Taufeq Mohammed Razakh

PhD candidate at Thomas Lord Department of Computer Science .

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Seaver Science Center 326

920 Bloom Walk

Los Angeles, CA 90089

I am pursuing my doctoral degree in computer science (CS) at the University of Southern California (USC), advised by Prof. Aiichiro Nakano. I carry out performance optimization of our nonadiabatic quantum molecular dynamics (NAQMD) simulation engines. I also interned at Argonne Leadership Computing Facility (ALCF) under the supervision of Dr. Ye Luo.

I received two master degrees for computer science and mechanical engineering from USC. While a master student, I was advised by Prof. Ken-ichi Nomura and published on a differential equation solver based on physics-informed neural network (PINN) for molecular dynamics. My bachelor degree was in mechanical engineering from Osmania University in 2016.

news

Dec 23, 2024 Abstract accepted for a presentation at APS Global Physics Summit 2025
Sep 16, 2024 Passed both the written and oral parts of the qualifying examination! :sparkles:

selected publications

  1. Accelerating Quantum Light-Matter Dynamics on Graphics Processing Units
    Taufeq Mohammed Razakh, Thomas Linker, Ye Luo, and 4 more authors
    In 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2024