Department of Software Engineering
Dr. S M Hasan Mahmud  Associate Professor
Name :
Dr. S M Hasan Mahmud
Designation
Associate Professor  
Department
Department of Software Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/swe/drsmhasan.html
E-mail
drhasan.swe@diu.edu.bd
Phone
Cell-Phone
01722418230

Ph.D. in Computer Science and Technology
University of Electronic Science and Technology of China, China

M.Engg. in Software Engineering
Hohai University, China

B.Sc. in Software Engineering
Shenyang University of Chemical Technology, China

  • Scientific Writing (Shenyang University of Chemical Technology, China)
  • Internet Security (UESTC Security Protocol, China)
  • Outcome Based Education: Teachers’ Training (DIU, Bangladesh)
  • International Software Testing Training (DIU, Bangladesh)
  • Training on Teaching International-Level Courses (Hohai University, China)

 

  • Software Engineering
  • Research Methodology
  • Data Science

 

Journals:

 

  1. Mahmud, S.M.H., Chen, W., Liu, Y., Awal, M.A., Ahmed, K., Rahman, M.H., & Moni, M.A. (2021). PreDTIs: Prediction of drug–target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. Briefings in Bioinformatics, 22, bbab046. https://doi.org/10.1093/bib/bbab046 [Impact Factor: 9.5; Q1]
  2. Tani, I.Z., Goh, K.O.M., Islam, M.N., Aziz, M.T., Mahmud, S.M.H., & Nandi, D. (2025). Addressing label noise in colorectal cancer classification using cross-entropy loss and pLOF methods with stacking-ensemble technique. Applied Computational Intelligence and Soft Computing, Article ID 6552580. [Impact Factor: 3.88; Q2]
  3. Hosen, M.F., Mahmud, S.M.H., Goh, K.O.M., Uddin, M.S., Nandi, D., Shatabda, S., & Shoombuatong, W. (2024). An LSTM network-based model with attention techniques for predicting linear T-cell epitopes of the hepatitis C virus. Results in Engineering, 103476. https://doi.org/10.1016/j.rineng.2024.103476 [Impact Factor: 6.0; Q1]
  4. Aziz, M.T., Mahmud, S.M.H., Ong, K., & Nandi, D. (2024). Addressing label noise in leukemia image classification using small loss approach and pLOF with weighted-average ensemble. Egyptian Informatics Journal, 26, 100479. https://doi.org/10.1016/j.eij.2024.100479 [Impact Factor: 5.0; Q1]
  5. Malik, S., Sneha, S.G., Mahmud, S.M.H., Goh, K.O.M., & Nandi, D. (2024). Predicting different classes of Alzheimer’s disease using transfer learning and ensemble classifier. JOIV: International Journal on Informatics Visualization, 8(4), 2452–2461. [Impact Factor: 1.5; Q3]
  6. Shoombuatong, W., Ahmed, S., Mahmud, S.M.H., & Schaduangrat, N. (2025). A comprehensive review and evaluation of machine learning-based approaches for identifying tumor T cell antigens. Computational Biology and Chemistry, 108440. [Impact Factor: 2.6; Q2]
  7. Mahmud, S.M.H., Hosen, M.F., Ong, K., Nandi, D., & Shoombuatong, W. (2024). Deep-WET: A deep learning-based approach for accurate prediction of DNA-binding proteins using word embedding techniques. Scientific Reports. https://doi.org/10.1038/s41598-024-52653-9 [Impact Factor: 3.8; Q1]
  8. Mobin, M.I., Akhter, A.F.M.S., Mridha, M.F., Mahmud, S.M.H., & Aung, Z. (2024). Social media as a mirror: Reflecting mental health through computational linguistics. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3454292 [Impact Factor: 3.4; Q1]
  9. Aziz, M.T., Mahmud, S.M.H., Elahe, M.F., Jahan, H., Rahman, M.H., Nandi, D., Smirani, L.K., Ahmed, K., Bui, F.M., & Moni, M.A. (2023). A novel hybrid approach for classifying osteosarcoma using deep feature extraction and multilayer perceptron. Diagnostics, 13, 2106. [Impact Factor: 3.60; Q2] [Corresponding Author]
  10. Ahmed, A., Mahmud, S.M.H., Rahman, M.H., Smirani, L.K., Ahmed, K., Bui, F.M., & Moni, M.A. (2023). StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images. Journal of King Saud University – Computer and Information Sciences, 35(8). [Impact Factor: 6.9; Q1] [Corresponding Author]
