جست‌وجوی استاد و پژوهشگر

Ke Liمشاهده پروفایل

پژوهشگر

• Mixed Reality
• Augmented Reality
• Computer Graphics
• +۶ مورد دیگر

Dr. Ke Li is a postdoctoral researcher at the University of Hamburg, working within the Human-Computer Interaction group at the Department of Informatics. She is currently leading the development of intelligent virtual human technologies as part of the European Union-funded project PRESENCE. Her work bridges computer science, human-computer interaction, and physics applications, focusing on creating immersive experiences for complex operational environments. Dr. Li received her Bachelor's of Science degree in Physics from Centre College (USA) in May 2018 and her Master's degree in Optics and Photonics from the Friedrich Schiller University Jena (Germany) in April 2021. She completed her PhD as a fellow of the Helmholtz Graduate School for the Structure of Matter (DASHH) in October 2024, successfully defending her dissertation entitled "Towards a Particle Accelerator Metaverse: Mixed Reality Interfaces for Operations of Complex Physics Facilities" under the supervision of Prof. Frank Steinicke, Dr. Reinhard Bacher, and Prof. Wim Leemans. Dr. Li has a strong technical background in mixed and augmented reality, with research interests spanning immersive head-mounted displays, computer graphics and vision (particularly Neural Radiance Fields and 3D Gaussian Splatting), intelligent virtual agents, and human-robot interaction. Her work often combines theoretical computer science with practical applications in scientific environments, particularly focusing on how immersive technologies can improve workflows in complex and hazardous conditions like particle accelerator facilities. Analysis of Dr. Li's publications reveals a clear progression from foundational work in mixed reality display technologies (2022-2023) toward increasingly sophisticated applications of neural rendering techniques and intelligent virtual agents (2024-2025). Her research consistently bridges the gap between theoretical computer graphics and practical applications in scientific environments, with particular emphasis on real-time performance, user experience, and seamless integration of virtual and physical elements. A notable trend is her growing focus on multimodal interaction frameworks that enable more natural communication between humans and intelligent virtual agents. Scientific Awards: Honorable Mention Award for the Best Design at the Student Competition at IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023 Dr. Li serves as a reviewer for various international XR conferences and journals, including IEEE ISMAR, ACM VRST, IEEE TVCG Journal, IEEE VR, and ACM SIGCHI. She has received special recognition for outstanding review work for TVCG journal and paper reviews. Her research is supported by the European Union-funded PRESENCE project and previously by the Helmholtz Graduate School for the Structure of Matter (DASHH) with Grant-No. HIDSS-0002, and the German Federal Ministry of Education and Research (BMBF). Dr. Li is actively involved in the XR Lab at the University of Hamburg and has collaborated with researchers at the German Electron Synchrotron (DESY), the Cyber Interface Lab at the University of Tokyo, and the ARTANIM foundation. Her technical expertise spans Unity development, neural rendering implementation, sensor fusion techniques, and real-time system optimization for immersive applications.

