جستجوی استاد راهنمای دانشگاهی

Aniruddha Kembhavi is an Affiliate Associate Professor at the University of Washington's Computer Science & Engineering department and currently serves as Director of Science Strategy at Wayve AI in London, UK. Previously, he led computer vision efforts as Senior Director at Allen Institute for AI (AI2) in Seattle and contributed to Microsoft's Image and Video Search division. His research spans 20+ years in Computer Vision , Robotics , and Embodied AI , focusing on open-source frameworks like AI2-THOR and Molmo. His work emphasizes procedural environment generation , vision-language integration , and 3D asset creation , with large-scale datasets such as Objaverse becoming foundational in 3D computer vision. CVPR 2025 Best Paper (Honorable Mention) CVPR 2023 Best Paper Winner Neurips 2022 Outstanding Paper CoRL 2024 Outstanding Paper IROS 2024 Best Mobile Manipulation Paper ICRA 2024 Best Paper Winner Allen Institute Test Of Time Award 2020 NVIDIA Pioneer Award 2018 His recent publications analyze vision-language models , 3D generation evaluation , and diffusion architectures for unified generation. He actively contributes to community-building as Program Chair for ICCV 2025 and Senior Area Chair for CVPR 2024.

• Computer Vision
• Robotics
• Natural Language Processing
• +۵ مورد دیگر

Amir Zamir is a Tenure-Track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology (EPFL) and leads the Visual Intelligence and Learning Lab (VILAB). Previously affiliated with UC Berkeley, Stanford, and UCF, his research spans computer vision, machine learning, and AI, focusing on embodied intelligence and multimodal learning. Current Appointments: EPFL (Tenure-Track Assistant Professor) Industry Experience: Chief Scientist at Aurora Solar (2015-2022), Chief Scientist at Duranta His research emphasizes advancing vision systems beyond narrow approaches toward general multi-modal/multi-task models that operate in real-world environments. Key projects include 4M (Multimodal Foundation Models), Taskonomy (Task Transfer), Gibson (Sim-to-Real), and Omnidata (Steerable Datasets). Current work explores flexible-length tokenization (FlexTok), visual personalization (ViPer), and robust cross-domain learning . Recent publications demonstrate expertise in autoregressive image generation , vision-language modeling , and embodied robotics . Awards include the ECCV Young Researcher Award , NVIDIA Pioneering Research Award , and multiple CVPR/SIGGRAPH best paper recognitions . He advises PhD students in vision systems, AI, and robotics, and teaches courses on Visual Intelligence, AI Product Management, and Autonomous Robotics.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Chunning Guo is a Professor and Vice-Director at Renmin University, specializing in new media art and animation. Her research explores the intersection of digital media, cultural narratives, and technological innovation within visual arts. Her primary research interests include: New Media Art : Examining digital transformations in artistic expression Animation Studies : Focusing on cultural, historical, and technical dimensions Virtual Reality : Investigating spatial narration and immersive storytelling Cultural Memory : Analyzing how media reconstructs historical and personal narratives Film-Game Convergence : Exploring interdisciplinary collaborations Guo's publications demonstrate consistent focus on animation as a medium for cultural documentation and critique. Her recent work (2020-2022) emphasizes virtual reality applications, AI representation in film, and Eastern European animation. Earlier research (2016-2017) established frameworks for understanding animated documentaries as tools for memory reconstruction and social commentary, with recurring themes of identity, cultural heterogeneity, and media evolution. No scientific awards, student advisements, or research grants are mentioned in available materials.

