About Event

Artificial Intelligence is transforming modern engineering by enabling intelligent systems that can learn, adapt, and make data-driven decisions. However, the success of AI technologies is deeply rooted in strong mathematical principles. This session explores the essential mathematical foundations that power AI-driven engineering solutions, including linear algebra, calculus, probability and statistics, optimization techniques, differential equations, and numerical methods.

Participants will gain insights into how these mathematical concepts are applied in machine learning, deep learning, signal processing, control systems, power systems, robotics, communication networks, and other engineering domains. The program emphasizes the connection between theoretical mathematics and practical AI applications, helping engineers develop a deeper understanding of model development, training algorithms, data analysis, and intelligent decision-making systems.