Tanaka Yoshihiroمشاهده پروفایل

استاد

• Haptics
• Tactile Perception
• Robotics
• +۷ مورد دیگر

Professor Yoshihiro Tanaka is a faculty member at Nagoya Institute of Technology in the Department of Electrical and Mechanical Engineering, Mechanical Engineering Major, and Mechanical Engineering Program. He earned his Ph.D. in Engineering from Tohoku University, where he also completed his undergraduate studies advancing a year through the Faculty of Engineering (1998-2001). His academic career includes positions at Daido University (2012), Fujita Health University (2011-2012), and Utrecht University as a Visiting Assistant Professor (2011). He was also a Specially Appointed Associate Member of the Science Council of Japan (2010-2014) and a Japan Society for the Promotion of Science Research Fellow (2005-2006). Professor Tanaka's research focuses on the intersection of haptics, robotics, and human perception. His work explores tactile perception mechanisms, wearable haptic interfaces, and body integration systems. He has made significant contributions to understanding how humans perceive touch, pressure, and vibration, and how this knowledge can be applied to create advanced haptic technologies. His research program examines vibrotactile stimulation, force feedback, skin deformation, and collaborative robotic systems where multiple people can share control through body integration. His recent publications (2023-2024) demonstrate leadership in tactile perception, wearable devices like the Tactile Clip for inducing softness illusions, multimodal remote watching systems using avatar robots, and collaborative robotics. His work often involves interdisciplinary collaboration with researchers like Hikari Yukawa and Kouta Minamizawa, and spans applications from surgical robotics to automotive interface design. Scientific Recognition Japan Society of Mechanical Engineering Robotics and Mechatronics Division Interdisciplinary Research Excellence Award (2024) Nagoya Institute of Technology Faculty Evaluation Special Excellence Award (2024) Nagoya Institute of Technology Faculty Evaluation Excellence Award (2023) SI2022 Excellent Presentation Award (2022) MIPE Award 2022 (2022) Professor Tanaka maintains active professional service as evidenced by his committee roles including Deputy Committee Chair for the Japan Society of Mechanical Engineering's IIP Division Editorial Committee and program committee memberships for multiple robotics conferences. His professional affiliations include the Global Young Academy, Science Council of Japan, IEEE, Society of Instrument and Control Engineers, and The Robotics Society of Japan. His research has resulted in numerous industrial property rights related to tactile evaluation methods, skin vibration analysis systems, and wearable hardness meters, demonstrating strong industry impact.

Alain Paganiمشاهده پروفایل

پژوهشگر

• Computer Vision
• Artificial Intelligence
• Image Understanding
• +۶ مورد دیگر

Alain Pagani is a Principal Researcher and Deputy Director of the Augmented Vision department at the German Research Center for Artificial Intelligence (DFKI) . He leads a team of 10 PhD students and researchers, focusing on Augmented Reality, Computer Vision, and Machine Learning. Research Interests include 3D Computer Vision, Image-based Scene Reconstruction, Object Detection and Tracking, and Extended Reality (AR/VR) applications. His work spans both industrial and academic projects, such as the EU initiatives dAIEDGE , CORTEX² , and FLUENTLY . Scientific Awards include a Google Research Award, Best Paper Award (INI-GraphicsNet 2007 Honorable Mentions), and Best Paper Award (INI-GraphicsNet 2008 Honorable Mentions). Projects like dAIEDGE (AI at the Edge) and CORTEX² (Collaborative XR) highlight his leadership in distributed AI and real-time extended reality systems. He has also coordinated EU projects such as LARA (Outdoor AR using Galileo) and Eyes of Things (Low-power Computer Vision).

• Geometry processing
• Massive model rendering
• Procedural generation
• +۴ مورد دیگر

Antonio Chica is an Associate Professor at the Department of Computer Science, Universitat Politècnica de Catalunya (UPC), specializing in geometry processing, real-time rendering, and virtual reality applications. His research focuses on 3D reconstruction, procedural landscape generation, and LiDAR data optimization. Teaching at Terrassa School of Engineering and Barcelona School of Informatics Member of the Modeling, Visualization, Interaction and Virtual Reality Group Key research areas include: Geometry processing techniques for signed distance fields Procedural generation of 3D landscapes and vegetation Game development frameworks and VR training systems Efficient algorithms for massive point cloud rendering His recent publications emphasize Bayesian reconstruction methods, adaptive SDF approximations, and optimized VR training tools. He actively collaborates on LiDAR data calibration, terrain modeling, and cultural heritage visualization projects. Antonio Chica's work integrates advanced graphics algorithms with practical applications in urban modeling, medical training, and historical preservation. He develops open-source tools like MeshPipe to simplify geometry processing workflows.

