Greetings and welcome to my webpage. I am Satyajit Mojumder, an incoming assistant professor in School of Mechanical and Materials Engineering at Washington State University, Pullman, WA, starting in Fall 2024. I completed my PhD in the Theoretical and Applied Mechanics Program at Northwestern University, Evanston, USA, in June 2024. I hold bachelor’s and master’s degrees in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET) in Dhaka, Bangladesh. Before joining Northwestern, I served as a lecturer and was later promoted to the position of assistant professor in the BUET Mechanical Engineering Department.

My research focuses on understanding the nexus of mechanics, materials, and manufacturing through the development of advanced computational methods. Specifically, I am interested in solving large-scale, multiphysics problems that are prevalent in advanced manufacturing and materials systems leveraging mechanistic reduced-order models and AI-based algortihms.

I am originally from a small town, Magura, located in southern part of Bangladesh. I grew up surrounded by nature and a beautiful river named Nabaganga just a few steps from my home. I have a passion for teaching and mentoring, and in my free time, I enjoy visiting tranquil places.

To learn more about me and my research, please explore the other pages on my website.

Recent News

• Satyajit Mojumder has recived the innagural graduate mentorship award from Northwestern University. Thanks to department of Mechanical Enginnering at Northwestern for recognizing my mentoring activities.

• Our work on “Statistical parameterized physics-based machine learning digital shadow models for laser powder bed fusion process” is now available online in Additive Manufacturing. Read more

• Our work on “Extended tensor decomposition model reduction methods: Training, prediction, and design under uncertainty” is now avaialble online in Computer Methods in Applied Mechanics and Engineering. Read more

• Our work on “Accelerated and Interpretable Prediction of Local Properties in Composites” has been accepted in APL Machine Learning. Read more

• Exciting news! Our research paper “Isogeometric Convolution Hierarchical Deep-learning Neural Network” is now published in Computer Methods in Applied Mechanics and Engineering. Explore this groundbreaking work! Read more