Associate Professor of Computer Science with over two decades of experience specializing in urban visual computing, inverse procedural modeling, and generative deep learning for 3D reconstruction and synthesis. This expert brings deep expertise across computer graphics, computer vision, and artificial intelligence, pioneering innovative methods for automated 3D city modeling and image-based rendering. Strong credentials include 170+ peer-reviewed publications in flagship venues like ACM SIGGRAPH and IEEE CVPR, and 8 U.S. patents in computer graphics and image processing.
Formal Education
- Ph.D. in Computer Science from University of North Carolina at Chapel Hill
- M.S. in Computer Science from University of North Carolina at Chapel Hill
- B.S. in Computer Science from Brown University, Magna Cum Laude
Career Highlights
- Promoted to Associate Professor of Computer Science at a leading research university
- Served as Member of Technical Staff in an image and video processing lab at a major technology company
- Conducted research as Research Scientist at a prestigious research institution; Visiting Professor at leading international institutions
- Directed significant federal and private research funding as Principal or Co-Principal Investigator
- Authored 170+ peer-reviewed publications in flagship conferences and leading academic venues
- Holds 8 U.S. patents in computer graphics, 3D reconstruction, and image processing technologies
Expert Qualifications
- Testifying expert in patent litigation for multiple leading technology companies in matters involving computer graphics, image processing, and visual computing
- Experience with U.S. Patent and Trademark Office (PTAB) proceedings, federal district court litigation, and U.S. International Trade Commission cases
- 170+ published peer-reviewed papers in flagship conferences and holder of 8 U.S. patents in computer graphics and image processing
- Recognized expert in procedural 3D modeling, image-based reconstruction, generative deep learning, and GPU-accelerated rendering technologies
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Frequently Asked Questions
What types of cases can this expert support?
Testifies in patent litigation involving computer graphics, image processing, and visual computing. Has handled federal court cases, PTAB proceedings, and ITC matters. Cases involving 3D modeling, image reconstruction, or generative AI are within scope.
What is this expert's technical background?
Associate Professor of Computer Science with a Ph.D. and M.S. from UNC Chapel Hill, plus a B.S. from Brown University (Magna Cum Laude). Over 20 years in research—worked at leading institutions including a major tech company's image and video processing lab. Published 170+ papers in flagship venues like SIGGRAPH and CVPR; holds 8 patents.
What technologies does this expert specialize in?
Procedural 3D modeling, image-based 3D reconstruction, and generative adversarial networks (GANs). Also experienced with computer vision, GPU-accelerated rendering (CUDA), deep learning, satellite image processing, urban digital city modeling, camera calibration, and omnidirectional image synthesis. The common thread: 3D visual data, AI-driven generation or analysis, and GPU acceleration.
- Generative Adversarial Networks
- Computer Vision
- Graphics Rendering Systems
- CUDA / GPU Programming
- 3D Reconstruction Algorithms
- Deep Learning
- Procedural Modeling
- Satellite Image Processing
- U.S. District Courts
- Patent Trial and Appeal Board