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About me
About me
I am a Postdoctoral Research Scholar advised by Prof. Krishnendu Chakrabarty in the School of Electrical, Computer and Energy Engineering at Arizona State University.
I am honoured to have been advised by Prof. Partha Pande and Prof. Jana Doppa during my PhD at Washington State University.
I investigate machine learning (ML)-based methodologies for the design of advanced computing systems using emerging technologies to enable energy-efficient, high-performance, and reliable inference and training of emerging ML models. My research focuses on cross-layer hardware and software co-design spanning across applications, architecture, and advanced packaging.
Specific topics include:
Design of advanced computing systems using emerging technologies (e.g., compute-in-memory, silicon photonics)
ML for design space exploration and dynamic resource management in computing systems
Design for reliability in advanced packaging (e.g., 2.5D chiplets and 3D integration)
My Key Research Thrusts
News
News
[Service] It's my pleasure to chair a session at DAC 2026 (July 26-29)
[Service] I am happy to be part of the Technical Program Committee (TPC) in ESWEEK CODES 2026
[Service] I am excited to be part of the DAC 2026 Technical Program Committee (TPC)
[Paper] Journal paper "GINA" got accepted in ESWEEK 2025 (CODES+ISSS) and will be published in TECS. I will present it in ESWEEK held in Taipei, Taiwan Sept 28 to Oct 3, 2025.
Joined Arizona State University as Postdoc Scholar, June 1st, 2025, under Prof. Krishnendu Chakrabarty
Major Milestone: Passed my PhD FINAL exam, May 5th, 2025. I am happy to say that I am now Dr. Gaurav Narang
Presented my work "Odin" in DATE Conference held at Lyon, France, March 2025
Presented my PhD work in the PhD Forum Event in DATE in Lyon, France, March 2025
[Paper] Journal paper "HetOU" got accepted in TCAD, Dec 2024
[Paper] Paper "Odin" got accepted in DATE, Nov 2024
Chuks and I presented our work "HuNT" in the ESWEEK Conference held at North Carolina, USA, Oct 2024 (Published in TCAD)
[Paper] Journal paper "TEFLON" got accepted in TECS, Aug 2024
"UaOL" won the Best Paper Award in ISLPED Conference in Vienna, Aug 2023
Passed my PhD Prelims exam, July 2023
Presented our Uncertainty-aware Online learning for Dynamic Power management work at SRC AIHW meet held in IBM research, San Jose 2023
[Paper] Conference Paper "UaOL" got accepted in ISLPED 2023
[Paper] Journal Paper "L2S" got accepted in TODAES 2023
Passed my PhD Qualifier exam, Dec 2022
Finished my PhD coursework, Dec 2022
Presented Poster titled "BO-enabled Imitation learning framework for Dynamic power management in Large Manycore Systems" at SRC AIHW meet, San Diego, Aug 2022
Working on a research project funded by SRC, and collaborating with Intel labs, 2021-2023
Joined Phd Program at WSU under Prof Partha Pande, Prof Jana Doppa, Aug 2021
Resigned from Synopsys, Noida, India on July 31st, 2021
Work Experience
Arizona State University, Az
Postdoc Research Scholar
June 2025 - Present
Synopsys, Noida
Design Engineer 2
March 2018 - July 2021
STMicroelectronics, Noida
Sr. Design Engineer
Aug 2015 - March 2018
Education
PhD in Computer Engineering, Washington State University
Aug 2021 - May 2025
Thesis: Advances in Machine Learning-Enabled Resource Management in Manycore Systems: From Von Neumann to Heterogeneous Processing-In-Memory Architectures
Advisors: Partha Pande and Jana Doppa
M.Tech in VLSI and Embedded Systems, IIIT Delhi
Aug 2013 - May 2015
Thesis: Floorplan aware framework for optimal SRAM selection for memory subsystems
Advisor: Alexander Fell
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