جست‌وجوی استاد و پژوهشگر

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.

• Wearable Technology
• E-textiles
• Sensor Technology
• +۷ مورد دیگر

Dr. Rebecca Stewart is a Senior Lecturer in the Dyson School of Design Engineering at Imperial College London, with affiliations to the e-Body Lab and the Human Behaviour and Experience Network. Previously, she held positions at Queen Mary University of London in the School of Electronic Engineering and Computer Science. Her research focuses on wearable technology, audio interfaces, and textile-based sensors, emphasizing accessibility and interdisciplinary collaboration. She leads the e-Body Lab, which develops innovative e-textiles and explores their integration into design and healthcare applications. Education: PhD in Electrical and Electronic Engineering from Queen Mary University of London (2006–2010). Her academic roles include Senior Lecturer at Imperial College London (2023–present) and prior Lecturer positions (2016–2023). Research interests span e-textiles, sensor technology, and human-computer interaction, with notable projects like the STELEC initiative and graphene-based wearable sensors. Key contributions include advancements in durable, UV-resistant sensors and collaborations with textile designers to integrate technology into creative practices. Her work bridges engineering, design, and healthcare, addressing challenges in sustainability and user-centric design.

Ge Wangمشاهده پروفایل

دانشیار

• Computer Music
• Interactive Design
• Virtual Reality
• +۳ مورد دیگر

Ge Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA), with a courtesy appointment in Computer Science. He is also a Senior Fellow and Associate Director at Stanford HAI. His work bridges computer science, music, and design, focusing on interactive audiovisual systems, mobile music, and AI-driven creativity. Education: Ph.D., Computer Science, Princeton University (2008) M.S., Computer Science, Princeton University (2003) B.S., Computer Science, Duke University (2000) Research Interests: Prof. Wang explores the intersection of technology and artful design, emphasizing creativity, accessibility, and human-centered innovation. His projects include the ChucK programming language, the Stanford Laptop Orchestra (SLOrk), mobile apps like Ocarina and Magic Piano (via Smule), and VR music experiences. He advocates for design that balances technical excellence with emotional and philosophical depth. Recent Work: His articles and projects focus on audiovisual systems, AI tools for music (ChAI), VR orchestras (VVRMA), and inclusive design for disabled communities. Recent work expands into web-based music programming (WebChucK) and AI-driven creative tools. Awards: 2016 MacArthur Foundation Fellowship (Guggenheim) 2020 Pamela Z Award for Inclusive Design Multiple ICMA awards for pioneering work in computer music Labs and Teams: He leads the Stanford Laptop Orchestra (SLOrk) and the Stanford VR Design Lab, fostering collaborative research in music technology and immersive experiences. His work is featured in venues like NIME, IEEE, and ACM conferences.

Shuran Songمشاهده پروفایل

استادیار

• Robotics
• Embodied Artificial Intelligence
• Robot Learning
• +۵ مورد دیگر

Shuran Song is an Assistant Professor of Electrical Engineering at Stanford University, with a courtesy appointment in Computer Science. She leads the Robotics and Embodied Artificial Intelligence Lab (REAL@Stanford), focusing on algorithms enabling robots to learn through physical interaction with the world. Her research spans manipulation, perception, and embodied AI, emphasizing generalizable skills for assistive robotics. Affiliations: Stanford University School of Engineering Labs: REAL@Stanford Research highlights include work on dexterous manipulation, deformable object handling, cross-embodiment learning, and robotic systems like TidyBot and ToddlerBot. Notable awards include Best Paper at ICRA 2024 and Amazon Robotics Best Systems Paper Award (2018). Key publications (2023-2025) address topics such as diffusion policies, embodiment generalization, and robot teaching interfaces. She teaches courses like EE/CS227 (Robot Perception) and leads workshops at top conferences (RSS, ICRA, CoRL).

