جست‌وجوی استاد و پژوهشگر

Doug Bowmanمشاهده پروفایل

استاد

• Virtual Reality
• Augmented Reality
• 3D User Interfaces
• +۳ مورد دیگر

Doug Bowman is the Frank J. Maher Professor in the Department of Computer Science at Virginia Tech and Director of the Center for Human-Computer Interaction. His work focuses on advancing virtual reality (VR), augmented reality (AR), and 3D user interfaces, with a strong emphasis on human-computer interaction and immersive environments. Education: Ph.D., Computer Science, Georgia Institute of Technology (1999) M.S., Computer Science, Georgia Institute of Technology (1997) B.S., Mathematics and Computer Science, Emory University (1994) Research Interests: Bowman explores the design and evaluation of immersive technologies, including VR/AR interfaces, 3D interaction techniques, and the application of these technologies in fields like healthcare, education, and collaborative work. His work often addresses challenges in spatial awareness, gaze-driven systems, and context-aware interfaces. Recent publications highlight trends in collaborative AR/VR systems, glanceable interfaces, and adaptive techniques for immersive analytics. His research emphasizes real-world applications, such as medical training through AR and improving productivity in virtual workspaces. Lab Affiliation: Director of Virginia Tech’s Center for Human-Computer Interaction, which focuses on interdisciplinary research in interactive technologies.

Pia Frickerمشاهده پروفایل

دانشیار

• Computational Methodologies
• Urban Design
• Landscape Architecture
• +۸ مورد دیگر

Prof. Pia Fricker is an Associate Professor and Vice Head of the Department of Architecture at Aalto University's School of Arts, Design and Architecture in Finland. She holds the Professorship of Computational Methodologies in Landscape Architecture and Urbanism, directing the Urban Studies and Planning Programme. Her research integrates urban design, landscape architecture, and digital design culture, focusing on data-driven methods, immersive environments, and adaptive urban development. Collaborations include ETH Zurich, Singapore University of Technology and Design, and Hafencity University Hamburg. Key projects include the Metaversity and Future Smart Cities initiatives. Fricker has led over 80 publications and exhibitions globally, including at the Venice Biennale and National Design Centre Singapore. She is an editorial board member for the Journal of Digital Landscape Architecture and peer reviewer for multiple journals. Awards include the Digital Landscape Architecture Award (2018) and DLA Scientific Merit Award (2021). Her teaching emphasizes computational pedagogy and digital innovation in design education. Education: PhD in Architecture (ETH Zurich, 2021) Postgraduate in Didactics (ETH Zurich, 2011) MAS in Computer Aided Architectural Design (ETH Zurich, 2003) MSc Arch in Urban Design & Landscape Architecture (Technical University of Karlsruhe, 2001) Research Interests: Computational design, parametric modeling, mixed reality, climate-adaptive ecosystems, generative AI, and sustainable urban development. Her work bridges emerging technologies with ecological and urban challenges, emphasizing interdisciplinary collaboration. Grants & Projects: Metaversity (2023–2025, Principal Investigator) Future Smart Cities Sasakawa (2023–2024, Principal Investigator) ABRA (2020–2023, Project Member) Awards: DLA Awards (2018, 2021) DLA Review Committee Awards (2020–2022) Exhibition Recognitions (Venice Biennale, National Design Centre Singapore) Labs/Teams: Leads the Urban Studies and Planning Programme and collaborates with interdisciplinary teams on projects like the RAILCORRIDOR Singapore initiative. Active in digital twin development and AI-driven design tools.

• Databases
• Transaction Management
• Data Management in the Cloud
• +۱۲ مورد دیگر

Heiko Schuldt is a Full Professor of Computer Science at the University of Basel and leads the Databases and Information Systems (DBIS) group. His research spans databases, transaction management, cloud data systems, digital libraries, and multimedia retrieval, with a focus on distributed systems, data streams, and service-oriented architectures. He studied at the University of Karlsruhe (KIT) and received his PhD from ETH Zurich in 2001. From 2003-2006, he served as an associate professor at UMIT, Austria. Education: University of Karlsruhe (Computer Science), ETH Zurich (PhD, 2001) Research Interests: His work integrates databases, cloud computing, and multimedia retrieval, emphasizing scalable systems for lifelog data, sports analysis, and VR/AR environments. Projects include vitrivr, Polypheny-DB, and StreamTeam. Recent Publications: Trends focus on VR/AR multimedia retrieval, cross-modal analysis, and polystore systems. Key contributions include open-source frameworks for video/image retrieval and immersive analytics. Advising: Supervised over 50 theses in areas like mixed reality, polystore optimization, and gesture-based interfaces.

