جست‌وجوی استاد و پژوهشگر

Misha Sraمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Extended Reality (XR)
• Artificial Intelligence
• +۸ مورد دیگر

Misha Sra is the John and Eileen Gerngross Assistant Professor in the Computer Science department at the University of California, Santa Barbara (UCSB). She holds courtesy appointments in the Department of Electrical & Computer Engineering, Psychological and Brain Sciences, Media, Art & Tech Program, and Cognitive Science Program. She is an affiliated faculty member of the Center for Responsible Machine Learning, Center for Aging and Longevity Studies, and Mind & Machine Intelligence. She directs the Human-AI Experience (HAX) Lab. Her research focuses on the intersection of Human-Computer Interaction (HCI), Extended Reality (XR), and Human-Centered Artificial Intelligence (AI). She investigates novel interfaces, interactions, tools, and systems for psychomotor skill acquisition, task guidance, and creative collaboration, particularly in spatial human-AI interaction. Her work explores AI's role in democratizing experiential interfaces, human-AI learning dynamics, and transitioning from data-centric to human-centric AI. Recent publications span AI-guided image editing, spatial memory in VR, emotion-aware interfaces, and mixed reality task support systems. Her research has appeared in venues like IEEE VR, ACM CHI, UIST, and ISMAR. Hellman Foundation Faculty Fellowship NSF Early CAREER Award Google Research Scholar Award IEEE Best Dissertation Award ACM CHI Best Paper Award Silver Edison Award ACM VRST Best Paper Award She advises PhD candidates in Computer Science, Electrical & Computer Engineering, and Media Arts & Technology. Her lab's projects address accessibility, AI ethics, and immersive system design, with grants supporting research on human-AI spatial collaboration and XR technologies.

Joseph McKayمشاهده پروفایل

دانشیار

• Interactive Art-Games
• VR/AR Development
• Computer History
• +۳ مورد دیگر

Joseph McKay is an Associate Professor of New Media at Purchase College (SUNY), specializing in interactive art-games and digital media. He holds a BFA from Nova Scotia College of Art & Design (1993) and an MFA from UC Berkeley (2007), with additional studies at the Whitney Independent Study Program (2000-2001). His work bridges fine art and playful interactivity, focusing on video games as modern storytelling mediums. He teaches courses like Experimental Game Lab, Programming for Visual Artists, and Physical Computing. Key research areas include VR/AR development, computational art, and the intersection of technology with everyday life. Notable projects include Awwful Tree Farmer (2024), Peckish (2023), and Zamboni Simulator . He has exhibited widely, including at MoMA, Berkeley Art Museum, and The Wrong Biennale. Awards include the Juanita & Joseph Leff Distinguished Professorship (2016–17) and the Eisner Award (2006). As an educator, he emphasizes hands-on technical skills and conceptual innovation. His exhibitions often explore themes like environmental interaction, surveillance, and playful critique of technology. He previously taught at UC Berkeley, Stanford, and Diablo Valley College, and directed the Woodstock Digital Media Festival (2011–2012).

• Cognitive Psychology
• Educational Technology
• Virtual Reality
• +۳ مورد دیگر

Dr. Bärbel Garsoffky is a Researcher and Deputy Head of the Realistic Depictions Lab at the Leibniz Institute for Science Education (IWM) in Tübingen, where she has been a scientific employee since 2001. She additionally serves as Library and Open Access Officer, managing scholarly resources and institutional repositories. Her career centers on cognitive processes within informal information environments, with significant contributions to understanding learning in digital and immersive contexts. Garsoffky earned her Diploma in Psychology from the University of Tübingen in 1994, followed by a PhD from the Deutsches Institut für Fernstudienforschung in 2000 with her dissertation on "Viewpoint dependency of event recognition such as soccer scenes". This foundational research established her expertise in visual perception and cognitive processing of dynamic events. Her research integrates cognitive psychology, educational technology, and museum studies to investigate how spatial and temporal factors in digital environments shape learning. Key interests include virtual room geometry effects on memory, temporal gaps in event perception, and authenticity-digitality interplay in informal learning sites. She examines how these elements influence cognitive load, knowledge acquisition, and user experience in museums and virtual settings. Analysis of her recent publications reveals a clear trajectory toward immersive virtual environments as learning spaces, with seminal work on corner effects in memory retention. She pioneers methodologies for studying digital materialities, comparing virtual and physical museum artifacts, and leads the BILAD international research network to advance cross-cultural understanding of digital authenticity in education. Within the Realistic Depictions Lab, Garsoffky co-organizes workshops including BILAD Network Meetings and the International Workshop on Perceptual and Cognitive Processes of Learning from 3D. Her leadership extends to project management for "Digital Materialities" (2021-2024) and "Cognitive processes in digital immersive environments" (ongoing since 2018), driving innovation in educational technology and cognitive science.