Imanol Munoz-Pandiellaمشاهده پروفایل

استادیار

• Computer Graphics
• Cultural Heritage
• 3D Reconstruction
• +۴ مورد دیگر

Imanol Munoz-Pandiella is an assistant professor in the Computer Science Department at Universitat Politècnica de Catalunya – BarcelonaTech (UPC) and a core member of the ViRVIG research center . His work bridges computer graphics and cultural-heritage science, with a focus on 3-D reconstruction, appearance modeling, and interactive visualization of historical artefacts. Education Ph.D. in Computer Graphics (2017) – joint programme between Université de Limoges and Universitat de Girona (supervisors: Stéphane Mérillou, Xavier Pueyo, Carles Bosch, Nicolas Mérillou) Pre-doctoral stay – Yale University (supervisor: Holly Rushmeier) Research Interests Dr Munoz-Pandiella investigates the intersection of Computer Graphics and Cultural Heritage . Current themes include: Appearance change and weathering analysis in architectural heritage High-fidelity 3-D reconstruction from sparse data Interactive narrative frameworks for 4-D (time-varying) heritage models Physically-based rendering and differentiable inverse rendering Color constancy and illumination-robust imaging for conservation science Publication Landscape His 2024–2025 output is dominated by 4-D cultural-heritage visualization , digital restitution of lost or weathered artworks , and real-time rendering techniques . Earlier work (2021–2022) concentrated on LiDAR intensity correction and neural colorization . Collectively, these publications map onto broad disciplines of Computer Graphics , Computer Vision , and Digital Heritage , with sub-fields spanning differentiable rendering, mural-painting restoration, and interactive 3-D exploration. Scientific Awards & Grants Assistant Professor position award – UPC, 2023 Post-doctoral fellow award – DTIC, Universitat Pompeu Fabra, 2023 Participant and grantee – European Cloud for Heritage OpEn Science (ECHOS), 2024 Service & Leadership Program Chair, CEIG 2026 (with Elena Garces) Program Co-Chair, Web3D 2023 Guest Editor, Computers & Graphics special issue on Web3D 2023 Program Committee member, CEIG 2023 Laboratory & Collaborations Dr Munoz-Pandiella conducts his research within the ViRVIG research center at UPC, collaborating closely with cultural-heritage stakeholders across Europe. His interdisciplinary teams integrate art historians, conservation scientists, and graphics engineers to deliver open-source tools and datasets for heritage documentation and dissemination.

• Computational Neuroscience
• Computer Graphics
• Rendering Techniques
• +۳ مورد دیگر

Gustavo Ariel Patow is a Full Professor (Catedrático) at the Department of Computer Science, Applied Mathematics and Statistics, University of Girona, Spain, where he leads the Geometry and Graphics Group (GGG) within the ViRVIG Research Center. He earned his PhD from the Universitat Politècnica de Catalunya, supervised by Xavier Pueyo and Alvar Vinacua, with a focus on Inverse Rendering Problems in Computer Graphics. Following a major health event in 2017 (cardiac arrest), he transitioned his research focus from Computer Graphics to Computational Neuroscience, leveraging his computational expertise to study brain function and disease. His research spans Computational Neuroscience (whole-brain dynamics, Alzheimer's modeling, brain disorders) and Computer Graphics (rendering techniques, procedural modeling). Recent work demonstrates strong interdisciplinary integration between these domains, particularly in: Whole-brain network modeling of neurological conditions Biophysical simulations of Alzheimer's pathology Advanced rendering for medical visualization Computational frameworks for cognitive states He actively advises doctoral candidates including Facundo Roffet, Albert Juncà, David Aquilué Llorens, and Kenneth Alonso Muñoz, and has supervised over 20 Master's/PhD students. As coordinator of UdG's Videogame Development and Design degree, he bridges academic research with applied technology training.