Jalal Nouriمشاهده پروفایل

استاد

• Technology-Enhanced Learning
• Learning Analytics
• Artificial Intelligence for Education
• +۴ مورد دیگر

Jalal Nouri is a Professor at the Department of Computer and Systems Sciences (DSV) , Stockholm University . He coordinates the Learning Analytics and AI for Education Group , focusing on data-driven methods to enhance education and AI applications in educational contexts. Research Interests: Learning Analytics, Artificial Intelligence for Education, Programming Education (Computational Thinking), Mixed Reality Environments for Learning, 21st Century Skills Contact: Email jalal@dsv.su.se | Phone 08-674 78 11

Philipp A. Rauschnabelمشاهده پروفایل

استاد

• Augmented Reality
• Virtual Reality
• Metaverse
• +۵ مورد دیگر

Prof. Dr. Philipp A. Rauschnabel serves as Professor of Digital Marketing and Media Innovation at the University of the Bundeswehr Munich's Faculty of Business Administration. Recognized as one of the world's leading scientists in augmented reality, virtual reality, and metaverse research, he bridges academic theory with practical business applications across multiple industries. His educational background includes: Habilitation, Dr. habil; PD, Otto-Friedrich University of Bamberg Dr. rer. pol. (psychological brand management, 2014, summa cum laude), Otto-Friedrich University of Bamberg M.Sc. in Marketing and Distribution Management, Georg-August University of Göttingen (best of class) BA in Business (Marketing and Business Information Systems), Merseburg University of Applied Sciences (Top 10% graduate) Rauschnabel's research centers on the practical implementation of spatial computing technologies in marketing contexts. He has developed influential frameworks including the XR framework that redefines the relationship between augmented reality, virtual reality, and mixed reality. His work examines how these technologies transform consumer-brand relationships, workplace operations, and marketing strategies across retail, manufacturing, and service industries. He particularly investigates the psychological mechanisms through which AR/VR experiences influence consumer behavior, brand love, and purchasing decisions. Analysis of his recent publications reveals a clear progression from basic AR applications toward more sophisticated spatial computing environments and persistent metaverse experiences. His research demonstrates increasing sophistication in understanding contextual factors, emotional responses, and long-term consumer engagement with these technologies. The work consistently bridges theoretical marketing concepts with practical implementation challenges faced by businesses. His significant scientific recognition includes: Top 1% Scientist (Clarivate Highly Cited Researcher, 2023) Top 2% Scientist (Stanford List 2023) Microsoft Academics listed as one of the top 5 AR researchers worldwide based on citation output (2021) Named one of the top 15 AR marketing researchers worldwide (Kumar, 2021) Prof. Rauschnabel serves as Associate Editor for the Journal of Business Research and chairs the bdvb research institute. He has provided expert consultation to the German Federal Government on XR/Web3/Metaverse (2022) and regularly advises major corporations across multiple sectors including food, home appliances, insurance, automotive, and telecommunications across Germany, USA, Switzerland, China, and Austria. His practical consulting work complements his academic research, creating a valuable feedback loop between theory and practice. He leads multiple research initiatives on augmented reality marketing and spatial computing, collaborating with industry partners to develop practical applications of these emerging technologies. His work emphasizes the importance of understanding both the technological capabilities and human factors that determine successful implementation of AR/VR in business contexts.

