Md. Ahsan Ullah

Md. Ahsan Ullah serves as a lecturer in the Department of Computer Science and Engineering (CSE) at the University of Liberal Arts Bangladesh (ULAB). He earned his B.Sc. in mathematics from Khulna University, Bangladesh. Then he obtained his M.Sc. in Applied Mathematics from the same institution. Before joining ULAB, he served as a full-time lecturer at the Z. H. Sikder University of Science and Technology.

Research interests: mathematics modeling, dynamical systems, machine learning, and deep learning. He is especially fascinated by the potential of mathematical foundations in problem resolution or technological advancements.

Master of Science in Applied Mathematics, Khulna University, Khulna, Bangladesh.

Bachelor of Science (Honors) in Mathematics, Khulna University, Khulna, Bangladesh.

Mathematical Modelling, Applied and Computational Mathematics, Numerical Simulation, Numerical Analysis, Machine Learning, Deep Learning, Data Science, Image Processing, Computer Vision, Pattern Recognition.

Research 

• National Science and Technology (NST) Fellowship 2022-2023 issued by Ministry of Science and Technology, Government of People’s Republic of Bangladesh.

Awards

• ​11^th A F Mujibur Rahman Foundation Gold Medal Awards for Excellence in Mathematics, March 2024.

1. Ullah, M. A., & Mallick, U. K. (2023). Mathematical Modeling and Analysis on the Effects of Surgery and Chemotherapy on Lung Cancer. Journal of Applied Mathematics, 2023 (4), 1-16. https://doi.org/10.1155/2023/4201373
2. Ullah, M. A., Afrin, S. H., Nazib, K. M., Roy, R., & Ali, L. E. (2023). Unravelling Parkinson’s disease Prediction: An Evaluation of Feature Selection Techniques with a Focus on PCA and KNN Performance. Review of Computer Engineering Studies, 10(2), 20-27. https://doi.org/10.18280/rces.100201
3. Ullah, M. A., Kundu, P., Mallick, U. K., & Sarker, B. C. (2022). MATHEMATICAL MODELING AND ANALYSIS ON WHEAT YIELD IN SOUTHWESTERN COASTAL REGION OF BANGLADESH. Khulna University Studies, 2022, 584-596. https://doi.org/10.53808/KUS.2022.ICSTEM4IR.0108-se
4. Reza, D. S., Afrin, S., Ullah, M. A., Kha, S. K., Toma, S. C., Roy, R., & Ali, L. E. (2023). MR Image Feature Analysis for Alzheimer’s disease detection using machine learning approaches. Information Dynamics and Applications, 2(3), 143–152. https://doi.org/10.56578/ida020304

1. Reza, D. A., Ullah, M. A., Mallick, U. K., & Rony, M. A. T. (2021, December). A Machine Learning Approach to Identify Customer Attrition for a Long Time Business Planning. In 2021 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 1-6. https://doi.org/10.1109/eict54103.2021.9733713
2. Rony, M. A. T., Reza, D. A., Mostafa, R., & Ullah, M. A. (2021, September). Application of Machine Learning to Interpret Predictability of Different Models: Approach to Classification for SDSS Sources. In 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), Khulna, Bangladesh, 1-4. https://doi.org/10.1109/icecit54077.2021.9641238