Mr. Humayan Kabir Rana

Sr. Lecturer
Department of Computer Science and Engineering
Green University of Bangladesh
Duration: September, 2018 to Present

Sr. Lecturer and Program Coordinator
Department of Computer Science and Engineering
Green University of Bangladesh
Duration: May, 2018 to August, 2018

Lecturer and Program Coordinator
Department of Computer Science and Engineering
Green University of Bangladesh
Duration: April, 2017 to April, 2018

Lecturer
Department of Computer Science and Engineering
Green University of Bangladesh
Duration: September, 2015 to March 2017

Other Experiences:

Member (Secretary), OBE based Evaluation committee
Department of Computer Science and Engineering
Green University of Bangladesh
Duration: Sept 2019 to present

Member (Secretary), Program Self-Assessment Committee
Department of Computer Science and Engineering
Green University of Bangladesh
Duration: June 2020 to present

Deputy Moderator, Green University Computer Club
Department of Computer Science and Engineering
Green University of Bangladesh
Duration: May 2016 to March 2017

Moderator, Student Mentorship Program
Department of Computer Science and Engineering
Green University of Bangladesh
Duration: February 2016 to March 2017

Journals:

1. M. S. Islam, K. F. Hasan, H. H. Shajeeb, H. K. Rana, M. S. Rahman, M. M. Hasan, A. Azad, I. Abdullah, and M. A. Moni, “Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of covid-19 detection,” AI Open, vol. 6, pp. 12–44, 2025, (Elsevier, Scopus, Q1, CS=45.0).
2. S. C. Das, W. Tasnim, H. K. Rana, U. K. Acharjee, M. M. Islam, and R. Khatun, “Comprehensive bioinformatics and machine learning analyses for breast cancer staging using tcga dataset,” Briefings in Bioinformatics, vol. 26, no. 1, p. bbae628, 2025, (Oxford University Press, SCI, Q1, IF=6.8).
3. H. Mukit, S. Hossain, M. M. Farabi, M. Z. Chowdhury, A. I. Pritom, and H. K. Rana, “SMILES2DTA: a CNN-based approach for identifying drug candidates and predicting drug-target binding affinity,” Neural Computing and Applications, vol. 37, no. 4, pp. 2891–2910, 2025, (Springer, SCI, Q1, IF=4.5), [Corresponding Author].
4. M. T. Khatun, H. K. Rana, M. A. Hossain, K. Lakshmanna, M. M. Rahman, A. Parvin, and M. H. Rahman, “Bioinformatics and systems biology approaches to identify molecular targets and pathways shared between schizophrenia and bipolar disorder,” Informatics in Medicine Unlocked, vol. 49, p. 101556, 2024, (Elsevier, Scopus, Q2, CS=9.5).
5. N. K. Podder, H. K. Rana, A. K. Puza, M. I. Hasan, S. B. S. Omit, P. C. Shill, M. A. Rahim, R. Shamsuddin, B. C. Podder, and M. H. Rahman, “Interplay of machine learning and bioinformatics approaches to identify genetic biomarkers that affect survival of patients with glioblastoma,” Informatics in Medicine Unlocked, p. 101505, 2024, (Elsevier, Scopus, Q2, CS=9.5).
6. M. R. Akhtar, M. N. I. Mondal, and H. K. Rana, “Bioinformatics approach to identify the impacts of microgravity on the development of bone and joint diseases,” Informatics in Medicine Unlocked, vol. 38, p.101211, 2023, (Elsevier, Scopus, Q2, CS=9.5).
7. S. B. S. Omit, S. Akhter, H. K. Rana, A. Rana, N. K. Podder, M. I. Rakib, A. Nobi et al., “Identification of comorbidities, genomic associations, and molecular mechanisms for covid-19 using bioinformatics approaches,” BioMed Research International, vol. 2023, p. 6996307, 2023, (Hindawi, SCIE, IF=3.24).
8. M. B. R. Mredul, U. Khan, H. K. Rana, T. M. Meem, M. A. Awal, M. H. Rahman, and M. S. Khan, “Bioinformatics and system biology techniques to determine biomolecular signatures and pathways of prion disorder,” Bioinformatics and Biology Insights, vol. 16, pp. 1–14, 2022, (SAGE, ESCI, IF=4.00).
9. J. D. Barua, S. B. S. Omit, H. K. Rana, N. K. Podder, U. N. Chowdhury, and M. H. Rahman, “Bioinformatics and system biological approaches for the identification of genetic risk factors in the progression of cardiovascular disease,” Cardiovascular Therapeutics, vol. 2022, no. 9034996, 2022, (Hindawi, SCIE, IF=3.36).
10. Z. Nain, H. K. Rana, P. Liò, S. M. S. Islam, M. A. Summers, and M. A.Moni, “Pathogenetic profiling of covid-19 and SARS-like viruses”, Briefings in Bioinformatics, vol. 22, no. 2, pp. 1175-1196, 2021, (Oxford University Press, SCI, IF=11.26).
