جست‌وجوی استاد و پژوهشگر

Olga Sorkine Hornungمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Geometry Processing
• +۳ مورد دیگر

Prof. Olga Sorkine Hornung is a Full Professor of Computer Science at ETH Zürich, leading the Interactive Geometry Lab. She holds a BSc and PhD from Tel Aviv University (2000 and 2006) and conducted postdoctoral research at Technical University Berlin. Her research focuses on computer graphics, geometric modeling, and geometry processing, with applications in shape editing, digital fabrication, and animation. She has received numerous accolades, including the ACM Fellowship (2020), ERC Consolidator Grant (2020), and the Golden Owl Teaching Award (2021). Her work bridges theoretical foundations and practical algorithms, addressing challenges in parameterization, surface compression, and interactive design tools. Her research interests span: Computer Graphics & Visualization Geometric Modeling & Processing 3D Content Creation & Digital Fabrication Garment Design & Simulation Human Motion Analysis & Animation Awards and grants include: 2024: Best Paper Honorable Mention (EUROGRAPHICS) 2023: Member of Swiss Academy of Engineering Sciences (SATW) 2020: ERC Consolidator Grant 2017: Rössler Prize (ETH Zurich) Her lab focuses on developing novel methods for interactive geometry processing, with recent advancements in garment modeling (e.g., AIpparel, Rags2Riches) and motion retargeting systems like WalkTheDog. She actively collaborates on interdisciplinary projects, including biomedical applications and sustainable fashion technology.

Nancy Pollardمشاهده پروفایل

استاد

• Computational Neuroscience
• Computer Graphics
• Robotics
• +۴ مورد دیگر

Nancy Pollard is a Professor at Carnegie Mellon University, affiliated with both the Robotics Institute and the Computer Science Department. Her research focuses on understanding physical interaction with the environment through robotics and computer graphics, particularly in areas like dexterous manipulation, human motion analysis, and soft robotics. She explores how human examples can inform robot control policies and create natural-looking animations. Her work bridges robotics and graphics to solve challenges such as optimizing motion for humanoid robots and improving the realism of animated hands. Key projects include developing fast physically plausible motion techniques, studying hand motion complexity, and creating intuitive tools for modeling hand-object interactions. She also investigates the physical correctness thresholds in graphics and the design of affordable soft robotic hands for real-world applications like agriculture. Recent publications highlight advancements in motion retargeting for anthropomorphic manipulations, co-optimization of soft robotic hand design and control, and frameworks for sensor placement in soft hands. Her research emphasizes human-inspired approaches to robotics and the application of biomechanical insights to improve robotic dexterity. Pollard advises students such as Arjun Lakshmipathy and collaborates on projects involving both academic and industrial applications. Her work has been supported by grants focused on robotics design and simulation-based manipulation capture.

He Wangمشاهده پروفایل

دانشیار

• Computer Graphics
• Computer Vision
• Machine Learning
• +۶ مورد دیگر

Dr. He Wang is an Associate Professor in the Department of Computer Science at University College London (UCL), affiliated with the Virtual Environment and Computer Graphics (VECG) group and the UCL Centre for Artificial Intelligence. He holds a Visiting Professorship at the University of Leeds and previously served as an Associate Professor and Lecturer there, as well as a Senior Research Associate at Disney Research Los Angeles. His research focuses on computer graphics, vision, and machine learning, with notable contributions to crowd simulation, generative models, and physics-informed neural networks. Dr. Wang earned his BEng from Zhejiang University and his PhD from the University of Edinburgh, followed by postdoctoral work at the University of Edinburgh's School of Informatics. He has been recognized as a Turing Fellow and serves as an Academic Advisor to the Commonwealth Scholarship Council and an Associate Editor of Computer Graphics Forum . His research spans cutting-edge topics including 3D reconstruction, adversarial attacks on motion recognition, and AI-driven groundwater modeling. He has supervised six PhD students to completion and actively engages in collaborative projects, consultancy, and grant evaluations. His lab welcomes students through dedicated recruitment channels.