Sarah CHAN Hian Mayمشاهده پروفایل

پژوهشگر ارشد

• Environmental Psychology
• Computational Social Science
• Urban Sustainability
• +۴ مورد دیگر

Sarah CHAN Hian May is a Research Fellow at the Lee Kuan Yew Centre for Innovative Cities (LKYCIC), Singapore University of Technology and Design (SUTD), under the Chan Heng Chee Research Fellowship. She holds a Ph.D. in Interdisciplinary Studies from Nanyang Technological University (NTU) and a B.A. (Hons) in Economics from NTU. Her research focuses on environmental psychology, exploring human-environment interactions across natural, built, and virtual domains. Key themes include urban sustainability, virtual reality applications, and behavioral change mechanisms to bridge environmental and technological challenges. Education Ph.D., Interdisciplinary Graduate Programme, Nanyang Technological University (2022) B.A. (Hons) in Economics, Nanyang Technological University (2017) Research Projects She collaborates with Dr. Neo Harvey on the 'Leveraging Shared Experience of Urban Heat' project, addressing climate resilience in Singapore. Her work integrates computational methods to analyze digital self-expression, emotions, and landscape perceptions. Recent studies include the impact of virtual nature on stress reduction and pro-environmental attitudes through metaverse interventions. Grants & Collaborations Recipient of Chan Heng Chee Research Fellowship Active collaborations with institutions like NTU's School of Social Sciences and interdisciplinary teams at LKYCIC Lab & Team Involvement Contributes to urban resilience and computational social science research teams, focusing on data-driven solutions for environmental and social challenges.

Liam Crossمشاهده پروفایل

مدرس

• Social Psychology
• Prosocial Behavior
• Synchronization
• +۱۳ مورد دیگر

Liam Cross is a Lecturer in Psychology at the School of Psychology, University of Bath. His research focuses on social psychology, particularly how synchronized movement (e.g., dancing, drumming) fosters prosocial behavior, affiliation, and group cohesion. He also investigates autism, theory of mind, deception, media effects on prejudice, and the therapeutic potential of games. His research interests span Social Psychology, Prosocial Behavior, Synchronization, Theory of Mind, Autism, Nonverbal Communication, Media Effects, and Gamification . He explores how rhythmic coordination influences social bonding and identity, and how digital and tabletop games can support individuals with autism. His work integrates experimental, virtual reality, and qualitative methods to understand complex social dynamics. The recent articles highlight a strong trend in using technology—especially virtual reality and games—to study and enhance empathy, reduce prejudice, and improve social interaction. Key themes include the Proteus Effect, synchronized movement in VR, video games for refugee empathy, and board games for understanding autistic experiences . These works reflect interdisciplinary approaches bridging psychology, human-computer interaction, and social intervention. Liam Cross has no explicitly listed scientific awards in the provided text. While no direct mention of student advising or grants is made, his collaborative publications suggest active mentorship and research leadership. He is affiliated with the NeuroPlay Lab , indicating involvement in a dedicated research team focused on play, technology, and social cognition. His work contributes to UN Sustainable Development Goals related to well-being and reduced inequalities. He is actively involved in research and teaching in Social Psychology, Research Methods, and Statistics , and leads innovative projects using immersive technologies and games to address social challenges. The NeuroPlay Lab serves as a hub for experimental and applied research in prosocial technology and autism interventions.

• Rock Mechanics
• Fracture Mechanics
• Tunneling
• +۴ مورد دیگر

Mikael Rinne serves as Associate Professor in Rock Mechanics within the Department of Civil Engineering at Aalto University, Finland. Holding a Doctor of Science in Technology (D.Sc. Tech.), he brings extensive industry experience from Finnish and Swedish consulting firms (1988-2008) where he specialized in rock engineering and project management for tunneling and geological disposal of radioactive waste. His research focuses on rock and fracture mechanics with direct applications to rock engineering, mining, and tunneling. Current investigations center on digital characterization methods including photogrammetry, videogrammetry, and virtual reality systems for both practical engineering solutions and educational advancement. His work addresses critical challenges in fracture hydro-mechanics, rock mass characterization, and sustainable mining practices. Analysis of his 15 most recent publications (2023-2025) reveals a strong emphasis on digital transformation in rock mechanics. Key trends include non-contact surveying techniques for rock mass characterization, scale effects in fracture properties, and virtual learning environments for engineering education. His research bridges theoretical modeling with field applications in tunneling, mining, and radioactive waste disposal, demonstrating consistent innovation in measurement technologies and computational methods. No scientific awards were mentioned in the source materials. While specific advising details and grant information were not provided, his leadership of the Mineral-based materials and mechanics research group indicates active supervision of graduate students and management of research projects. His industry background suggests strong connections with tunneling and mining sectors for applied research collaboration. He directs the Mineral-based materials and mechanics research group at Aalto University, which develops advanced methodologies for rock characterization and engineering applications. Current initiatives integrate digital tools like smartphone LiDAR, 360-degree cameras, and virtual reality systems to enhance both field practices and educational outcomes in rock engineering.

