AI & IoT for Sustainability
Smart sensing, edge AI, and decision systems for waste, air quality, and water monitoring.
Learn more →Smart sensing, edge AI, and decision systems for waste, air quality, and water monitoring.
Learn more →Self-healing concretes, acoustics, and resilient, low-carbon infrastructure systems.
Learn more →Microplastics, noise & mental health, and exposure science for community outcomes.
Learn more →Cross-disciplinary workshop on measurement, mitigation, and policy.
Hands-on workshop on IoT + ML pipelines for field deployments.
Lightning talks and demos spanning bio-concretes and circularity.
Makariou, D., Barrieu, P., Chen, Y. (2021). A random forest approach for catastrophe bond spreads. Insurance: Mathematics and Economics.
Adekunle, A. et al. (2023). Predicting Accident Severity using Random Forest. IJCI.
Andrey, J. et al. (2013). Driver adaptation to inclement weather in Canada. Journal of Transport Geography.
Explore assistantships, capstone projects, and industry collaborations.