Leif Kobbeltمشاهده پروفایل

استاد

• Computer Graphics
• Geometry Processing
• Interactive Visualization
• +۳ مورد دیگر

Leif Kobbelt serves as a University Professor at RWTH Aachen University, leading the Computer Graphics Group within the Department of Computer Science (Informatik 8). His research focuses on advancing geometry processing, interactive visualization, and computer graphics through innovative algorithmic solutions and interdisciplinary collaborations. Professor Kobbelt's research program centers on geometry acquisition and processing, with significant contributions to mesh generation, surface reconstruction, and neural rendering techniques. His work bridges theoretical geometry with practical applications in computer vision, photo-realistic image synthesis, and multimedia data transmission, often involving collaborations with industry partners and international research teams funded by DFG and EU sources. Recent publications (2023-2025) reveal a strategic integration of deep learning with traditional geometry processing, particularly in Gaussian splatting for real-time rendering, NeRF-based 4D content generation, and robust mesh Boolean operations. His group maintains leadership in quad mesh optimization and surface mapping while expanding into immersive visualization techniques for complex data analysis. The group has earned recognition through prestigious awards: Günter Enderle Best Paper Award at Eurographics 2023 Best Paper Award (1st place) at Symposium on Geometry Processing 2022 Honorable Mention for Best Paper at ACM Symposium on Virtual Reality Software and Technology Funding from Deutsche Forschungsgemeinschaft and European Union programs supports the group's research infrastructure and international collaborations. The team actively supervises graduate theses while developing open-source software tools that translate theoretical advances into practical industry applications, particularly in digital fabrication and immersive visualization systems. The Computer Graphics Group operates as a central hub for visual computing research at RWTH Aachen, maintaining strong ties with both academic institutions and technology companies. Their recent work on virtual reality educational tools and high-fidelity 3D reconstruction systems demonstrates commitment to knowledge transfer and real-world impact beyond traditional publication venues.

Matthias J. Schnellمشاهده پروفایل

استاد

• Vaccine Development
• Viral Pathogenesis
• Immunology
• +۳ مورد دیگر

Matthias J. Schnell serves as Director of the Jefferson Vaccine Center and Professor & Chair of Microbiology & Immunology at Thomas Jefferson University's College of Life Sciences, with additional professorship in Biochemistry & Molecular Biology. His research spans vaccine development and viral pathogenesis. His laboratory pioneers Rhabdovirus-based vector vaccines against HIV/SIV, Anthrax, and Botulism using molecular adjuvants and retargeted immune responses, while developing safer rabies vaccines for wildlife and humans. Pathogenesis research examines rabies neurotropism, neuronal transport mechanisms, and host protein interactions with viral phosphoprotein/glycoprotein. Scientific Awards: No awards documented in source material Advising and Grants: Source text provides no details on advisees, grants, or funding sources. Labs and Teams: Leads the Jefferson Vaccine Center research laboratory focused on attenuated rabies virus vectors and host-pathogen interactions, with active HIV vaccine candidates in primate trials.

Lihong Zhangمشاهده پروفایل

استاد

• VLSI Design Automation
• MEMS Design and Optimization
• Analog and Mixed-Signal Circuit Design
• +۷ مورد دیگر

Dr. Lihong Zhang is a Full Professor in the Department of Electrical and Computer Engineering at Memorial University of Newfoundland. He holds a PhD in Electrical Engineering from Otto-von-Guericke University (Germany) and has held post-doctoral positions at Concordia University, Dalhousie University, and the University of Washington. His research focuses on VLSI design automation, analog/mixed-signal circuits, MEMS, energy harvesting, and biomedical instrumentation. Dr. Zhang leads the CADLAMS lab, supported by NSERC, CFI, and industry partners. Education: B.E. (H.U.S.T. Wuhan), M.Sc. (Eng.) (H.U.S.T. Wuhan), Ph.D. (Otto-von-Guericke University, Germany). Research Interests: VLSI design automation, MEMS design, renewable energy harvesting, microfluidics, wireless sensor networks, and EDA tools. His work addresses challenges in nanometer-scale technologies, including layout-dependent effects and manufacturability. Awards: 2008 CFI Leaders Opportunity Fund, 2016 Memorial University Research Excellence Award. Grants include funding from NSERC, CFI, and industry collaborations. Students and Collaborations: Supervises over 50 graduate students and collaborates with industry partners like Cadence, Synopsys, and IBM. Active in editorial roles for IEEE journals and conference organization. Lab Infrastructure: CADLAMS lab includes advanced computing resources, EDA software, and lab equipment for circuit prototyping and testing.

