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About Me
About Me
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
My teaching assignment in Spring 2026 is Linear Algebra 2360-024
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 am also completing my M.S. in Mathematics at Texas Tech University, with expected graduation in Fall 2025.
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