Instructor:

• Andreas Tovar

Description:

Most plastics are derived from non-renewable fossil fuels, leading to significant pollution and environmental harm. As an alternative, compostable plastics like thermoplastic starch (TPS) have emerged as a potential solution to mitigate plastic pollution. Students working on this project will apply machine learning-driven strategies to discover and optimize TPS formulations. The focus of this work is to develop TPS films with tailored strength and elongation at break.

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