Taku Komuraمشاهده پروفایل

استاد

• Computer Graphics
• Physical Simulation
• Character Animation
• +۶ مورد دیگر

Roles & Affiliations: Professor of Computer Graphics at the Department of Computer Science, University of Hong Kong (since 2020). Previously at University of Edinburgh (2006-2020), City University of Hong Kong (2002-2020), and RIKEN (2000-2002). Holds a BSc, MSc, and DSc in Information Science from the University of Tokyo. Research Interests: Focuses on physically-based animation, character animation, 3D modeling, cloth animation, and robotics. Recent work emphasizes machine learning integration into animation synthesis. Notable projects include MotionNet (3D motion reconstruction), neural state machines for character interactions, and fracture simulation with material points. Publications: Over 100 peer-reviewed papers spanning SIGGRAPH, Eurographics, and IEEE journals. Recent work emphasizes deep learning applications in animation, medical imaging analysis, and physics-based simulations. Key trends include neural networks for motion synthesis, transformer-based models for 3D gestures, and topology-aware shape reconstruction. Awards: Royal Society Industry Fellowship (2014), Google AR/VR Research Award (2017). Recognized for contributions to physically-based animation and medical imaging AI. Labs & Collaborations: Leads research groups in computer graphics and AI at HKU. Collaborates with institutions on robotics, VR/AR, and medical imaging projects. Active in organizing SIGGRAPH and Eurographics conferences.

Ying Xuمشاهده پروفایل

دانشیار مدعو

• Architectural Engineering
• Building Energy and Environments
• Emissions of SVOCs from polymeric materials and their interaction with airborne particles and interior surfaces

Dr. Ying Xu is an Adjunct Associate Professor at the University of Texas at Austin, specializing in architectural engineering, building energy systems, and the environmental impact of materials. Her technical focus includes emissions from polymeric materials and their interactions with indoor environments. She holds a Ph.D. (Virginia Tech, 2009), M.E. (Tsinghua University, 2004), and B.E. (Tsinghua University, 2001). Research interests span sustainable building technologies, indoor air quality, and the mitigation of SVOC emissions. Her work also explores advanced analog IC design methodologies, including automation tools like MAGICAL and neural network-guided routing systems. She has contributed to innovations in low-power sensor circuits, VCO-based architectures, and optical logic synthesis. Publications emphasize automation in circuit layout, energy-efficient designs, and hybrid system architectures. These contributions reflect expertise in both environmental engineering and cutting-edge electronics research.

