Task-Resource Co-Allocation for Hotspot Minimization in Heterogeneous Many-Core NoCs. - Md Farhadur Reza; Dan Zhao 001; Hongyi Wu (ACM Great Lakes Symposium on VLSI, 2016)

Dark silicon-power-thermal aware runtime mapping and configuration in heterogeneous many-core NoC. - Md Farhadur Reza; Dan Zhao 001; Magdy A. Bayoumi (ISCAS, 2017)

DEC-NoC: An Approximate Framework Based on Dynamic Error Control with Applications to Energy-Efficient NoCs. - Yuechen Chen; Md Farhadur Reza; Ahmed Louri (ICCD, 2018)

Neuro-NoC: Energy Optimization in Heterogeneous Many-Core NoC using Neural Networks in Dark Silicon Era. - Md Farhadur Reza; Tung Thanh Le; Bappaditya Dey; Magdy A. Bayoumi; Dan Zhao 001 (ISCAS, 2018)

Power- Thermal Aware Balanced Task-Resource Co-Allocation in Heterogeneous Many CPU-GPU Cores NoC in Dark Silicon Era. - Md Farhadur Reza; Dan Zhao 001; Magdy A. Bayoumi (SoCC, 2018)

Hotspot-aware task-resource co-allocation for heterogeneous many-core networks-on-chip. - Md Farhadur Reza; Dan Zhao 001; Hongyi Wu; Magdy A. Bayoumi (Comput. Electr. Eng., 2018)

Approximate Communication Strategies for Energy-Efficient and High Performance NoC: Opportunities and Challenges. - Md Farhadur Reza; Paul Ampadu (ACM Great Lakes Symposium on VLSI, 2019)

Energy-efficient and high-performance NoC architecture and mapping solution for deep neural networks. - Md Farhadur Reza; Paul Ampadu (NOCS, 2019)

Reinforcement Learning based Dynamic Link Configuration for Energy-Efficient NoC. - Md Farhadur Reza (MWSCAS, 2020)

Deep Reinforcement Learning for Self-Configurable NoC. - Md Farhadur Reza (SoCC, 2020)

Reinforcement Learning Enabled Routing for High-Performance Networks-on-Chip. - Md Farhadur Reza; Tung Thanh Le (ISCAS, 2021)

Reinforcement Learning for Runtime Optimization for High Performance and Energy Efficient NoC. - Md Farhadur Reza (ISOCC, 2021)

Machine learning for design and optimization challenges in multi/many-core network-on-chip. - Md Farhadur Reza (NoCArc@MICRO, 2021)

Deep Reinforcement Learning with Different Rewards for Scheduling in High-Performance Computing Systems. - Md Farhadur Reza; Bo Zhao 012 (MWSCAS, 2021)

Energy-efficient task-resource co-allocation and heterogeneous multi-core NoC design in dark silicon era. - Md Farhadur Reza; Dan Zhao 001; Magdy A. Bayoumi (Microprocess. Microsystems, 2021)

Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems. - Md Farhadur Reza (IEEE Access, 2022)

Heuristics-Enabled High-Performance Application Mapping in Network-on-Chip based Multicore Systems. - Md Farhadur Reza; Zachary McCloud (COINS, 2023)

Machine Learning Enabled Solutions for Design and Optimization Challenges in Networks-on-Chip based Multi/Many-Core Architectures. - Md Farhadur Reza (ACM J. Emerg. Technol. Comput. Syst., 2023)

Nature-inspired Dragonfly Algorithm for High-Performance and Energy-Efficient Mapping of Deep Neural Networks in Networks-on-Chip. - Md Farhadur Reza; Dominik Cloud (MCSoC, 2024)

High-performance application mapping in network-on-chip-based multicore systems. - Md Farhadur Reza (J. Supercomput., 2024)