Dr. Md Alamgir Kabir is an Assistant Professor at Daffodil International University, leading cutting-edge research in artificial intelligence and machine learning. With over 50+ publications in top-tier conferences and journals, Dr. Kabir has established himself as a prominent researcher in the field of AI reasoning systems.
His research focuses on developing interpretable and trustworthy AI systems that can reason, learn, and make decisions in complex environments. Dr. Kabir's work spans multiple domains including machine learning, deep learning, computer vision, and natural language processing.
Dr. Kabir leads the Kabir's Research Group, mentoring students and researchers in various AI disciplines. His collaborative approach has resulted in successful partnerships with international institutions and industry leaders.
Current research interests include:
Dr. Kabir is committed to advancing the field of AI while ensuring ethical and responsible development of intelligent systems.
Title | Authors | Venue / Year | Type | DOI |
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GAN Based data augmentation for rolling bearings fault diagnosis and prognosis | Md. Sulyman Islam Sifat, Md Alamgir Kabir, M. M. Manjurul Islam, Atiq Ur Rehman, Amine Bermak | IEEE Access 2025 | journal | View |
LEU3: An Attention Augmented-Based Model for Acute Lymphoblastic Leukemia Classification | Monoronjon Dutta, Mayen Uddin Mojumdar, Md Alamgir Kabir, Narayan Ranjan Chakraborty, Shah Md Tanvir Siddiquee; Saad Abdullah | IEEE Access 2023 | journal | View |
Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement |
Md Alamgir Kabir, Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Md Rakibul Islam |
ICMLT '24: Proceedings of the 2024 9th International Conference on Machine Learning Technologies 2023 |
conference |
View |