EXPERT WITNESS
COMPUTER SCIENCE EXPERT WITNESS
Sanjay Ranka, Ph.D.
Distinguished Professor, University of Florida | Former CTO and Co-Founder, Paramark | IEEE and AAAS Fellow
Patent Litigation | PTAB/IPR | Software and Computer Systems
I provide independent technical analysis and testimony in patent litigation and PTAB/IPR proceedings involving computer architecture, GPU and high-performance computing, cloud and distributed systems, AI and machine learning, databases, computer vision, and advertising technology. My background combines more than 35 years of academic and industry experience with expert-witness work for plaintiffs and defendants. I analyze both the underlying algorithms and their implementation in computing systems, including interactions among processors, memory, accelerators, networks, and software. My work connects computer architecture, parallel algorithms, and system implementation to the technical questions at issue.
I have prepared more than 15 expert reports and declarations and have provided deposition and federal jury-trial testimony, including in 800 Adept v. Murex Securities.
sanjayranka@gmail.com | 352-514-4213 | Gainesville, Florida | Available nationwide
TECHNICAL EXPERTISE
AI and machine learning. Neural networks, deep learning, generative models, model training and inference, predictive systems, and optimization.
Cloud, distributed systems and networking. Cloud/edge architectures, virtualization, software-defined networking, resource allocation, scheduling, load balancing and fault tolerance.
Computer Architecture, GPU Computing, and High-Performance Computing. Multicore and heterogeneous CPU/GPU architectures; cache and memory hierarchies; parallel processing; task scheduling and resource allocation; data movement and synchronization; hardware/software interaction; and performance, scalability, and energy optimization. Research includes dynamic cache reconfiguration and partitioning, CPU/GPU workload allocation, and optimization of parallel applications on multicore and GPU systems.
Databases and data systems. Database and storage architectures, indexing, data mining, similarity search, distributed data processing, and real-time analytics.
Computer vision and video/image processing. Object detection and tracking, camera calibration, sensor fusion, video analytics, and edge/server processing.
Advertising technology. Ad serving, user profiles and identifiers, behavioral targeting, cross-source data integration, online experimentation, campaign optimization and inventory-yield management.
HOW I ASSIST COUNSEL
My work includes early technical assessment, technical infringement and invalidity analysis, claim-construction support, source-code and design-document review, testing and benchmarking, expert reports and declarations, rebuttal analysis, and deposition and trial testimony.
I relate the technical evidence to the patent claims and the questions in dispute, examining component responsibilities, interfaces, data and control flow, performance, and implementation constraints.
My technical expertise is also applicable to trade-secret and other technology disputes involving proprietary algorithms, source code, confidential implementations and system performance
ACADEMIC AND INDUSTRY BACKGROUND
I am a Distinguished Professor in the Department of Computer & Information Science & Engineering at the University of Florida, an IEEE and AAAS Fellow, and a named inventor on 13 issued U.S. patents. I have authored or coauthored more than 350 refereed publications and served as principal investigator or co-principal investigator on more than $25 million in externally funded research.
As CTO and co-founder of Paramark (1999–2002), I led development of PILOT, a real-time advertising-optimization platform serving more than 10 million decisions per day at 99.99% uptime. This work combined software product development, distributed computing, online experimentation and optimization.
My research spans parallel and distributed computing, machine learning, transportation systems and connected-health platforms. It also includes scientific data compression and methods for managing large simulation datasets. My research in computer architecture and high-performance computing includes dynamic cache reconfiguration and partitioning, energy-aware multicore scheduling, CPU/GPU workload allocation, and parallel algorithms for large-scale scientific applications. This work examines how architectural design, memory organization, and algorithm implementation influence computing performance, scalability, and energy efficiency.
I have authored or coauthored more than 350 refereed publications and several books spanning computer architecture, parallel and distributed computing, optimization, and machine learning. Selected books include Dynamic Reconfiguration in Real-Time Systems: Energy, Performance, and Thermal Perspectives (Springer, with Weixun Wang and Prabhat Mishra), Modeling and Optimization of Parallel and Distributed Embedded Systems (Wiley–IEEE Press), and Elements of Artificial Neural Networks (MIT Press).
I earned my Ph.D. in Computer Science from the University of Minnesota and my B.Tech. in Computer Science from IIT Kanpur. Recognition includes the 2020 IEEE Technical Committee on Cloud Computing Research Impact Award and the 2022 IIT Kanpur Distinguished Alumnus Award.
REPRESENTATIVE MATTERS
Tesla v. Intellectual Ventures – distributed-computing resource management; expert declaration in IPR2025-00341.
Microsoft v. Edge Networking Systems – software-defined networking and cloud/edge applications; expert declaration in IPR2025-00618.
FreeWheel Media v. AlmondNet – ad-serving platforms and user-profile data; expert declarations and deposition in IPR2024-00413 and IPR2024-00416.
Hayden AI v. Safe Fleet Holdings – vehicle-mounted computer vision and image processing; expert report and deposition in federal district court.
Google v. MindbaseHQ – lexicographic systems and related data processing; expert declarations and deposition in IPR2021-01251 and IPR2021-01252.
USPTO patent reexamination (2008) – software systems; expert report and USPTO appearance.
800 Adept v. Murex Securities – databases and telecommunications; expert report, deposition and federal jury-trial testimony.
The two-page CV provides additional case, counsel, publication and patent information.
CONTACT
For an initial discussion, please provide the parties, a brief description of the technical issues, and the anticipated schedule. Please do not send confidential materials before a conflict check.
Sanjay Ranka, Ph.D. | sanjayranka@gmail.com | 352-514-4213
Gainesville, Florida | Available nationwide