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Intelligent Environments Laboratory

The University of Texas at Austin
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    • Prof. Zoltan Nagy, PhD
    • June Young Park
    • José Ramón Vázquez-Canteli
    • Megan K. McHugh, MSE
    • Ayşegül Demir Dilsiz
    • Hagen Fritz
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    “Coming together is a beginning. Keeping together is progress. Working together is success. --- Henry Ford Undergraduate Research Assistants Wendy Zhang, CAEE, Read more 

    People
  • Publications

    “ It's always wonderful when you do a piece of work and it withstands the test of time. That's always the ultimate goal of writing a scientific paper or doing any Read more 

    Publications
  • Courses

    “Education is the most powerful weapon which you can use to change the world - Nelson Mandela HVAC Design (ARE346P | CE389H) Fundamentals of design of Read more 

    Courses
  • Research

    “Research is what I'm doing when I don't know what I'm doing. - Wernher von Braun Research in the Intelligent Environments Laboratory focuses on approaches that allow Read more 

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Recent News

Invited Seminar – Smart Living Lab

January 25, 2021

Dr Nagy has been invited by the Thermal Engineering for the Built Environment Laboratory (TEBEL) at EPF Lausanne to present our researches on Read more 

IEL @ ACM BuildSys’20

November 18, 2020

We were well represented at ACM BuildSys this year (http://buildsys.acm.org/2020/). See the presentations on YouTube: Jose kicked us off with a Read more 

1st RLEM Workshop @ BuildSys’20

November 17, 2020

Together with colleagues from Carnegie Mellon University and University of Texas at Arlington, IEL organized the first ACM Workshop on Reinforcement Read more 

Impact of COVID-19 on civil infrastructure and citizen needs in Austin, TX

November 11, 2020

Our research has been presented at UT Austin's COVID research showcase. Watch the video here https://youtu.be/0JlhwvWW2Gs Read more 

More News

Recent Publications

IEL @ ACM BuildSys’20

November 18, 2020

We were well represented at ACM BuildSys this year (http://buildsys.acm.org/2020/). See the presentations on YouTube: Jose kicked us off with a Read more 

The good, the bad, and the ugly: Data-driven load profile discord identification in a large building portfolio

February 27, 2020

Our paper has been accepted in Energy and Buildings. The work is led by our awesome PhD student June, in collaboration with the National Renewable Read more 

Wireless sensor network for estimating building performance

January 7, 2020

Our latest paper, led by colleagues from ETH Zurich,  deals with developing and deploying wireless sensor networks for building energy Read more 

  • A critical review of field implementations of occupant-centric building controls
  • Paper in Nature Energy & Cover
  • Artificial Neural Network‐Based Framework for Developing Ground‐Motion Models for Natural and Induced Earthquakes in Oklahoma, Kansas, and Texas

IEL Gallery

IEL co-organized the first ACM RLEM Workshop @ BuildSys'20
June presenting his research at i3CE at GeorgiaTech 2019
June presenting his poster at i3CE at GeorgiaTech 2019
Jose with the Rosenfeld Poster Presenters, April 2019
Dr Nagy speaks at CMU CEE, April 2019
Annex 79 meeting in San Antonio, TX, 2019
Megan and Sepehr at ExploreUT 2019
Thomas addressing the crowd at Explore UT 2018
Dr Nagy chairing panel discussion: The Future of Building Energy Efficiency: Smart Building or Building Smart? - Feb 2019
June hanging with the IEA Annex 79 crown in Ottawa [find him]
Jose rocking the stage at the 2019 ASHRAE Winter Conference in Atlanta
Megan, Roel and Emmanuel explain their winning design for a Sustainable doghouse to Dr Clayton (r) and Jim Walker (rr)
Megan defends her MS thesis with a presentation at the UT Facilities — Fall 2018
Jose during his award winning talk at CISBAT, Lausanne, 2017
Students are ready to #HookEm
Dean Addington (School of Architecture) at the critiques for our Integrated Design project, Fall 2017
Dr Felkner (School of Architecture) and Dr Gilbert (Chair Dept. CAEE) discuss a successful teaching collaboration.
Dr Nagy, speaking at ASHRAE 2018 in Houston
Thomas talking about Bluetooth for occupancy detection at IBPSA-USA, 2018
Jose and June at the Workshop for Smart Buildings in Ottawa, 2017
June, speaking at IBPC, 2018
Thomas takes 2nd price in the UT undergraduate research competition in 2017!
June, addressing the Annex 79 crowd in Ottawa, 2018
Intelligent Environments Laboratory, Fall 2018
Intelligent Environments Laboratory, Fall 2017
Intelligent Environments Laboratory, Fall 2016

Research Highlight

Reinforcement Learning in the Built Environment

We develop reinforcement learning techniques for energy efficient operation of buildings and systems without the need for mathematical models. Despite Read more 

About Us

The Intelligent Environments Laboratory (IEL), led by Prof. Zoltán Nagy, is an interdisciplinary research group within the Building Energy & Environments (BEE) and Sustainable Systems (SuS) Programs of the Department of Civil, Architectural and Environmental Engineering (CAEE) in the Cockrell School of Engineering of the University of Texas at Austin.

The aim of our research is to rethink the built environment and define Smart Buildings and Cities as spaces that adapt to their occupants and reduce their energy consumption.

We combine data science with building science and apply machine learning to the building and urban scale

Take a look at our projects !

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air handling unit Annex 79 architecture artificial neural network Bluetooth city learn Community engaged research earthquakes environmental monitoring fault detection and diagnostics HVAC integrated design intelligent energy management Lighting Control machine learning Megan McHugh multi-agent systems Occupancy Occupant Centered Control Reinforcement Learning Review Smart Building smart city teaching Thermal Comfort
Tweets by Z0ltanNagy

Research

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UT Energy App – Privacy Policy

Fault detection and diagnostics of air handling units using machine learning and expert rule-sets

Reinforcement Learning in the Built Environment

Reinforcement learning for urban energy systems & demand response

Multi-Agent Reinforcement Learning for demand response & building coordination

IEA-EBC Annex 79: Occupant Centric Design and Operation of Buildings

People

  • Prof. Zoltan Nagy, PhD
  • June Young Park
  • José Ramón Vázquez-Canteli
  • Megan K. McHugh, MSE

Tags

air handling unit Annex 79 architecture artificial neural network Bluetooth city learn Community engaged research earthquakes environmental monitoring fault detection and diagnostics HVAC integrated design intelligent energy management Lighting Control machine learning Megan McHugh multi-agent systems Occupancy Occupant Centered Control Reinforcement Learning Review Smart Building smart city teaching Thermal Comfort
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301 E Dean Keeton St
Austin, TX 78712
512-555-5555
nagy@utexas.edu

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