• Computer Vision
• Object Recognition
• Scene Understanding
• +۷ مورد دیگر

Derek Hoiem is a Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC), affiliated with the Siebel School for Computing and Data Science since 2009. He holds a PhD in Robotics from Carnegie Mellon University (2007) and completed a Beckman Postdoctoral Fellowship (2008). As co-founder and Chief Science Officer of Reconstruct, he develops AI-driven tools for construction progress monitoring. His research focuses on computer vision, object recognition, scene understanding, and graphics. Key honors include IEEE Fellow (2022), University Scholar (2022), and the Sloan Research Fellowship (2013). He has received NSF CAREER and Intel Early Career awards, alongside best paper awards at CVPR (2006) and WACV (2015). His teaching excellence is reflected in numerous 'List of Teachers Ranked as Excellent' accolades across multiple semesters. Research interests span 3D reconstruction, neural networks, and multimodal models. His work addresses challenges in visual program generation, neural radiance fields, and construction monitoring through photogrammetry. He leads projects in continual learning, efficient AI systems, and explainable multimodal interactions. Professional contributions include grants from NSF and industry partnerships. He advises on cutting-edge AI applications in construction, graphics, and vision-language integration. His lab’s innovations bridge theoretical advancements with real-world systems like Reconstruct’s Visual Command Center.

• Computer Vision
• Machine Learning
• 3D Reconstruction
• +۳ مورد دیگر

Siwei Zhang is a researcher at the ETH Zürich , focusing on computer vision and machine learning. Their work intersects with robotics, human motion analysis, and egocentric vision. Email: siwei.zhang@inf.ethz.ch Research Interests 3D Human Body Modeling Egocentric Vision Systems Motion Reconstruction & Interaction Neural Architecture Optimization Surgical Pose Estimation Selected Publications (2025-2019) Recent work includes neural volumetric body models (2025), egocentric synthetic data generation (2024), robust human motion reconstruction (2024), surgical pose datasets (2023), and foundational studies in probabilistic mesh recovery, whole-body grasping, and face reenactment (2019-2022). Key trends combine computer vision, robotics, and deep learning with applications in scene understanding and human-computer interaction.

Tim McGrawمشاهده پروفایل

دانشیار

• Virtual Reality
• Scientific Visualization
• Real-Time Computer Graphics
• +۲ مورد دیگر

Tim McGraw is an Associate Professor in the Department of Computer Graphics Technology at Purdue University’s Purdue Polytechnic Institute. He specializes in virtual reality, scientific visualization, and medical image processing, with notable work on diffusion tensor MRI (DT-MRI) visualization and mesh editing in VR. He has held industry roles as a Mechanical Engineer and game developer at Electronic Arts, Schell Games, and Rainbow Studios. Education: Ph.D. in Computer and Information Science and Engineering (University of Florida), B.S. in Mechanical Engineering (University of Florida). Research interests focus on blending computational art with scientific challenges, including real-time graphics, medical imaging, and game development. His recent work explores soft-body physics simulation (e.g., Mesh Mortal Kombat) and thermal imaging analysis. Awards include 2024 Best Paper/Presentation at Motion Interaction Games and 2024 SIGGRAPH Best in Show. Grants include 3D Visualization of Molecular Dissolution (2016) and industry partnerships with NVIDIA, Eli Lilly, and Boeing. He holds four patents related to DT-MRI visualization technologies developed with Siemens Corporate Research. Labs/Teams: Leads the Interactive Graphics Technology Lab, contributing to projects like Bodygraphe (a gestural computing art installation showcased at SIGGRAPH 2016).

Daniela Constantinescuمشاهده پروفایل

استاد

• Haptics
• Mechatronics
• Robotics
• +۳ مورد دیگر

Daniela Constantinescu is an Undergraduate Program Director and Professor in the Department of Mechanical Engineering at the University of Victoria (UVic). She holds a BASc from Transilvania University (Romania), MASc and PhD from the University of British Columbia (UBC). Her research focuses on haptics, robotics, mechatronics, and dynamics and control, with applications in rehabilitation and human performance enhancement. She has been recognized with the Best Paper Award at the 2004 IEEE International Symposium on Haptic Interfaces. Her current research explores haptic rendering of virtual environments, collaborative haptic manipulation, and passivity-based control of robotic systems. Education: BASc (Transilvania University), MASc/PhD (UBC) Roles: Undergraduate Program Director, Professor Affiliations: UVic Mechanical Engineering Her work bridges disciplines such as haptic rendering, telerobotics, and computational dynamics. She investigates topics including virtual constraints for rehabilitation, stable haptic simulation of multibody systems, and impulsive control strategies. She actively mentors graduate students and collaborates with industry on wave energy initiatives like the West Coast Wave Initiative (WCWI).

