Department of Computer Science and Engineering
Dr. Md Alamgir Kabir  Assistant Professor & Coordinator, MIS
Name :
Dr. Md Alamgir Kabir
Designation
Assistant Professor & Coordinator, MIS  
Department
Department of Computer Science and Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/cse/alamgirkabir.html
E-mail
kabir.cse@diu.edu.bd
Phone
+8809617901233
Cell-Phone
+88 01723034458
  • MEng in Software Engineering, Wuhan University, Wuhan, China
  • BSc in Software Engineering, Daffodil International University, Dhaka, Bangladesh, Gold Medalist

More than 10 years of experience in teaching, development, and research at IT sector in Sweden, Hong Kong, China, and Bangladesh

Computer Science and Software Engineering

Publications in Journal: SJR Q1x13, Corresponding author x 16, i-10 index = 22

SN 2026
[J22] Sifat, M. S. I., Sawda, U., Kabir, M. A., Ahmed, M. U., Lipu, M. H., & Islam, M. M. (2026). Generative data augmentation for improving state estimation and prognostics in lithium-ion batteries: Advances, Challenges, and Future directions. Journal of Energy Storage, 153, 121006.(Corresponding Author, CiteScore 2024: 13.3, IF: 9.8, SJR Q1) 
[J21] Ahmmed, J., Ahmed, F., Kabir, M. A., Ali, N., ur Rehman, A., & Bermak, A. (2026). HPrEd: A Tuned Ensemble with Model-Agnostic XAI to Explain Social Media’s Association with Academic Productivity. IEEE Access.(Corresponding Author, CiteScore 2024: 9.0, IF: 3.6, SJR Q1) 
[J20] Ahmmed, J., Kabir, M. A., Rehman, A. U., & Bermak, A. (2026). A lightweight hybrid CNN and transformer model for medicinal leaf disease classification with explainable AI. Scientific Reports.(Corresponding Author, CiteScore 2024: 6.7, IF: 3.9, SJR Q1) 
[J19] Nirob, M. A. S., Paul, S. G., Saha, A., Assaduzzaman, M., Kabir, M. A., Mahmud, A., ... & Bermak, A. (2026). EDDNet30: A Spatial Attention and Multi-Scale Fusion Model for Enhanced Eye Disease Classification with Explainable AI. IEEE Access.(Corresponding Author, CiteScore 2024: 9.0, IF: 3.6, SJR Q1) 
  2025
[J18] Ahmmed, J., Ahmed, F., Kabir, M. A., Ahad, M. T., Jadoon, M. A., Rehman, A. U., & Bermak, A. (2025). LBNet: an optimized lightweight CNN for mammographic breast cancer classification with XAI-based interpretability. Scientific Reports.(Corresponding Author, CiteScore 2024: 6.7, IF: 3.9, SJR Q1) 
[J17] Sifat, M. S. I., Kabir, M. A., Islam, M. M., Rehman, A. U., & Bermak, A. (2025). GAN-based data augmentation for fault diagnosis and prognosis of rolling bearings: a literature review. IEEE Access.(Corresponding Author, CiteScore 2024: 9.0, IF: 3.6, SJR Q1) 
[J16] Dutta, M., Mojumdar, M. U., Kabir, M. A., Chakraborty, N. R., Siddiquee, S. M. T., & Abdullah, S. (2025). LEU3: an attention Augmented-based model for acute lymphoblastic leukemia classification. IEEE Access.(CiteScore 2024: 9.0, IF: 3.6, SJR Q1) 
  2024
[J15] Racherla, S., Sripathi, P., Faruqui, N., Kabir, M. A., Whaiduzzaman, M., & Shah, S. A. (2024). Deep-IDS: a real-time intrusion detector for IoT nodes using deep learning. IEEE Access, 12, 63584-63597.(Corresponding Author, CiteScore 2024: 9.0, IF: 3.6, SJR Q1) 
  2023