  11. Mahmud, S.M.H., Smirani, L.K., Ahmed, K., Bui, F.M., & Moni, M.A. (2023). Detection of different stages of Alzheimer’s disease using CNN classifier. Computers, Materials & Continua. [Impact Factor: 3.1; Q1]
  12. Hossain, M.A., et al. (2023). Study of kaempferol in the treatment of COVID-19 combined with Chikungunya co-infection by network pharmacology and molecular docking technology. Informatics in Medicine Unlocked, 40, 101289. [Impact Factor: 4.21; Q1]
  13. Bristy, S.A., et al. (2023). An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in virulent bacterial strains of Moraxella catarrhalis. Briefings in Functional Genomics, 22(4), 375–391. [Impact Factor: 2.5; Q1]
  14. Hossain, M.A., et al., Mahmud, S.M.H. (2022). Bioinformatics and system biology approaches to identify molecular pathogenesis of PCOS, type 2 diabetes, obesity, and cardiovascular disease linked to female infertility. Informatics in Medicine Unlocked, 30, 100960. [Impact Factor: 2.5; Q2]
  15. Hosen, M.F., Mahmud, S.M.H., Ahmed, K., Chen, W., Moni, M.A., Deng, H.W., Shoombuatong, W., & Hasan, M.M. (2022). DeepDNAbP: A deep learning-based hybrid approach to identify DNA-binding proteins. Computers in Biology and Medicine, 145, 105433. [Impact Factor: 6.698; Q1]
  16. Mahmud, S.M.H., Chen, W., Jahan, H., Dai, B., Din, S.U., & Dzisoo, A.M. (2020). DeepACTION: A deep learning-based method for predicting novel drug-target interactions. Analytical Biochemistry, 610, 113978. [Impact Factor: 3.365; Q1]
  17. Charoenkwan, C., Schaduangrat, N., Mahmud, S.M.H., & Shoombuatong, W. (2022). Recent development of machine learning-based methods for the prediction of defensin family and subfamily. EXCLI Journal, 21, 757–771. [Impact Factor: 3.13; Q1]
  18. Ontor, M.Z.H., Ali, M.M., Ahmed, K., Bui, F.M., Al-Zahrani, F.A., Mahmud, S.M.H., & Azam, S. (2023). Early-stage cervical cancerous cell detection from cervix images using YOLOv5. Computers, Materials & Continua, 74(2), 3727–3741. [Impact Factor: 3.772; Q1]
  19. Hossain, M.A., Amina, M.A., Hasan, M.I., Sohel, M., Ahammed, M.A., Mahmud, S.M.H., Rahmand, M.R., & Rahman, M.H. (2022). Molecular pathogenesis of PCOS and associated diseases: A systems biology approach. Informatics in Medicine Unlocked, 30, 100960. [Impact Factor: 3.37; Q1]
  20. Mahmud, S.M.H., Al-Mustanjid, M., Akter, F., Rahman, M.S., Ahmed, K., Rahman, M.H., Chen, W., & Moni, M.A. (2021). SARS-CoV-2 impact on IPF and COPD: A bioinformatics and systems biology approach. Briefings in Bioinformatics, 22, bbab115. https://doi.org/10.1093/bib/bbab115 [Impact Factor: 9.5; Q1]
  21. Mahmud, S.M.H., Chen, W., Jahan, H., Liu, Y., & Hasan, S.M.M. (2021). Dimensionality reduction-based multi-kernel framework for drug-target interaction prediction. Chemometrics and Intelligent Laboratory Systems, 212, 104270. [Impact Factor: 3.491; Q1]
  22. Taz, T.A., Ahmed, K., Paul, B.K., Aktar, N., Mahmud, S.M.H., & Moni, M.A. (2020). Network-based identification of SARS-CoV-2 genetic effects on IPF patients. Briefings in Bioinformatics, 00, bbaa235. https://doi.org/10.1093/bib/bbaa235 [Impact Factor: 13.994; Q1]
  23. Mahmud, S.M.H., Chen, W., Meng, H., Jahan, H., Liu, Y., & Hasan, S.M.M. (2020). Prediction of drug-target interaction based on protein features using undersampling and feature selection with boosting. Analytical Biochemistry, 589. https://doi.org/10.1016/j.ab.2019.113507 [Impact Factor: 3.365; Q1]
  24. Din, S.U., Shao, J., Kumar, J., Mahmud, S.M.H., Zhang, W., & Yang, Q. (2021). Data stream classification with novel class detection: A review, comparison, and challenges. Knowledge and Information Systems, 63, 2231–2276. https://doi.org/10.1007/s10115-021-01582-4 [Impact Factor: 3.25; Q1]
  25. Taz, T.A., Ahmed, K., Paul, B.K., Al-Zahrani, F.A., Mahmud, S.M.H., & Moni, M.A. (2021). Identification of biomarkers and pathways for SARS-CoV-2 infections causing complications in pulmonary arterial hypertension patients. Briefings in Bioinformatics, bbab026. https://doi.org/10.1093/bib/bbab026 [Impact Factor: 9.5; Q1]