Wenjie Heمشاهده پروفایل

دانشیار

• Wavelet Analysis
• Multiresolution Tight Frames
• Computer Graphics
• +۵ مورد دیگر

Wenjie He is an Associate Professor in the Department of Computer Science at the University of Missouri-St. Louis. He holds a PhD from the University of Georgia. His research focuses on wavelet analysis, multiresolution tight frames, computer graphics (e.g., subdivision surfaces), image processing, evolutionary algorithms, and noise removal techniques. His interdisciplinary work bridges mathematics and computational methods, with applications in signal processing and data analysis. Education: PhD, University of Georgia Research Interests: Wavelet Analysis and Multiresolution Frames Image Processing and Noise Removal Computer Graphics (Subdivision Surfaces, Stroke-based Rendering) Evolutionary Algorithms His research output includes publications on topics such as nonstationary wavelet frames, spline-based signal processing, and evolutionary optimization techniques for rendering. His work emphasizes mathematical rigor and practical algorithmic solutions for real-world problems. Grants and Labs: No specific grants or labs mentioned in the provided text, but his research aligns with computational and mathematical methodologies common in academic computer science departments.

Morten Rieger Hannemoseمشاهده پروفایل

استادیار

• Computer Vision
• Medical Imaging
• 3D Reconstruction
• +۳ مورد دیگر

Morten Rieger Hannemose is an Assistant Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computer vision, medical imaging, 3D reconstruction, and AI-driven healthcare solutions. He is actively involved in projects like 'Fighting Cancer with Generative AI' and 'Decision support AI for Skin Lesions,' supervising multiple PhD students in these domains. His work contributes to UN Sustainable Development Goals related to health and innovation. Research interests include neural networks, medical image analysis, and computational imaging. Notable achievements include developing methods for digitizing material appearances and estimating diagnostic difficulty in skin lesion diagnosis. He collaborates internationally on topics such as monocular 3D pose estimation and multimodal data fusion. Morten has supervised PhD students in areas like crowd counting through remote sensing, generative AI for cancer diagnostics, and diffusion models for image segmentation. His projects often bridge theory and application, such as creating the 'Sportspose' 3D sports pose dataset. His email is mohan@dtu.dk , and his website is mortenhannemose.github.io .

Dimitris Tzionasمشاهده پروفایل

استادیار

• Computer Vision
• Computer Graphics
• Machine Learning
• +۲ مورد دیگر

Dr. Dimitris Tzionas is an Assistant Professor at the University of Amsterdam leading research at the intersection of Computer Vision, Computer Graphics, and Machine Learning. His work focuses on modeling human appearance, motion, and interactions within physical environments. His research explores: 3D reconstruction of humans and objects from images/video Modeling whole-body interactions with scenes Developing novel representations for articulated motion Creating realistic digital avatars for AR/VR applications Recent publications demonstrate consistent focus on human-object interaction modeling, 3D reconstruction under challenging conditions, and the development of novel datasets. Work frequently appears in top-tier venues like CVPR, ICCV, and ECCV. Awards & Recognition: Outstanding Reviewer - CVPR 2021 Outstanding Reviewer - CVPR 2023 Best Paper Finalist - CVPR 2022 Current PhD students include George Paschalidis and Dimitrije Antic. Research is supported by grants including BMBF funding for 'Machine Learning for Interacting Human Avatars'. The lab maintains collaborations with MPI-IS Tübingen and develops novel capture systems for human motion analysis.

Diego Gutierrezمشاهده پروفایل

استاد

• Computer Graphics
• Light Transport Simulation
• Computational Imaging
• +۵ مورد دیگر

Diego Gutierrez is a Full Professor at the Computer Science Department of the Universidad de Zaragoza, Spain. He leads the Graphics & Imaging Lab at the I3A Institute and is part of the Vision, Image and Neurodevelopment Group at the IIS Aragon Institute. His research focuses on light transport simulation, computational imaging (including non-line-of-sight imaging), virtual reality, material perception, and applied perception for medical applications (via his startup DIVE Medical). He has received the 2022 Eurographics Outstanding Technical Contributions Award and an ERC Consolidator Grant (2016). Education & Affiliations: No explicit education details provided, but he has been a visiting researcher at MIT, Stanford, Yale, UCSD, and other institutions. Research Themes: Physically-based light transport simulation (transient rendering, global illumination) Computational imaging (NLOS imaging, diffractive wave propagation) Virtual reality (user behavior modeling, multimodal perception) Material appearance representation (perceptual metrics, intuitive editing) Medical imaging (visual function assessment) Professional Contributions: Editor in Chief of ACM TAP Associate Editor for ACM TOG and Computer Graphics Forum Program Chair for international conferences Publications & Impact: Over 100 influential papers, including a breakthrough Nature paper on NLOS imaging using diffractive wave propagation. His work on transient rendering, phasor fields, and perceptual material editing has driven field advancements. Grants & Recognition: ERC Consolidator Grant (2016) for intuitive material editing research Named among the 100 most influential researchers of the decade Recipient of the 2022 Eurographics award for technical contributions Labs & Teams: Leads the Graphics & Imaging Lab (I3A Institute) and co-founded DIVE Medical for clinical visual diagnostics. His team's work bridges computer graphics with perceptual science and clinical applications.

