Dr. Md Alamgir Kabir is a postdoctoral research fellow in the Artificial Intelligence and Intelligent Systems group at Malardalen University, Sweden. Previously, he was an Assistant Professor in the Department of Computer Science at American International University-Bangladesh (AIUB). He received the Ph.D. degree from the City University of Hong Kong and a Master's degree in Software Engineering from Wuhan University, China
His research interests include software engineering, machine learning, and software analytics. He has published more than 25 scholarly conferences and journal papers in the fields in software engineering and machine learning.
Additionally, Dr. Alamgir 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.
Since I am still exploring, my interests are nascent. Currently, I am inquisitive about developing novel techniques to facilitate efficient, explainable, and robust AI. I also want to keep fairness and biases in mind when conducting my research.
My mission is to help the community with actionable high-quality research and secure AI systems for the social good. If you share the same value, please reach out for collaborations. For updates, please check - https://makabir4.github.io/
Software Risk Prediction: Systematic Literature Review on Machine Learning Techniques (Nov 2022) Mahmudul Hoque Mahmud , Md Tanzirul Haque Nayan , Dewan Md Nur Anjum Ashir , Md Alamgir Kabir Applied Sciences (ApplSci)
Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization (Aug 2022) Md Alamgir Kabir, M M Manjurul Islam , S.M. Hasan Mahmud , Md Fazla Elahe
Inter-release defect prediction with feature selection using temporal chunk-based learning : An empirical study (Sep 2021) Md Alamgir Kabir, Jacky Keung , Burak Turhan , Kwabena Ebo Bennin Applied Soft Computing (ASC)
AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features (Jul 2021) Zhen Yang , Jacky Keung , Md Alamgir Kabir, Xiao Yu , Yutian Tang , Miao Zhang , Shuo Feng Applied Soft Computing (ASC)
COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction (Sep 2020) Shuo Feng , Jacky Keung , Xiao Yu , Yan Xiao , Kwabena Ebo Bennin , Md Alamgir Kabir, Miao Zhang Information and Software Technology (IST)