Walter Scott, Jr. College of Engineering

Headshot of Prof. Sudeep Pasricha


Office: B119 Engineering Building
Phone: 970-491-0254
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Dr. Sudeep Pasricha

Professor of Electrical and Computer Engineering

Joint Appointment Professor in Departments of Computer Science and Systems Engineering


Prof. Pasricha received the B.E. degree in Electronics and Communication Engineering from Delhi Institute of Technology, India, in 2000, and his Ph.D. in Computer Science from the University of California, Irvine in 2008. He joined Colorado State University (CSU) in 2008. Prior to joining CSU, he spent several years working in STMicroelectronics and Conexant Inc. He has received funding for his research from various sponsors such as the NSF, SRC, AFOSR, ORNL, DoD, Fiat-Chrysler, and NASA. He has written a book , contributed to several book chapters, and published more than 200 research articles in peer-reviewed conferences and journals that have received more than 4000 citations. He has been part of panels, keynotes, and also organized special sessions and tutorials on his research areas at premier conferences. His contributions have been recognized with several awards for research excellence. He has graduated 10 Ph.D. and 28 M.S students. He is a Senior Member of the IEEE (Computer Society) and Distinguished Member of the ACM. His academic lineage can be found here.


  • B.S. 2000 Delhi Institute of Technology in Electronics and Communications
  • M.S. 2005 University of California, Irvine in Computer Science
  • Ph.D 2008 University of California, Irvine in Computer Science

Research Interests

  • Energy-efficient, secure, fault-tolerant, and real-time embedded and IoT systems (across the domains of automotive, medical, and mobile applications)
  • Deep machine learning and multi-objective optimizations for multi-scale computing (embedded, mobile, and cloud datacenter scales) 
  • Electronic design automation (EDA) and architectures for emerging manycore computing (silicon photonic and advanced networks-on-chip, processing-in-memory, emerging non-volatile memory, 3D integrated circuits) 
  • Resource management for high performance computing (exascale datacenters and supercomputers)