[J14] Kabir, M. A., Rehman, A. U., Islam, M. M., Ali, N., & Baptista, M. L. (2023). Cross-version software defect prediction considering concept drift and chronological splitting. Symmetry, 15(10), 1934.(Corresponding Author, CiteScore 2024: 5.3, IF: 2.2, SJR Q2) 
[J13] Faruqui, N., Kabir, M. A., Yousuf, M. A., Whaiduzzaman, M., Barros, A., & Mahmud, I. (2023). Trackez: an iot-based 3d-object tracking from 2d pixel matrix using mez and fsl algorithm. IEEE Access, 11, 61453-61467.(Corresponding Author, CiteScore 2024: 9.0, IF: 3.6, SJR Q1) 
[J12] Ur Rehman, A., Belhaouari, S. B., Kabir, M. A., & Khan, A. (2023). On the use of deep learning for video classification. Applied Sciences, 13(3), 2007.(CiteScore 2024: 5.5, IF: 2.5, SJR Q2) 
  2022
[J11] Elahe, M. F., Kabir, M. A., Mahmud, S. H., & Azim, R. (2022). Factors impacting short-term load forecasting of charging station to electric vehicle. Electronics, 12(1), 55.(Corresponding Author, CiteScore 2024: 6.1, IF: 2.6, SJR Q2) 
[J10] Kabir, M. A., Begum, S., Ahmed, M. U., & Rehman, A. U. (2022). Code: A moving-window-based framework for detecting concept drift in software defect prediction. Symmetry, 14(12), 2508.(Corresponding Author, CiteScore 2024: 5.3, IF: 2.2, SJR Q2) 
[J09] Mahmud, M. H., Nayan, M. T. H., Ashir, D. M. N. A., & Kabir, M. A. (2022). Software risk prediction: systematic literature review on machine learning techniques. Applied Sciences, 12(22), 11694.(Corresponding Author, CiteScore 2024: 5.5, IF: 2.5, SJR Q2) 
  2021
[J08] Kabir, M. A., Keung, J., Turhan, B., & Bennin, K. E. (2021). Inter-release defect prediction with feature selection using temporal chunk-based learning: An empirical study. Applied Soft Computing, 113, 107870.(Corresponding Author, CiteScore 2024: 14.5, IF: 6.6, SJR Q1) 
[J07] Yang, Z., Keung, J., Kabir, M. A., Yu, X., Tang, Y., Zhang, M., & Feng, S. (2021). Acomnn: Attention enhanced compound neural network for financial time-series forecasting with cross-regional features. Applied Soft Computing, 111, 107649.(CiteScore 2024: 14.5, IF: 6.6, SJR Q1) 
[J06] Zhang, M., Keung, J. W., Xiao, Y., & Kabir, M. A. (2021). Evaluating the effects of similar-class combination on class integration test order generation. Information and Software Technology, 129, 106438.(CiteScore 2024: 10.8, IF: 4.3, SJR Q1) 
[J05] Feng, S., Keung, J., Yu, X., Xiao, Y., Bennin, K. E., Kabir, M. A., & Zhang, M. (2021). COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction. Information and Software Technology, 129, 106432.(CiteScore 2024: 10.8, IF: 4.3, SJR Q1) 
  Others
[J04] Kabir, M. A., & Han, B. (2016). An improved usability evaluation model for point-of-sale systems. International Journal of Smart Home, 10(7), 269-282.(Corresponding Author, CiteScore 2015: 0.9) 
[J03] Kabir, M. A., Rahman, M. M., & Jabiullah, M. I. (2013) Model for Identifying the Security of a System: A Case Study of Point Of Sale System.(Corresponding Author) 
[J02] Kabir, M. A., & Rahman, M. (2014). A survey on security requirements elicitation and presentation in requirements engineering phase. Am. J. Eng. Res, 2(12), 360-366.(Corresponding Author) 
[J01] Khan, S. I., Kabir, M. A., Rahman, A., Jabiullah, M. I., & Rahman, M. L. (2012). Strong Message Authentication and Confidentiality Checking Approach through Authentication Code Tied to Ciphertext. 

