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Dr. Uday Kiran Nori is an expert in Mathematical Analysis, with research interests spanning microlocal analysis, functional analysis, and algebraic analysis. His work focuses on applying these mathematical frameworks to study the behaviour of differential equations and to analyse medical images. Alongside his full-time teaching responsibilities, he is actively engaged in research and is passionate about nurturing problem-solving skills among students through puzzles, games, and real-life anecdotes.
Dr. Uday completed his Master’s and Doctoral degrees in Mathematics from the Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam. Over the years, he has held several academic leadership positions, including serving as the Head of the Department of Mathematics and Computer Science at the Sri Sathya Sai Institute of Higher Learning.
He currently serves as the Associate Dean (Sciences), where he provides academic leadership while continuing to contribute to teaching, research, and curriculum development.
Areas of Teaching
Functional Analysis, Differential Geometry, Partial Differential Equations, Abstract Algebra with SAGE Programming
Problem Solving Paradigms, Design of Algorithms and Python Programming
Research Interests
His research interest is in the investigation of mathematical objects such as differential equations, polynomials and digital images through functional, symplectic and algebraic methods. Broadly, his research areas include Microlocal Analysis, Algebraic Analysis, Commutative Algebra, Pseudo-Differential Calculus, Symplectic Geometry and Machine Learning.
Current Ph.D. Supervision
Sri Rahul Chanchal (Study of Dynamical Zeta Functions via Microlocal Analysis))
Sri Sathyanarayan Narayan (Gauss Sums and Generating Functions associated with Periodic Sequences)
Sri Udvas Acharjee (Generalizations of Ramanujan Sums and its Applications)
Sri Nagalapalli Pavan Kumar (Partial Differential Equations)
Project Grants
Research Project titled “A Commutative Algebraic Approach to Generating Functions” under DST-SERB MATRICS.

