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Sr. Lecturer (September, 2018 - Present)Department of Computer Science and EngineeringGreen University of BangladeshCell: +8801723744140E-mail: humayan@cse.green.edu.bd (official) humayan.pustcse@gmail.com (personal)
Seminars/Workshops
Extra-Curricular Activities
Humayan Kabir Rana is currently working as a Sr. Lecturer at the department of Computer Science and Engineering, Green University of Bangladesh. Humayan does research in Bioinformatics and Computational Biology, Gene Expression Analysis, DNA Sequence Analysis and Image Processing. The primary focus of his research is to analyze Dysregulated Genes, Disease Association Network, Gene Enrichment, Protein-Protein Interaction and co-morbidity of complex disease.
Experience:
Experience:
Sr. Lecturer
Department of Computer Science and EngineeringGreen University of BangladeshDuration: September 2018 to PresentSr. Lecturer and Program Coordinator
Department of Computer Science and EngineeringGreen University of BangladeshDuration: May 2018 to August 2018Lecturer and Program Coordinator
Department of Computer Science and EngineeringGreen University of BangladeshDuration: April 2017 to April 2018Lecturer
Department of Computer Science and EngineeringGreen University of BangladeshDuration: September 2015 to March 2017Other Experience:
Member (Secretary) of OBE based Evaluation committee
Department of Computer Science and EngineeringGreen University of BangladeshDuration: September 2019 to PresentMember (Secretary) of Program Self-Assessment Committee
Department of Computer Science and EngineeringGreen University of BangladeshDuration: June 2020 to PresentDeputy Moderator, Green University Computer Club
Department of Computer Science and EngineeringGreen University of BangladeshDuration: May 2016 to March 2017Moderator, Student Mentorship Program
Department of Computer Science and EngineeringGreen University of BangladeshDuration: February 2016 to March 2017Education:
Education:
M.Sc. Engineering in Computer Science and Engineering
Rajshahi University of Engineering & Technology (RUET)Dept. of Computer Science and EngineeringDuration: 2022-2026B.Sc. Engineering in Computer Science and Engineering
Pabna University of Science and Technology, PabnaDept. of Computer Science and EngineeringAchievement: Stood 1st positionDuration: 2010-2015HSC in Science
Police line’s School and College, KushtiaDuration: 2009-2007SSC in Science
Shandhani School and College, Gangni, MeherpurDuration: 2007-2005Teaching:
Teaching:
Conducted Theory Courses
Introduction to Computer System
Structured Programming Language
Data Structure
Digital Logic Design
HTML and Web Engineering
Conducted Lab Courses
Structured Programming Language Lab
Data Structure Lab
Operating System Lab
Computer Networks Lab
HTML and Web Engineering Lab
Research:
Research:
Research Interest
Bioinformatics and Computational Biology
Machine Learning
Medical Image Analysis
Computer Vision
Signal Processing
Involved Research Groups
Mohammad Ali Moni's Lab
Faculty of Medicine and Health, The University of Sydney, AustraliaImage Processing and Computer Vision
Department of Computer Science and Engineering, Green University of BangladeshImage Processing and Pattern Recognition
Department of Computer Science and Engineering, Pabna University of Science and TechnologyPublications:
Publications:
Journals:
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, SCI, Q1, IF = 14.8).
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 = 7.7).
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).
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 = 8.7).
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, vol. 47, p. 101505, 2024, (Elsevier, Scopus, Q2, CS = 8.7).
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 = 8.7).
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, (Wiley, SCIE, Q2, IF = 2.30).
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, Q2, IF = 2.40).
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, (Wiley, SCIE, Q2, IF = 3.36).
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, (OxfordUniversity Press, SCI, Q1, IF=11.62)
M. H. Rahman, H. K. Rana, S. Peng, X. Hu, C. Chen, J. M. Quinn, and M. A. Moni, “Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression”, Briefings in Bioinformatics, vol. 22, no. 5, pp. 1–23, 2021, (Oxford University Press, SCI, Q1,IF=11.62)
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, Q1, IF=4.58)
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).
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 approach to investigate the genetic profiling and comorbidities of type 2diabetes”, Gene Reports, vol. 21, p. 100830, 2020, (Elsevier, SCI, Q4, IF=1.0)
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, Q4, IF=.60)
M. S. Azam, M. A. Raihan, and H. K. Rana, “An experimental study of various machine learning approaches in heart disease prediction”, International Journal of Computer Applications, vol. 175, no. 21, pp. 16–21,2020, (FCS, RG, IF=3.12)
M. S. Azam, M. Habibullah, and H. K. Rana, “Performance analysis of various machine learning approaches in stroke prediction”, International Journal of Computer Applications, vol. 175, no. 21, pp. 11–15, 2020,(FCS, RG, IF=3.12)
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)
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=2.28).
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=2.28).
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=3.26).
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=3.34).
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.
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.
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.
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.
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:
H. K. Rana and B. Ahmed, "Computational framework for identifying candidate genes in colorectal cancer using TCGA data," in 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE, 2025, pp. 1–5.
S. R. Nath, S. Sultana, D. Mondal, W. Tasnim, and H. K. Rana, "Pathway-centric identification of candidate genes in lung adenocarcinoma using TCGA dataset," in 2025 IEEE 7th International Conference on Sustainable Technologies for Industry 5.0 (STI). IEEE, 2025, pp. 1–5.
H. K. Rana and B. Ahmed, "Identification of candidate genes for colorectal cancer using machine learning and bioinformatics approaches," in 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2025, pp. 1–5.
M. S. Ahmed, M. M. Rahman, R. Chowdhury, W. Tasnim, and H. K. Rana, "High-fidelity virtual try-on systems for online retail using computer vision and deep learning," in 2025 IEEE 7th International Conference on Sustainable Technologies for Industry 5.0 (STI). IEEE, 2025, pp. 1–6.
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.
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.
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.
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.
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.
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.
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.
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.
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.
M. H. Jony, F. T. Johora, P. Khatun, and H. K. Rana, "Detection of lung cancer from CT scan images using GLCM and SVM," in 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT 2019), EWU, Bangladesh. IEEE, 2019, pp. 24–30.
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