11. M. H. Rahman, H. K. Rana, S. Peng, X. Hu, C. Chen, J. M. Quinn, andM. A. Moni, “Bioinformatics and machine learning methodologies to identifythe effects of central nervous system disorders on glioblastoma progression”, Briefings in Bioinformatics, vol. bbaa365, pp. 1–23, 2021, (Oxford University Press, SCI, IF=11.26).
12. M. H. Rahman, H. K. Rana, S. Peng, M. G. Kibria, M. Z. Islam, S. H. Mahmud, and M. A. Moni, “Bioinformatics and system biology approaches to identify pathophysiological impact of covid-19 to the progression and severity of neurological diseases,” Computers in biology and medicine, p. 104859, 2021,(Elsevier, SCI, IF=4.58)
13. H. K. Rana, M. R. Akhtar, M. B. Islam, M. B. Ahmed, P. Lio, F. Huq,J. M. Quinn, and M. A. Moni, “Machine learning and bioinformatics modelsto identify pathways that mediate influences of welding fumes on cancer pro-gression,”Scientific Reports, vol. 10, p. 2795, 2020, (Nature, SCI, IF=4.12).
14. N. K. Podder, H. K. Rana, M. S. Azam, M. S. Rana, M. R. Akhtar, M. R.Rahman, M. H. Rahman, and M. A. Moni, “A system biological approachto investigate the genetic profiling and comorbidities of type 2 diabetes,”Gene Reports, vol. 21, p. 100830, 2020, (Elsevier, SCI, IF=1.0).
15. M. R. Rahman, T. Islam, M. Shahjaman, H. K. Rana, R. D. Holsinger, J. M. Quinn, E. Gov, and M. A. Moni,“Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s,”Biointerface Research in Applied Chemistry, vol. 11, no. 2, pp. 8686–8701, 2020, (BIR, SCI, IF=.60).
16. M. S. Azam, M. A. Raihan, and H. K. Rana, “An experimental study ofvarious machine learning approaches in heart disease prediction,”Interna-tional Journal of Computer Applications, vol. 175, no. 21, pp. 16–21, 2020,(FCS, RG, IF=3.12).
17. M. S. Azam, M. Habibullah, and H. K. Rana, “Performance analysis of various machine learning approachesin stroke prediction,”International Journal of Computer Applications, vol. 175, no. 21, pp. 11–15, 2020,(FCS, RG, IF=3.12).
18. M. S. Azam and H. K. Rana, “Iris recognition using convolutional neural network,”International Journal of Computer Applications, vol. 175, no. 12, pp. 24–28, 2020, (FCS, RG, IF=3.12).
19. M. A. Moni, H. K. Rana, M. B. Islam, M. B. Ahmed, H. Xu, M. A. M.Hasan, Y. Lei, and J. M. Quinn, “A computational approach to identifyblood cell-expressed parkinson’s disease biomarkers that are coordinatelyexpressed in brain tissue,”Computers in biology and medicine, p. 103385, 2019, (Elsevier, SCI, IF=4.58).
20. H. K. Rana, M. R. Akhtar, M. B. Islam, M. B. Ahmed, P. Lio, J. M. Quinn,F. Huq, and M. A. Moni, “Genetic effects of welding fumes on the develop-ment of respiratory system diseases,”Computers in biology and medicine, vol. 108, pp. 142–149, 2019, (Elsevier, SCI, IF=4.58).
21. H. K. Rana, M. R. Akhtar, M. B. Ahmed, P. Lio, J. M. Quinn, F. Huq, andM. A. Moni, “Genetic effects of welding fumes on the progression of neurode-generative diseases,”Neurotoxicology, vol. 71, pp. 93–101, 2019, (Elsevier,SCI, IF=4.29).
22. H. K. Rana, M. S. Azam, M. R. Akhtar, J. M. Quinn, and M. A. Moni, “A fast iris recognition systemthrough optimum feature extraction,”PeerJ Computer Science, vol. 5, p. e184, 2019, (PeerJ, SCI, IF=3.09).
23. M. R. Akhtar, H. K. Rana, and M. K. Noman, “Weighted multi-band summary correlogram (mbsc)-basedpitch estimation and voice activity detection for noisy speech,”WSEAS Transactions on Acoustics andMusic, vol. 5, pp. 20–27, 2018.
24. M. R. Hossen, M. S. Azam, and H. K. Rana, “Performance evaluation of various dna pattern matchingalgorithms using different genome datasets,”Pabna University of Science and Technology Studies, vol. 3,no. 1, pp. 14–18, 2018.
25. F. T. Johora, M. H. Jony, M. S. Hossain, and H. K. Rana, “Lung cancer detection using marker-controlledwatershed with SVM,”GUB Journal of Science and Engineering, vol. 5, no. 1, pp. 24–30, 2018.
26. H. K. Rana, M. S. Azam, and M. R. Akhtar, “Iris recognition system using PCA based on DWT,”SMJournal of Biometrics and Biostatistics, vol. 2, no. 3, p. 1015, 2017.
27. M. A. Mujtaba, M. S. Azam, and H. K. Rana, “Performance evaluation of various data mining classifi-cation techniques that correctly classify banking transaction as fraudulent,”GUB Journal of Science andEngineering, vol. 4, no. 1, pp. 59–63, 2017.