  26. Rahman, M.H., Rana, H.K., Peng, S., Kibria, M.G., Islam, M.Z., Mahmud, S.M.H., & Moni, M.A. (2021). Bioinformatics approaches to assess the pathophysiological impact of COVID-19 on neurological diseases. Computers in Biology and Medicine, 138, 104859. https://doi.org/10.1016/j.compbiomed.2021.104859 [Impact Factor: 6.698; Q1]
  27. Al Mustanjid, M., Mahmud, S.M.H., & Moni, M.A. (2022). Influence of SARS-CoV-2 infections on autoimmune diseases and drug repurposing: A systems biology approach. Informatics in Medicine Unlocked, 32, 101003. https://doi.org/10.1016/j.imu.2022.101003 [Impact Factor: 3.373; Q2]
  28. Mahmud, S.M.H., Chen, W., Jahan, H., Sujan, N.I., & Ahmed, S. (2019). iDTi-CSsmoteB: Drug-target interaction identification using XGBoost and SMOTE. IEEE Access, 7, 48699–48714. https://doi.org/10.1109/ACCESS.2019.2910277 [Impact Factor: 3.367; Q1]
  29. Bristy, S.A., Hossain, M.A., Hasan, M.I., Mahmud, S.M.H., Moni, M.A., & Rahman, M.H. (2023). Genome sequencing and systems biology to predict AMR genes in Moraxella catarrhalis. Briefings in Functional Genomics. https://doi.org/10.1093/bfgp/elad005 [Impact Factor: 4.241; Q1]
  30. Awal, M.A., Masud, M., Hossain, M.S., Bulbul, A.A.-M., Mahmud, S.M.H., & Bairagi, A.K. (2021). Bayesian optimization-based ML framework for COVID-19 detection. IEEE Access, 9, 10263–10281. [Impact Factor: 3.367; Q1]
  31. Al Mustanjid, M., Mahmud, S.M.H., Islam Royel, M.R., Rahman, H., Islam, T., Rahman, R., & Moni, M.A. (2020). Molecular signatures in IBD and colorectal cancer: A systems biology approach. Genomics, 112, 3416–3426. https://doi.org/10.1016/j.ygeno.2020.06.001 [Impact Factor: 6.205; Q1]
  32. Liu, Y., Chen, W., Qu, H., Mahmud, S.M.H., & Miao, K. (2021). Weakly supervised image classification with graph convolutional networks. Pattern Recognition, 109, 107596. [Impact Factor: 7.196; Core Indexed]
  33. Liu, Y., Chen, W., Qu, H., Mahmud, S.M.H., & Miao, K. (2021). Spatial division networks for weakly supervised detection. Neural Computing and Applications, 33, 4965–4978. [Impact Factor: 5.606; Q1]
  34. Liu, Y., Qu, H., Chen, W., & Mahmud, S.M.H. (2019). Deep learning model for demographic inference from ratings. IEEE Access, 7, 53125–53135. [Impact Factor: 3.367; Q1]
  35. Elahe, M.F., Kabir, M.A., Mahmud, S.M.H., & Azim, R. (2023). Factors impacting short-term load forecasting for EV charging stations. Electronics, 12(55). https://doi.org/10.3390/electronics12010055 [Impact Factor: 2.9; Q2]
  36. Jahan, H., Feng, Z., Mahmud, S.M.H., & Dong, P. (2019). Version-specific test case prioritization using artificial neural networks. Journal of Intelligent & Fuzzy Systems, 36, 6181–6194. [Impact Factor: 1.7; Q2]
  37. Jahan, H., Feng, Z., & Mahmud, S.M.H. (2020). Risk-based test case prioritization by correlating system methods and associated risks. Arabian Journal for Science and Engineering, 45, 6125–6138. [Impact Factor: 1.71; Q2]
  38. Jahan, H., Mahmud, S.M.H., Hossin, M.A., & Noori, S.R.H. (2019). CPN-based test case generation for BPEL-based web services. Journal of Engineering and Applied Sciences, 13. [Scopus Indexed]
  39. Hossain, R., Mahmud, S.M.H., Hossin, M.A., & Noori, S.R.H. (2018). PRMT: Predicting obesity risk using data mining. Procedia Computer Science, 132, 1068–1076. [Scopus Indexed]
  40. Mahmud, S.M.H., Hossin, M.A., Jahan, H., & Noori, S.R.H. (2018). CSV2RDF: RDF data generation from CSV using semantic web technologies. Journal of Theoretical and Applied Information Technology, 96(20). [Scopus Indexed]
  41. Mahmud, S.M.H., Rabbi, M.F., & Guy-Fernand, K.N. (2016). An agent-based search engine architecture for open government datasets search. Communications on Applied Electronics (CAE), 4(7), 21–25. [Indexed]
  42. Elahe, M.F., & Mahmud, S.M.H. (2014). Efficiency of Scrum: The most widely adopted method for agile software development. IOSR Journal of Computer Engineering (IOSR-JCE), 16(6), 70–73.

