Md Alamgir Kabir (not working at IDT anymore)
Dr. 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 30 scholarly conferences and journal papers in the fields in software engineering and machine learning.
Additionally, Dr. Kabir 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.
He is interested in developing novel techniques to facilitate efficient, explainable, and robust 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 wants to consider fairness and biases when conducting his research. Kabir is accepting Research Collaborations. For updates, please check - https://makabir4.github.io/
Research Issues and Challenges in the Computational Development of Trustworthy AI (Aug 2024) Shahina Begum, Mobyen Uddin Ahmed, Shaibal Barua, Md Alamgir Kabir IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2024)
Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement (May 2024) Md Alamgir Kabir , Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Md Rakibul Islam International Conference on Machine Learning Technologies (ICMLT)
Enhancing Speech Emotion Recognition Using Deep Convolutional Neural Networks (May 2024) M M Manjurul Islam , Md Alamgir Kabir , Alamin Sheikh , Muhammad Saiduzzaman , Abdelakram Hafid, Saad Abdullah International Conference on Machine Learning Technologies (ICMLT)
Deep-IDS: A Real-time Intrusion Detector for IoT Nodes using Deep Learning (May 2024) Sandeepkumar Racherla , PRATHYUSHA SRIPATHI , Nuruzzaman Faruqui , Md Alamgir Kabir Journal of IEEE Access (IEEE-Access)
The effects of class rebalancing techniques on ensemble classifiers on credit card fraud detection: An empirical study (Dec 2023) S.M. Hasan Mahmud , Md Alamgir Kabir
Cross-Version Software Defect Prediction Considering Concept Drift and Chronological Splitting (Oct 2023) Md Alamgir Kabir , Atiq Ur Rehman, M M Manjurul Islam , Nazakat Ali, Marcia L Baptista Symmetry (Symmetry)