News
July 2026: Two papers have been accepted to the 19th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Shanghai, China 2025.
i. Md Farhadur Reza, Accuracy-Aware, Hardware-Adaptive Co-Optimization of Pruning and Dataflow for Modern DNNs, IEEE MCSoC, 2026.
ii. Md Farhadur Reza, A Diffusion-Augmented 3D Convolutional Framework for Multi-Class Dementia Screening, IEEE MCSoC, 2026.
March 2026: Awarded with Eastern Illinois University Summer 2026 Council on Faculty Research (CFR) Grant for the Proposal entitled: “Joint Optimization of Pruning and Dataflow Mapping for Accelerating Deep Learning Applications in the Era of AI ”, March. 2026, Eastern Illinois University.
January 2026: Serving as the Technical Program Co-Chair for 19th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Shanghai, China , 2026.
January 2026: Conference paper accepted at Construction Research Congress 2026 . The paper title is "Optimization of HVAC Systems with Edge Computing Using AI and Data Analytics for Building Energy Efficiency".
December 2025: Journal paper accepted at The Journal of Supercomputing. The paper title is "Mapping Models and Heuristics for Accelerating Deep Neural Networks and Designing Energy-Efficient Networks-on-Chip".
December 2025: Presented two research papers at 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2025), Singapore.
December 2025: Served as Session Chair for three (3) research paper sessions at 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2025), Singapore.
November 2025: Awarded with Achievement and Contribution Award (ACA) in Balanced category (Teaching+Research+Service) in recognition of outstanding contribution to the University during the 2024-2025 academic year, Eastern Illinois University.
October 2025: Awarded with Eastern Illinois University (EIU) Student Impact Grant for Faculty Mentor Award in Fall 2025, Eastern Illinois University.
July 2025: Two papers with my two students (recently graduated from EIU) have been accepted to the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Singapore, 2025.
i. Md Farhadur Reza, Dominik Cloud, Neural Network-Based Mapping of Deep Neural Networks onto Network-on-Chip Architectures, IEEE MCSoC, 2025.
ii. Md Farhadur Reza, Ali Kelly, Advancing Dementia Prediction: A Robust CNN Framework for Early Diagnosis , IEEE MCSoC, 2025.
May 2025: Attended and presented a paper at the IEEE EIT 2025 Conference at Valparaiso University, Indiana, USA. Also served as the session chair for the 'Software' session at the conference.
April 2025: Tenured and Promoted to Associate Professor at Eastern Illinois University. I'm very happy to have achieved this significant milestone.
April 2025: Paper accepted at IEEE International Conference On Electro/Information Technology (EIT) 2025. The paper title is "Reinforcement Learning and Convolutional Neural Networks for Generalized and Adaptive Multi-Objective Mapping of DNN Workloads in Networks-on-Chip " .
January 2025: Served as the Technical Program Co-Chair for 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Singapore, 2025.
December 2024: Presented the research paper titled "Nature-inspired Dragonfly Algorithm for High-Performance and Energy-Efficient Mapping of Deep Neural Networks in Networks-on-Chip" at 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2024), Kuala Lumpur, Malaysia.
December 2024: Served as Session Co-Chair of "Multicore/Manycore Interconnection Networks" , 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2024), Kuala Lumpur, Malaysia.
November 2024: Served as the General Co-Chair for NoCArc 2024, co-located with the 57th IEEE/ACM MICRO, which was successfully completed in Austin, Texas.
November 2024: Served as Session Chair for the Keynote session "Rethinking Network Fabric Architectures for Distributed AI/ML Platforms" at NoCArc 2024. Also served as Session Chair for the research paper sessions: Session 1: Interconnects for Emerging Domains and Session 3: Recent Advances in NoC.
October 2024: Paper with Dominik Cloud (Student) accepted at 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2024). The paper title is "Nature-inspired Dragonfly Algorithm for High-Performance and Energy-Efficient Mapping of Deep Neural Networks in Networks-on-Chip" .
October 2024: Awarded with Eastern Illinois University Fall 2024 Council on Faculty Research (CFR) Grant for the Proposal entitled: “Accelerating Deep Learning Applications by Optimizing Neural Network Mapping on Network-on-Chip-based Computing Systems”, October, 2024, Eastern Illinois University.
June 2024: Serving as the General Co-Chair of the International Workshop on Network-on-Chip Architectures (NoCArc) 2024, to be held in conjunction with the 57th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) in Austin, Texas, November 2024.
May 2024: Paper accepted for publication at the Journal of Supercomputing. The paper title is "High-Performance Application Mapping in Network-on-Chip based Multicore Systems".
April 2024: Presented my the invited paper at the 2024 International VLSI Symposium on Technology, Systems and Applications (VLSI TSA), Hinschu, Taiwan, April 2024. The paper title is "Application-Architecture Mapping for Energy-Efficiency and High-Performance in Network-on-Chip-based Manycore Architectures."
April 2024: Presented my research work at the National Yang Ming Chiao Tung University, Hinschu, Taiwan, April 2024.
March 2024: Awarded with Eastern Illinois University Summer 2024 Council on Faculty Research (CFR) Grant for the Proposal entitled: “Neuron Mapping and Resource Allocation for Accelerating Deep Learning Applications on Manycore Systems ”, March. 2024, Eastern Illinois University.
February 2024: Paper with Student (Alex Yeazel) accepted at IEEE SouthEastCon Conference 2024 to be held in Atlanta, GA, USA, March 2024. The paper title is "Mapping Model and Heuristics for Accelerating Deep Neural Networks and for Energy-Efficient Networks-On-Chip".
January 2024: Serving as the Special Special Chair for 17th IEEE International Symposium on Embedded Multicore/Many-core System-on-Chip Conference (MCSoC), Malaysia, 2024.