Xiao Zhangمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Statistical Machine Learning
• Convex Optimization
• +۴ مورد دیگر

Xiao Zhang is a tenure-track faculty member at the CISPA Helmholtz Center for Information Security and a member of the European Laboratory for Learning and Intelligent Systems (ELLIS). He obtained his Ph.D. in Computer Science from the University of Virginia in 2022 under Prof. David Evans, following an M.S. in Statistics from the same institution and a B.S. in Mathematics from Tsinghua University. Research Focus Zhang's research spans foundational and applied aspects of trustworthy machine learning, with emphasis on: Security vulnerabilities in ML systems (adversarial attacks, data poisoning) Robustness guarantees for learning algorithms Optimization methods for deep learning Privacy-preserving techniques Multimodal and physical-world applications His recent work focuses on developing theoretically-grounded defenses against emerging threats to AI systems. Publication Trends Zhang's 15 most recent publications (2019-2025) demonstrate consistent focus on adversarial machine learning, with growing emphasis on: 1) Physical-world attacks/defenses, 2) Multimodal model security, and 3) Certified robustness guarantees. The work consistently appears at top-tier venues (NeurIPS, ICLR, CCS). Academic Activities He actively recruits students and collaborators for trustworthy ML research, with open positions for PhD candidates and research assistants. No awards or specific grant information is documented in the provided materials.

• Computer Vision
• Deep Learning
• Image Processing
• +۳ مورد دیگر

Lettry Louis is an Assistant Professor at HES-SO Valais-Wallis, affiliated with the School of Engineering and the Department of Computer Science and Communication Systems. His research focuses on Computer Vision, Deep Learning, and Image Processing, with applications in intrinsic image decomposition, multi-camera systems, and pattern recognition. He leads projects funded by Innosuisse, including WhiteNightSkEyes (CHF 13'928, 2022–2023) and Calligranalytics (CHF 15'000, 2022–2023), which explore virtual architecture visualization and automated handwriting digitization, respectively. His research contributions include seminal work on unsupervised deep learning methods for image decomposition, adversarial networks, and large-scale pedestrian detection datasets like Wildtrack. He collaborates with academic partners at VS - Institut Systèmes industriels and researchers such as Luc van Gool and Pascal Fua. His projects address challenges in immersive virtual environments and robust computer vision algorithms.

George Tsekourasمشاهده پروفایل

استاد

• Artificial Intelligence
• Cultural Informatics
• Machine Learning
• +۶ مورد دیگر

Prof. George Tsekouras is a Professor in the Department of Cultural Technology and Communication at the University of the Aegean since 2002. His research focuses on artificial intelligence, cultural informatics, and expert systems, with over 100 publications in journals and conferences. He has contributed to projects involving machine learning fairness, blockchain sustainability, healthcare monitoring systems, and cultural heritage preservation. Research interests include AI applications in cultural heritage (e.g., 3D asset quality, art recoloring for color blindness), ethical AI in criminal justice systems, energy-efficient blockchain technologies, and environmental monitoring via machine learning. His work bridges computational methods with societal challenges, emphasizing interdisciplinary approaches. Notable trends in his publications include leveraging graph neural networks for healthcare (e.g., Parkinson’s disease monitoring), exploring ChatGPT for hospitality personalization, and developing hybrid machine learning models for disaster prediction. His contributions span technical innovation and social impact, such as improving accessibility through image recoloring algorithms and reducing blockchain’s environmental footprint. No scientific awards are listed. Advising and grants details are unavailable, but his extensive publication record indicates active research collaboration. His work often integrates cultural data with computational tools, reflecting his department’s mission at the University of the Aegean.

