reinforcement learning in strategic environments. Awards: ERC Starting Grant (2020) Google Faculty Research Award "Top 40 under 40" by Capital magazine (2017) Grants & Roles: Secured major grants including the ERC MIAMI project. Advises on market design for companies and serves as a mentor for the German Academic Scholarship Foundation. Active in organizing conferences like EC'22. Labs/Teams: Leads the Computation and Economics Research Group and collaborates with the Zurich Center for Market Design to advance applied market solutions.

Michael Spezioمشاهده پروفایل

دانشیار

• Decision Science
• Cognitive Science
• Computational Cognitive Neuroscience
• +۷ مورد دیگر

Michael Spezio is an Associate Professor of Psychology, Neuroscience, and Data Science at Scripps College. He directs the LIVE Lab (Laboratory for Inquiry into Valuation and Emotion) and specializes in computational cognitive neuroscience, focusing on decision science, valuation, emotion, and social interaction. His work bridges neuroscience, ethics, and virtue science, with notable contributions to understanding autism spectrum disorders, neurodiversity, and moral action. Education: B.S. in Biochemistry, Case Western Reserve University M.Div., Pittsburgh Theological Seminary Ph.D. in Biochemistry, Cornell University Ph.D. in Cognitive & Systems Neuroscience, University of Oregon Key Roles: Co-Director at Scripps College Principal Investigator on multiple grants totaling over $2.5M Research Interests: Spezio explores formal computational models of personal and moral values, the neural basis of social cognition, and ethical implications of neuroscience. His lab integrates EEG/fMRI, natural language processing, and behavioral experiments to study valuation dynamics, trust, and neurodiversity. Recent work addresses how institutions shape values and how interdisciplinary approaches can advance virtue science and moral psychology. Publications Trends: His articles span decision neuroscience, autism neurodiversity, and computational social science. Key themes include amygdala dysfunction, facial emotion recognition deficits, and the neurobiology of social interaction. He critiques popular neuroscientific theories (e.g., McGilchrist’s divided brain hypothesis) using meta-analytic and linguistic methods. Awards: Funded by Templeton Religion Trust, NSF, and NIH Notable grants include the MMIPV project ($190K) and Computational Modeling of Cooperative Success ($697K) Advising & Grants: Spezio has led major initiatives like the Humility in Loving Encounter grant and co-authored grants on autism’s neural circuitry. He collaborates internationally with institutions like Caltech and the German BMBF. Labs/Teams: The LIVE Lab combines interdisciplinary methods to study valuation dynamics. Collaborators include Ralph Adolphs (Caltech), Jan Gläscher (UCI), and teams from theology and ethics.

• Virtual Reality
• Augmented Reality
• Cybersickness
• +۸ مورد دیگر

Lisa R Rebenitsch is an Assistant Professor at the South Dakota School of Mines and Technology, specializing in virtual reality research and computer science education. Her work focuses on cybersickness, immersive environments, and user interface design. B.S., South Dakota School of Mines & Technology Ph.D., Michigan State University Her research explores: Cybersickness and its physiological impacts Immersive CAVE environments and usability Virtual reality applications in geology education Postural stability metrics for VR sickness detection Collaborative student projects in computer science Recent publications emphasize cybersickness prediction models, VR display usability, and educational applications. The Virtual Reality Lab under her leadership investigates low-cost consumer systems, develops testing frameworks, and examines factors like color and contrast affecting motion sickness symptoms. Labs & Teams: Virtual Reality Lab at South Dakota School of Mines & Technology Equipped with VR headsets, Kat-mini 2D treadmill, rumble platform Access to 20 VR-ready computers with Vive Cosmo Elites

Sky LaRell Andersonمشاهده پروفایل

دانشیار

• Digital media arts
• Game studies
• Disability and video games
• +۳ مورد دیگر

Sky LaRell Anderson, PhD, is an Associate Professor at the University of St. Thomas, specializing in digital media arts, game studies, and the intersection of gaming with disability and mental health. He teaches courses such as Visual Media Theory & Practice and Game Design , emphasizing ethical frameworks and cultural production. PhD in Emerging Media Education from the University of Minnesota MA in Emerging Media Education from Colorado State University BA in Emerging Media Education from Utah State University His research explores disability representation in live-streaming communities, mental health narratives in interactive media, and the pedagogical potential of games. He also designs games like Fetch Quest: The Tiniest RPG and D.Personal , available at SkyLaRell.net . Recent publications highlight trends in accessibility design, affective player engagement, and the integration of games into educational and historical contexts.

Randy Fortierمشاهده پروفایل

عضو هیئت علمی

• Software Security
• Web/Mobile Development
• Computer Graphics
• +۳ مورد دیگر

Randy Fortier is an Associate Teaching Professor and Associate Dean of Science (Undergraduate) at Ontario Tech University's Faculty of Science. He specializes in Computer Science education with a focus on software security, web/mobile development, graphics, and game development. His academic career includes teaching roles at the University of Windsor (1997-2003) and Thompson Rivers University (2003-2013). Education: BSc (Honours Computer Science, Software Development) from University of Windsor (1997), MSc (Computer Science) from University of Windsor (2003). Research interests span software security, mobile/web development, computer graphics, and game development. His earlier work focused on natural language processing and distributed virtual environments. His publications explore semantic web technologies, mobile speech interfaces, and scalable distributed systems architectures. Teaching portfolio includes over 15 courses ranging from introductory programming to advanced topics like interactive media and simulation modeling. He currently holds administrative leadership in undergraduate science education.