The Intelligent Environments Laboratory (IEL), led by Prof. Zoltán Nagy, is an interdisciplinary research group in the Department of Civil, Architectural and Environmental Engineering (CAEE) at The University of Texas at Austin.

IEL advances science, engineering and education towards an intelligent and human-responsive energy infrastructure in the built environment. We develop methods in Machine Learning (Supervised, Unsupervised and Reinforcement), Internet of Things, Data Analytics and System Integration/Deployment, with applications in Occupant-Centric Building Design and Operation and Grid-Interactive Smart Communities.

Latest News

Hackaton prize for IEL members
Big congrats to awesome IEL graduate students Kingsley and Praveen for winning Runners-Up prize ($5000) in Technical Demonstration category of the RTEM Hackathon 2022 organized by NYSERDA, OnboardData and others. https://www.
Hackaton prize for IEL members
CfP: RLEM'22
The Call for papers for the third edition of the ACM Workshop on Reinforcement Learning for Energy Management in Buildings and Cities is now published at http://rlem-workshop.net We expand beyond RL to more general AI in buildings, in particular real world demonstrations.
CityLearn Challenge 2022 Launched
PV+Battery storage are the cornerstone of virtual power plants to provide grid flexibility. But what is the optimal charging/discharging policy to reduce costs and emissions from buildings ? And can you transfer knowledge/policies from one building to others?
CityLearn Challenge 2022 Launched
Dr Aysha and Dr Hagen
This week Aysha and and Hagen successfully defended their PhD Thesis: Aysha Demir Dilsiz : “Urban Building Energy Modeling: From Sensitivity to Big Data” and Hagen Fritz: “Development and Application of Consumer-Grade Devices to Gather Ecologically-Valid, Multi-Modal Environmental Data to Characterize Indoor Air Quality and its Effect on Sleep Quality”
Dr Aysha and Dr Hagen
Hagen Fritz invited to PhD Symposium
IEL’s awesome PhD student Hagen Fritz has been selected out of an international pool of applicants as 1 of 15 PhD Symposium Fellows at the Durham School of Architectural Engineering and Construction PhD Symposium.
Hagen Fritz invited to PhD Symposium

Meet the Team

Principal Investigators

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Zoltan Nagy

Assistant Professor

Grad Students

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Aysha Demir

PhD Student

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Hagen Fritz

PhD Student

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Kingsley Nweye

PhD Student

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Ting-Yu Dai

PhD Student

Alumni

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Dr. Jose Vázquez-Canteli

Machine Learning Engineer

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Dr. June Young Park

Assistant Professor

Research Projects