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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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Megan K. McHugh, MSE

Megan McHugh is a PhD student in the Department of Civil, Architectural and Environmental Engineering (CAEE) studying Sustainable Systems at The University of Texas at Austin, and she works as a Data Scientist at Siemens Smart Infrastructure on the Autonomous Building Intelligence team. Her research interests are in managing energy efficiency and sustainability in the built environment, fault detection and diagnostics, preventative maintenance, digital twins, machine learning, industrial automation, autonomous/smart building technologies, and HVAC systems.

Megan completed her MSE in Sustainable Systems from the University of Texas at Austin in December 2018 and during that time was an energy engineering intern with UT Facilities Services and working on topics including building energy consumption/reduction calculations, data analysis, and building automation systems. She was also a Teaching Assistant in the Cockrell School of Engineering for classes in HVAC Design and Building Environmental Systems, and is currently member of Dr. Zoltan Nagy’s Intelligent Environments Laboratory. Her Master’s thesis was on fault detection and diagnostics for HVAC systems.

Prior to attending UT Austin, Megan received her B.S. in Sustainable Built Environments from the College of Architecture, Planning and Landscape Architecture at The University of Arizona in May 2017. She worked with Dr. Cho Lik Chan in the Department of Aerospace and Mechanical Engineering for her five years of undergraduate research on projects such as the Department of Energy, Multidisciplinary University Research Initiative concentrated solar power project; the NASA Space Grant, radiation properties measurement project; and the Undergraduate Research Opportunities Consortium, Stirling engine project, which later evolved into her senior capstone project, Solar Powered Stirling Engine. For more information you can visit Megan’s online portfolio or reach her at LinkedIn.

Research Highlight

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

A new IEA EBC Annex on occupant-centric design and controls has been approved. The Annex will involve about 100 experts from 20 countries for five 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
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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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nagy@utexas.edu

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