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David L. Kaminsky, Ph.D.

Technology Specialist

Washington, D.C.
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About David

David Kaminsky, Ph.D., is a technology specialist in the Washington, D.C., office of Fish & Richardson P.C. David’s practice emphasizes client counseling, patent prosecution, and patent monetization, with a focus on computer and software technologies, including cloud computing, machine learning, security, parallel processing, blockchain, mobile computing, and Internet of Things (IoT).

David is an experienced inventor, with over 100 patents in his name, and has successfully mentored hundreds of inventors as they learned and explored the invention process. David has conducted scores of invention harvesting sessions resulting in hundreds of inventions. He has written about diversity and inclusion among inventors, and how mentoring can improve equity. He is a frequent speaker on the importance of patents to promote the freedom to innovate, including encouraging innovation that relates to open technologies.

David has also participated in numerous patent transactions, providing the technical and business insights needed to ensure proper valuation. He has created portfolio development and maintenance strategies and led their effective executions.

Prior to joining Fish, he was an IP Technologist and Chief Software Patent Architect for International Business Machines (IBM).


  • “A Proactive Energy-Efficient Technique for Change Management in Computing Clouds,” Journal on Advances in Networks and Services, Volume 3, Numbers 1 and 2 (2010)
  • “Scheduling-capable autonomic manager for policy-based IT change management system,” Journal of Enterprise Information Systems, Volume 4 Issue 4, pp. 423-444 (November 2010)
  • “Getting started with Simplified Policy Language,” IBM Developerworks (2008)
  • “Build a HAL 9000 with IBM autonomic computing technology,” IBM Developerworks (2006)
  • “An Introduction to Policy for Autonomic Computing,” IBM Developerworks (2005)
  • “Java for SNA: A Case Study,” IBM alphaWorks (1998)
  • “SNA and TCP Enterprise Networking,” SNA & TCP/IP Enterprise Networking (1997)
  • “Adaptive Parallelism with Piranha,” IEEE Computer, Volume 28, Issue 1, Page(s): 40-49 (1995)
  • “Piranha Scheduling: Strategies and their Implementation,” Yale University Technical Report (1995)
  • “Adaptive Parallelism with Piranha,” Ph.D. Thesis (1993)

Speaking Engagements

  • “Scheduling-Capable Autonomic Manager for Policy based IT Change Management System,” Proceedings of the AIMS2009 Conference (June 2009)
  • “Analysis of Energy Efficiency in Clouds,” The First International Conferences on Advanced Services Computation (2009)
  • “JOIE: The Java Object Instrumentation Environment,” Usenix Technical Conference (2008)
  • “Policy-Based Automation in the Autonomic Data Center,” ICAC (2008)
  • “Scheduling-Capable Autonomic Manager for Policy Based IT Change Management System,” IEEE EDOC (2008)
  • “Scheduling-Capable Autonomic Manager for Policy-based IT Change Management System,” Proceedings of the 12th IEEE International EDOC Conference EDOC’08 (September 2008)
  • “Autonomic Approach to IT Infrastructure Management in a Virtual Computing Lab Environment,” ICVCI (2007)
  • “CIM-SPL Policies and Virtualization for Systems and Virtualization Management,” DMTF
  • “Supercomputing out of recycled garbage: Preliminary experience with Piranha,” ACM Conference on Supercomputing (1991)

Representative Patents – Named Inventor

U.S. 10,938,557 – Distributed ledger for generating and verifying random sequence.

U.S. 10,901,896 – Cached result use through quantum gate rewrite.

U.S. 9,276,759 – Monitoring of computer network resources having service level objectives.

U.S. 9,141,433 – Automated cloud workload management in a map-reduce environment.

U.S. 9,088,636 – Quality of service (QoS) based planning in web services aggregation.

U.S. 8,996,500 – Using temporary performance objects for enhanced query performance.

U.S. 8,381,015 – Fault tolerance for map/reduce computing.

U.S. 8,245,140 – Visualization and consolidation of virtual machines in a virtualized data center.

U.S. 8,082,291 – Identifying relevant data from unstructured feeds.

U.S. 7,827,608 – Data leak protection system, method and apparatus.

U.S. 7,743,018 – Transient storage in distributed collaborative computing environments.

U.S. 7,461,166 – Autonomic service routing using observed resource requirement for self-optimization.

U.S. 7,010,681 – Method, system and apparatus for selecting encryption levels based on policy profiling.

U.S. 6,915,386 – Processing service level agreement (SLA) terms in a caching component of a storage system.

U.S. 6,874,015 – Parallel CDN-based content delivery.

U.S. 6,564,260 – Systems, methods and computer program products for assigning, generating and delivering content to intranet users.

U.S. 6,157,960 – Technique for programmatically creating distributed object programs.

U.S. 6,138,156 – Selecting and applying content-reducing filters based on dynamic environmental factors.

U.S. 6,011,918 – Methods, systems and computer program products for generating client/server applications.

Focus Areas

Ph.D., Computer Science, Yale University (1994)

M.S., Computer Science, Yale University (1991)

B.A. with distinction, Phi Beta Kappa, Mathematics, University of Virginia (1988)

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