Zoltan Nagy

Eureka Projects

Deep Learning for big building data analysis

Sensor network for energy efficiency on campus

Sensor networks for sustainable buildings

Neural Networks for Building Energy Analysis

Data mining for maximizing comfort and energy savings on campus

Networking capabilities for environmental data acquisition system

PVLearn: Reinforcement Learning for smart photovoltaic energy management

Indoor GPS using Bluetooth LE for occupant localization in smart buildings

Data-driven analysis of the Impact of COVID19 in Austin

UT Campus Energy Analysis and Model Calibration

Job Title

Assistant Professor

Research Interests

Intelligent buildings, sustainable buildings and cities, influence of occupants on energy performance, machine learning and artificial intelligence in the built environment
Research Interest: Sensing and data mining for smart buildings and infrastructure
Renewable energy systems

Student Programs and Populations

Student research assistants

Students conducting independent research or a thesis

Majors from their affiliated departments

Any interested and motivated student, regardless of academic background

Students in the Bridging Disciplines Programs

Students in the Discovery Scholars program

Students in the Presidential Scholars program

Students in the University Leadership Network

Affiliated Departments

Civil, Architectural, and Environmental Engineering