Md Hasanur (Hasan) Rahman
Computer Science, University of Iowa
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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 PhD journey, 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). Recently, in 2024, I also received my Master’s degree in Computer Science from University of Iowa.
Contact
Email: mdhasanur-rahman@uiowa.edu
Research Interests
High Performance Computing
Dependable System Design
Data Reduction
Parallel Computing
Applied Machine Learning
News (More)
11/2024: [Career] Served as a student volunteer at SC’24.
04/2024: [Career] Passed my PhD comprehensive exam. I am now a PhD candidate.
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%