Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0001-7883-3596
Biography
Saifur Rahaman is an Assistant Professor (On Leave) of computer science & engineering at the International Islamic University Chittagong, and Ph.D. student in Computer Science at City University of Hong Kong and also a Teaching assistant in the Computer Science at City University of Hong Kong. He has published papers on bioinformatics, expert systems and biomedical engineering. His current research interests include computational intelligence in bioinformatics, new techniques, tools, and methods for bioinformatics, machine learning, biomedical engineering, clinical decision making, and risk analysis in prediction models.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations from the last five years
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Research output
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Depression Detection from Social Media Posts using Ensemble Machine Learning
Ahmed, F., Alam, M. S., Dey, P. & Rahaman, S., Oct 2024, 2024 International Conference on Innovations in Science, Engineering and Technology (ICISET): Innovative Technologies for Global Solutions. IEEE, (International Conference on Innovations in Science, Engineering and Technology: Innovative Technologies for Global Solutions, ICISET).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results
Toseef, M., Petinrin, O. O., Wang, F., Rahaman, S., Liu, Z., LI, X. & WONG, K.-C., Jul 2023, In: Briefings in Bioinformatics. 24, 4, bbad254.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
18 Citations (Scopus) -
A Belief Degree–Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection
Rahaman, S. & Wong, K.-C., 2021, Epistasis: Methods and Protocols. Wong, K.-C. (ed.). New York: Humana Press, p. 307-323 (METHODS IN MOLECULAR BIOLOGY; vol. 2212).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review
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CancerEMC: frontline non-invasive cancer screening from circulating protein biomarkers and mutations in cell-free DNA
Rahaman, S., Li, X., Yu, J. & Wong, K.-C., 1 Oct 2021, In: Bioinformatics. 37, 19, p. 3319–3327Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open Access6 Citations (Scopus)8 Downloads (CityUHK Scholars) -
Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey
Liu, L., Chen, X., Petinrin, O. O., Zhang, W., Rahaman, S., Tang, Z.-R. & Wong, K.-C., Jul 2021, In: Life. 11, 7, 638.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile38 Citations (Scopus)78 Downloads (CityUHK Scholars)
Activities
- 1 Visiting an external academic institution
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Harvard Medical School
RAHAMAN, S. (Visiting Researcher)
15 Jan 2023 → 14 Jan 2024Activity: Visiting an external institution › Visiting an external academic institution