&
Academic trainings
Ph.D., Mech. Engg., Imperial College London, UK.
M.Sc., Mech. Engg., University of Alberta, Canada.
B.Sc. Engg. (Hons.), Mech. Engg., Bangladesh University of Engineering & Technology, Dhaka.
Kwame Agyei-Baah
Kawme is working towards the development of a physics informed CNN framework to capture complex transport phenomena concerning surfactants and thinfilms. He is based at Brunel University London, and is primarily supervised by Dr. Edward Smith. Kawme holds a Bachelor of Engineering in Aerospace, Aeronautical and Astronautical Engineering from Brunel University London.
Recent publication from kWame's work:
An interpretable convolutional neural network framework for fluid dynamics, Machine Learning: Science and Technology (2026).
The investigations currently underway chiefly concern the microscopic mechanism governing contact line dynamics, wetting, thin films and foams.
mrizwanur@iut-dhaka.edu or, muhammadrizwanur@gmail.com
Department of Mechanical and Production Engineering
Islamic University of Technology, Dhaka
G A L L E R Y