Welcome to CUB
Md. Awlad Hossain
Lecturer
Department of General Education, Canadian University of Bangladesh
M.Sc. in Applied Mathematics - University of Dhaka
B.Sc. (Honours) in Applied Mathematics - University of Dhaka
Higher Secondary Certificate (HSC) in Science - Govt. Kabi Nazrul College, Dhaka
Secondary School Certificate (SSC) in Science - Shantibag High School, Dhaka
Short Biography
Md. Awlad Hossain is a Lecturer in Mathematics in the Department of General Education at the Canadian University of Bangladesh. He completed his B.Sc. and M.Sc. degrees in Applied Mathematics from the University of Dhaka. His M.Sc. research focused on patient-specific modelling of breast cancer and deep-learning-based inverse estimation of tumour thermophysical properties and was supported by the National Science and Technology (NST) Fellowship 2024–2025.
His research focuses on scientific machine learning, nonlinear dynamical systems, physics-informed learning, neural operators, reinforcement learning, inverse problems, and computational modelling. His research experience includes deep reinforcement operator learning for dynamic control, WRF-based atmospheric modelling, WRF–deep-learning-based lightning prediction in Bangladesh, computational fluid dynamics, environmental modelling, remote sensing, and computer vision.
He has contributed to research on physics-informed neural networks, neural-operator-based control, inverse parameter estimation, and numerical simulation of complex physical systems. His peer-reviewed research has been published in Physica A, PLOS ONE, and Springer conference proceedings.
His research focuses on scientific machine learning, nonlinear dynamical systems, physics-informed learning, neural operators, reinforcement learning, inverse problems, and computational modelling. His research experience includes deep reinforcement operator learning for dynamic control, WRF-based atmospheric modelling, WRF–deep-learning-based lightning prediction in Bangladesh, computational fluid dynamics, environmental modelling, remote sensing, and computer vision.
He has contributed to research on physics-informed neural networks, neural-operator-based control, inverse parameter estimation, and numerical simulation of complex physical systems. His peer-reviewed research has been published in Physica A, PLOS ONE, and Springer conference proceedings.
Research Interest
Scientific Machine Learning, Dynamic Control System, Robotics, Deep Learning and Computer Vision, Computational Fluid Dynamics
Journal Section
- Ahmed, N., Hossain, M. A., Babu, M. A., Fayz-Al-Asad, M., & Ahmmed, M. M. (2026). “A physics-informed piecewise continuity network for solving the non-linear jerk equation: PiPC-Net.” Physica A: Statistical Mechanics and its Applications, 681, 131117. https://doi.org/10.1016/j.physa.2025.131117
- Ahmed, N., Babu, M. A., Hossain, M. S., Fayz-Al-Asad, M., Hossain, M. A., Ahmmed, M. M., Rahman, M. M., & Mahmud, M. (2026). “Reinforcement Operator Learning (ROL): A hybrid DeepONet-guided reinforcement learning framework for stabilizing the Kuramoto-Sivashinsky equation.” PLOS ONE, 21(1), e0341161. https://doi.org/10.1371/journal.pone.0341161
Conference Section
- Hossain, M. A., Ahmed, N., Babu, M. A., Ahmmed, M. M., Rahman, M. M., & Mahmud, M. (2026). “Piecewise Neural Network Model to Obtain Large Interval Solution to the Lorenz System.” In Proceedings of the Sixth International Conference on Trends in Computational and Cognitive Engineering, Lecture Notes in Networks and Systems, Vol. 1588, pp. 277-293. Springer Singapore. https://doi.org/10.1007/978-981-95-1069-6_20
| Sl | Collaboration & Membership Name | Type | Year | Expire Year |
|---|---|---|---|---|
| 1 | National Oceanographic and Maritime Institute (NOAMI) | Research and Resource Member | 2023 | 2024 |
| Sl | Award Title | Award Type | Year | Country |
|---|---|---|---|---|
| 1 | Research Fellowship | National Science and Technology (NST) Fellowship, Ministry of Science and Technology, Government of Bangladesh | 2024–2025 | Bangladesh |
| Sl | Certificate Title | Institution | Year | Country |
|---|---|---|---|---|
| 1 | Numerical Model & Artificial Intelligence for Ocean Science (NMAI4OS) - 1st Training Course | National Oceanographic and Maritime Institute (NOAMI) | 2023 | Bangladesh |
| 2 | Application of GIS and Remote Sensing in Research | Research Society & National Oceanographic and Maritime Institute (NOAMI) | 2023 | Bangladesh |