Jackie Chaمشاهده پروفایل

استادیار

• Human Factors and Ergonomics
• Healthcare Systems
• Surgical Robotics
• +۴ مورد دیگر

Dr. Jackie Cha serves as an Assistant Professor in the Department of Industrial Engineering within Clemson University's College of Engineering, Computing and Applied Sciences. Her research bridges human factors engineering with healthcare innovation, focusing on surgical robotics, physiological signal analysis, and wearable medical technologies to enhance clinical performance and safety. Her academic foundation includes advanced degrees from leading institutions: Ph.D. in Industrial Engineering from Purdue University M.S.E. in Biomedical Engineering from the University of Michigan B.S.E. in Biomedical Engineering from the University of Michigan Cha's research program centers on quantifying human performance in high-stakes medical environments through sensor-based metrics. She investigates nontechnical skills in surgical teams, mental workload during robotic procedures, and ergonomics of exoskeleton implementation in operating rooms. Her work integrates physiological signals, eye-tracking, and proximity sensors to develop objective assessment tools for surgical proficiency and team dynamics. Analysis of her 2023-2025 publications reveals consistent thematic focus on human-robot collaboration in surgery, with emerging trends in AI-driven workload detection (s-DResNet), neural correlates of surgical expertise, and environmental factors affecting robotic surgery outcomes. Key methodological approaches include scoping reviews of human-robot interaction metrics, mixed-methods evaluations of exoskeleton efficacy, and extended reality applications for nontechnical skills training. She leads the ECHO Lab (Engineering for Clinical and Human Outcomes) at Clemson, which develops translational solutions for healthcare human factors challenges. Her lab's work spans from fundamental physiological signal analysis to applied interventions in operating rooms and emergency medical settings.

Bryan A. Brownمشاهده پروفایل

استاد

• Science Education
• Diversity and Identity
• Urban Education
• +۳ مورد دیگر

Bryan A. Brown is the Kamalachari Professor of Science Education and Senior Associate Vice Provost at Stanford University’s Graduate School of Education. His work focuses on science education in urban contexts, emphasizing discourse, identity, and equity. He holds administrative roles including College Director of Freshman Sophomore College and oversees the Stanford Provostial Fellows Program. Education: BS in Biology (Hampton University, 1996), MA and PhD in Science Education (UC Santa Barbara, 1999–2002). Research Interests: Student identity, classroom discourse, urban STEM equity, college access, and culturally relevant pedagogy. Advisees: Supervises doctoral students including Kendra Sobomehin, Brandi Cannon, and Derric Heck. Dr. Brown’s recent work explores virtual reality (VR) applications for culturally relevant science education and the impact of language ideologies on cognition. He teaches courses like Curriculum and Instruction in Science and Science, Engineering and Technology Education Seminar . His research highlights how race, language, and culture shape learning opportunities, particularly for urban students. He advocates for technology-based solutions to address educational disparities and has contributed to projects like VR-based ocean acidification education and culturally responsive STEM curricula. Key Themes: Bridging cultural relevance and technology, dismantling language barriers in science, and advancing equity through pedagogical innovation.

Robert Xiaoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۴ مورد دیگر

Robert Xiao is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Designing for People research cluster. He holds a Ph.D. from Carnegie Mellon University and a BMath from the University of Waterloo. His research focuses on interactive technologies, including VR/AR interfaces, sensing systems, and cybersecurity. Notable contributions include Lumitrack (tracking system), TouchTools (touch interaction), and CVE-2023-37271 (Python sandbox exploit). Education: Ph.D., Human-Computer Interaction Institute, Carnegie Mellon University; BMath, Computer Science & Combinatorics, University of Waterloo Affiliations: Core member of UBC's Designing for People cluster Research interests span novel input modalities, mixed-reality systems, and security challenges. He actively competes in DEF CON CTF (multiple 1st places) and publishes in top venues like CHI, UIST, and ISMAR. Recent work explores VR decision-making, low-latency tracking, and collaborative AR/VR environments. Awards: SIGCHI Outstanding Dissertation Award, CHI Honorable Mention, DIS Honourable Mention Teaching includes courses on computer systems (CPSC 213), human-computer interaction (CPSC 554X), and cybersecurity (CPSC 436S). His lab develops tools like SurfShare (surface sharing) and VirtualNexus (collaborative AR).

