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PhD, Computer Science

Virginia Polytechnic Institute and State University (Virginia Tech)

• Advised by Dr Ali Butt, a professor at Virginia Tech, leading Distributed Systems and Storage Lab at Virginia Tech

Bachelor of Computer Software Engineering

University of Tehran, Iran

Research Assistant at Distributed System and Storage Lab at Virginia Tech

Virginia Tech

• Contributing to Metis project ongoing which is about improving the cachability of the deep learning workloads
• Leading collaborative research with Analytics & AI Methods at Scale Group at Oak Ridge National Laboratory (ORNL) on analytically recognizing the behavior of the users and jobs submitted to HPC systems to improve the I/O efficiency of the HPC systems. We have recently started collaborating with Suren Byna and Jean Luca Bez from Lawrence Berkeley National Laboratory (LBNL). The work has been kicked off since the time I interned at ORNL in summer 2021
• Leading a collaborative research with Analytics & AI Methods at Scale Group at Oak Ridge National Laboratory (ORNL) and Lawrence Berkeley National Laboratory aiming to address the I/O interference between the training/inference jobs for large AI models in HPC in collaboration with Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul, Suren Byna and Feiyi Wang

Student Assistant at NERSC, Lawrence Berkeley National Laboratory (LBNL), internship

Lawrence Berkeley National Laboratory (LBNL)

• I investigated the causes of I/O hotspots in HPC applications and analyzed common performance issues. Specifically, I examined Drishti, an HPC I/O recommendation tool, and found it generates many false positive warnings. In future work, I plan to address these inaccuracies, enhance Drishti's ability to provide more reliable I/O optimization recommendations, and improve its capacity to predict job performance based on suggested configurations.

Student Assistant at Lawrence Berkeley National Laboratory (LBNL), internship

Lawrence Berkeley National Laboratory (LBNL)

• Pursuing my research on I/O variance characterization in HPC systems under the supervision of Suren Byna and Jean Luca Bez.

Instructor

Virginia Tech

• Teaching CS3214, Computer Systems, at Virginia Tech in Fall 2022 and Spring 2023

Internship at Oak Ridge National Laboratory, Analytics & AI Methods at Scale Group.

Oak Ridge National Laboratory

• Supervised by Feiyi Wang, Sarp Oral, Ahmad Maroof Karimi and Arnab Kamur Paul
• First studied the literature on I/O characterization at the application level to get insights for building an application and user-aware I/O scheduler
• Then collected I/O information of different users and different applications, and showed the user’s behavior affects the I/O performance quite a lot
• And finally, presented my work at the Internship Symposium held for the interns who joined the national lab in the summer 2021

• Was awarded travel support by USENIX for USENIX FAST'24 conference in Santa Clara, CA, US
• Had a poster at IPDPS24 PhD forum about our I/O interference characterization project with Berkeley Lab (LBNL). I was also awarded travel support by TCPP for IPDPS24.

• Being appointed as the student volunteer for SC23 hosted in Denver, CO, US

• Being appointed as the student volunteer for SC22 hosted in Dallas, TX, US