Apurbo Roy Chowdhury

Lecturer in Department of Mathematics and Data Science (MDS) at East West University with teaching experience in differential and integral calculus, linear algebra, differential equations, and numerical analysis. Research interests include machine learning, scientific machine learning, climate science, seasonal climate forecasting, and mathematical modeling. Current research focuses on developing data-driven forecasting frameworks using machine learning and physics-informed neural networks to improve seasonal rainfall prediction over South Asia. Interested in interdisciplinary research that integrates applied mathematics, artificial intelligence, and environmental science to address climate-related challenges.

Faculty

Faculty Faculty of Sciences and Engineering

Research Interest

Machine Learning, Climate Science, Seasonal Climate Forecasting, Mathematical Modeling, Economic Modeling.

Teaching Materials

Differential and Integral Calculus ( MAT101 ) Differential Equations and Special Functions ( MAT102 ) Coordinate Geometry and Vector Analysis (MAT104) Linear Algebra and Complex Variables ( MAT205 ) Numerical Analysis I ( MATH317 ) Linear Algebra ( MATH211Lab) Numerical Analysis I ( MATH317Lab ) Numerical Analysis II ( MATH411Lab )

Academic Background

Master of Science (MS) in Applied Mathematics, University of Dhaka (GPA: 3.93/4.00) Bachelor of Science (BS) in Applied Mathematics, University of Dhaka (CGPA: 3.93/4.00, 1st Position)

Awards & Achievements

November 2025: Dean's Honor Award, Awarded by the Faculty of Science, University of Dhaka in recognition of outstanding academic result in B.Sc Examination. June 2023: National Science And Technology (NST) Fellowship , Awarder by the Ministry of Science and Technology. February 2023: Gold Medal , Awarded by the A.F. Mujibur Rahman Foundation for Excellence in Mathematics.

Selected Publications

Journal Article Conference Presentation Roy Chowdhury, A. , Samad, M. A., Hassan, S. M. Q., & Mallik, M. A. K. (2024). Seasonal forecast of monsoon rainfall over Bangladesh using machine learning. The Atmosphere , 10 (January), 1. 1. Rupai, S. S., Saykat, T. H., Kabir, S. S., Ruman, M. A. R., & Chowdhury, A. R. (2025). Robust and transparent IoT anomaly detection via feature selection and explainable machine learning . In Proceedings of the IEEE International Conference on Machine Learning and Applied Network . 2. Chowdhury, A. R. , Islam, S., & Joydhar, B. (2025). Comparative evaluation of ARIMA, LSTM, and XGBoost models for predicting COVID-19 confirmed cases in Bangladesh . In Proceedings of the 1st International Conference on Science and Humanities for Sustainable Development (ICSHSD) . 3. Chowdhury, A. R. (2025). Hybrid modeling of COVID-19 dynamics using machine learning and neural ODEs . Paper presented at the 24th International Mathematics Conference , East West University, Bangladesh. 4. Hossain, M. R., Sumon, M., & Chowdhury, A. R . (2025). Estimating grain moisture content with machine learning for post-harvest management . Paper presented at the 24th International Mathematics Conference , University of Dhaka, Bangladesh.

Professional Experience

Lecturer, Department of Mathematics and Data Science (MDS), East West University, Dhaka, Bangladesh, 2025 – Present.

Affiliation Professional Membership

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