Ji-young Shinمشاهده پروفایل

استادیار

• Language assessment
• Corpus linguistics
• Educational technology
• +۴ مورد دیگر

Ji-young Shin serves as an Assistant Professor in the Teaching Stream within Education Studies at the University of Toronto Mississauga's Department of Language Studies. Her position integrates teaching, research, and practical application in language education with emphasis on assessment innovation and technology integration. Her academic credentials include: PhD in English / Second Language Studies & ESL from Purdue University, USA MS in Educational Psychology & Research Methodology from Purdue University, USA MA in Teaching English to Speakers of Other Languages (TESOL) from Hankuk University of Foreign Studies, South Korea BA in English Education (Japanese minor) from Hankuk University of Foreign Studies, South Korea Shin's research program focuses on language assessment, corpus linguistics, and technology-mediated pedagogy. She employs mixed methods with quantitative emphasis, utilizing corpus-informed computational analysis and latent-trait modeling complemented by qualitative discourse analysis. Her work addresses critical gaps in second language acquisition, educational measurement, and digital learning environments, particularly regarding AI applications and test validation across diverse language contexts. Her publication trajectory from 2017-2025 demonstrates consistent innovation in language assessment methodologies and technology integration. Key themes include AI-powered chatbots for L2 Korean instruction, online vocabulary testing for Spanish, and corpus-based writing pedagogy. Her work shows increasing focus on artificial intelligence applications and cross-linguistic validation studies, reflecting evolving priorities in language education research. Shin has secured competitive research funding including: Global Classrooms Grant (2025–2026) for VR-enhanced intercultural competence Black, Indigenous, and/or Racialized Scholar Grant (2025–2026) for cross-border AI language learning IRCC Engage3 Project (2022–2024) as Co-PI on VR/AI educational advancement Advancement Fund Plus (2022) for generative AI in teacher education British Council Award (2019) for technology-mediated assessment development She teaches advanced courses including 'The Future of Ed Tech: Active Learning Classrooms and Artificial Intelligence' (EDS285) and supervises community-based experiential learning (EDS388). Her grant portfolio indicates active supervision of research assistants and collaboration with international teams focused on AI implementation and assessment validation. Current projects explore generative AI for language learning across diverse contexts and virtual reality applications in teacher education. While specific laboratory infrastructure isn't documented, her collaborative publications with researchers across Korea, Spain, and the United States suggest participation in international research networks focused on language assessment technology and corpus applications.

Stephen Brooksمشاهده پروفایل

استاد

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +۱۳ مورد دیگر

Stephen Brooks is a Professor in the Faculty of Computer Science at Dalhousie University, actively contributing to research and education in computer graphics, visualization, and human-computer interaction. He is affiliated with the Human-Computer Interaction, Visualization & Graphics research cluster and currently supervises multiple graduate students on diverse projects. PhD in Computer Science, University of Cambridge (2004) MSc in Computer Science, University of British Columbia (2000) BSc, Brock University (1998) His research focuses on computer graphics and visualization, particularly non-photorealistic rendering, image editing, 3D geospatial systems, ocean visualization, and real-time rendering of natural phenomena. He has also worked in sound synthesis and motion editing. His recent publications show a strong emphasis on visual analytics, network flow visualization, and ocean science applications. His work spans interdisciplinary domains including environmental science, genomics, cybersecurity, and digital art. He has developed visualization tools for ocean science under a major CFREF-funded initiative and created novel methods for rendering stained glass, mixed media art, rivers, and ocean surfaces. His research integrates perception, automation, and user interaction to enhance visual analysis. Notable scientific contributions include work on tone mapping optimization, uncertainty visualization using chromatic aberration, semantic object clouds, and hybrid 2D/3D GIS. His publications appear in top venues such as IEEE TVCG, ACM Transactions, and SIGGRAPH. NSERC Discovery Grants Canada First Research Excellence Fund (CFREF) NSERC CREATE Mitacs Accelerate and Globalink CFI New Opportunities Grant Cyber Security Research and Development Grant He has supervised numerous PhD, Master’s, and undergraduate students in areas including ocean visualization, tone mapping, network security, VR, and geospatial analytics. He teaches courses in Game Design, Visualization, Computer Animation, and Network Computing, emphasizing project-based and interdisciplinary learning. He leads research in visual analytics for network data (FloVis), ocean science, and mixed reality collaboration. His lab develops interactive systems for data exploration in domains ranging from marine biology to cybersecurity. Future work includes expanding ocean-first climate visualization and enhancing mixed presence collaboration in immersive environments.

