Dr. Laxmipriya Swain

Assistant Professor, Assistant Dean Website • Department of Mathematics

PhD from

National Institute Of Technology ,Arunachalpradesh

Years of Experience

Years

Web Pages

Google Scholar

Contact Details

laxmipriya.swain@sru.edu.in

Availability

Mon-Fri,Block 8

I am Dr. Laxmipriya Swain, currently working as an Assistant Professor in the Department of Mathematics, School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana.

My academic expertise lies in Applied Mathematics, with research interests in Fluid Dynamics, Mathematical Modeling, Heat and Mass Transfer, Magnetohydrodynamics (MHD), and Numerical Analysis. My research focuses on understanding complex fluid flow and thermal transport phenomena using mathematical and computational techniques. I am particularly interested in exploring advanced numerical methods and emerging computational approaches to address challenging problems in science and engineering.

My teaching interests include Engineering Mathematics, Calculus, Differential Equations, Linear Algebra, Numerical Methods, and Applied Mathematics. I strive to create an engaging learning environment that promotes conceptual understanding, critical thinking, and analytical problem-solving. I emphasize connecting mathematical principles with practical applications to enhance students' learning experiences.

I am committed to academic excellence, continuous professional development, and interdisciplinary research. My goal is to contribute to meaningful research, innovative teaching practices, and the overall academic and professional growth of students.

Interests

My teaching interests include Engineering Mathematics Calculus Differential Equations Linear Algebra Numerical Methods Probability and Statistics and Applied Mathematics.

Research Areas

Applied Mathematics Fluid Dynamics and Computational Fluid Mechanics Mathematical Modeling and Numerical Simulation Magnetohydrodynamics (MHD) Heat and Mass Transfer Nanofluid and Hybrid Nanofluid Dynamics Non-Newtonian Fluid Flow Nonlinear Differential Equations Numerical Methods and Computational Techniques Artificial Neural Networks and Machine Learning Applications in Fluid Dynamics

Student Supervision

Ph.D 2 Ongoing

No education information available.

No work experience added.

→ Engineering Mathematics
→ Calculus and Differential Equations
→ Linear Algebra
→ Probability and Statistics
→ Numerical Methods