About Me

Hi, I am Priom Das. I am currently working as a Lecturer at the Department of Mechanical Engineering at the Bangladesh University of Engineering and Technology (BUET), the most prestigious engineering university in Bangladesh.  I have earned both my Bachelor’s (B.Sc.) and Master’s degrees (M.Sc.)  in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET). 

In my postgraduate thesis, I investigated phonon thermal conduction in 2D Sn/hBN van der Waals heterostructures using atomistic simulations under the supervision of Prof. AKM Monjur Morshed and collaboration with Titan C. Paul, Department of Mathematical Science, University of South Carolina Aiken. My research reports both in-plane thermal conductivity and interfacial thermal resistance under various internal and external influences. During my undergraduate studies, I conducted Molecular Dynamics (MD) simulations to explore how wall wettability and nanogap thickness affect the molar heat capacity of nanoconfined liquid argon, under the supervision of Prof. AKM Monjur Morshed, ME, BUET. This research led to two publications in highly reputed journals: the Journal of Molecular Liquids (IF: 5.3) and Computational Materials Science (IF: 3.1). My postgraduate work has resulted in two more publications: one in IOP Nanotechnology (IF: 3.5) and another in Computational Materials Science (IF: 3.1).

I have collaborated with Dr. Titan C. Paul from the University of South Carolina Aiken on various research endeavors. My research interests focus on the energy transport of nanomaterials and the implementation of deep neural networks in material science. I have participated in numerous research projects related to Molecular Dynamics (MD), Finite Element Method (FEM), and deep learning. I am committed to continuously learning new ideas, computational methods, software, and programming languages to become a better researcher and maintain a competitive edge. As an aspiring computational material scientist, I believe that the future of material science lies in the integration of computational material design with deep learning techniques. 

My Curriculum Vitae (CV)

Recent 

Hurrah! I have given my M.Sc. thesis defense 29th September 2024 with flying colors !

My Paper "Interfacial thermal resistance in stanene/hexagonal boron nitride (Sn/h-BN) van der Waals heterostructures: A molecular dynamics study " was Published in Computational Material Science (IF: 3.1) on (5 September 2024)!!

 My Paper " Phonon transport in vacancy induced defective stanene/hBN van der Waals heterostructure" was Published in IOP Nanotechnology (IF: 3.5) on (5 August 2024)!!

My other Paper "Thermal Properties of Liquid entrapped between hybrid wettability surface" was Published in Computational Materials Science (IF: 3.1) on (29 July 2024)!!