January 2024: Serving as the Track Chair of “Machine Learning for Energy-efficient, High-performance, and Reliable Manycore Systems and Interconnects” track at 17th IEEE International Symposium on Embedded Multicore/Many-core System-on-Chip Conference (MCSoC), Malaysia, 2024.
January 2023: Serving in the Technical Program Committee Member of IEEE SouthEastCon, Atlanta, GA, USA 2024.
November 2023: Awarded with Achievement and Contribution Award (ACA) in Balanced category (Teaching+Research+Service) in recognition of outstanding contribution to the University during the 2022-2023 academic year, Eastern Illinois University.
October 2023: Chaired two research paper sessions at NoCArc 2023. The title of the sessions were "Session 2: Interconnects for High-Performance and Quantum Computing" and "Session 3: Routing Algorithms for Emerging Architectures".
October 2023: Chaired the keynote session titled "Photonic Systems-on-Chip for Deep Learning" at NoCArc 2023. Dr. Mahdi Nikdast from the Electrical and Computer Engineering Department at Colorado State University was the keynote speaker.
October 2023: Attended NoCArc 2023, colocated with MICRO 2023, in Toronto/Canada. I served as the TPC Co-Chair of NoCArc 2023.
September 2023: Awarded with Eastern Illinois University Fall 2023 Council on Faculty Research (CFR) Grant for the Proposal entitled: “Intelligent Task-Resource Co-Allocation for Energy-Efficiency and High-Performance in High-Performance Computing Systems”, Sep. 2023, Eastern Illinois University.
July 2023: Attended and presented our paper virtually at IEEE International Conference on Omni-layer Intelligent Systems (COINS) 2023, Berlin, Germany. The paper title is "Heuristics-Enabled High-Performance Application Mapping in Network-on-Chip based Multicore Systems". Also, served as a Session Co-Chair for the "Circuit and Systems Track" at IEEE COINS 2023.
May 2023: Serving as the Technical Program Co-Chair of the International Workshop on Network-on-Chip Architectures (NoCArc) 2023, to be held in conjunction with the 56th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) in Toronto, Canada, October 2023.
May 2023: Paper with Zachary McCloud (Student) accepted at IEEE International Conference on Omni-layer Intelligent Systems (COINS) 2023, Berlin, Germany. The paper title is "Heuristics-Enabled High-Performance Application Mapping in Network-on-Chip based Multicore Systems"
March 2023: Paper accepted at ACM Journal on Emerging Technologies in Computing Systems. The paper title is "Machine Learning Enabled Solutions for Design and Optimization Challenges in Networks-on-Chip based Multi/Many-Core Architectures"
February 2023: Serving in the Technical Program Committee Member of 33rd ACM Great Lakes Symposium on VLSI (GLSVLSI), Knoxville, TN, USA 2023
Jan 2023: Serving as the Special Special Chair for 16th IEEE International Symposium on Embedded Multicore/Many-core System-on-Chip Conference (MCSoC), Singapore, 2023
Dec 2022: Track Chair of “Machine Learning for Energy-efficient Manycore Interconnects” track at 16th IEEE International Symposium on Embedded Multicore/Many-core System-on-Chip Conference (MCSoC), 2023
Publicity Co-Chair, IEEE International Conference on Omni-layer Intelligent Systems (COINS), Berlin, Germany, 2023 (Serving since 2022)
Technical Program Committee Member of "Circuits and Systems (CAS) Designs for AI & IoT" track at IEEE COINS 2023
June 2022: Served as a Publicity Co-Chair and a Technical Program Committee (TPC) Member of International Workshop on NoCArc 2022, held in conjunction with the 55th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) from Oct 1-5 in Chicago, Illinois, USA
June-2022: Our paper has been accepted by IEEE Access. The paper title is "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems". Available here: 10.1109/ACCESS.2022.3182500
June 2022: Attended IEEE AICAS 2022 and Chaired the Session "Novel Computation and Communication Methods for AI Accelerator Design" in IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022
June 2022: Worked as a Track Chair for "Internet of Things (IOT): From Device, to Fog, and Cloud" track in IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2022
May-2022: Zachary and Prabin joined the CSN Lab.
Have been awarded the Summer 2022 Research Grant at the Eastern Illinois University for the project entitled "Resource Management in Multiprocessor and Multicore Computing Systems".
Presented research paper at 14th IEEE/ACM NoCArc (collocated with MICRO), Greece (Virtual), October 2021
Journal accepted at Microprocessors and Microsystems (MICPRO), January 2021
Presented research paper at IEEE ISOCC, Korea (Virtual), October 2021
Presented research paper at 64th IEEE MWSCAS, USA (Virtual), August 2021
Presented research paper at 54th IEEE ISCAS, Korea (Virtual), January 2021
Presented research paper at 33rd IEEE SOCC, USA (Virtual), September 2020
Presented research paper at 63rd IEEE MWSCAS, USA (Virtual), August 2020
Presented research paper at 13th IEEE/ACM NOCS, New York, NY, USA, October 2019
Presented research paper at 29th ACM GLSVLSI, Tysons Corner, VA, USA, May 2019
Presented research paper at 31st IEEE SOCC, Washington DC, USA, September 2018
Journal accepted at Computers & Electrical Engineering (CAEE), March 2018
Presented research paper at 50th IEEE ISCAS, Baltimore, MD, USA, May 2017
Presented research paper at 26th ACM GLSVLSI, Boston, MA, USA, May 2016
Received ACM Travel Grant Award from ACM Great Lakes Symposium on VLSI (GLSVLSI), 2016
Presented research poster at 51st ACM/IEEE DAC, San Francisco, CA, USA, June 2014
Received the A. Richard Newton Fellow award from ACM/IEEE Design Automation Conference (DAC) , 2014