• New Media Art
• Animation
• Digital Art
• +۳ مورد دیگر

Xucong Zhang is a tenured Assistant Professor at the Intelligent Systems Department , Faculty of EEMCS , Delft University of Technology (TU Delft) . He also serves as a Guest Scientist at the Max Planck Institute for Intelligent Systems and is an EL LIS Scholar . He joined TU Delft in 2021 and was granted a permanent position in 2023. PhD from Max Planck Institute for Informatics (2013–2018) Postdoc at ETH Zurich (2018–2021) Research Interests : Xucong’s work centers on human-centered computing , combining gaze estimation and holistic human motion modeling (gaze, face, hand, full-body) to advance human-AI interaction , human-robot collaboration , and avatar generation . His healthcare research integrates computer vision with medical applications to support clinical practice. Publications Trends : Xucong’s recent work focuses on gaze estimation (e.g., UniGaze , PrivateGaze ), 3D kinematics (e.g., GazeNeRF ), and human-robot interaction (e.g., GazeHTA , SpeechCAT ). His research spans multi-camera systems , adversarial learning , and domain adaptation . Best Paper Honorable Mention, UIST 2017 Best Paper Honorable Mention, UIST 2016 EL LIS Scholar title (2023) Teaching & Funding : He leads the BSc Image Processing course and co-teaches MSc Computer Vision by Deep Learning . Xucong has secured 1.5M EUR in funding, including a DFG UGaze Programme grant (2026–2029) and sole PI for the Honda Research Institute + Netherlands TKI grant (2023–2028). Labs & Collaborations : Xucong coordinates the INSYGHT Lab at TU Delft and collaborates with institutions like Honda Research Institute Japan and ETH Zurich . His lab’s Cutting-Edge Multi-Camera System supports multi-modal data capture for social interaction analysis.

• Human-Centered Computing
• Gaze Estimation
• Embodied Visual Intelligence
• +۶ مورد دیگر

Roman Bachmann is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Visual Intelligence and Learning Lab (VILAB) within the School of Computer and Communication Sciences (IC). He holds a doctoral status as an Assistant-doctorant in the Programme doctoral en informatique et communications. His research focuses on advanced computer vision, machine learning, and AI-driven multimodal systems, with contributions to generative models, vision-language integration, and 3D scanning technologies. Key research interests include visual personalization (ViPer), multimodal learning (4M series), and scalable vision pipelines (Omnidata). His work bridges theoretical advancements with practical applications in embodied AI, robotics, and creative technologies. He is actively involved in the VILAB, contributing to projects that address challenges in cross-modal understanding and adaptive systems. Roman’s publications reflect a strong emphasis on innovation in AI, with recent work exploring flexible tokenization (Flextok) and task-agnostic vision models (4M-21). His research has implications for robotics, generative AI, and data-driven decision-making in complex environments.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Christoph Hölscher is a Full Professor and Chair of Cognitive Science at ETH Zurich, Department of Humanities, Social and Political Sciences. He is also an Honorary Senior Research Fellow at University College London’s Bartlett School of Architecture / Space Syntax group and has held visiting positions at UC Santa Barbara. His work bridges cognitive science, architectural design, and human-computer interaction. PhD in Psychology, University of Freiburg (2000) Habilitation in Psychology, University of Freiburg (2009) Project Manager, IT Industry (2000–2003) His research centers on spatial cognition , wayfinding in built environments , and usability in architectural design . He employs methods such as virtual reality, eye-tracking, and behavioral experiments to study how people navigate and interact with complex spaces. His work integrates cognitive psychology with urban planning and architecture to improve building legibility and user experience. The most recent publications reflect a strong interdisciplinary trend, combining cognitive science , urban systems , and virtual environments . Key themes include crowd simulation in emergencies, spatial reference frames in navigation, multi-level wayfinding challenges, and gaze behavior during spatial decisions. These studies often use immersive technologies and space syntax analysis to evaluate architectural configurations. Governing Board, Cognitive Science Society (since 2012) Board of Directors, SFB/TR8 Spatial Cognition (2007–2012) Co-chair, 33rd Annual Conference of the Cognitive Science Society (2011) Co-chair, Spatial Cognition International Conference (2010) Hölscher leads significant research initiatives connecting cognitive science with architectural practice. He has advised on evidence-based design, developed tools for recording spatial behavior (e.g., iPad apps), and promoted the use of personas in architectural design. His lab collaborates across disciplines, involving computer scientists, architects, and psychologists in projects focused on navigation support, spatial learning, and building usability. Future work appears to emphasize real-time spatial behavior analysis, integration of mobile technologies, and cross-modal perception in complex environments.

• Spatial Cognition
• Wayfinding in Built Environments
• Human-Computer Interaction
• +۱۲ مورد دیگر

Prof. Dr. Yulia Sandamirskaya is a faculty member at Zurich University of Applied Sciences (ZHAW) in the School of Life Sciences and Facility Management. She leads the Institute of Computational Life Sciences and is an ORCID-registered researcher with a focus on neuromorphic computing and cognitive systems. Her work bridges computational neuroscience with practical robotics applications. Robotics for dementia care Neuromorphic computing Embodied AI systems Spiking neural networks Industrial force-control systems Human-robot interaction Her recent publications demonstrate expertise in neuromorphic architectures for sensory processing, including visual scene understanding, spectral classification, and real-time control systems. She actively contributes to setting benchmarks in neuromorphic computing and develops practical applications in healthcare robotics. Current projects include RobotCare (service robots for elderly care), Neuromorphic Technology for Embodied AI , and Emerging AI (completed). She collaborates with institutions in Switzerland, UAE, and Italy while working on industrial applications of neuromorphic systems.

