Md Hasanur (Hasan) Rahman

PhD Candidate
Computer Science, University of Iowa

I am a PhD candidate in Computer Science at the University of Iowa, where I am fortunate to be advised by Dr. Guanpeng Li. Currently in the fourth year of my PhD, I am a member of the Dependable System Lab at the University of Iowa. 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

News (More)

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)

[MSST’24] A Generic and Efficient Framework for Estimating Lossy Compressibility of Scientific Data
Md Hasanur Rahman, Sheng Di, Guanpeng Li, and Franck Cappello
[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
Received all three artifacts badges
Acceptance rate: 23.6%