I am Shujit Kumar Bala, a graduate student in the Department of Mathematics and Statistics at Texas Tech University, specializing in computational and applied mathematics. My previous research focused on numerical simulations for analyzing heat-transfer characteristics in complex geometric flows. I have worked extensively with finite difference methods to investigate both forced and natural convection, and I have used several well-known mathematical transformations to convert complex domains into simpler ones in order to reduce computational cost.
Currently, I am expanding my research toward computational methods for solving inverse problems in PDEs, where the aim is to recover unknown parameters or structures from indirect observations. I am also exploring the integration of machine learning techniques with traditional numerical algorithms to enhance efficiency, accuracy, and data-driven modeling capabilities. My computational work heavily involves Python and MATLAB, and I enjoy designing algorithms that bridge mathematical theory with real engineering applications. I am motivated by the challenge of developing robust numerical tools that can address complex scientific and industrial problems.
I welcome collaboration with researchers who are interested in these topics and enjoy working at the intersection of mathematics, computation, and engineering.
Recent Activities
I was awarded the Thomas McLaughlin Graduate Endowment Math Scholarship for the 2026–2027 academic year at Texas Tech University.
My teaching assignment in Summer 2026 is Linear Algebra 2360-D01
I have started working on my PhD thesis under supervision of Dr. Anh Khoa Vo
Short Biography
I was born in Bangladesh, where I completed my Bachelor’s degree in Mathematics at the University of Dhaka in 2016. In 2017, I obtained my M.S. degree in Applied Mathematics from the same university. I was very fortunate to have Dr. Litan Kumar Saha as my Master’s thesis supervisor. My M.S. thesis focused on applying the Lattice Boltzmann Method (LBM) to simulate convective flow in a channel.
In 2018, I joined the University of Barishal in Bangladesh as a Lecturer of Mathematics. I was grateful to work in a very supportive teaching environment with friendly colleagues. During my time there, I mentored several undergraduate and graduate students on mathematical and computational projects. Alongside teaching, I continued my research collaborations with Dr. Litan Kumar Saha, particularly in numerical simulations and heat-transfer modeling. In 2024, I was promoted to Assistant Professor.
In Fall 2024, I came to the United States to join the Department of Mathematics and Statistics at Texas Tech University to pursue my Ph.D. I am currently working under the supervision of Dr. Anh Khoa Vo on computational methods for solving inverse problems involving partial differential equations (PDEs). I completed my M.S. in Mathematics at Texas Tech University in Fall 2025 (December 12).