 

 

Publications in Conference:

SN  
01 Khan, A. R., Mahi, M. H., Mojumdar, M. U., Chakraborty, N. R., Kabir, M. A., & Boruah, A. N. (2025, April). Transformer-Based Model for Identifying Ethnic Languages in Bangladesh. In 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1-6). IEEE.
02 Alamgir Kabir, M., Islam, M. M., Chakraborty, N. R., & Noori, S. R. H. (2025). Trustworthy artificial intelligence for industrial operations and manufacturing: Principles and challenges. In Artificial Intelligence for Smart Manufacturing and Industry X. 0 (pp. 179-197). Cham: Springer Nature Switzerland.
03 Shakil, A. H., Orin, M. A., Rahman, M., & Kabir, M. A. (2024, December). AttNet: An Attention-Based BiGRU Network for Remaining Useful Life Prediction. In 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI) (pp. 1-6). IEEE.
04 Begum, S., Ahmed, M. U., Barua, S., Kabir, M. A., & Masud, A. N. (2024, August). Research issues and challenges in the computational development of trustworthy AI. In 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 300-305). IEEE.
05 Islam, M. M., Kabir, M. A., Sheikh, A., Saiduzzaman, M., Hafid, A., & Abdullah, S. (2024, May). Enhancing speech emotion recognition using deep convolutional neural networks. In Proceedings of the 2024 9th International Conference on Machine Learning Technologies (pp. 95-100).
06 Kabir, M. A., Ahmed, M. U., Begum, S., Barua, S., & Islam, M. R. (2024, May). Balancing fairness: Unveiling the potential of smote-driven oversampling in ai model enhancement. In Proceedings of the 2024 9th International Conference on Machine Learning Technologies (pp. 21-29).
07 Kaushik, M. M., Mahmud, S. H., Kabir, M. A., & Nandi, D. (2023, December). The effects of class rebalancing techniques on ensemble classifiers on credit card fraud detection: An empirical study. In AIP Conference Proceedings (Vol. 2916, No. 1, p. 030011). AIP Publishing LLC.
08 ur Rehman, A., Kabir, M. A., Ijaz, M., Al-Mohsin, H. M., & Bermak, A. (2023, May). Salp swarm algorithm for drift compensation in E-nose. In 2023 15th International Conference on Advanced Computational Intelligence (ICACI) (pp. 1-6). IEEE.
09 Shakhawat, H., Hossain, S., Kabir, A., Mahmud, S. H., Islam, M. M., & Tariq, F. (2023). Review of artifact detection methods for automated analysis and diagnosis in digital pathology. In Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare (pp. 177-202). CRC Press.
10 Kabir, M. A., Islam, M. M., Mahmud, S. H., & Elahe, M. F. (2022, March). Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization. In Proceedings of the 2nd International Conference on Computing Advancements (pp. 59-66).
11 Kabir, M. A., Keung, J. W., Bennin, K. E., & Zhang, M. (2020, July). A drift propensity detection technique to improve the performance for cross-version software defect prediction. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 882-891). IEEE.
12 Sohan, M. F., Kabir, M. A., Rahman, M., Hasan Mahmud, S. M., & Bhuiyan, T. (2020, February). Training Data Selection Using Ensemble Dataset Approach for Software Defect Prediction. In International Conference on Cyber Security and Computer Science (pp. 243-256). Cham: Springer International Publishing.
13 Sohan, M. F., Kabir, M. A., Rahman, M., Bhuiyan, T., Jabiullah, M. I., & Felix, E. A. (2020, February). Prevalence of machine learning techniques in software defect prediction. In International Conference on Cyber Security and Computer Science (pp. 257-269). Cham: Springer International Publishing.
14 Zhang, M., Keung, J., Xiao, Y., Kabir, M. A., & Feng, S. (2019, July). A heuristic approach to break cycles for the class integration test order generation. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) (Vol. 1, pp. 47-52). IEEE.
15 Kabir, M. A., Keung, J. W., Bennin, K. E., & Zhang, M. (2019, July). Assessing the significant impact of concept drift in software defect prediction. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) (Vol. 1, pp. 53-58). IEEE.
16 Sohan, M. F., Kabir, M. A., Jabiullah, M. I., & Rahman, S. S. M. M. (2019, February). Revisiting the class imbalance issue in software defect prediction. In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
17 Kabir, M. A., Hossin, M. A., Mahmud, S. H., Noori, S. R. H., & Bhuiyan, T. (2018, December). Usability evaluation of mobile applications: An empirical analysis of supply chain management systems. In 2018 IEEE 4th International Conference on Computer and Communications (ICCC) (pp. 2525-2531). IEEE.
18 Kabir, M. A., Salem, O. A., & Rehman, M. U. (2017, November). Discovering knowledge from mobile application users for usability improvement: A fuzzy association rule mining approach. In 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) (pp. 126-129). IEEE.
19 Mahmud, S. H., Kabir, M. A., Salem, O. A., & Fernand, K. N. G. (2016, December). The comparative analysis of online shopping information platform's security based on customer satisfaction. In 2016 5th International Conference on Computer Science and Network Technology (ICCSNT) (pp. 157-161). IEEE.
20 Kabir, M. A., Rehman, M. U., & Majumdar, S. I. (2016, August). An analytical and comparative study of software usability quality factors. In 2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) (pp. 800-803). IEEE.
21 Alam, D., Kabir, M. A., Bhuiyan, T., & Farah, T. (2015, October). A case study of sql injection vulnerabilities assessment of. bd domain web applications. In 2015 Fourth international conference on cyber security, cyber warfare, and digital forensic (CyberSec) (pp. 73-77). IEEE.
22 Alam, D., Bhuiyan, T., Kabir, M. A., & Farah, T. (2015, November). SQLi vulnerabilty in education sector websites of Bangladesh. In 2015 Second International Conference on Information Security and Cyber Forensics (InfoSec) (pp. 152-157). IEEE.
23 Farah, T., Alam, D., Ali, M. N. B., & Kabir, M. A. (2015, December). Investigation of Bangladesh region based web applications: A case study of 64 based, local, and global SQLi vulnerability. In 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) (pp. 177-180). IEEE.
24 Alam, D., Bhuiyan, T., Kabir, M. A., & Farah, T. (2015, November). SQLi vulnerabilty in education sector websites of Bangladesh. In 2015 Second International Conference on Information Security and Cyber Forensics (InfoSec) (pp. 152-157). IEEE.
25 Alam, D., Kabir, M. A., Bhuiyan, T., & Farah, T. (2015, October). A case study of sql injection vulnerabilities assessment of. bd domain web applications. In 2015 Fourth international conference on cyber security, cyber warfare, and digital forensic (CyberSec) (pp. 73-77). IEEE.
26 Farah, T., Alam, D., Kabir, M. A., & Bhuiyan, T. (2015, October). SQLi penetration testing of financial Web applications: Investigation of Bangladesh region. In 2015 World Congress on Internet Security (WorldCIS) (pp. 146-151). IEEE.
27 Alam, D., Farah, T., & Kabir, M. A. (2015, October). Exploring the SQL injection vulnerabilities of. bd domain web applications. In 3rd International Conference on Advances in Computing, Electronics and Communication (ACEC 2015) (pp. 10-11).
28 Sagar, M. A. K., Rahman, M. M., & Jabiullah, M. I. Model for Identifying the Security of a System: A Case Study of Point Of Sale System.

