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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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November 23, 2018, Filed Under: Past Projects II

Non-Smooth Dynamics Modeling of Wireless Resonant Magnetic Microactuators

In this project, we considered the world's first really untethered microrobots that are driven by oscillating magnetic fields. The oscillations are converted into mechanical energy and rectified using a spring-mass impact system with friction, leading to stick-slip motion. I model this system using Read more 

November 23, 2018, Filed Under: Past Projects II

Intraocular Microrobots and Control Using Field Gradients

This project aimed at developing magnetic microrobotics for ophtalmic surgery. I was involved in developing the magnetic model for assembled-MEMS microrobots. The model is validated through FEM simulations and experiments, and captures the characteristics of complex 3-D structures. It allows us, Read more 

November 23, 2018, Filed Under: Past Projects II

Assembling Reconfigurable Endoluminal Surgical (ARES) System

We were developing a modular robotic system that can be swallowed and will assemble inside the G.I. Tract for therapeutic and diagnostic procedures. ETH Zürich is one of four European universities participating in this project, led by Paolo Dario at Scuola Superiore Sant'Anna. My research Read more 

Research Highlight

UT Energy App – Privacy Policy

  The Intelligent Environments Laboratory is releasing the first version of the UT Energy App. This app is intended to provide a way to 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
ITS

301 E Dean Keeton St
Austin, TX 78712
512-555-5555
nagy@utexas.edu

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