Md Hasanur Rahman
Electrical & Computer Engineering, University of Florida
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I am a final-year PhD candidate in Electrical and Computer Engineering at the University of Florida, advised by Dr. Guanpeng Li. I began my doctoral studies in 2021 and expect to graduate in Spring 2027.
My research focuses on developing reliable and data-efficient computing systems, spanning high-performance computing (HPC) and intelligent systems. My work has been published at leading venues, including SC, IPDPS, and ICDE. I was also named the finalist for Graduate Research Excellence Award in 2025.
Before beginning my doctoral studies, I worked as a software engineer at Samsung Research, Bangladesh (2019–2021). I received my bachelor's degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology in 2019.
I am on the job market this year!
Research Interests
High-Performance Computing
Dependable System Design
Data Reduction
Program Analysis
Parallel Computing
Reliable and Efficient AI
News (More)
07/2026: [Paper] Our paper is accepted at SC’26!
06/2026: [Career] I am now officially a PhD candidate!
05/2026: [Award] Awarded Travel Grant from SC’26.
04/2026: [Service] Served in the technical program committee at IEEE CLOUD Summit 2026.
06/2025: [Paper] Our paper on fault tolerance is accepted at SC’25!
01/2025: [Award] I became finalist in University of Iowa Graduate Research Excellence Award.
05/2024: [Award] Awarded Travel Grant from SC’24.
12/2023: [Paper] Our paper on GPU resilience, DRUTO, is accepted at IPDPS’24!
02/2023: [Award] Awarded Travel Grant from ICDE’23.
11/2022: [Paper] Our paper on lossy compression, FXRZ, is accepted at ICDE’23!
06/2021: [Paper] Our paper on fault tolerance, Peppa-X, is accepted at SC’21!
Awards (Full List)
2026: SC Travel Award
2025: University of Iowa Graduate Research Excellence Award Finalist
2024: SC Travel Award
2023: ICDE Travel Award
Selected Publications (Full List)
[SC’26] Temporal Modeling of Soft Error Propagation Using Dynamic Bayesian Networks
Ahmer Jamil, Md Hasanur Rahman, Bingzhe Li, Xiaoyi Lu, and Guanpeng Li
Acceptance rate: 19.0%[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: 26.1%[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: 30.6%[PRDC’22] Characterizing Deep Learning Neural Network Failures between Algorithmic Inaccuracy and Transient Hardware Faults
Sabuj Laskar, Md Hasanur Rahman, Bohan Zhang, and Guanpeng Li
Acceptance rate: 36.0%[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%