 

  • His research conceives on developing intelligent systems based on machine learning in different domains. Recently, he adapted algorithms and techniques to develop safe, secure, and robust AI systems for enhancing trustworthiness of AI systems including AI fairness, XAI, and generative AI. 
  • He previously crafted innovative methods and remedies for (1) Concept drift issues in software defects for the development of reliable models, (2) Class imbalance issues in software defect prediction, and (3) Oversampling techniques to alleviate class imbalance issues. He also enhances the state-of-the-art ML methods. 
  • Additionally, Dr. Kabir became involved with various research communities at home and abroad by serving as a member in the organizing committee, technical committee, technical co-chair, and reviewer in high-impact peer-reviewed journals. 
  • His mission is to help the community towards engineering high-quality and secure software systems for social good. If you share the same value, please reach out for collaborations.

 

  • Performance Award in Teaching Students : First Steps (SG8001) course in Semester B, 2018-19 at City University of Hong Kong
  • Hong Kong Government PhD Scholarship at City University of Hong Kong
  • Best paper award in the IEEE conference ICCSNT 2016.
  • Chinese Government Scholarship for master’s degree Study at Wuhan University, China (Sep 2015 – Aug 2017)
  • Received Vice Chancellor Gold Medal for highest CGPA among students of all departments at Daffodil International University, Bangladesh (2014)
  • Merit Scholarship in bachelor’s degree Study at Daffodil International University, Bangladesh (Jan 2010 – Dec 2013
  • IEEE
  • [Sep’2022-June’2024] Postdoctoral Research Fellow - Machine Learning, Department of Innovation, Design and Engineering, Mälardalen University, Sweden.
  • [Sep’2021-Aug’2022] Assistant Professor, Department of Computer Science, American International University-Bangladesh.
  • [Sep’2018-Aug’2021] Researcher, Department of Computer Science, City University of Hong Kong, Hong Kong.
  • [Sep’2017-Aug’2018] Senior Lecturer, Department of Software Engineering, Daffodil International University, Bangladesh.
  • [Sep’2015-Aug’2017] Research Assistant, International School of Software, Wuhan University, China.
  • [Apr’2014-Aug’2015] Lecturer, Department of Software Engineering, Daffodil International University, Bangladesh