About me

I am a Postdoc researcher in the School of Electrical, Computer and Energy Engineering at Arizona State University.

My general research interest is in using ML for dynamic resource management for emerging architectures, including CPU-GPU, Non-Volatile memories.

My current research is motivated from need for energy efficient, high performance computing for AI/ML and big data workloads. Specific topics include:

• Resource management in large manycore systems using Voltage/Frequency Islands
• Machine learning methods such as Bayesian optimization, Imitation learning, Reinforcement learning for resource management
• Uncertainty aware Online learning for Dynamic resource management in Large manycore systems
• Emerging domain-specific architectures and ML-based runtime optimizations for CNNs, GNNs, and other deep learning workloads
• Reliable computing on non-ideal Processing-in-memory hardware
• Heterogeneous Processin-in-Memory Acceleration of Deep Neural Network Training

I have 6 years of experience in the Semiconductor industry (primarily RTL design, synthesis, and timing analysis). I finished my Masters in Technology (M.Tech.) degree in VLSI and Embedded Systems from IIIT DELHI, New Delhi in 2015, advised by Dr. Alexander Fell.

I got my PhD from Washington State University in May 2025. I am very fortunate to work with my PhD advisors Prof. Partha Pratim Pande and Dr. Jana Doppa

Recent news

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 PhD Forum Event in DATE in Lyon, France, March 2025

Chuks and I presented our work HuNT in ESWEEK Conference held at North Carolina, USA, Oct 2024

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

Conference Paper got accepted in ISLPED 2023

Journal Paper 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 research project funded by SRC, and collaborating with Intel labs, 2021-Ongoing

Joined Phd Program at WSU under Prof Partha Pande, Prof Jana Doppa, 2021