An Emerita Professor of electrical engineering and renowned expert in deep learning-based visual compression, image quality assessment, and perceptual signal processing. Founding Director of the Image, Video & Usability (IVU) Laboratory at a major research university, with extensive academic research and commercial product development. Recognized as a fellow in a leading engineering society for contributions to perceptual-based visual processing and digital communications. Extensive collaboration with major technology and defense companies on AI/ML, computer vision, and image processing technologies. Co-founder and Chief Technical Officer of an AI startup leading development of GenAI solutions for NLP and computer vision applications. An exceptionally well-qualified expert witness with demonstrated litigation readiness across multiple technology domains.
Formal Education
- Ph.D. in Electrical and Computer Engineering from a leading research university
Career Highlights
- Founding Director of Image, Video & Usability Laboratory at a top-tier research institution
- Fellow in a leading engineering society for contributions to perceptual-based visual processing and digital communications
- Extensive industry R&D collaboration with major technology and defense companies on AI, computer vision, and image processing products
- Co-founder and Chief Technical Officer of an AI startup, leading GenAI and computer vision product development
- Inventor on 8 issued U.S. patents in AI, machine learning, computer vision, and image/video compression
- Supervised 50 graduate students to completion (25 PhD, 25 MS); published 180+ peer-reviewed papers
- Editor-in-Chief of a leading professional journal in signal processing and related fields
Expert Qualifications
- Provided expert testimony and reports in 25+ patent litigation cases for major technology companies
- Testifying expert in high-stakes patent disputes involving image processing, computer vision, AI/ML, and video compression technologies
- Deep technical expertise in all relevant areas: distributed video coding, image quality assessment, neural networks, compression standards (JPEG2000, H.264), and GenAI solutions
- Recognized industry authority with extensive publication record, patent portfolio, and peer recognition providing credibility and impact in expert testimony
