Welcome to the Computer Systems and Networks (CSN) Lab
We are looking for passionate new undergraduate student to join the team.
Our research focuses on various topics on systems and networks, including:
· Resource Management in Multiprocessor and Multicore Computing Systems
· Machine learning methods for energy-efficient and high-performance large scale systems
· NoC architectures for deep neural networks
Md Farhadur Reza
Associate Professor of Computer Science (Tenured)
Department of Mathematics and Computer Science
Eastern Illinois University
Research Areas: High-Performance Computing Architectures, Multi/Many-Core Architectures, Systems-on-Chip, Networks-on-Chip, Interconnection Networks, Resource Allocation , Optimization
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Biography
Md Farhadur Reza is an Associate Professor in the Department of Mathematics and Computer Science at Eastern Illinois University (EIU). Prior to joining EIU in Fall '21, he was an Assistant Professor of Computer Science at the University of Central Missouri. He worked as a Postdoctoral Researcher at Virginia Tech in 2019 and at George Washington University in 2018. He served as the General Co-Chair for IEEE/ACM MICRO/NoCArc in 2024, as the Technical Program Co-Chair for IEEE/ACM MICRO/NoCArc in 2023, and is currently the Technical Program Co-Chair for IEEE MCSoC 2025. He served as the Special Sessions and Workshop Chair for IEEE MCSoC 2024 and IEEE MCSoC 2023. At IEEE AICAS 2022, he organized a special session. He has served on the Technical Program Committee of many ACM and IEEE international conferences, including IEEE MCSoC 2023-2024, ACM GLSVLSI 2023, IEEE SOCC 2020-2022, IEEE COINS 2020-2023 and 2025, and IEEE/ACM MICRO/NoCArc 2021-2024. He has served as a Publicity Co-Chair for IEEE COINS from 2022 to 2023 and IEEE/ACM NoCArc 2021. He served as a Publication Co-Chair for IEEE SOCC from 2020 to 2021. He served as a track chair for the Machine Learning track in IEEE MCSoC 2023 and Internet-of-Things track in IEEE COINS 2022. Furthermore, he served as a session chair and/or keynote session chair at several conferences, including IEEE/ACM MICRO/NoCArc (2022 to 2024), IEEE MCSoC 2024, IEEE COINS 2023, IEEE AICAS 2022, IEEE SOCC 2020, and IEEE MWSCAS 2020. He has published more than 20 papers in peer-reviewed journals and conferences, including ACM JETC, ACM/IEEE NOCS, ACM GLSVLSI, IEEE Access, Springer Nature Journal of Supercomputing, and Elsevier MICPRO. In 2014, he received the A. Richard Newton Young Fellow award from ACM/IEEE Design Automation Conference (DAC).
Md Farhadur Reza earned his Ph.D. and M.Sc. degrees in computer science from the University of Louisiana at Lafayette in 2017 and 2014, respectively. He received an MBA degree from the Institute of Business Administration (IBA) at the University of Dhaka in 2011. He obtained a B.Sc. degree in computer science and engineering from Bangladesh University of Engineering and Technology in 2005. He has 7 years of working experience in telecom and software industries. He is a member of IEEE and ACM. His research interests include resource management, networks, multi-core architectures, and machine learning/artificial intelligence, and he has published 24 papers in these areas. Currently, he is developing mathematical models, heuristics, and machine learning/artificial intelligence solutions to optimize the use of computation and communication resources and maximize application performance in systems, including data centers and cloud processors/servers.