Miao Wangمشاهده پروفایل

دانشیار

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +۱۲ مورد دیگر

Miao Wang is an Associate Professor at the State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University. He earned his PhD in Computer Science and Technology from Tsinghua University in 2016 under the supervision of Prof. Shi-Min Hu, following a bachelor's degree from Xidian University in 2011. He conducted postdoctoral research at Tsinghua University from 2016 to 2018 before joining Beihang University in 2018. PhD in Computer Science and Technology, Tsinghua University (2011–2016) Bachelor of Computer Science and Technology, Xidian University (2007–2011) His primary research interests include computer graphics, virtual and augmented reality, visual media computing, and computer vision. He focuses on 3D AIGC for extended reality (XR), digital avatars, redirected locomotion, and immersive collaborative interaction in VR/AR environments. His work bridges algorithmic innovation with practical immersive applications. The recent publications highlight a strong trend in neural rendering, avatar synthesis, and intelligent interaction in virtual environments. Key themes include 3D Gaussian representations, neural fields for real-time avatar generation, semantic-aware locomotion adaptation, and redirected walking techniques. These works are published in top venues such as CVPR, IEEE TVCG, ACM TOG, and IEEE VR, reflecting cutting-edge contributions in graphics and immersive systems. IEEE VR 2025 Best Paper Award CAD/Graphics 2023 Best Paper Award CVMJ 2019 Honorable Mention Award National Science and Technology Progress Award (2nd Prize, rank 9) Higher Education Teaching Achievement Incentive Program (Special Class, rank 2) Xiaomi Young Scholar Beihang University Young Talent Miao Wang actively supervises PhD and master’s students, hosts undergraduate interns, and leads a vibrant research team. He has secured funding from the National Natural Science Foundation of China and participates in key national and regional projects. His team maintains strong international collaborations with researchers from Tsinghua University, Cardiff University, Universität Hamburg, and others. He also contributes to the academic community through service on program committees of IEEE VR, ISMAR, Pacific Graphics, and CVM, and holds leadership roles in the China Computer Society and China Graphics Society. He leads research in the State Key Laboratory of Virtual Reality Technology and Systems at Beihang University, where his team develops tools and frameworks for immersive media, including OpenRDW, a library for redirected walking. The group fosters innovation through interdisciplinary collaboration and international engagement.

• Computer Graphics
• Shape Modelling
• Computer Animation
• +۱۰ مورد دیگر

Marie-Paule Cani is a Professor of Computer Science at Ecole Polytechnique (IP Paris), where she serves as Dean of the Master of Science and Technology program. She is a member of the Académie des sciences and leads research in the LIX laboratory (CNRS/Ecole Polytechnique, IP Paris). Her career spans several prestigious institutions including Grenoble INP and Collège de France. Dr. Cani earned her M.Sc. in Computer Science from Ecole Normale Supérieure & University Paris XI in 1987, followed by a Ph.D. in Computer Graphics from University Paris XI in 1990 under advisor Claude Puech. She completed her Habilitation in Computer Science from Institut National Polytechnique de Grenoble in 1995. Professor Cani's research focuses on advancing user-centered, creative 3D modeling and animation systems. Her work aims to develop intelligent systems that help users express shapes in motion they have in mind, whether they are computer artists, engineers, or scientists from other disciplines. She pioneered methodologies that provide expressive, gesture-based control (such as sketching, deformation, copy-pasting) while augmenting graphical models with knowledge from priors or statistics learned from examples. Her research spans multiple areas including implicit surfaces, developable surfaces, procedural models, physically-based animation, and sketch-based modeling. Her recent publications demonstrate a continued focus on innovative approaches to 3D modeling, animation, and simulation. Her work bridges computer graphics with applications in geology, biology, and virtual environments. Recent trends show increasing integration of machine learning techniques with traditional graphics approaches, particularly in procedural modeling and animation control. ACM Siggraph Steven A. Coons Award (2023) Member of the ACM Siggraph Academy (2019) Member of Academia Europaea (2013) Silver medal from CNRS (2012) EUROGRAPHICS award for Outstanding Technical Contributions (2011) Irène Joliot Curie national award, mentorship category (2007) Junior member of the Institut Universitaire de France (1999) Professor Cani has supervised numerous students throughout her career and has led multiple significant research projects funded by prestigious organizations. Her ERC Advanced Grant EXPRESSIVE (2012-2017) focused on EXPloring RESponsive Shapes for the creation of Interactive Virtual Environnements. She created and led the STREAM Team at LIX from 2016-2019. More recently, she has been Principal Investigator in the chair between Google and Ecole Polytechnique on Artificial Intelligence & Visual Computing (2018-2021), and in the International Training Network CLIPE (2020-2024), funded by the European Research Council. She currently leads the interdisciplinary project Paleomob-3D (2023-2026) between LIX and HNHP, funded by CNRS 80-Prime. Professor Cani has led several research teams throughout her career, including the Imagine joint team (Inria/LJK lab, 2011-2016) and the Evasion joint team (Inria/GRAVIR lab, 2003-2010). She currently leads research in the LIX laboratory at Ecole Polytechnique, where she was the leader of the "Modeling Simulation and Learning" pole from 2019 to 2023.

