جست‌وجوی استاد و پژوهشگر

Keenan Craneمشاهده پروفایل

دانشیار

• Computer Science
• Mathematics
• Scientific Computing
• +۷ مورد دیگر

Keenan Crane is the Michael B. Donohue Associate Professor of Computer Science and Robotics at Carnegie Mellon University , with membership in the Center for Nonlinear Analysis and mentorship in the Geometry Collective . His research bridges differential geometry and computer science to develop fundamental algorithms for geometric data processing. Education : BS from University of Illinois at Urbana-Champaign, PhD from Caltech Fellowships : Google PhD Fellow, NSF Mathematical Sciences Postdoctoral Fellow Research focuses on Discrete Differential Geometry , addressing PDE solutions, mesh processing, and geometric modeling through methods like: Walk on Spheres for PDEs Intrinsic Triangulations for robust geometry Repulsive Energy formulations for collision avoidance Recent publications span 2025–2021 , emphasizing grid-free algorithms , anisotropic mesh generation , and differentiable systems . Scientific accolades include Packard Fellowship and NSF CAREER Award . Students include Nicole Feng , Olga Gutan , and Zoë Marschner . During his 2024 sabbatical at Roblox , he does not accept new researchers. Key software contributions include Penrose (math diagram generation) and I♥Mesh (domain-specific language for mesh algorithms).

Siamak Ardekaniمشاهده پروفایل

مدرس ارشد

• Medical Imaging
• Cardiovascular Disease
• Neurological Disorders
• +۳ مورد دیگر

Siamak Ardekani is a Senior Lecturer in the Department of Biomedical Engineering and the Department of Medicine at Johns Hopkins University. He holds a PhD in Biomedical Engineering from UCLA (2006), an MD from Shiraz University of Medical Sciences (1993), and an MS in Biomedical Engineering from Drexel University (2000). His research focuses on computational medical imaging, particularly MRI, to develop statistical shape and function models for early disease detection and therapy monitoring in neurological and cardiovascular disorders. His work emphasizes extracting clinically relevant data from medical images to aid in patient risk assessment and treatment efficacy evaluation. Ardekani's contributions include advancements in cardiac MRI analysis, diffusion tensor imaging (DTI), and automated anatomical modeling. He received the Johns Hopkins Discovery Award in 2020 for multidisciplinary research. His affiliations include the Center for Imaging Science at Johns Hopkins. Ardekani’s research spans computational methods for cardiac motion analysis, MRI-based disease phenotyping, and image registration techniques. He collaborates on projects such as the Cardiovascular Research Grid (CVRG), enhancing data sharing and analysis in cardiovascular studies. His work bridges medicine and engineering, with applications in both clinical and preclinical settings.

Yaser Ajmal Sheikhمشاهده پروفایل

دانشیار

• Computer Vision
• 3-D Vision and Recognition
• Human Behavior Analysis
• +۸ مورد دیگر

Yaser Ajmal Sheikh is an Associate Professor at the Robotics Institute of Carnegie Mellon University (currently on leave) and serves as Director of Facebook Reality Lab in Pittsburgh. His work focuses on "metric telepresence": remote interactions in AR/VR that are indistinguishable from reality. He has made significant contributions to machine perception and rendering of social behavior, spanning computer vision, computer graphics, and machine learning. Dr. Sheikh's research encompasses analyzing dynamism in scenes from moving cameras, with particular focus on dynamic motion reconstruction, human behavior analysis, estimation of nonrigid motion, and modeling moving cameras in spacetime. His work has led to breakthroughs in social robotics, 3D vision and recognition, and multisensor data fusion. He founded and directs the Facebook Reality Lab in Pittsburgh, continuing his work on human-centered robotics and social robots. His publication record demonstrates consistent innovation in computer vision and graphics, with emphasis on human motion capture, facial animation, and social interaction modeling. His most recent work focuses on neural approaches to facial animation, full-body avatars, and capturing the complex dynamics of human interaction. The research shows a clear trajectory from foundational work in motion capture to sophisticated neural approaches for realistic human representation in virtual environments. Popular Science's Best of What's New Award Honda Initiation Award (2010) Best paper awards at WACV (2012), SAP (2012), SCA (2010), ICCV THEMIS (2009) First place in the MSCOCO Keypoint Challenge (2016) Hillman Fellowship for Excellence in Computer Science Research (2004) Dr. Sheikh has advised numerous doctoral and master's students who have gone on to prestigious positions in academia and industry. His research has been generously supported by government agencies including NSF and DARPA, as well as industrial partners such as Intel, Disney, Nissan, Honda, Toyota, and Samsung. He has served on senior committees at major conferences including SIGGRAPH, CVPR, ICRA, and ICCP, and was an Associate Editor of CVIU. He leads the Panoptic Studio project, a massively multiview system for social motion capture that has produced the CMU Panoptic Studio Dataset. His work on OpenPose has become a standard tool in the field for real-time 2D hand, body, and face keypoint detection. His current research at Facebook Reality Lab continues to push the boundaries of what's possible in virtual and augmented reality through advanced computer vision techniques.

Sohaib Ahmad Khanمشاهده پروفایل

دانشیار

• Computer Science
• Computer Vision
• Nonrigid Structure from Motion
• +۴ مورد دیگر

Sohaib Ahmad Khan is an Associate Professor at the Computer Science department under the School of Science & Engineering at Lahore University of Management Sciences (LUMS), Pakistan. He works from Room 9-123A and leads the Computer Vision Lab at LUMS. Research Interests : His work spans Nonrigid Structure from Motion , Template Matching Algorithms , Video Coding , and Geospatial Analysis , with applications in 3D modeling, disaster response (e.g., Pakistan Flood Maps ), and motion capture. He pioneered trajectory space representations for dynamic 3D structures, achieving results comparable to PCA using object-independent Discrete Cosine Transform (DCT) basis. Publications : His research appears in top venues like ECCV , CVPR , NIPS , and journals such as ACM Transactions on Graphics and IEEE TPAMI , often with high-impact acceptances (e.g., 4.1% CVPR 2009 oral, 2.7% NIPS 2008 oral). Co-authors include Yaser Sheikh , Ijaz Akhter , and advisee Arif Mahmood (PhD 2011). Projects : He developed Pakistan Flood Maps portal for settlement mapping in flood zones and contributed to STEP! Science Technology and Education in Pakistan initiatives. His lab provides datasets and tools for research reproducibility.