Our awesome undergraduate researcher Kaitlyn has received the prestigious Legacy Scholarship of our CAEE department. Her research contributes to our CityDNN project modeling urban energy demand using deep neural networks. The scholarship is a testimony to the fantastic research that our Read more 

Student teams participating in the 2020 CAEE Sustainable Dog House Competition must work together to design and build a formidable shelter for dogs. Successful student designs will score top marks in seven categories to be judge by UT faculty, UT staff, and local engineering Read more 

Our very own Phd candidate Jose has jetted around the globe to Adelaide, Australia to teach Reinforcement Learning in The Adelaide Power Systems Summer School 2020. He introduced a hands-on approach and worked from the basics of RL all the way up to applying the latest research in our CityLearn Read more 

We are now opening the period to sign up for the CityLearn Challenge of multi-agent reinforcement learning for intelligent energy management and demand response, which will begin with the release of the first dataset on January 15th and is endorsed by International Building Performance Simulation Read more 

We are super excited to release the CityLearn Challenge today at Buildsys. If you are a researcher working on multi-agent reinforcement learning in the built environment, check it out at www.citylearn.net and sign up for more info. Read more