Greetings and welcome!

I am Niloy Deb (/ˈniː.loɪ dɛb/), a lecturer in the Department of Petroleum and Mineral Resources Engineering (PMRE) at Bangladesh University of Engineering and Technology (BUET), Dhaka. Before that, I was a research assistant in the Computational Fluid Dynamics and Heat Transfer (CFDHT) Research Group, led by Dr. Sumon Saha (Professor, Department of Mechanical Engineering, BUET). I completed my B.Sc. in Mechanical Engineering and M.Sc. in Petroleum Engineering from BUET and am a prospective doctoral student for Fall 2027.

My research interests include chaotic dynamical (fluid) systems, physics of convection, and turbulence. Many of my completed or ongoing research projects are related to CFD-based fluid system control, fluid flow through porous and subsurface media, and fluid behavior in multiphysics environments (constraints). My current focus is on integrating numerical analysis and high-fidelity (multiscale) computational fluid dynamics (CFD) with data-driven and differentiable physics methods to improve predictive accuracy, computational efficiency, and understanding of engineering systems. Much of this is done with applied mathematics, such as modal decomposition and model reduction in subspaces. It also requires scientific machine learning (SciML) for modeling and prediction, and adjoint methods, Bayesian statistics, and gradient-based or metaheuristic algorithms for optimizing complex nonlinear phenomena. Above all, it entails combining statistical inference and machine learning with physics-based modeling.