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An Emerita Professor of Electrical Engineering with 30+ years of experience pioneering deep learning-based visual compression, image quality assessment, and perceptual signal processing. This expert is a recognized fellow in a leading engineering society and has established extensive expertise in AI/ML, computer vision, and digital image processing. Having authored 180+ peer-reviewed publications, contributed to 8 U.S. patents, and provided expert testimony in 25+ patent litigation cases, this expert commands recognized authority in high-stakes technology disputes.

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

Related Experts

Frequently Asked Questions

What types of cases can this expert support?

This expert handles patent disputes in image processing, computer vision, AI/ML, and video compression—areas where they've testified in 25+ cases for major tech companies. They're also qualified in signal processing, telecommunications, and medical devices.

What is this expert's technical background?

PhD in Electrical and Computer Engineering, with tenure as an Emerita Professor who founded the Image, Video & Usability Lab. They supervised 50 grad students, published 180+ papers, hold 8 patents, and currently lead AI/ML product development as CTO of an AI startup.

What technologies does this expert specialize in?

Neural network-based image compression, JPEG2000 and H.264 video coding, vision transformers, and generative adversarial networks. Also covers image quality assessment, LLMs, autonomous vehicle perception, and adversarial attack defense.

Expert K650M
Technologies
  • Deep neural networks
  • JPEG2000 encoding
  • H.264/AVC video coding
  • Generative adversarial networks
  • Vision transformers
  • Perceptual image compression
  • Image quality assessment
  • Large language models
Venues
  • U.S. District Courts
  • Patent Trial and Appeal Board