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Intelligent Environments Laboratory

The University of Texas at Austin
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  • People
    • Prof. Zoltan Nagy, PhD
    • June Young Park
    • José Ramón Vázquez-Canteli
    • Megan K. McHugh, MSE
    • Ayşegül Demir Dilsiz
    • Hagen Fritz
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November 13, 2019, Filed Under: News

CityLearn Challenge Launched

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 

November 13, 2019, Filed Under: News

Buildsys 2019 — New York

We are presenting a paper, a poster and a demo at this year’s Buildsys in New York. June is presenting a notes paper :  Good to see you again: Capture and recapture method on mobile devices to estimate occupancy profiles Jose is presenting a demo: CityLearn v1.0: an OpenAI Gym Environment for Read more 

October 24, 2019, Filed Under: News

UT Sustainability Symposium

Dr Nagy speaks at UT's 8th Sustainability Symposium. We'll cover all the awesome projects that are going on in our lab in collaboration with campus entities. The full program is available here https://sustainability.utexas.edu/news/symposium.   Read more 

October 15, 2019, Filed Under: News

Open Position for Postdoctoral IoT Wizard

We have an immediate opening for a postdoctoral researcher with focus on Internet of Things (IoT) systems development and deployment. Apply here: https://utaustin.wd1.myworkdayjobs.com/UTstaff/job/UT-MAIN-CAMPUS/Postdoctoral-Fellow_R_00004742 This position is within the The Whole Communities Read more 

October 11, 2019, Filed Under: News

Welcome Alessandra!

We're welcoming Alessandra from the University of Brescia, Italy, as a visiting MSc student to our lab in the fall 2019 semester! She will be working on her MSc thesis involving the simulation of occupant centered control approaches. Read more 

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Research Highlight

Thermal Comfort & Smart Buildings

This is an excerpt from our review paper Comprehensive analysis of the relationship between thermal comfort and building control research - A 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 !

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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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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