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BIOGRAPHY

Md Mahfuzur Rahaman is a lecturer in the UCF Department of Computer Science. He earned his doctoral degree in computer science from UCF. His research is focused on the field of computational biology bioinformatics, contributing to design de novo algorithms to identify structural patterns in RNA 3D. He also holds a master’s degree in computer science from UCF and a bachelor’s degree in computer science and engineering from Shahjalal University of Science and Technology, Bangladesh.

Rahaman brings extensive teaching and research experience to his role. Prior to his doctoral studies, he served as a faculty member at Shahjalal University of Science and Technology from 2015 to 2018, where he taught various computer science courses and supervised undergraduate research. He also worked as a Software Engineer at Nilavo Technologies Limited and served as a trainer for ACM ICPC programming contests. His research expertise spans computational biology, RNA structural analysis and algorithm development. During his graduate studies at UCF, he served as both a graduate teaching assistant and graduate research assistant, contributing to multiple high-impact publications and developing several computational tools for RNA structural analysis.

EDUCATION

  • Ph.D. in Computer Science, University of Central Florida
  • M.S. in Computer Science, University of Central Florida
  • B.S. in Computer Science and Engineering, Shahjalal University of Science and Technology

RESEARCH

  • Computational Biology
  • Bioinformatics
  • RNA Biology
  • Algorithms

PUBLICATIONS

  • Khan, N.S., Rahaman, M.M. and Zhang, S., 2025. GINClus: RNA structural motif clustering using graph isomorphism network. NAR Genomics and Bioinformatics, 7(2), p.lqaf050.
  • Chen, X., Rahaman, M.M., Naseri, A. and Zhang, S., 2025. CRIBAR: a fast and flexible sgRNA design tool for CRISPR imaging. Bioinformatics Advances, 5(1), p.vbaf022.
  • Rahaman, M.M. and Zhang, S., 2024. RNAMotifProfile: a graph-based approach to build RNA structural motif profiles. NAR Genomics and Bioinformatics, 6(3), p.lqae128.
  • Rahaman, M.M., Khan, N.S. and Zhang, S., 2023. RNAMotifComp: a comprehensive method to analyze and identify structurally similar RNA motif families. Bioinformatics, 39(Supplement 1), pp.i337-i346.
  • Khan, N.S., Rahaman, M.M., Islam, S. and Zhang, S., 2023. RNA-NRD: a non-redundant RNA structural dataset for benchmarking and functional analysis. NAR Genomics and Bioinformatics, 5(2), p.lqad040.
  • Islam, S., Rahaman, M.M. and Zhang, S., 2021. RNAMotifContrast: a method to discover and visualize RNA structural motif subfamilies. Nucleic Acids Research, 49(11), pp.e61-e61.

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