Tokey Tahmid's Homepage

About Me

Tokey Tahmid is a research associate at the Innovative Computing Laboratory (ICL) at the University of Tennessee, Knoxville. He completed his master's degree in computer science from the University of Tennessee, Knoxville. He works in the Performance Measurement & Modeling group at ICL, where he is developing Performance Application Programming Interface (PAPI) support for specialized AI hardware and software. His research focus is primarily in High-Performance Computing, Performance Engineering, and Artificial Intelligence.

Research

Current research work in the Performance group at ICL with Dr. Heike Jagode as the PI involves developing PAPI software support for ever-growing AI chips and accelerators such as the Intel Habana Gaudi. Research responsibilities include research work on PAPI, writing research papers, posters, and proposals.

Research work during a summer internship at the National Renewable Energy Laboratory (NREL) was on the “Low Precision and Efficient Programming Languages for Sustainable AI” role with Dr. Weslley Da Silva Pereira. The research work was published demonstrating excellent results (average speedup of 2.05X and 80.75% better energy efficiency) with mixed-precision training on multiple AI applications at NREL.

Master's thesis research was on Neuromorphic applications and Spiking Neural Networks (SNN) with Dr. Catherine Schuman as the advisor. Developed a scalable and energy-efficient infrastructure (≈22% better and ≈39% more efficient than state-of-the-art) for deep reinforcement learning (DRL) based spiking neural networks (SNN) with MPI for distributed training and mixed precision for optimization.

Research Areas

High-Performance Computing
Performance Engineering
Artificial Intelligence (AI)
Machine Learning & Deep Learning
Reinforcement Learning
Neuromorphic Computing
Distributed Systems

Publications

"PAPI Support for Specialized AI Architectures." – SC2025 (PDSW’25 Workshop)
"SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning." – ICONS2025
"Energy-Efficient Computing for Scalable and Sustainable AI." – University of Tennessee 2024
"Towards Scalable and Efficient Spiking Reinforcement Learning for Continuous Control Tasks." – ICONS2024
"Low Precision for Lower Energy Consumption." – ASCR Energy Efficient Workshop 2024
"Low Precision and Efficient Programming Languages for Sustainable AI: Final Report for the Summer Project of 2024." – National Renewable Energy Laboratory 2024
"Towards the FAIR Asset Tracking Across Models, Datasets, and Performance Evaluation Scenarios." – HPEC2023
"Character animation using reinforcement learning and imitation learning algorithms." – ICIEV and icIVPR 2021

CV/Resume

My Resume

My Curriculum Vitae

Contact

Feel free to reach out to me via email (tokeytahmid13@gmail.com)