• Virtual Reality
• Augmented Reality
• Computer Graphics
• +۱۶ مورد دیگر

Qi Sun is an Assistant Professor at New York University's Tandon School of Engineering, jointly affiliated with the Department of Computer Science and Engineering and the Center for Urban Science + Progress (CUSP). He leads the Immersive Computing Lab, where his research focuses on advancing virtual and augmented reality through perception-aware computing, neural rendering, and energy-efficient XR displays. Research Interests: His work lies at the intersection of computer graphics, computer vision, and computational perception. He investigates how human perception can guide the design of immersive technologies, with research directions including foveated rendering, generative models for VR/AR, bio-physically inspired wearable displays, and multimodal interaction. His lab collaborates with industry leaders such as Meta to develop next-generation XR systems. The recent publications reflect a strong trend in perception-driven optimization for XR, focusing on reducing computational and energy costs while preserving visual quality. Key themes include gaze-contingent rendering, saliency modeling, holographic compression, and AI-assisted AR guidance. These works are published in top venues like ACM SIGGRAPH, IEEE ISMAR, IEEE VR, and IEEE VIS, often earning best paper awards. Scientific Awards: IEEE Virtual Reality Best Dissertation Award Best Paper Award, ACM SAP 2024 Best Paper Honorable Mention, ACM SIGGRAPH 2024 Best Paper Honorable Mention, IEEE VR 2024 Best Paper Honorable Mention, IEEE VIS 2023 Best Paper Award, IEEE ISMAR 2022 Best Paper Honorable Mention, ACM SIGGRAPH 2022 Best Paper Award, ACM SIGGRAPH 2022 Advising and Grants: Dr. Sun actively recruits PhD students, postdoctoral researchers, and interns, particularly those with backgrounds in neural rendering and generative models. He encourages pre-application collaborations and advises through the Tandon CSE PhD program. His research is supported by academic-industry partnerships, including recent work with Meta on XR display optimization. He promotes interdisciplinary research that bridges urban science, AI, and immersive computing. Labs and Teams: He directs the Immersive Computing Lab at NYU Tandon, which conducts cutting-edge research on human-aligned wearable displays and generative AI algorithms for XR. The lab focuses on making XR devices more efficient, immersive, and accessible for real-world applications in urban environments, healthcare, and education.

Primo Zingarettiمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Neural Rendering
• +۵ مورد دیگر

Primo Zingaretti serves as a Full Professor in the Department of Information Engineering at Marche Polytechnic University's School of Engineering. His academic position focuses on information processing systems within the IINF-05/A scientific sector, maintaining an active research profile with publications extending into 2025. Contact information shows his office is located at via Brecce Bianche in Ancona, Italy, with professional correspondence handled through p.zingaretti@univpm.it. Zingaretti's research spans multiple cutting-edge domains where artificial intelligence intersects with practical applications. His primary focus areas include neural rendering for cultural heritage preservation and fashion technology, augmented reality systems development, and computer vision applications in retail environments. His work demonstrates strong interdisciplinary connections between engineering, cultural studies, and commercial applications. The research portfolio shows particular emphasis on ethical considerations in AI deployment, especially for heritage preservation and creative industries. Analysis of his recent publications reveals a clear trajectory toward practical AI implementations. His 2024-2025 work shows increasing focus on real-time rendering efficiency, ethical frameworks for extended AI, and specialized applications in retail monitoring and cultural heritage protection. The publications demonstrate consistent methodological rigor with strong emphasis on neural network optimization and practical system deployment, particularly in the Italian context including Marche region heritage sites. Zingaretti has developed significant research infrastructure including the open-source DeepReality framework for AI-based AR applications and the SIGNIFICANCE platform for combating cultural heritage trafficking. His work bridges academic research with commercial applications, particularly in retail technology where his shelf monitoring systems and shopper behavior analysis tools show direct industry relevance. Current projects indicate active development in neural rendering systems for fashion design and context-aware generative AI for XR environments.