• Event & Meeting Management
• Sales & Sales Management
• Hospitality Business
• +۳ مورد دیگر

Jeff Beck is an Associate Professor at the School of Hospitality Business, Michigan State University. His expertise spans Event & Meeting Management and Sales & Sales Management within the hospitality industry. He holds leadership roles, including serving as the 73rd president of the International Council on Hotel, Restaurant, and Institutional Education (ICHRIE). Beck actively engages with industry through events like the Hilton Hackathon and has been recognized with the Stevenson W. Fletcher Award for his contributions. His research bridges hospitality management with interdisciplinary work in cognitive neuroscience and machine learning, as evidenced by publications exploring probabilistic inference, neural computation, and decision-making processes. Beck’s work also extends into healthcare quality analysis and food chemistry, showcasing a unique academic profile that integrates business and scientific domains. Education details are not explicitly provided in the text, but his professional trajectory indicates advanced training in both hospitality management and quantitative disciplines. His research interests combine practical hospitality challenges with computational models of human behavior, reflected in collaborations such as the 'How To Build A Brain' white paper and studies on Bayesian predictive coding in neural systems. Beck’s academic service includes mentorship roles and industry partnerships, exemplified by his classroom collaboration with Walt Disney Parks and Resorts executive Gregg Chapman. His scholarly contributions span diverse fields, with recent work focusing on machine learning applications in wine authentication, predictive modeling of sensory systems, and the neurobiological underpinnings of decision-making. These articles collectively highlight methodological innovations in probabilistic modeling and their implications for understanding both natural and artificial intelligence systems. Beck’s leadership in ICHRIE underscores his commitment to advancing academic-practice linkages in hospitality education.

Ren Ngمشاهده پروفایل

استاد

• Imaging Systems
• Computational Photography
• Optics
• +۵ مورد دیگر

Ren Ng is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. He is affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR) and the Visual Computing Lab (VCL). His research focuses on imaging, graphics, computer vision, human vision, and artificial intelligence, with notable contributions to computational photography, light field cameras, and neural radiance fields (NeRF). Ng previously founded and served as CEO of Lytro, Inc., which commercialized his Ph.D. research in light field photography. Ng holds a Ph.D., M.S., and B.S. in Computer Science and Mathematical Sciences from Stanford University. His awards include the ACM Doctoral Dissertation Award, Sloan Research Fellowship, and multiple industry recognitions such as MIT Tech Review's TR35 and Fast Company's 100 Most Creative People in Business. His research spans cutting-edge topics like color vision modeling, neural rendering, and lensless 3D imaging. Recent work explores stimulating photoreceptors for novel color perception and developing frameworks for human brain-based color vision emergence. Ng advises students in advanced imaging and computational techniques, with publications in top venues like Science Advances , ACM Transactions on Graphics , and NeurIPS . Key Contributions: Pioneered the Lytro light field camera technology Co-developed the NeRF framework for 3D scene representation Advanced computational imaging techniques (e.g., DiffuserCam) Grants & Labs: Active in NSF-funded projects and collaborates with institutions like Stanford and UC Berkeley labs. His research impacts fields from medical imaging to consumer electronics.

