Ahmad Hossein Yazdani

Computer Science PhD student at Virginia Tech


Computer Science PhD student at Virginia Tech


My name is Ahmad Hossein Yazdani (Also known as Ahmadhossein Yazdani). I got my bachelor in computer software engineering from Univeristy of Tehran Iran in 2020. Currently, I’m doing my PhD at Virginia Tech. University in Blacksburg, VA, US since August 2020 in computer science under supervision of Dr. Ali Butt at Distributed System and Storage Lab. I have also experienced doing intern at Oak Ridge National Laboratory, supervised by Feiyi Wang, Sarp Oral, Ahmad Maroof Karimi and Arnab Kamur Paul. I have recently kicked off my internship at Lawrence Berkeley National Laboratory in Berkeley, California, the United States under supervision of Suren Byna and Jean Luca Bez, which is on extending my research on identification of sources of I/O variance in HPC systems.

I’m interested in distributed systems optimization, resource management, cloud computing and high-performance computing (HPC). My current research is on optimizing distributed systems for running various aspects of Machine Learning including training deep neural networks, federated learning, boosting GPU scheduling algorithms to fit ML workloads. On the other hand, I research on how to analytically improve the I/O performance of HPC workloads, or to reduce I/O contention in other words. I’m also enthusiastic on learning and researching about cloud computing.


Jun 12, 2023 I’m honored to announce that I kicked off my internship at Lawrence Berkeley National Laboratory in this day
Feb 21, 2023 Our accepted paper in FAST23 was presented by Redwan Khan, my labmate at DSSL

selected publications

  1. SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training
    Redwan Ibne Seraj Khan, Ahmad Hossein Yazdani, Yuqi Fu, and 5 more authors
    In 21st USENIX Conference on File and Storage Technologies (FAST 23), Feb 2023