• Visual Computing
• Augmented Reality (AR)
• Medical Informatics
• +۴ مورد دیگر

Dr. Philipp Ackermann is a researcher and academic leader at ZHAW Zurich University of Applied Sciences, School of Engineering. His roles include Deputy Head of the Human-Centered Computing Research Group, Head of the Visual Computing Lab, Deputy Programme Director for Medical Informatics, and Delegate for Entrepreneurship in the School of Engineering. His research focuses on Visual Computing (especially Augmented Reality), Medical Informatics , and Digital Health . He leads projects like AR Patterns (design patterns for AR experiences) and Automated Recognition of Modular Product Structures in AR , which explore circular economy applications. His work bridges technical innovation with practical implementation, emphasizing collaboration in immersive technologies and data-driven solutions. Key research trends in his articles include: Advancements in XR technologies (e.g., 3D inference pipelines, physically-based rendering) Collaborative systems in AR/VR environments Applications of AR in healthcare and industrial settings Systematic reviews of collaboration in virtual spaces He has contributed to projects as both leader and team member, addressing topics from surgical proficiency training to intelligent viticulture. His work often emphasizes real-world impact through partnerships between academia and industry. Philipp leads the Visual Computing Lab , fostering interdisciplinary innovation in computer graphics and immersive technologies. His educational contributions include teaching the CAS Advanced Statistical Data Analysis course.

• Geographic Information Systems (GIS)
• Parallel Computing
• GPU Acceleration
• +۳ مورد دیگر

Jianting Zhang is an Assistant Professor of Computer Science at the City College of New York (CUNY). His research focuses on geospatial data management, parallel computing, and GPU acceleration techniques for handling large-scale spatial datasets. He specializes in optimizing spatial query processing, indexing methods for moving objects, and high-performance computing frameworks for web-based GIS applications. His work bridges theoretical algorithm design with practical implementations in distributed and cloud environments. Key research interests include parallel indexing of geospatial rasters and trajectories, efficient spatial join algorithms, and GPU-based acceleration of data compression and visualization. He has explored applications in biodiversity analysis, urban mobility (e.g., NYC taxi data), and query-driven web-GIS systems. His contributions emphasize scalable solutions for big data challenges in geographic information systems. His publications highlight advancements in GPU-accelerated spatial processing, including novel approaches to quadtree construction, sparse matrix operations, and top-K trajectory similarity queries. While no scientific awards are explicitly mentioned, his active publication record reflects sustained contributions to the field of geospatial computing.

Maani Ghaffariمشاهده پروفایل

استادیار

• Robotics
• Autonomous Systems
• Applied Mathematics
• +۷ مورد دیگر

Maani Ghaffari is an Assistant Professor in the Department of Naval Architecture and Marine Engineering and Robotics at the University of Michigan. His work focuses on robotics, autonomous systems, and the integration of applied mathematics with machine learning. He leads the Computational Autonomy and Robotics Laboratory, advancing research in sensor fusion, state estimation, and geometric control. Ghaffari teaches courses such as NA/EECS 568: Mobile Robotics and ROB 101: Computational Linear Algebra . His research interests include robotic perception, planning under uncertainty, and invariant filtering techniques for navigation systems. He has developed frameworks like GPS-DRIFT for marine robotics and contributed to SLAM algorithms for surgical and underwater applications. Ghaffari's work emphasizes robustness in dynamic environments, leveraging Lie algebraic methods and equivariant neural networks. Notable contributions include correspondence-free point cloud registration, Bayesian semantic mapping, and energy-based terrain modeling for legged robots. His research bridges theory and practice, with applications in surgery navigation, autonomous vehicles, and industrial anomaly detection.