Lahore: The Department of Mathematics highlighted advancements in image security and numerical solutions during a session titled "Securing Images with Cryptography: A Mathematical Perspective" and "Numerical Solutions of Differential Equations Using PINNs." The session was led by Dr. Muhammad Tanveer Hussain, Imrana Shafique, and Dr. Muhammad Naeem Aslam, who discussed the role of mathematical structures in modern cryptographic methods and the impact of physics-informed neural networks (PINNs) on solving differential equations.

According to University of Central Punjab, the session delved into how cryptographic methods protect image data through robust mathematical frameworks. This approach not only enhances security but also ensures the integrity and confidentiality of digital images. Additionally, the application of PINNs was explored, illustrating how these networks are revolutionizing the numerical solutions of differential equations, offering more efficient and accurate results. The session aimed to provide insights into the burgeoning intersection of mathematics, cryptography, and computational methods, reflecting the evolving landscape of these disciplines.