 

Conference Papers:

  1. Liu, Y., Chen, W., Mahmud, S.M.H., Qu, H. (2019). Mutual Constraint Learning for Weakly Supervised Object Detection. IEEE 14th Int'l Conf. on Intelligent Systems and Knowledge Engineering (ISKE), pp. 534–541, Yalian, China. https://doi.org/10.1109/ISKE47853.2019.9170207 [EI, Scopus]
  2. Rahaman, M.A., Ali, M.M., Ahmed, K., Bui, F.M., Mahmud, S.M.H., Qu, H. (2022). Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells. ICCA 2022, pp. 316–322. https://doi.org/10.1145/3542954.3543000 [EI, Scopus]
  3. Kaushik, M.M., Mahmud, S.M.H., Kabir, M.A., Nandi, D. (2022). The Effects of Class Rebalancing Techniques on Ensemble Classifiers. ADSSS 2022 [EI, Scopus – In Press]
  4. Hasan, M.R., Mahmud, S.M.H., Li, X.Y. (2019). Face Anti-Spoofing Using Texture-Based Techniques. Journal of Physics: Conf. Series, Vol. 1229 [EI, Scopus]
  5. Mahmud, S.M.H., Hossin, M.A., Hasan, M.R., Jahan, H., Noori, S.R.H., Ahmed, M.R. (2019). Publishing CSV Data as Linked Data. ICETIT 2019, Lecture Notes in Electrical Engineering, Vol. 605, Springer. https://doi.org/10.1007/978-3-030-30577-2_72 [ISI, EI, Scopus]
  6. Mahmud, S.M.H., Hossin, M.A., Ahmed, M.R., Noori, S.R.H., Sarkar, M.N.I. (2018). Unified Framework for Diabetes Prediction. BDET 2018, Chengdu, China [EI, Scopus]
  7. Ahmed, M.R., Mahmud, S.M.H., Hossin, M.A., Jahan, H., Noori, S.R.H. (2018). Four-Tier Cloud Architecture for Heart Disease Detection. IEEE ICCC 2018, Chengdu, China [EI, Scopus]
  8. Rana, M.S., Hossin, M.A., Mahmud, S.M.H., et al. (2019). MinFinder: A New Sorting Algorithm. Procedia Computer Science, Vol. 154, pp. 130–136 [EI, Scopus]
  9. Mahmud, S.M.H., Hossin, M.A., Jahan, H., Noori, S.R.H., Bhuiyan, T. (2018). CSV-ANNOTATE: Annotated Tables from CSV Files. ICAIBD 2018, Chengdu, China [EI, Scopus]
  10. Kabir, M.A., Hossin, M.A., Mahmud, S.M.H., Noori, S.R.H., Bhuiyan, T. (2018). Usability Evaluation in SCM Systems. IEEE ICCC, Chengdu, China [EI, Scopus]
  11. Rana, M.S., Hossin, M.A., Mahmud, S.M.H., Jahan, H., Hossen, M.A. (2018). Facebook User Management in Distributed DB Systems. IEEE ICSESS, Beijing, China, pp. 1050–1053 [EI]
  12. Mahmud, S.M.H., Kabir, M.A., Salem, O.M.A., Fernand, K.N.G. (2016). Security Analysis of Online Shopping Platforms. IEEE ICCSNT, [Best Paper Award] [EI, Scopus]
  13. Roy, M.K., Paul, P.K., Noori, S.R.H., Mahmud, S.M.H. (2019). Suffix-Based POS Tagging for Bangla Language. IEEE ECCE 2019, Cox’s Bazar, pp. 1–5. https://doi.org/10.1109/ECACE.2019.8679161 [Scopus; Best Paper Award]
