Md. Faruk Hosen

Research Interests

• Machine Learning
• Deep Learning
• Bio-informatics
• Health Informatics
• Drug Discovery
• Medical Image Processing

Research Experience (Reviewer)

• 3rd International Conference on Computing Advancements (ICCA) 2024
  ISBN: 978-1-4503-7778-2
  Indexed by: ACM Digital Library, a special issue of AIUB Journal of Science and Engineering (AJSE) [Scopus Indexed].
  Link: https://icca.aiub.edu/

• Results in Engineering (RINENG)
  ISSN: 2590-1230, e-ISSN: 2590-1230
  The official publication of Elsevier.
  Indexed by: Scopus, ESCI, Web of Science, Q1.
  Link: https://www.sciencedirect.com/journal/results-in-engineering

• Informatics in Medicine Unlocked (IMU)
  p-ISSN: 2352-9148, e-ISSN: 2352-9148
  The official publication of Elsevier Ltd.
  Indexed by: Scopus, DOAJ, Q2.
  Link: https://www.sciencedirect.com/journal/informatics-in-medicine-unlocked

Publications (Journal, Published)

1. Md. Faruk Hosen, S. M. H. Mahmud, Goh, K. O. M., Uddin, M. S., Nandi, D., Shatabda, S., Shoombuatong (2024). “An LSTM network-based model with attention techniques for predicting linear T-cell epitopes of the hepatitis C virus,” Results in Engineering, 2024, p. 103476. [IF: 6.0; Q1]
   DOI: 10.1016/j.rineng.2024.103476

2. Md. Faruk Hosen, S. M. H. Mahmud, K. Ahmed, W. Chen, M. A. Moni, H. W. Deng, W. Shoombuatong, M. M. Hasan (2022). “DeepDNAbP: A deep learning based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins,” Computers in Biology and Medicine, vol. 145, p. 105433. [IF: 7.0; Q1]
   DOI: 10.1016/j.compbiomed.2022.105433

3. S. M. H. Mahmud, Kah Ong, Md. Faruk Hosen, Dip Nandi, Watshara S (2024). “Deep-WET: a deep learning-based approach for accurate prediction of DNA-binding proteins using word embedding techniques,” Scientific Reports [IF: 3.8, Q1]
   DOI: 10.1038/s41598-024-52653-9

4. M. K. Alam, Md. Faruk Hosen, K. K. Ganji, K. Ahmed, F. M. Bui (2024). “Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease,” Journal of Genetic Engineering and Biotechnology, vol. 22, no. 4, 2024, p. 100431. [IF: 3.6, Q2]
   DOI: 10.1016/j.jgeb.2024.100431

5. M. A. Basar, Md. Faruk Hosen, B. K. Paul, M. R. Hasan, S. M. Shamim, T. Bhuyian (2023). “Identification of drug and protein-protein interaction network among stress and depression: A bioinformatics approach,” Informatics in Medicine Unlocked, vol. 37, 2023, p. 101174. [IF: 4.21, Q2]
   DOI: 10.1038/s41598-024-52653-9

6. Md. Faruk Hosen, Md Abul Basar, Mst Yasmin, Md Rakibul Hasan, and Muhammad Shahin Uddin (2025). “Identify the potential pathways and candidate biomarkers of stroke associated with bipolar disorder: Bioinformatics and system biology approach,” Journal of Proteins and Proteomics. [Publisher: Springer]
   DOI: 10.1007/s42485-025-00181-z

Publications (Conference, Published)

1. Md. Faruk Hosen, M. A. Basar, M. F. Yasmin, M. Morshed, M. S. Uddin (2024). “Identification of Key Signaling Pathways and Novel Computational Drug Target for Depression and Coronary Artery Disease,” 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Sept. 2024, pp. 1-4. IEEE.
   DOI: 10.1109/COMPAS60761.2024.10796501

2. Md. Faruk Hosen, M. F. Yasmin, M. A. Basar, A. F. Trisha, K. A. Shadhin, M. S. Mollah, M. S. Uddin (2023). “Identification of Candidate Drugs and Molecular Pathways for Pulmonary Arterial Hypertension and Chronic Kidney Disease,” 2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI), Dec. 2023, pp. 1-5. IEEE.
   DOI: 10.1109/STI59863.2023.10465149

