Upcoming Model Competitions in College Fests, Events in June 2026.

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.

• Automotive system overview and introduction
to MBD.
• MATLAB, Simulink, State flow, Embedded
Coder, and NXP MBDT basics.
• Simulation hierarchy: MiL, SiL, PiL.
• Toolchain setup and I/O configuration for
S32K144.
• Hands-on Modelling and implementation of the
Side Stand Indicator/ adaptive headlight
subsystem.
• Code generation, deployment, and verification
on hardware.
• Overview of future directions: SDV, EV
control, and functional safety

Paper presentation
Poster presentation
Model presentation
DWSIM competition