About me

I am an Assistant Professor of Computer Science at Texas Lutheran University, where I teach, mentor, and conduct research in algorithms, machine learning, and AI sustainability.

I earned my Ph.D. in Computer Science from The University of Texas at Arlington under the supervision of Dr. Mohammad Atiqul Islam. Prior to that, I completed my B.Sc. in Electrical and Electronic Engineering (EEE) from Bangladesh University of Engineering and Technology (BUET) in 2018 and pursued an MBA at the Institute of Business Administration (IBA), University of Dhaka.

My research focuses on the theoretical, empirical, and security aspects of algorithms and machine learning, with particular emphasis on federated learning. I have developed self-regulating clients that address data-level errors and introduced new server aggregation techniques for efficient, fair, and privacy-preserving federated systems.

I am passionate about advancing sustainable and trustworthy AI while preparing the next generation of computer scientists to innovate responsibly.

News

May 2025: Our Paper “Empowering Clients: Self-Adaptive Federated Learning for Data Quality Challenges” got accepted in IEEE EDGE-2025.

October 2024: Our Paper “Hardware-Sensitive Fairness in Heterogeneous Federated Learning” got accepted in ACM TOMPECS-2024.

August 2024: Selected as Reviewer for ICLR 2024.

June 2024: Selected as Reviewer for NeurIPS 2024.

June 2024: Received a Certificate of Reviewing for contributing a review to ACM Performance Evaluation.

May 2024: Selected as one of the 2024 ML and Systems Rising Stars.

May 2024: Accepted as a graduate mentor for the I Engage Mentoring Program for Summer 2024.

Nov 2023: Our Paper “Enabling Low-Cost Server-Level Power Monitoring in Data Centers Using Conducted EMI” got accepted in Sensys23.

Feel free to reach out if you have any questions or would like to collaborate on research projects!