• Machine Learning
• Control Systems
• Robotics
• +۳ مورد دیگر

Sebastian Trimpe is a Full Professor and Head of the Institute for Data Science in Mechanical Engineering at RWTH Aachen University, concurrently serving as Co-Executive Director of the RWTH Center for Artificial Intelligence since 2023. Previously, he led a Max Planck Research Group at the Max Planck Institute for Intelligent Systems from 2018 to 2022. His educational background includes: Ph.D. in Dynamic Systems and Control from ETH Zurich (2013) Dipl.-Ing. (M.Sc.) in Electrical Engineering from TU Hamburg (2007) MBA in Technology Management from TU Hamburg (2007) B.Sc. in General Engineering from TU Hamburg (2005) Professor Trimpe's research integrates machine learning with control theory to address safety and efficiency challenges in autonomous systems. His work spans theoretical frameworks for robust decision-making under uncertainty and practical implementations in robotics, with particular emphasis on event-triggered control, distributed systems, and data-efficient learning methodologies. Key contributions include novel approaches to safe reinforcement learning and model predictive control with guaranteed stability. Analysis of his recent publications reveals a pronounced focus on bridging machine learning with control engineering, especially in safety-critical robotics applications. Common themes include distribution-aware learning for medical diagnostics, diffusion-based control approximation, and hardware-in-the-loop validation of theoretical frameworks, demonstrating strong alignment between algorithmic innovation and real-world deployment. His scientific achievements have been recognized with prestigious honors: IFAC World Congress Interactive Paper Prize (2011) Klaus Tschira Award for public understanding of science (2014) Best Paper Award at International Conference on Cyber-Physical Systems (2019) Future Prize by Ewald Marquardt Stiftung (2020) As institutional leader, he directs the Institute for Data Science in Mechanical Engineering and co-leads the RWTH AI Center, overseeing strategic research initiatives and industry collaborations. His academic service includes editorial roles for IEEE Control Systems Society conferences and participation in the Cluster of Excellence 'Internet of Production'. The Institute for Data Science in Mechanical Engineering operates as a multidisciplinary hub where fundamental research in learning-based control meets industrial applications. Current projects focus on drone swarm coordination, deformable object manipulation, and medical diagnostics systems, leveraging both simulation environments and physical testbeds like the Mini Wheelbot platform.

Anil Ufuk Batmazمشاهده پروفایل

استادیار

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Anil Ufuk Batmaz is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on Virtual Reality (VR), Augmented Reality (AR), and Human-Computer Interaction, with emphasis on interaction techniques, immersive analytics, and motor skill training systems. He holds a BSc in Electrical and Electronics Engineering (2007-2011), an MSc in the same field (2011-2013), and a PhD in Biomedical Engineering (2015-2018). His work bridges engineering and cognitive science, investigating how visual and haptic feedback impact user performance in immersive environments. Research interests include: 3D interaction techniques for mid-air tasks Effects of display technologies on motor coordination Hybrid UI design for mixed reality systems Training systems for precision tasks using VR Recent publications emphasize evaluation of AR/VR interfaces in healthcare, sports training, and collaborative environments. His work has appeared in venues like IEEE TVCG, ACM CHI, and ISMAR, addressing challenges in spatial navigation, error feedback, and system reliability.