Roberto Marmoمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Social Media Mining
• +۴ مورد دیگر

Roberto Marmo is a Professor of Computer Science at the University of Pavia since the 2022/23 academic year. His research spans multiple domains including Artificial Intelligence , Computer Vision , and Social Media Mining . He earned his PhD in Information Engineering at Pavia's Computer Vision and Multimedia Lab after completing a Computer Science degree at the University of Salerno. Core Expertise: Data Science, AI Algorithms, Scientific Visualization Industry Applications: Anti-fraud Systems, Tourism Analytics, Transportation Sign Recognition His academic work demonstrates consistent interdisciplinary innovation: 2020: Encyclopedia contributions on Cybersecurity and Social Engineering 2017: Market analysis through social media mining 2010: Social network architecture research Key collaborations include: IBM's Web 2.0 Security Encyclopedia Italian Tourist Railways Association (application of IT to heritage tourism) Academic-Industry Partnerships in transportation sign recognition His technical contributions include: Neural network applications in geological analysis Operational risk visualization frameworks SOS gesture recognition systems e-learning performance dashboards Available for consulting and training services in AI, data analysis, and scientific visualization.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۱۷ مورد دیگر

Prof. Dr. Antonio Krüger is the CEO of the German Research Center for Artificial Intelligence (DFKI) and Director of the Ubiquitous Media Technology Lab (UMTL) at the Saarland Informatics Campus in Saarbrücken, Germany. He is a leading researcher in human-computer interaction, virtual and augmented reality, multimodal interfaces, and intelligent systems. His research interests span a broad range of topics including virtual reality (VR), augmented reality (AR), gesture interaction, haptic feedback, EEG and eye tracking, gamification, cognitive load estimation, brain-computer interfaces, and smart environments. His work emphasizes user-centered design, perceptual illusions, and real-world applications in domains such as automotive, healthcare, and education. His recent publications (2023–2024) demonstrate a strong focus on advancing VR interaction through techniques like hand redirection, synthetic gesture generation for vehicles, implicit intent recognition using multimodal sensing, and personalized object referencing. These works reflect trends toward seamless, natural, and adaptive interfaces that leverage AI, perception, and real-time feedback. Prof. Krüger supervises a large team of researchers and students, including Mansi Sharma, Amr Gomaa, André Zenner, and Martin Feick, indicating active mentorship and collaborative research leadership. His lab, UMTL, develops innovative technologies in immersive environments, wearable systems, and intelligent user assistance, contributing to both academic knowledge and practical applications.

• Video Coding
• Immersive Media
• Digital Watermarking
• +۵ مورد دیگر

Glenn Van Wallendael is an Associate Professor at Ghent University's Faculty of Engineering and Architecture , affiliated with the Department of Electronics and Information Systems . He leads research in video coding, digital watermarking, and immersive media technologies. Academic Focus: Video compression standards (HEVC, H.266), AI for multimedia, virtual reality Key Collaborations: iMinds, imec, European research consortia Research Interests include: Video compression algorithms (HEVC, SVC, MV-HEVC) Digital watermarking for copyright protection Machine learning applications in image/video analysis Quality of Experience (QoE) in immersive environments Recent Publications (2024-2025) show expertise in: Deepfake detection using vision transformers Medical image landmarking tools Lightweight geometric approximation methods AI-driven video quality assessment Doctoral Mentorship includes supervising: 2021: Hannes Mareen (video forensics) 2020: Vasileios Avramelos (light field coding) 2017: Johan De Praeter (adaptive video encoding)

Marc Erich Latoschikمشاهده پروفایل

استاد

• Virtual Reality (VR)
• Augmented Reality (AR)
• Human-Computer Interaction
• +۵ مورد دیگر

Prof. Marc Erich Latoschik is the head of the Human-Computer Interaction (HCI) Chair at the University of Würzburg. His research focuses on immersive technologies, VR/AR applications, and their psychological impacts. He holds a formal academic appointment as a Professor and has led major research initiatives in Germany, including the Embodiment Lab (Bavarian competence center for virtual embodiment) and projects like ViTras (VR therapy for obesity) and ILAST (VR rehabilitation for knee injuries). Education : Bachelor's/Master's in Mathematics and Computer Science (University of Paderborn) Studies at the New York Institute of Technology and Bielefeld University Research Interests : Latoschik’s work bridges computer science and cognitive sciences, emphasizing embodiment theory, time perception in VR, and social VR dynamics. His interdisciplinary approach combines AI, real-time systems, and 3D graphics to develop impactful technologies for therapy, training, and entertainment. Publications & Impact : He has authored over 160 peer-reviewed articles (e.g., in TVCG , IEEE VR ) and won awards for innovations like multimodal VR interfaces. His research is funded by DFG, BMBF, and EU agencies. Teaching & Service : Latoschik teaches courses on real-time systems, HCI principles, and scientific writing. He actively contributes to academic communities as a GI VR/AR SIG co-founder and reviewer for top conferences. Labs & Initiatives : His Embodiment Lab explores avatar embodiment, while projects like SIRIS and CaveUDK advance VR middleware and multimodal interfaces.

