I am MohammadHosein Gholamrezaei, currently pursuing a Ph.D. in Computer Architecture at the University of Virginia under supervision of Prof. Kevin Skadron. I hold a Master’s degree from the Department of Computer Engineering at Chosun University, Gwangju, South Korea. During my master’s studies, I conducted research in Hardware Accelerators for Artificial Intelligence algorithms. My doctoral research at the University of Virginia is dedicated to Computer Architecture, with a specific focus on Hardware Accelerators and Processing In-Memory.

Publications

Low Latency and High Throughput Pipelined Online Adder for Streaming Inner Product Tooba Arifeen, Saeid Gorgin, MohammadHosein Gholamrezaei, Abdus Sami Hassan, Milos̆ D Ercegovac, Jeong-A Lee In Journal of Signal Processing Systems, May 2023 [link]

A generalized residue number system design approach for ultra-low power arithmetic circuits based on deterministic bit-streams Kamyar Givaki, Ahmad Khonsari, MohammadHossein Gholamrezaei, Saeid Gorgin, M Hassan Najafi In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, March 2023 [link]

An Energy-Efficient K-means Clustering FPGA Accelerator via Most-Significant Digit First Arithmetic Saeid Gorgin, Mohammadhosein Gholamrezaei, Danial Javaheri and Jeong-A Lee In International Conference on Field Programmable Technology (FPT), Dec 2022 [link]

HyperDbg: Reinventing Hardware-Assisted Debugging
Mohammad Sina Karvandi, MohammadHossein Gholamrezaei, Saleh Khalaj Monfared, Soroush Meghdadizanjani, Behrooz Abbassi, Ali Amini, Reza Mortazavi, Saeid Gorgin, Dara Rahmati, Michael Schwarz In ACM Conference on Computer and Communications Security (CCS), Nov 2022
[code] | [website]

FIR Filter Architectures Using Accurate Unary Stochastic Computing
Kamyar Givaki, Ahmad Khonsari, Mohammad Hossein Gholamrezaei, Dara Rahmati and Saeid Gorgin In IEEE International Conference on Computer Design (ICCD), Oct 2022

kNN-MSDF: A Hardware Accelerator for k-Nearest Neighbors Using Most Significant Digit First Computation
S. Gorgin, M. H. Gholamrezaei, D. Javaheri, J. A. Lee
In IEEE International System-on-Chip Conference (SOCC), Sep 2022 [link]

An Efficient FPGA Implementation of k-Nearest Neighbors via Online Arithmetic
S. Gorgin, M. H. Gholamrezaei, D. Javaheri, J. A. Lee
In IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), May 2022
[link]

High Performance Deterministic Stochastic Computing Using Residue Number System
Kamyar Givaki, Reza Hojabr, M.H. Gholamrezaei, Ahmad Khonsari, Saeid Gorgin, Dara Rahmati, M. Hassan Najafi In IEEE Design and Test, Jan 2021
[link]

Using Residue Number Systems to Accelerate Deterministic Bit-stream Multiplication
Kamyar Givaki, Reza Hojabr, M. Hassan Najafi, Ahmad Khonsari, M. Hossein Gholamrezayi, Saeid Gorgin, Dara Rahmati In International Conference on Application-specific Systems, Architectures and Processors (ASAP), July 2019
[link]

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Teaching Experiences

Fall 2020: Real-Time and Embedded Systems, Dr. Seyed-Hosein Attarzadeh-Niaki
Co-Teacher Assistant, Shahid Beheshti University

Spring 2020: Microprocessors and Assembly Language, Dr. Dara Rahmati
Teacher Assistant, Shahid Beheshti University

Fall 2019: Digital Design Course, Dr. Dara Rahmati
Teacher Assistant, Shahid Beheshti University

Fall 2019: Real-Time and Embedded Systems, Dr. Seyed-Hosein Attarzadeh-Niaki
Co-Teacher Assistant, Shahid Beheshti University

Spring 2019: Microprocessors and Assembly Language, Dr. Dara Rahmati
Teacher Assistant, Shahid Beheshti University

Fall 2018: Microprocessors and Assembly Language, Dr. Dara Rahmati
Teacher Assistant, Shahid Beheshti University