• Computer Vision
• Computer Graphics
• Computational Neuroscience
• +۳ مورد دیگر

Hongchuan Yu is a Principal Academic in the Department of Computing at Bournemouth University's Media School, UK. His research spans computer vision, computer graphics, and computational neuroscience, with a focus on 3D reconstruction, medical imaging, and adversarial machine learning. PhD in Computer Vision (Chinese Academy of Sciences, 2000) Secured over £2+ million in grants from EU Horizon, Royal Society, and others Member of IEEE (MIEEE) and Fellow of Higher Education Academy (FHEA) His recent work explores machine learning applications in medical volume data and neuron tracing , utilizing implicit neural representations and adversarial training for robustness. Articles highlight domain adaptation , generative models , and 3D Gaussian splatting . Yu collaborates internationally with institutions like National Cheng-Kung University, Hong Kong University, and Southeast University. He supervises PhD students in topics including neuron reconstruction , surface parameterization , and 3D face editing . Grants: Affective Computing Models (EU Horizon) , VR/AR Rendering (Royal Society) , Animation for Cultural Heritage (EU Commission)

• 3D Modeling
• Real-Time Animation
• Computer Graphics
• +۴ مورد دیگر

Damien Rohmer is a Professor of Computer Science at École polytechnique , Institut Polytechnique de Paris. He leads the VISTA research team at LIX (CNRS UMR 7161) and serves as Deputy Director of LIX since 2024. Current PhD supervisions with ANR/CIFRE funding Open-source tool development for computer graphics education Editorial roles in SCA, MIG, SIGGRAPH conferences His research spans 3D modeling , real-time animation , and user-interactive simulation , with applications in entertainment, medical sciences, and design. Key sub-areas include: Character motion retargeting Multi-scale natural phenomenon simulation Field-based implicit modeling Wearable technology visualization Gesture-controlled animation systems Recent publications in SIGGRAPH , Eurographics , and SCA earned multiple Best Paper/Poster awards in 2024-2025. He co-develops the CGP library for educational 3D programming and maintains community resources for French computer graphics institutions.

Benoit Guillardمشاهده پروفایل

پژوهشگر

• 3D Surface Reconstruction
• Neural Networks
• Computer Vision
• +۴ مورد دیگر

Benoit Guillard is a researcher specializing in 3D surface reconstruction and neural network applications. He earned his PhD in 2023 from EPFL’s Computer Vision Lab (CVLAB), focusing on representation learning for 3D geometry. His work bridges computer vision, machine learning, and computer graphics through innovative solutions for garment modeling, LiDAR simulation, and implicit surface processing. Notable contributions include: MeshUDF (ECCV 2022): Differentiable meshing for unsigned distance fields DrapeNet (CVPR 2023): Self-supervised garment draping technique UCLID-Net (NeurIPS 2020): Single-view 3D reconstruction with hybrid architectures His research has garnered recognition through CVPR 2022 Best Reviewer and NeurIPS 2022 Top Reviewer awards. He has served as a reviewer for top-tier conferences including CVPR, ICCV, and SIGGRAPH.

Feng Xuمشاهده پروفایل

دانشیار

• 3D Vision
• Computer Graphics
• Digital Health
• +۴ مورد دیگر

Feng Xu is an Associate Professor at the School of Software, Tsinghua University, Beijing, China. His research bridges computer science , medicine , and neuroscience , focusing on interdisciplinary applications in 3D vision, digital health, and human motion capture. Education : Ph.D. in Automation (2007-2012) and B.S. in Physics (2003-2007), both from Tsinghua University. Research Interests : 3D Vision, Computer Graphics, Digital Health, Physics-based Modeling, and Real-time Human Motion Tracking. His work explores 3D vision and graphics through applications like IMU-based motion capture , NeRF editing , and facial geometry reconstruction . Recent publications emphasize integrating physics-aware models with deep learning for real-time performance, particularly in healthcare contexts such as mediastinal neoplasm diagnosis and radiology report generation . Notable contributions include the EditableNeRF framework for topology editing and Transformer IMU Calibrator for dynamic sensor calibration. His work has received the Best Student Paper Award at IEEE ICME 2019 . Contact : Email: xufeng2003@gmail.com Email: feng-xu@tsinghua.edu.cn

• Operations Research
• Supply Chain Management
• Artificial Intelligence
• +۶ مورد دیگر