• Virtual Reality
• Augmented Reality
• Visual Analytics
• +۲ مورد دیگر

Isaac Cho is an Assistant Professor in the Computer Science Department at the College of Engineering , Utah State University . His research focuses on immersive technologies and visual analytics, with specific expertise in virtual/augmented reality, human-computer interaction, and spatiotemporal data visualization. Research Interests: Dr. Cho's work bridges computational methods and human-centered design. Primary domains include: VR/AR interaction techniques (e.g., bimanual controls, olfactory interfaces) Immersive analytics for climate science and infrastructure Visual perception in tiled displays and virtual environments Geospatial and political data visualization Publication Trends: Recent articles (2023-2025) emphasize extended reality (XR) applications in industrial, environmental, and energy contexts. Key themes include sensory augmentation, collaborative digital twins, grid resilience visualization, and reproducible climate science tools. Awards & Students: No awards or supervised students are listed in available sources.

Benjamin B Kimiaمشاهده پروفایل

استاد

• Computer Vision
• Medical Imaging
• Image Processing
• +۵ مورد دیگر

Benjamin B Kimia serves as Professor of Engineering at Brown University, leading research in computer vision and medical image understanding with emphasis on shape representation and clinical applications. His work bridges theoretical computer vision with practical medical solutions including tumor ablation guidance and surgical imaging systems. Educational background: PhD, McGill University (1991) ME, McGill University (1986) BA, McGill University (1983) Research centers on object recognition through skeletal structures and shock sets, translating shape analysis into graph-matching problems. Key projects include multiview scene reconstruction, BlindFind navigation system for the visually impaired, and medical image registration for CT/MR datasets. His digital halftoning research addresses perceptual color reproduction in printing systems using mathematical image processing. Publication analysis reveals consistent geometric approaches to vision problems across three decades, with strong interdisciplinary connections between theoretical shape representation (symmetry sets, shock graphs) and medical applications (segmentation, surgical guidance). The work demonstrates evolutionary progression from 2D shape theory toward 3D medical imaging challenges. Scientific Awards: No awards documented in source material Professor Kimia supervises graduate research in medical image analysis and computer vision, with documented projects including image-guided tumor ablation and minimally invasive surgery systems. His research receives grant support for medical device development though specific funding details aren't provided. He maintains active leadership in Brown's Engineering department through teaching ENGN courses in Medical Image Analysis, Computer Vision, and Linear Systems, while collaborating with medical researchers on imaging applications and surgical technologies.

• Augmented Reality
• Computational Geometry
• Computer Vision and Pattern Recognition
• +۱۲ مورد دیگر

Andrea Bottino is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin. He has been actively involved in the Computer Graphics and Vision Group and leads various VR@POLITO initiatives. Chair of the Master HUMANAIZE program Coordinator of multiple Machine Learning for Vision and Multimedia courses Research Focus : Augmented and Virtual Reality for education and safety Computer Vision with applications to medical imaging and kinship analysis Human-Computer Interaction in immersive environments Multimodal Learning systems XR for Cultural Heritage Publication Trends : Recent works focus on AI applications , XR training systems , and computer vision techniques applied to medical diagnostics and cultural preservation . Leadership Roles : Scientific Director for MEI - Interactive Egyptian Museum Coordinator of PNRR Mission 4 projects Principal Investigator for Holo-BLSD and ALPTECH initiatives Labs and Collaborations : Active in Visionary LAB and VR@POLITO Collaborates with Balletto Teatro di Torino for cultural XR applications Partners with Fondazione Museo Egizio and Robin Studio