Current Research Projects

My current research projects are:

·     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

Grants

•  Fall 2024 Research Grant at the Eastern Illinois University for the project entitled "Accelerating Deep Learning Applications by Optimizing Neural Network Mapping on Network-on-Chip-based Computing Systems ".         

•  Summer 2024 Research Grant at the Eastern Illinois University for the project entitled "Neuron Mapping and Resource Allocation for Accelerating Deep Learning Applications on Manycore Systems ".       

  •  Fall 2023 Research Grant at the Eastern Illinois University for the project entitled "Intelligent Task-Resource Co-Allocation for Energy-Efficiency and High-Performance in High-Performance Computing Systems ".    

    •  Summer 2022 Research Grant at the Eastern Illinois University for the project entitled "Resource Management in Multiprocessor and Multicore Computing Systems".    

Publications

1.   Md Farhadur Reza, Dominik Cloud, Neural Network-Based Mapping of Deep Neural Networks onto Network-on-Chip Architectures, Accepted to appear in the Proceedings of the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), December 2025.

2. Md Farhadur Reza, Ali Kelly, Advancing Dementia Prediction: A Robust CNN Framework for Early Diagnosis , Accepted to appear in the Proceedings of the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), December 2025.

3. Md Farhadur Reza, "Reinforcement Learning and Convolutional Neural Networks for Generalized and Adaptive Multi-Objective Mapping of DNN Workloads in Networks-on-Chip ",  IEEE International Conference On Electro/Information Technology (EIT), April 2025

4. Md Farhadur Reza, Dominik Cloud, Nature-inspired Dragonfly Algorithm for High-Performance and Energy-Efficient Mapping of Deep Neural Networks in Networks-on-Chip, 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2024), Kuala Lumpur, Malaysia, October 2024

5. Md Farhadur Reza, High-Performance Application Mapping in Network-on-Chip based Multicore Systems, The Journal of Supercomputing, May 2024

6. Md Farhadur Reza,  Application-Architecture Mapping for Energy-Efficiency and High-Performance in Network-on-Chip-based Manycore Architectures , Accepted to appear in the Proceedings of 2024 International VLSI Symposium on Technology, Systems and Applications (VLSI TSA), Hsinchu, Taiwan, April 2024.

7. Md Farhadur Reza, Alex Yeazel, Mapping Model and Heuristics for Accelerating Deep Neural Networks and for Energy-Efficient Networks-On-Chip, Proceedings of IEEE SouthEastCon Conference 2024, Atlanta, GA, USA, March 2024.

8. Md Farhadur Reza,  Machine Learning Enabled Solutions for Design and Optimization Challenges in Networks-on-Chip based Multi/Many-Core Architectures, ACM Journal on Emerging Technologies in Computing Systems, 2023

9.   Md Farhadur Reza,  Zachary McCloud, Heuristics-Enabled High-Performance Application Mapping in Network-on-Chip based Multicore Systems, IEEE International Conference on Omni-layer Intelligent Systems (COINS) 2023, Berlin, Germany

10. Md Farhadur Reza, Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems, IEEE Access (Early Access), DOI:10.1109/ACCESS.2022.3182500, June 2022.

11.  Md Farhadur Reza,  Machine Learning for Design and Optimization Challenges in Multi/Many-Core Network-on-Chip , Proceedings of 14th International Workshop on Network on Chip Architectures (NoCArc), held in conjunction with IEEE/ACM International Symposium on Microarchitecture (MICRO), 2021 

12.  Md Farhadur Reza, Reinforcement Learning for Runtime Optimization for High Performance and Energy Efficient NoC, Accepted to appear in the Proceedings of 18th IEEE International SoC Design Conference (ISOCC), USA, 2021  

13.  Md Farhadur Reza, Bo Zhao, Deep Reinforcement Learning with Different Rewards for Scheduling in High-Performance Computing Systems , In Proceedings of 64th IEEE International Midwest Symposium on Circuits & Systems  (MWSCAS), USA, 2021  

14.  Md Farhadur Reza, Dan Zhao, Magdy Bayoumi, Energy-Efficient Task-Resource Co-Allocation and Heterogeneous Multi-Core NoC Design in Dark Silicon Era, Elsevier Microprocessors and Microsystems Journal, Volume 86, 104055, 2021  

15.  Md Farhadur Reza, Tung Thanh Le, Reinforcement Learning Enabled Routing for High-Performance Networks-on-Chip, In Proceedings of 54th IEEE International Symposium on Circuits and Systems (ISCAS), Korea, 2021

16.   Md Farhadur Reza, Deep Reinforcement Learning for Self-Configurable NoC, In Proceedings of 33rd IEEE International System-on-Chip conference (SOCC), USA, 2020

17.  Md Farhadur Reza, Reinforcement Learning based Dynamic Link Configuration for Energy-Efficient NoC,  In Proceedings of 63rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), USA, 2020

18.  Md Farhadur Reza, Paul Ampadu, Energy-Efficient and High-Performance NoC Architecture and Mapping Solution for Deep Neural Networks,  In Proceedings of 13th IEEE/ACM International Symposium on Networks-on-Chip, New York, USA, 2019

19.  Md Farhadur Reza, Paul Ampadu, Approximate Communication Strategies for Energy-Efficient and High Performance NoC: Opportunities and Challenges, In Proceedings of 29th ACM International Conference on Great Lakes Symposium on VLSI (GLSVLSI), Tysons Corner, VA, USA, 2019

20.   Yuechen Chen, Md Farhadur Reza, Ahmed Louri, DEC-NoC: An Approximate Framework based on Dynamic Error Control with Applications to Energy-efficient NoCs, In the Proceedings of 36th IEEE International Conference on Computer Design (ICCD), Orlando, Florida, USA, 2018

21.  Md Farhadur Reza, Dan Zhao, Magdy Bayoumi, Power-Thermal Aware Load-Balanced Task-Resource Co-Allocation in Heterogeneous Many CPU-GPU Cores NoC in Dark Silicon, In Proceedings of 31st IEEE International System-on-Chip Conference (SOCC), Washington, DC, USA, 2018

22.  Md Farhadur Reza, Dan Zhao, Hongyi Wu, Magdy Bayoumi, HotSpot-Aware Task-Resource Co-Allocation for Heterogeneous Many-Core Networks-on-Chip, Computers & Electrical Engineering, 68(C):581–602, 2018

23.  Md Farhadur Reza et al., Neuro-NoC: Energy Optimization in Heterogeneous Many-Core NoC using Neural Networks in Dark Silicon Era, In Proceedings of 51st IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 2018

24.  Md Farhadur Reza, Computation and Communication Optimization in Many-Core Heterogeneous Server-on-Chip, ProQuest Dissertations Publishing, 2018

25.  Md Farhadur Reza, Dan Zhao, Magdy Bayoumi, Dark Silicon-Power-Thermal Aware Runtime Mapping and Configuration in Heterogeneous Many-Core Chip, In Proceedings of 50th IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, USA, 2017

26.  Md Farhadur Reza, Dan Zhao, Hongyi Wu, Task-Resource Co-Allocation for Hotspot Minimization in Heterogeneous Many-Core NoCs, In Proceedings of 26th ACM International Conference on Great Lakes Symposium on VLSI (GLSVLSI), Boston, MA, USA, 2016

Poster

1.  Md Farhadur Reza, “Computation Hotspots Avoidance in Many-Core Single-Chip Cloud-Computer”,  PhD Forum, A. Richard Newton Young Fellow, Design Automation Conference (DAC), 2014