3. Md. Faruk Hosen, M. A. Basar, B. K. Paul, M. R. Hasan, M. S. Uddin (2022). “A bioinformatics approach to identify candidate biomarkers and common pathways between bipolar disorder and stroke,” 2022 12th International Conference on Electrical and Computer Engineering (ICECE), Dec. 2022, pp. 429-432. IEEE.
   DOI: 10.1109/ICECE57408.2022.10088854

4. M. A. Basar, Md. Faruk Hosen, M. Al Amin, N. I. Bithi, B. K. Paul (2022). “A bioinformatics and system biology technique to identify candidate biomarkers and functional pathways among stress and depression,” 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECONECE), Dec. 2022, pp. 143-146. IEEE.
   DOI: 10.1109/WIECON-ECE57977.2022.10151170

5. M. F. Yasmin, Md. Faruk Hosen, M. A. Basar, K. A. Shadhin, A. F. Trisha, M. S. Uddin(2023). “Identification of Molecular Biomarkers and Key Pathways among Idiopathic Pulmonary Fibrosis (IPF), Chronic Obstructive Pulmonary Disease (COPD) and Lung Cancer,” 2023 26th International Conference on Computer and Information Technology (ICCIT), Dec. 2023, pp. 1-5. IEEE.
   DOI: 10.1109/ICCIT60459.2023.10441016

6. Cruze, F. R. D., Md. Faruk Hosen, Ali, M. S., Mollah, M. S. H., Uddin, M.S., Morshed, M. (2024). “Unveiling Fake News with an Attention-Based CNN Model Using Hybrid Features,” 2024 2nd International Conference on Information and Communication Technology (ICICT), Oct. 2024, pp. 41-45. IEEE.
   DOI: 10.1109/ICICT64387.2024.10839654

7. Sarker, S., Md. Faruk Hosen, Bashar, M. A., Ahammed, E. (2024). “Integrated Bioinformatics and Machine Learning Analysis Reveals Shared Key Candidate Biomarkers and Therapeutic Targets in Ulcerative Colitis and Colorectal Cancer,” 2024 2nd International Conference on Information and Communication Technology (ICICT), Oct. 2024, pp. 105-109. IEEE.
   DOI: 10.1109/ICICT64387.2024.10839675

Publications (Conference, Accepted but Not Published yet)

1. Juthy, J.N., Tauhid, Md. Faruk Hosen, Basar, M.A., Aktar, M.N., Uddin, M.S., and Morshed, M. (2024). “MN1_DN121_Vg19: A Multi-stream Ensemble Model for Detecting External Damage on Tomato Surface,” 2024 13th International Conference on Electrical and Computer Engineering (ICECE). IEEE.
   

2. Wasima, Jeba, Md. Faruk Hosen, Francis, Rudra, Kader, M.N., Mollah M.S.H., and Uddin, M.S. (2024). “Integrated Bioinformatics and Machine Learning Analysis Uncovers Key Pathways and Therapeutic Targets for Hypertension and Chronic Kidney Disease.,” 27th International Conference on Computer and Information Technology (ICCIT 2024). IEEE.
   

3. Md. Faruk Hosen, Basar, M.A., Hossain, M.S., Sarker, S., Md. Suhag Ali, Monir Morshed, and Uddin, M.S. (2024). “A deep learning-based approach for predicting ubiquitination sites using word embedding techniques.,” 27th International Conference on Computer and Information Technology (ICCIT 2024). IEEE.
   

4. Francis Rudra D Cruze, Mst. Amina Khatun, Md. Faruk Hosen, Mollah M.S.H., Kader, M.N., and Uddin, M.S. (2024). “Leveraging Machine Learning to Uncover Molecular Pathways and Candidate Drugs in Ovarian Cancer and Polycystic Ovary Syndrome.,” 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), 13-15 February, CUET, Bangladesh.
   

Publications (Journal, Manuscript Submitted)

1. Md. Faruk Hosen, K. Ahmed, Mamun Ali, F. M. Bui. (2025) “Comprehensive Bioinformatics and Machine Learning Analysis Reveals Shared Key Candidate Biomarkers and Therapeutic Targets Between Oral cancer and Periodontal Disease,” journal of genetic engineering and biotechnology submitted to the Elsevier.