EXPERT WITNESS

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

  • Contact Information:
  • Email: sanjayranka@gmail.com
  • Phone: 352-514-4213
  • Location: Gainesville, FL (Available for travel nationwide)

Engagement & Conflict Checks

  • Conflict Turnaround: Usually provided within 24 hours.
  • Services: Infringement/Non-infringement Analysis, Invalidity/Validity (IPR) Studies, Expert Reports, Depositions, and Trial Testimony.
  • Fee Schedule: Available upon request.

The “Rare Trifecta” Advantage: I provide a unique combination of high-level academic rigor, executive industry experience, and proven courtroom performance.

  • Elite Academic Pedigree: Distinguished Professor at a top-tier research university with over 350+ peer-reviewed publications and leadership roles (Program Chair) in premier IEEE/ACM conferences.
  • Real-World Industrial Leadership: Former Chief Technology Officer at Paramark, providing a deep understanding of commercial software development, hardware deployment, and enterprise-scale engineering. Practical knowledge of how code is actually written, versioned, and deployed in a corporate environment.
  • Courtroom-Tested Expertise: A veteran expert witness who has successfully navigated high-stakes patent litigation, IPRs, and technical analysis for the world’s leading technology firms.

Professional Distinctions

  • Fellowships: IEEE Fellow, AAAS Fellow, AAIA Fellow, AIIA Fellow, Distinguished Alum (IIT Kanpur)
  • Academic Leadership:
          • Program Chair and Conference Chair for top tier IEEE/ACM Conferences.
          • Served on a number of Editorial Boards of highly reputaed Journals
  • Education: Ph.D. in Computer Science (Specialization in Parallel Computing).

Core Technical Domains

  • GPU Architecture: Parallel processing, CUDA optimization, and hardware acceleration.
  • Machine Learning: Deep learning, neural networks, and generative AI models.
  • High-Performance Computing: Exascale systems and distributed cluster management.
  • Optimization Algorithms: Genetic algorithms and AI-driven performance tuning.
  • Cloud Infrastructure: Scalable backend architectures and data center networking.
  • Enterprise Software: Large-scale data mining and complex software infringement.
  • Big Data: Database, Data analytics, and Knowlege Base.

Representative Cases (15+ Exxpert Reports, Four Depositions, One Jury Trial)

  • Edge Networking Systems versus Microsoft, IPR2025-00618 (Expert Report), 2025
  • Volpe Koenig, Tesla versus Intellectual Ventures, IPR No. 2025-00341 (Expert Report), 2025
  • Banner Witcoff, Freewheel Media, Inc v Almondnet, Inc IPR2024-00416 (Expert Report and Deposition), 2024
  • Banner Witcoff, Freewheel Media, Inc v Almondnet, Inc IPR2024-00413 (Expert Report and Deposition), 2024
  • Flaster Greenberg, Hayden AI versus SafeFleet Holdings (and Acquisition) Case No: 23-cv-03471-EK-JRC, District Court of Eastern District of NY) (Expert report and Deposition), 2023
  • Iaconis Law, Google LLC v. MindbaseHQ, LLC, IPR2021-01251 (PTAB); (Expert Report and Deposition)
  • Iaconis Law, Google LLC v. MindbaseHQ, LLC, IPR2021-01252 (PTAB); (Expert Report and Deposition)
  • Sterne, Kessler, Goldstein and Fox on patent reexam, Expert reports and participated in discussions at US PTO in Washington D.C., 2008
  • 800 Adept, Inc. v. Murex Securities LTD (Case No: 6:02-cv-01354-ORL-28DAB) (Expert Report, Deposition, Jury Trial)

Patents Authored

  • United States Patent Number 8,805,715. Brian Jones and Sanjay Ranka. Method for Improving the Performance of Messages Including Internet Splash Pages. Aug. 12, 2014.
  • United States Patent Number 8,386,315. Arvind Bala, Richard Chatwin, Brian Jones, Ahmet Nalcacioglu, and Sanjay Ranka. Yield Management System and Method for Advertising Inventory, Feb. 26, 2013.
  • United States Patent Number 8,260,663. Sanjay Ranka, Diane Chang, and Daniel Veiner. Method, Algorithm, and Computer Program for Targeting Messages Including Advertisements in an Interactive Measurable Medium, Sept. 4, 2012.
  • United States Patent Number 8,144,686. Sartaj Sahni, Nageshwar Sirikonda Venkata, Sanjay Ranka, Yan Li, Eun-sung Jung, and Narayana Kamath. Method and Systems for Bandwidth Scheduling and Path Computation for Connection-Oriented Networks, Mar. 27, 2012.
  • United States Patent Number 7,573,978. Srijit Kamath, Sartaj Sahni, Jonathan Li, Jatinder Palta, and Sanjay Ranka. Variable Feathering Field Splitting for Intensity Modulated Fields of Large Size, Aug. 11, 2009.
  • United States Patent Number 7,415,423. Sanjay Ranka, Jason Lenderman, and James Weisinger. Method, Algorithm, and Computer Program for Optimizing the Performance of Messages Including Advertisements in an Interactive Measurable Medium, Aug. 19, 2008.
  • United States Patent Number 7,406,434. Diane Chang, Richard Chatwin, Sachin Kumar, Sanjay Ranka, James Weisinger, and Jason Lenderman. System and Method for Improving the Performance of Electronic Media Advertising Campaigns through Multi-attribute Analysis and Optimization, July 29, 2008.
  • United States Patent Number 7,142,635. Srijit Kamath, Sartaj Sahni, Jonathan Li, Jatinder Palta, and Sanjay Ranka. Field Splitting for Intensity Modulated Fields of Large Size, 28, 2006.
  • United States Patent Number 7,085,348. Srijit Kamath, Sartaj Sahni, Jonathan Li, Jatinder Palta, and Sanjay Ranka. Leaf Sequencing Method and System, Aug. 1, 2006.
  • United States patent number 6,563,952. Anurag Srivastava, G. D. Ramkumar, Vineet Singh, and Sanjay Ranka. Method of High Dimensional Data and Apparatus for Classification, May 13, 2003.
  • United States Patent Number 6,173,280. G. D. Ramkumar, Sanjay Ranka, and Shalom Tsur. Method and Apparatus for Generating Weighted Association Rules, Jan. 9, 2001.
  • United States Patent Number 5,987,468. Vineet Singh, Khaled Alsabti, and Sanjay Ranka. Structure and Method for Efficient Parallel High-Dimensional Similarity Join, Nov. 16, 1999.
  • United States Patent Number 5,983,224. Vineet Singh, Sanjay Ranka, and Khaled Alsabti. Method and Apparatus for Reducing the Computational Requirements of K-Means Data Clustering, Nov. 9, 1999.