Research on dynamic building integrated photovoltaics led by our collaborators at ETH Zurich, Switzerland, has been published in Automation in Construction. Check it out! P. Jayathissa, S. Caranovic, J. Hofer, Z. Nagy, and A. Schlueter, “Performative design environment for kinetic photovoltaic architecture,” Autom. Constr., vol. 93, no. May, pp. 339–347,… read more
News
Presentation at the ASCE—GEESD
Our paper on predicting ground motions using neural network based equations has been presented at the ASCE GEESD conference in June in Austin, TX. Abstract Parts of Texas, Oklahoma, and Kansas have experienced increased rates of seismicity in recent years, providing new datasets of earthquake recordings to develop ground motion… read more
Machine Learning in Science and Engineering
Our PhD student Jose speaks at the Machine Learning for Science and Engineering Symposium in Pittsburgh (June 6-8, 2018) during the Civil Engineering track. He’s talk is entitled Deep Reinforcement Learning for Urban Energy Management and introduces his research in CityLearn: Abstract: The building sector is one of the largest consumers of… read more