Walter Scott Jr. College of Engineering Professor (CV)
Director of Embedded, High Performance, and Intelligent Computing (EPIC) Lab
Department of Electrical and Computer Engineering
Departments of Computer Science, Systems Engineering (Joint appointments)

Office: B119 Engineering         Email:
Phone: 970-491-0254                Fax: 970-491-2249

Office Address: 1373 Campus Delivery, Colorado State University
Fort Collins, CO 80523-1373

Sudeep Pasricha is a Walter Scott Jr. College of Engineering Professor in the Department of Electrical and Computer Engineering, the Department of Computer Science, and the Department of Systems Engineering at Colorado State University. He is Director of the Embedded, High Performance, and Intelligent Computing (EPIC) Laboratory and the Chair of Computer Engineering.

Short Bio: 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. His research focuses on the design of innovative software algorithms, hardware architectures, and hardware-software co-design techniques for energy-efficient, fault-tolerant, real-time, and secure computing. He has co-authored five books and published more than 250 research articles in peer-reviewed journals, conferences, and workshops. His research has been funded by various sponsors including NSF, SRC, AFOSR, ORNL, DoD, Fiat-Chrysler, and NASA. He has served as General Chair and Program Committee Chair for multiple IEEE and ACM conferences, and also served in the Editorial board of multiple IEEE and ACM journals. He is a Senior Member of the IEEE (Computer Society), Distinguished Member of the ACM, and an ACM Distinguished Speaker.

Research Interests: Prof. Pasricha’s research efforts span multiple computing scales, from computing chips to embedded/IoT/cyber-physical systems and high performance datacenters. Specific search focus areas include: 1) electronic design automation (EDA) and architectures for emerging manycore computing (silicon photonic and advanced electronic network-on-chip design, memory architectures, resource management, 3D ICs); 2) energy-efficient, secure, fault-tolerant, and real-time embedded and IoT systems, (across the domains of automotive, medical, and mobile applications); and 3) resource management for high performance computing (exascale datacenters and supercomputers). Some details of ongoing research projects on these themes can be found here. A brief 5 minute overview of the EPIC lab can be found here. Selected videos from various projects can be found here. Prof. Pasricha’s academic lineage can be found here.

Awards: Prof. Pasricha has received 16 Best Paper Awards and Nominations at various IEEE and ACM conferences, including at DAC, ASPDAC, NOCS, GLSVLSI, SLIP, AICCSA, and ISQED. Other notable awards include: 2022 ACM Distinguished Speaker, 2019 George T. Abell Outstanding Research Faculty Award, the 2016-2018 University Distinguished Monfort Professorship, 2016-2019 Walter Scott Jr. College of Engineering Rockwell-Anderson Professorship, 2018 IEEE-CS/TCVLSI mid-career research Achievement Award, the 2015 IEEE/TCSC Award for Excellence for a mid-career researcher, the 2014 George T. Abell Outstanding Mid-career Faculty Award, and the 2013 AFOSR Young Investigator Award.

Professional Service: Prof. Pasricha is currently the Vice Chair and Conference Chair of ACM SIGDA and a Senior Associate Editor for the ACM Journal of Emerging Technologies in Computing (JETC). He is currently or has served as an Associate Editor for various journals, including ACM Transactions on Embedded Computing Systems (TECS)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), IEEE Consumer Electronics (CM), and IEEE Design & Test of Computers (D&T). He has served as the General Chair and Technical Program Chair for various IEEE/ACM conferences, and been part of the Organizing Committee of several IEEE/ACM conferences such as DAC, ESWEEK, ICCAD, GLSVLSI, NOCS, RTCSA, ICESS, etc. He holds an affiliate faculty member position at the Center for Embedded and Cyber-Physical Systems at UC Irvine. For professional service, he has received the 2019 ACM SIGDA Distinguished Service Award, the 2015 ACM SIGDA Service Award, and the 2012 ACM SIGDA Technical Leadership Award.