Afsoon Soudiمشاهده پروفایل

استادیار

• Responsible AI
• Media Analytics
• Ethical Machine Learning
• +۴ مورد دیگر

Afsoon Soudi is Assistant Professor in Media Production at Toronto Metropolitan University and Associate Director of the Creative AI hub. She holds a PhD in Physics from Washington State University and brings industry experience from leadership roles at technology companies including Apple and Napster. Her research integrates Responsible AI, climate change, and media analytics, with emphasis on ethical machine learning and computational social sciences. She holds multiple patents in display technologies and adaptive systems. Soudi promotes equity through inclusive curriculum design and mentorship. She teaches courses on media audiences, AI, and entrepreneurship.

• Augmented Reality
• Human-Computer Interaction
• Data Visualization
• +۳ مورد دیگر

Ross Smith is an academic affiliated with the Wearable Computer Lab at the University of South Australia. He has held former roles at Deakin University and other institutions. His research focuses on augmented reality (AR), spatial computing, data visualization, and wearable technology. Smith's work bridges human-computer interaction with practical applications in fields like healthcare, education, and design. Key research interests include: Situated analytics and immersive data visualization AR/VR interfaces for cognitive and physical tasks Haptic feedback systems in wearable computing Physicalization of data through tangible and haptic interactions Collaborative AR environments for design and remote work Recent publications highlight innovations in: Immersive storytelling via AR Haptic encoding of data through surface textures Adaptive AR interfaces for sleep-deprived users Medical rehabilitation using jamming-based haptics His work often involves interdisciplinary collaborations, particularly with Bruce H. Thomas and other researchers in the Wearable Computer Lab. Smith's contributions span over 100 peer-reviewed articles across conferences like CHI, ISMAR, and VR, reflecting his leadership in AR/VR research.

• 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.

Jon Denningمشاهده پروفایل

دانشیار

• Algorithms
• Computer Graphics
• Data Structures
• +۵ مورد دیگر

Jon Denning is an Associate Professor and Department Chair of Computer Science & Engineering at Taylor University. With a PhD in Computer Science from Dartmouth College and a BA in Computer Science & Mathematics from Tabor College, his work bridges algorithms, computer graphics, and video game development. PhD, Computer Science, Dartmouth College BA, Computer Science & Mathematics, Tabor College His research focuses on mesh editing workflows , 3D modeling tools , and Blender add-ons , including the development of RetopoFlow, one of the top-selling Blender add-ons. His publications on MeshGit and AppWarp highlight innovations in collaborative mesh manipulation and material retargeting. Scientific Contributions: Featured Scholarship in ACM Transactions on Graphics (SIGGRAPH/SIGGRAPH Asia) Key publications from 2010-2017 on mesh workflows, texture generation, and illumination control

• Computer Vision
• Machine Learning
• Robotics
• +۷ مورد دیگر

Yuxiong Wang is an Assistant Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC). His research focuses on computer vision, machine learning, and robotics, particularly in open-world perception, meta-learning, generative modeling, and agent learning. He previously held a postdoctoral position at Carnegie Mellon University and obtained his Ph.D. from the Robotics Institute under Prof. Martial Hebert. He has received notable awards including the Best Paper Honorable Mention at ECCV 2020 and Best Paper Finalist awards at CVPR 2019 and 2022. His work bridges generative and discriminative AI, with contributions to 3D vision, human-object interaction, and vision-language models. Recent research highlights include RandAR (decoder-based visual generation), InterMimic (physics-based human-object control), and Argus (vision-centric reasoning). He teaches courses such as CS 445 (Computational Photography) and CS 598 LTL (Learning to Learn). His group actively collaborates with NVIDIA and Electronic Arts, and his work has been funded by grants from NASA and the NCSA. Current projects explore meta-learning, open-world learning, and applications in robotics, healthcare, and materials science.