EXPERT WITNESS

Computer Science Expert Witness

Sanjay Ranka, Ph.D.

Distinguished Professor, University of Florida | Former CTO, Paramark | IEEE Fellow | AAAS Fellow

Patent Litigation, PTAB/IPR, Trade Secret, and Complex Technology Matters

I serve as a computer science expert witness in patent litigation, PTAB/IPR proceedings, trade secret disputes, and other complex technology matters involving distributed systems, cloud computing, machine learning, AI systems, data platforms, GPU-accelerated computing, CUDA environments, and high-performance computing architectures.

A significant portion of my work focuses on cases where real-world system behavior differs from how a system is described in patents, technical specifications, source code narratives, or opposing expert opinions. These matters often turn on practical issues such as scalability, latency, fault tolerance, distributed coordination, implementation constraints, and performance under production conditions.

My work combines three perspectives that are rarely found in one expert: academic research, industry operating experience, and litigation experience. I provide clear, structured, and defensible technical analysis across all phases of litigation, including early case assessment, claim construction, expert reports, depositions, PTAB/IPR proceedings, rebuttal analysis, and trial testimony.

Why Counsel Engage Me

Counsel typically retain me when a case involves one or more of the following:
Patent infringement or validity disputes involving software systems, distributed architectures, cloud infrastructure, or machine learning platforms
PTAB / IPR proceedings requiring expert reports or deposition testimony
Trade secret disputes involving proprietary algorithms, system design, data processing pipelines, or production architectures
Cases involving GPU-accelerated systems, CUDA-based environments, parallel computing, or distributed GPU systems
Disputes where system performance, feasibility, scalability, latency, throughput, or fault tolerance are central to the technical issues
Matters requiring complex technical systems to be explained clearly to judges, juries, arbitrators, or patent tribunals

Areas of Expertise

Distributed Systems and Cloud Computing

Distributed systems architecture and large-scale platforms
Cloud infrastructure and backend software systems
Scalability, reliability, fault tolerance, and distributed coordination
Real-world implementation behavior in production environments

Data Platforms, Pipelines, and Databases

Large-scale data pipelines and data-intensive platforms
Distributed data architectures, storage systems, and databases
Real-time, streaming, and event-driven systems
System design issues involving movement, storage, and processing of large data volumes

Machine Learning, AI, and Computer Vision Systems

Machine learning systems and AI-enabled software platforms
Predictive models, optimization systems, and algorithmic decision-making
Data-driven systems used in production environments
Computer vision architectures and deployment considerations across edge and backend systems

GPU-Accelerated and High-Performance Computing

GPU-accelerated computing systems and parallel architectures
CUDA-based and heterogeneous computing environments
Distributed GPU systems, multi-node architectures, and performance behavior at scale
Technical issues involving data movement, scheduling, resource constraints, and system throughput

System Performance and Real-World Behavior

Latency, throughput, scalability, and capacity analysis
Performance bottlenecks and architectural tradeoffs
Behavior under failure conditions and constrained resources
Differences between theoretical system descriptions and practical implementation behavior

How I Assist Counsel

I work closely with counsel to provide rigorous, practical, and clearly articulated technical analysis at each stage of a matter:

Early Case Assessment: Evaluate technical theories, identify core issues, and assess strengths, weaknesses, and technical risk
Claim Construction / Markman Support: Ground claim language in how systems are actually implemented and understood by a person of ordinary skill in the art
Expert Reports: Prepare clear, well-supported opinions based on source code, specifications, technical literature, and other case materials
PTAB / IPR Support: Provide expert reports and deposition testimony in inter partes review proceedings
Rebuttal Analysis: Critically assess opposing expert opinions, assumptions, and methodologies
Deposition and Trial Testimony: Deliver clear, structured, and credible explanations under adversarial conditions

Academic, Industry, and Litigation Experience

Academic Research I am a Distinguished Professor of Computer Science at the University of Florida. My academic work includes more than 350 peer-reviewed publications and 13 U.S. patents in areas related to distributed systems, data platforms, machine learning, high-performance computing, and large-scale computing architectures. I have served as Principal Investigator or co-Principal Investigator on more than $20 million in federally funded research from agencies including NSF, NIH, DOE, NNSA, and DOT.

Industry Experience I was the CTO and co-founder of Paramark, where I built and operated a large-scale ad-serving optimization platform in the programmatic advertising ecosystem. That work involved real-world distributed systems, optimization platforms, production infrastructure, and patented advertising technologies.

Litigation Experience My litigation experience includes more than 15 expert reports and declarations across federal district courts, the PTAB, and the USPTO. I have provided deposition testimony and trial testimony, including federal jury trial testimony in 800 Adept v. Murex Securities, and I have worked on both plaintiff-side and defense-side matters in patent litigation and IPR proceedings.

This combination of research depth, operating experience, and litigation work allows me to connect system theory with real-world implementation—and to explain that analysis clearly and persuasively in a legal setting.

Representative Matters

Representative engagements include matters involving distributed systems, cloud platforms, machine learning systems, computer vision, and large-scale data-processing technologies:

2025 — Tesla v. Intellectual Ventures (IPR2025-00341) — Expert Report
2024 — Freewheel Media v. AlmondNet (IPR2024-00416, 00413) — Expert Reports, Depositions
2023 — Hayden AI v. SafeFleet Holdings (E.D.N.Y.) — Expert Report, Deposition
2021 — Google v. MindbaseHQ (IPR2021-01251 & 01252) — Expert Reports, Depositions
2008 — USPTO Patent Reexamination — Expert Reports, Hearing
2002 — 800 Adept v. Murex Securities (M.D. Fla.) — Expert Report, Deposition, Jury Trial

Selected Case Narratives

Ad-Tech Systems and Cross-Source Data Integration Freewheel Media v. AlmondNet (IPR) involved analysis of cross-domain user profile attribution through cookie-based and related tracking technologies, including the combination of data from multiple sources and association back to originating entities. My work informed expert reports and deposition testimony in PTAB proceedings.

Computer Vision and Edge/Server Architectures Hayden AI v. SafeFleet Holdings involved evaluation of computer vision-based vehicle detection systems and the allocation of processing across edge devices and backend server infrastructure. The work supported expert report development and deposition testimony in district court litigation.

Dynamic Distributed Real-Time Systems Tesla v. Intellectual Ventures (IPR) involved technical specification and analysis of dynamic, distributed real-time systems, including system coordination and behavior under time-sensitive operating conditions.

Contact

I am available for consultation and expert engagements nationwide.

Sanjay Ranka, Ph.D.
Email: sanjayranka@gmail.com
Phone: 352-514-4213
Location: Gainesville, Florida
Available nationwide