Ajay Kumar is a prominent researcher and academic with extensive contributions across multiple domains including Operations Research, Artificial Intelligence, Blockchain, and Biometric Recognition. His work spans a wide range of topics, from digital transformation in supply chains to machine learning applications in healthcare and software engineering. He has collaborated with numerous scholars and published extensively in high-impact journals and conferences. Research Interests: Operations Research, AI in Healthcare, Blockchain Applications, Biometric Recognition, Software Reliability, Digital Transformation Publications: Kumar has authored numerous publications in journals like Annals of Operations Research , IEEE Transactions on Engineering Management , and SN Computer Science , as well as conferences such as CVPR and IC3I. Collaborations: Kumar has worked with leading experts like Kim Hua Tan, Shivam Gupta, Seema Bawa, and others, contributing to interdisciplinary research in supply chain, data science, and IoT. Key Contributions: His research includes innovative frameworks such as blockchain-enabled supply chains, hybrid AI models for diabetes prediction, and scalable tools for genomic data analysis. Emerging Trends: Kumar’s recent work focuses on explainable AI, fake news detection, and integrating IoT with blockchain for secure and efficient systems across health, logistics, and UAV communication.

Saining Xieمشاهده پروفایل

استادیار

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

Saining Xie is an Assistant Professor of Computer Science at NYU Courant Institute of Mathematical Sciences and affiliated with the NYU Center for Data Science. He leads the CILVR research group and teaches courses including Computer Vision, Machine Learning, and Learning with Large Language and Vision Models at the graduate level. His educational background includes a Ph.D. and M.S. from UC San Diego's CSE Department under Zhuowen Tu's supervision, and a bachelor's degree from Shanghai Jiao Tong University. During his doctoral studies, he interned at NEC Labs, Adobe, Facebook, Google, and DeepMind. Dr. Xie's research focuses on advancing robust visual intelligence through scalable and reliable systems that interpret visual events and develop common sense understanding of the world. His work spans computer vision, machine learning, representation learning, and multimodal systems, with particular emphasis on developing architectures that bridge vision and language understanding. His publications demonstrate significant contributions to vision-language models, diffusion models, convolutional neural networks, and 3D scene understanding, with numerous papers appearing at top conferences including NeurIPS, CVPR, and ICCV, often receiving recognition as oral or spotlight presentations. Oral Presentation at NeurIPS 2024 Oral Presentation at CVPR 2024 Spotlight Presentation at ICLR 2023 Oral Presentation at ICCV 2023 Best Paper Nomination at CVPR 2020 Dr. Xie actively mentors PhD students including Ellis Brown, Fred Lu, Xichen Pan, Peter Tong, and others. He has organized major tutorials at CVPR and ECCV on Visual Recognition for Images, Video, and 3D, and his research has practical applications in visual grounding, multimodal reasoning, and robust AI systems. His lab maintains strong connections with industry research labs including FAIR, where he previously worked as a research scientist.

Anders Riddersholm Bargumمشاهده پروفایل

پژوهشگر

• Virtual Reality
• Artificial Intelligence
• Voice Conversion
• +۳ مورد دیگر

Anders Riddersholm Bargum is a Researcher at Aalborg University's Technical Faculty of IT and Design , affiliated with the Department of Architecture and Media Technology . His work spans virtual reality, artificial intelligence, and advanced audio signal processing. Research Focus: Virtual Reality immersion, AI-driven voice conversion, and spatial audio mixing. Collaborations: Active in international networks for digital audio effects and sound computing. Key Publications (2025-2022): Explored AI speech synthesis in VR (2025), non-parallel voice conversion frameworks (2024), and spatial audio design principles (2022). Research trends emphasize deep learning integration, signal alignment techniques, and immersive audio environments. Technical Contributions: Developed differentiable all-pass filters for phase response estimation and optimized voice conversion systems at high sampling rates. His Virtual Reality research includes studies on avatar realism and social presence through synthetic speech.