Md Hasanur Rahman
Electrical & Computer Engineering, University of Florida
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I am a fifth year PhD student in Electrical & Computer Engineering department at University of Florida. Before I transferred to University of Florida, I was in the fourth year of my PhD in Computer Science at University of Iowa (2021-2025). I received my Master's degree in Computer Science from University of Iowa in Spring 2024. I am fortunate to be advised by Dr. Guanpeng Li. I am a member of Dependable System Lab directed by Dr. Li. I am also a research intern at Argonne National Laboratory, supervised by Dr. Sheng Di. Before beginning my doctoral studies, I spent two years (2019–2021) working at Samsung Research, Bangladesh. Prior to that, I earned my undergraduate degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (2015-2019).
Research Interests
High Performance Computing
Dependable System Design
Data Reduction
Parallel Computing
Applied Machine Learning
Large Language Models
News (More)
08/2025: [Paper] My paper on lossy compression is accepted at IPCCC’25!
06/2025: [Paper] My paper on fault tolerance is accepted at SC’25!
01/2025: [Career] I became finalist in UIowa Graduate Research Award.
11/2024: [Career] Served as a student volunteer at SC’24.
03/2024: [Paper] My paper on lossy compression is accepted at MSST 2024.
12/2023: [Paper] My paper on GPU resilience, DRUTO, is accepted at IPDPS’24!
04/2023: [Career] Served as a student volunteer at ICDE’23.
11/2022: [Paper] My paper on lossy compression, FXRZ, is accepted at ICDE’23!
09/2022: [Career] Passed my PhD qualifying exam.
06/2021: [Paper] My paper on fault tolerance, Peppa-X, is accepted at SC’21!
Selected Publications (Full List)
[IPCCC’25] Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer
Md Hasanur Rahman, Sheng Di, Guanpeng Li, and Franck Cappello
Acceptance rate: 32.1%[SC’25] Deploying Lightweight Input-Aware Selective Instruction Duplication in HPC Applications
Md Hasanur Rahman, and Guanpeng Li
Acceptance rate: 21.2%[IPDPS’24] DRUTO: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications
Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, and Franck Cappello
Acceptance rate: 25.0%[ICDE’23] A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets
Md Hasanur Rahman, Sheng Di*, Kai Zhao, Robert Underwood, Guanpeng Li, and Franck Cappello
Acceptance rate: 19.1%[SC’21] PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications
Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, and Guanpeng Li
Acceptance rate: 23.6%