Note for Graduate Students:

I have multiple PhD positions available in my lab. In particular, I am looking for students to work on projects related to deep learning for automotive security and environment perception, silicon photonic architectures, mobile indoor navigation, and multicore security. See here for more details. 

Recent News (~past year):

  • Mar 2023: Salma and Febin’s paper on Transformer neural network accelerators accepted at ACM GLSVLSI 2023
  • Mar 2023: My paper on embedded ethics in computing education accepted at ACM GLSVLSI 2023
  • Mar 2023: I am leading a special session on optical computing that has been accepted at ACM GLSVLSI 2023
  • Mar 2023: Dylan’s paper on drone swarm management accepted in the Journal of Supercomputing, 2023
  • Feb 2023: Abhishek and Febin’s paper on fast object detectors for automotive systems accepted at IEEE/ACM DAC 2023
  • Feb 2023: Danish and Saideep’s paper on vision transformers for localization accepted at IEEE/ACM DAC 2023
  • Jan 2023: I will be giving an invited BMAC seminar on ‘Machine Learning for Indoor Navigation with IoT Devices’
  • Jan 2023: Sanmitra’s paper accepted in IEEE JSTQE 2023 journal.
  • Nov 2022: I will be giving an invited talk on 2.5D photonic accelerators for machine learning at IEEE/ACM DATE 2023
  • Nov 2022: Sirui and Ryan’s paper accepted at IEEE/ACM DATE 2023
  • Nov 2022: Amin and Sanmitra’s paper on optical neural networks accepted in IEEE TNANO 2023 journal
  • Nov 2022: My article on ethical AI for healthcare accepted in IEEE Consumer Electronics
  • Nov 2022: I am serving a panel on environmental, behavioral, and computing leverage points for sustainability
  • Oct 2022: My article on ethical medical IoT design accepted in IEEE Computer
  • Oct 2022: I gave a Keynote at the 2022 SASIMI workshop on Hardware/Software Codesign for Machine Learning
  • Oct 2022: I will be talking about secure chip-scale networks in a special session at the IEEE/ACM NOCS symposium
  • Oct 2022: I am part of a panel on Low Energy Artificial Intelligence at the 2022 AIML Systems Conference
  • Oct 2022: I gave a Keynote at the 2022 ACM Future World’s Symposium on “AI at the Speed of Light”
  • Sep 2022: Ninad’s survey on Machine Learning for Geo-Distributed Data Center Management accepted in IEEE TSUSC 2022
  • Aug 2022: Saideep & Danish’s paper on Localization Attention Neural Networks is a Top 3 Best Paper at IEEE IPIN 2022
  • Jul 2022: Ebad’s paper on 2.5D photonic network-on-chip design accepted at IEEE/ACM ICCAD 2022
  • Jul 2022: Liping, Saideep, and Danish’s papers on deep learning for indoor localization accepted at IEEE IPIN 2022
  • Jun 2022: Joydeep’s work on co-optimizing sensing and deep learning for autonomous vehicles accepted at IEEE DSD 2022
  • May 2022: Kamil’s work on reinforcement learning for NoC optimization is a Best Paper Candidate at ACM GLSVLSI 2022
  • May 2022: Febin and Sanmitra’s works on photonic neural network accelerator design accepted at IEEE ISVLSI 2022
  • May 2022: Joydeep’s work on deep learning-based autonomous vehicle perception accepted at IEEE ISVLSI 2022
  • Apr 2022: Received a grant from NSF to lead a CSU cyberinfrastructure upgrade for HPC facilities (Source article)
  • Mar 2022: Selected as an ACM Distinguished Speaker (2022-2025 term; Source article)
  • Mar 2022: I will be giving a talk to the IEEE High Plains Section on Hardware Design for AI acceleration
  • Mar 2022: Kamil, Febin, Amin, and Sanmitra’s papers accepted at ACM GLSVLSI 2022 conference
  • Mar 2022: Ebad’s paper on 2.5D chiplet networks presented at IEEE/ACM DATE 2022

Older News Items can be found here

Research Sponsors: