About me
I am a PhD student in the
School of Electrical Engineering and Computer Science at
Washington State University.
My general research interest is in using ML for dynamic resource management for emerging architectures inlcuding CPU-GPU, ReRAMs.
My current research is motivated from sustainable computing for AI/ML. Specific topics include:
- Resource management in Large manycore systems using Voltage/Frequency Islands
- ML methods such as Bayesian optimization, Imitation learning, Reinforcement learning
- Uncertainty aware Online learning for Dynamic resource management in Large manycore systems
- Emerging domain specific architectures for CNN and other deep learning workloads
I have 6 year experience in Semiconductor industry (RTL design). I did Masters in Technology (M.Tech.) degree in VLSI and Embedded Systems from
IIIT DELHI, New Delhi, advised by Dr. Alexander Fell.
I am very fortunate to work with my advisor Prof. Partha Pratim Pande and
Dr. Jana Doppa
Recent news
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 accepeted in ISLPED 2023
Journal Paper got accepeted 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
Education
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PhD in Computer Engineering, 2021-Present
Washington State University
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M.Tech in VLSI and Embedded Systems, 2013-2015
IIIT Delhi
Experience
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Design Engineer II, 2018-2021
Synopsys
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Sr. Design Engineer, 2015-2018
STMicroelectronics