International Conference on Nonlinear Analysis and Optimization: Theory and Applications

(ICNAOTA-2027)

Dedicated to the scientific contributions of

Prof. Shashi Kant Mishra

on the occasion of his 60th birthday

Organized by

Department of Mathematics, Institute of Science,

Banaras Hindu University, Varanasi 221005, India

January 25-27, 2027

About the Conference

The International Conference on Nonlinear Analysis and Optimization: Theory and Applications (ICNAOTA-2027) is a premier academic event scheduled to take place from January 25–27, 2027, at the Department of Mathematics, Institute of Science, Banaras Hindu University (BHU), Varanasi, India. Bringing together global mathematical minds in the holy city of Varanasi, this three-day event will serve as a critical nexus for exploring complex systems, modern optimization theory, and their structural applications. The primary objective of ICNAOTA-2027 is to provide an interactive international platform for researchers, academicians, and young scholars to deliberate on recent advancements in nonlinear analysis and optimization. The event bridges profound theoretical mathematical principles with high-utility, real-world applications spanning data science, engineering, and economics.

ICNAOTA-2027 will serve as a premier global forum dedicated to exploring the profound synergy between foundational mathematics and next-generation engineering. In an era defined by rapid technological disruptions, advanced systems cannot rely on linear approximations. Complex, real-world phenomena—ranging from the behavior of deep neural networks to the flow of urban traffic—are inherently nonlinear, requiring sophisticated mathematical models and rigorous optimization frameworks to achieve peak efficiency.

This conference aims to go beyond abstract theory to directly address the structural needs of India's flagship national initiatives. By bringing together leading mathematicians, computer scientists, and engineers, ICNAOTA-2027 will create a vital ecosystem for translating breakthroughs in fixed-point theory, variational analysis, and optimal control into actionable solutions.

The insights generated here will directly power the algorithmic engines of Digital India, optimize the high-value precision manufacturing pipelines of Make in India, and architect the data-driven infrastructure required for Smart Cities. ICNAOTA-2027 will stand as a critical academic catalyst, transforming complex mathematical equations into the foundational pillars of national progress, technological sovereignty, and global innovation.