Conferences:

1. M. S. Rana, N. K. Podder, H. K. Rana, M. I. Hasan, M. S. Azam, M. A. Rahim, S. H. S. Iqbal, and S. Saha, “Identification of genomic associations between parkinson’s and neurodegenerative diseases using bioinformatics models,” in 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2023, pp. 1–6
2. M. I. Molla, J. J. Jui, H. K. Rana, and N. K. Podder, “Machine learning algorithms for the prediction of prostate cancer,” in Proceedings of International Conference on Information and Communication Technology for Development: ICICTD 2022. Springer, 2023, pp. 471–482
3. B. Roy, S. Nahar, M. I. Hasan, H. K. Rana, N. K. Podder, and S. B. S. Omit, “Identification of influential genes for colorectal cancer using machine learning approaches,” in 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI). IEEE, 2022, pp. 1–6
4. M. I. Hasan, S. Nahar, B. Roy, H. K. Rana, N. K. Podder, and S. B. S. Omit, “Identification of influential genes for lung cancer using machine learning approaches,” in 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI). IEEE, 2022, pp. 1–6
5. N. K. Podder, A. K. Puza, H. K. Rana, B. C. Podder, M. H. Sumon, N. J. Rinvi, M. A. Rahim, and P. C. Shill, “Identification of influential genes and comorbidities of colorectal cancer,” in 2022 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET). IEEE, 2022, pp. 1–5
6. N. K. Podder, P. C. Shill, H. K. Rana, S. Saha, A. Mimi, N. N. Corniya, N. Paul, and T. K. Saha, “Network-based approach to identify pathways and macromolecule interactions that mediate influences of covid-19 on the progression of respiratory system diseases,” in 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE). IEEE, 2022, pp. 1–6
7. N. K. Podder, F. Akter, A. K. Puza, P. C. Shill, H. K. Rana, K. K. Saha, R. Datta, and M. A. Hossain, “A bioinformatics approach to identify the influences of diabetes on the progression of cancers,” in 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE). IEEE, 2022, pp. 1–6
8. N. K. Podder, P. C. Shill, H. K. Rana, S. B. S. Omit, M. M. H. Al Shahriar, and M. S. Azam, “Genetic effects of covid 19 on the development of neurodegenerative diseases,” in 2021 5th International Conference on Electrical Information and Communication Technology (EICT). IEEE, 2021, pp. 1–6
9. R. Datta, N. K. Podder, H. K. Rana, M. K. B. Islam, and M. A. Moni, “Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancer,” in 2020 23rd International Conference on Computer and Information Technology (ICCIT). IEEE, 2020, pp. 1–6
10. M. H. Jony, F. T. Johora, P. Khatun, and H. K. Rana, “Detection of lung cancer from CT scan imagesusing GLCM and SVM,” in 1st International Conference on Advances in Science, Engineering and RoboticsTechnology (ICASERT 2019), EWU, Bangladesh. IEEE, 2019, pp. 24–30.

1. 2023 Research Excellence Award by GUB for a research paper with CS: 9.5
2. 2022 Research Excellence Award by GUB for two outstanding research papers with IF: 13.99 and 6.69
3. 2021 Research Excellence Award by GUB for an outstanding research paper with IF: 11.62
   
   2021 Research Excellence Award by GUB for an outstanding research paper with IF: 11.62Research Excellence Award by GUB for two outstanding research papers with IF: 13.99 and 6.69
   
   2021 Research Excellence Award by GUB for an outstanding research paper with IF: 11.62
   
   2021 Research Excellence Award by GUB for an outstanding research paper with IF: 11.62

• Bioinformatics
• Machine Learning
• Medical Image Analysis
• Computer vision
• Signal Processing

Keynote Speeches:

1. Seminar on: How to Publish a Research Paper organized by Centre for Research Innovation and Transformation (CRIT), Green University of Bangladesh (GUB).