  14. Sohan, M.F., Jabiullah, M.I., Rahman, S.S.M.M., Mahmud, S.M.H. (2019). Effect of Imbalanced Learning in Software Defect Prediction. IEEE ICCCNT, Kanpur, India, pp. 1–6. https://doi.org/10.1109/ICCCNT45670.2019.8944622 [Scopus]
  15. Sohan, M.F., Kabir, M.A., Rahman, M., Mahmud, S.M.H., Bhuiyan, T. (2020). Training Data Selection for Software Defect Prediction. LNICST, Springer, Vol. 325. https://doi.org/10.1007/978-3-030-52856-0_19 [Scopus]
  16. Hossen, M.A., et al. (2019). Hybrid Sampling with RF for Software Defect Prediction. Lecture Notes in Electrical Engineering, Vol. 632, Springer. https://doi.org/10.1007/978-981-15-2317-5_46 [Scopus]
  17. Kabir, M.A., Islam, M.M.M., Mahmud, S.M.H., Elahe, M.F. (2022). Spectrum Impact Analysis for Fault Localization. ICCA 2022, pp. 59–66. https://doi.org/10.1145/3542954.3542964 [ACM]
  18. Rahaman, M.A., Ahmed, K., Mahmud, S.M.H. (2022). Performance of YOLOv5 for Blood Cell Detection. ICCA 2022, pp. 316–322. https://doi.org/10.1145/3542954.3543000 [ACM]
  19. Mahi, R.B., Faisal, M., Mahmud, S.M.H. (2022). High-Speed Data Reception in DSOs. ICCA 2022, pp. 478–484. https://doi.org/10.1145/3542954.3543065 [ACM]
  20. Sohan, M.F., Kabir, M.A., Rahman, M., Mahmud, S.M.H., Bhuiyan, T. (2020). Data Selection for Defect Prediction. ICONCS 2020, Springer Proceedings, pp. 243–256 [Springer, Scopus]
  21. Shakhawat, H., Hossain, S., Kabir, A., Mahmud, S.M.H., Tariq, F. (2022). Artifact Detection in Digital Pathology. In AI for Disease Diagnosis and Prognosis in Smart Healthcare, CRC Press, pp. 177–202.
  22. Mia, Md R., et al. (2022). PreCKDML: ML-based Prediction Model for Chronic Kidney Disease. Int'l Conf. on Machine Intelligence and Emerging Technologies, Springer Nature, Switzerland. [Scopus, Springer]

 

Data Science, Computer Vision, Medical Image Analysis, Bioinformatics, Health Informatics, Machine Learning

  • Outstanding Research and Academic Award – UESTC, China
  • Best Paper Award – IEEE ICCSNT 2016
  • Fellowship – Postdoctoral (Mahidol University, Thailand; MMU, Malaysia)
  • Chinese Government Scholarship – Ph.D., Masters, and Bachelors
  • Senior Assistant Professor and Assistant Professor
    Department of Computer Science, American International University-Bangladesh, Bangladesh (Jan 2021 – Jan 2025)
  • Lecturer
    Department of Software Engineering, Daffodil International University (May 2013 – Sep 2017)
  • Lecturer
    Department of CSE, Atish Dipankar Science and Technology University (Nov 2012 – Apr 2013)
  • Software Quality Assurance Engineer
    ServicEngine BPO (Jan 2012 – Aug 2012)
  • System Engineer
    DNS Engineering and Communication Ltd (Jul 2011 – Oct 2011)