Karan Singh is based out of our New York office. He focuses his practice primarily on preparation and prosecution of patent applications and patent portfolio management, both in the US and abroad. Karan is also skilled at conducting infringement, invalidity, and freedom to operate analyses, as well as providing assistance in patent assertion and litigation. He also has experience in post-grant proceedings before the Patent Trial and Appeal Board. 

Karan focuses his practice primarily in the technical areas of artificial intelligence, speech processing, image processing, software, robotics, medical devices, wearable devices, electronics, and computer systems. He is particularly skilled in technologies related to machine learning, including deep learning, signal processing, big data, and data mining.

Karan's PhD dissertation work at Cornell University focused on the modeling and management of chip multiprocessor (CMP) power consumption, with advanced coursework in statistics and machine learning. During graduate school, he spent two summers at the Lawrence Livermore National Laboratory as a visiting scholar.

Most recently, Karan practiced at Ropes & Gray LLP in the IP Litigation and IP Rights Management groups.

  • New York State Bar Association
  • American Bar Association
  • NYSBA Empire State Counsel Honor Roll, 2016
  • Immigration Equality’s Safe Haven Award, 2016
  • Latham & Watkins Law Preview Scholarship, 2012
  • Tau Beta Pi Fife Fellowship No. 78, 2005
  • LSU College of Engineering Alumni Scholarship, 2003-2005
  • LSU International Student Honor Award, 2002-2005
  • LSU Chancellor’s Honor Roll, 2001-2005
  • Eta Kappa Nu Electrical Engineering Honor Society, 2004
  • Tau Beta Pi Engineering Honor Society, 2003
  • Phi Kappa Phi George Robertson Award, 2003


  • K. Singh et al., "Comparing Scalability Prediction Strategies on an SMP of CMPs," Proc. Euro-Par, September 2010.
  • K. Singh et al., "Prediction-based Power Estimation and Scheduling for CMPs," Proc. International Conference on Supercomputing, June 2009.
  • K. Singh et al., "Real Time Power Estimation of Multi-Cores via Performance Counters," Proc. Workshop on Design, Architecture and Simulation of Chip Multi-Processors, November 2008.
  • K. Singh et al., "Predicting Parallel Application Performance via Machine Learning Approaches," Wiley Concurrency and Computation: Practice and Experience, May 2007.

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Karan Singh is based out of our New York office. He focuses his practice primarily on preparation and prosecution of patent applications and patent portfolio management, both in the US and abroad. Karan is also skilled at conducting infringement, invalidity, and freedom to operate analyses, as well as providing assistance in patent assertion and litigation. He also has experience in post-grant proceedings before the Patent Trial and Appeal Board. 

Karan focuses his practice primarily in the technical areas of artificial intelligence, speech processing, image processing, software, robotics, medical devices, wearable devices, electronics, and computer systems. He is particularly skilled in technologies related to machine learning, including deep learning, signal processing, big data, and data mining.

Karan's PhD dissertation work at Cornell University focused on the modeling and management of chip multiprocessor (CMP) power consumption, with advanced coursework in statistics and machine learning. During graduate school, he spent two summers at the Lawrence Livermore National Laboratory as a visiting scholar.

Most recently, Karan practiced at Ropes & Gray LLP in the IP Litigation and IP Rights Management groups.

  • New York State Bar Association
  • American Bar Association
  • NYSBA Empire State Counsel Honor Roll, 2016
  • Immigration Equality’s Safe Haven Award, 2016
  • Latham & Watkins Law Preview Scholarship, 2012
  • Tau Beta Pi Fife Fellowship No. 78, 2005
  • LSU College of Engineering Alumni Scholarship, 2003-2005
  • LSU International Student Honor Award, 2002-2005
  • LSU Chancellor’s Honor Roll, 2001-2005
  • Eta Kappa Nu Electrical Engineering Honor Society, 2004
  • Tau Beta Pi Engineering Honor Society, 2003
  • Phi Kappa Phi George Robertson Award, 2003
  • K. Singh et al., "Comparing Scalability Prediction Strategies on an SMP of CMPs," Proc. Euro-Par, September 2010.
  • K. Singh et al., "Prediction-based Power Estimation and Scheduling for CMPs," Proc. International Conference on Supercomputing, June 2009.
  • K. Singh et al., "Real Time Power Estimation of Multi-Cores via Performance Counters," Proc. Workshop on Design, Architecture and Simulation of Chip Multi-Processors, November 2008.
  • K. Singh et al., "Predicting Parallel Application Performance via Machine Learning Approaches," Wiley Concurrency and Computation: Practice and Experience, May 2007.