• Neuromorphic Computing
• Robotics
• Cognitive Systems
• +۳ مورد دیگر

Prof. Dr. Sarah Degallier Rochat serves as Head of Humane Digital Transformation at Bern University of Applied Sciences (BFH), where she is a Professor in the Department of Technology and Computer Science. She is affiliated with the Institute for Human Centered Engineering (HuCE) and specifically works within the Laboratory for Computer Perception and Virtual Reality. Her research spans multiple institutional collaborations including the Institute for Data Applications and Security (IDAS) at BFH and partnerships with the University of Fribourg on experimental studies. Professor Degallier Rochat's research focuses on human-robot interaction , collaborative robotics , and humane digital transformation . She challenges the notion of complete human replacement by technology, advocating instead for human augmentation where technology empowers rather than mechanizes workers. Her work examines how humans and robots can work together effectively in industrial settings, with particular emphasis on developing intuitive interfaces for robot programming that promote digital skills acquisition among workers through experiential learning rather than symbolic cognition. Her research has evolved from foundational work in motor primitives for humanoid robots to current applications in industrial settings. She investigates the human factors involved in digital transformation, with special attention to workers with intermediate and lower levels of education who are often overlooked in digital skills training. Her approach emphasizes embodied cognition and work experience as foundations for developing effective human-machine interfaces that leverage existing worker knowledge. Human augmentation through collaborative robotics Intuitive robot programming interfaces (visual programming) Digital skills development for industrial workers Human-centered approaches to digital transformation Ethical considerations in human-robot collaboration Workplace adaptation to new technologies Professor Degallier Rochat has secured funding from diverse sources including Innosuisse, the Gerbert Rüf Foundation, and SNF. With support from the Gerbert Rüf Foundation's First Venture program, she co-founded a spin-off company aimed at making automation profitable for SMEs through employee training. Her research demonstrates significant practical impact, with interface designs tested across 116 participants showing positive effects on programming anxiety and usability. Her laboratory develops practical solutions for human-robot collaboration in manufacturing environments, creating interfaces that workers can use without extensive technical training. Through numerous publications, conference presentations, and media engagements, she actively contributes to the discourse on ethical and human-centered technological development in industry.

• Human-robot interaction
• Collaborative robotics
• Digital skills training
• +۵ مورد دیگر

Tom Avermaete serves as Professor of the History and Theory of Urban Design at ETH Zurich's Department of Architecture since 2018. His research investigates urban design through three interconnected lenses: cities as material culture, cross-cultural knowledge exchange beyond Euro-American paradigms, and urban development as a shared civic responsibility. His scholarly work centers on intercultural urbanism, examining how architects and planners operate across geographical and cultural boundaries. Key research strands include the historical development of urban commons, postcolonial urban histories (particularly in Africa), pandemic-era spatial adaptations, and alternative historiographic methods for global architectural history. His approach emphasizes the material dimensions of urban design while challenging Western-centric narratives. Avermaete's recent publications reveal consistent thematic clusters: pandemic urbanism (notably balcony studies), cross-cultural architectural exchanges (especially in postcolonial contexts), and reconceptualizing urban commons. His work frequently employs 'contact zone' theory to analyze knowledge transfer in global urban development, with significant focus on African and European case studies. As chair leader, he supervises research projects including 'Codes and Conventions for Future Zurich,' 'Exploring the Contact Zone,' and 'Building the Commons.' His team investigates qualitative densification strategies, historical urban models, and communal land use patterns across temporal and geographical contexts. Co-organized 'Transects through Alpine Water Landscapes' summer school (2020) Coordinated research studio on Zurich's land/water/green commons Developed 'Swiss Coloniality' research program examining knowledge circulation The chair functions as an international hub for critical urban studies, with members conducting fieldwork across Africa, Asia, and Europe while developing new methodologies for writing inclusive architectural histories that center non-Western perspectives and collective spatial practices.

• Urban Design History
• Intercultural Urbanism
• Material Culture of Cities
• +۴ مورد دیگر