Agentic AI for Engineering Design
Team develops and evaluates AI agents that help solve engineering problems by planning tasks, using computational tools, running simulations and refining decisions based on results
Instructor:
Description:
This VIP team develops and evaluates AI agents that help solve engineering problems by planning tasks, using computational tools, running simulations and refining decisions based on results. A major focus is sustainable polymers, including thermoplastic starch (TPS), with projects exploring material formulation, manufacturing, performance and environmental impact. Other applications may include structural and thermal design, battery systems, motorsports and food distribution logistics. Students connect AI models with engineering software, data analysis and optimization methods while gaining experience with Python programming, simulation and engineering research. The team emphasizes verifying results, comparing approaches and maintaining human oversight.
Relevant Technologies:
- Energy Harvesting
- Artificial Intelligence/Machine Learning,
- Embedded Systems
- IoT
- Physical Security
- Access Control
- Electrical Hardware
- Firmware (embedded software)
Pre-requisite knowledge/skills:
- Computer Programming