About me

I am a PhD student in Computer Engineering at Rutgers University. My research interests includes GPU accelerated high performance computing, computer architecture, machine learning, and large graph analytics. I am honored to be advised by Professor Hang Liu. I completed my undergraduate from Tribhuvan University, Nepal where my undergraduate research advisor was Professor Subarna Shakya. You can see my publications in the publication tab or at google scholar for my most recent publications.

The theme of my research is system for machine learning and machine learning for system.

I enjoy hiking, playing basketball and football during my free time.

[CV] [google scholar]

Recent News!!!

  • [Mar. 2024]
TAO: Rethinking DL-based microarchitecture simulation is accepted at SIGMETRIC'24 journal (Acceptance rate ~11%). A great collaboration with Amir from Google DeepMind.
  • [Mar. 2024]
TEA+, led by Dr. Chengying Huan, accepted at TACO'24 journal.
  • [Jan. 2023]
Transferred to the Rutgers University.
  • [Oct. 2022]
Honored to receive the 2022 IEEE TCHPC Student Travel Award for SC'22 conference.
  • [Aug. 2022]
One paper accepted at SC'22 conference on accelerating ML-based micro-architecture simulation.
  • [Sep. 2022]
TEA accepted at EuroSys'23 conference on temporal graph random walk.

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