Zoltán Nagy

Design, fabrication, and calibration of the Building EnVironment and Occupancy (BEVO) Beacon: A rapidly-deployable and affordable indoor environmental quality monitor

K. Kinney, P. Misztal, J. Park, 2022, Building and Environment.

Evaluating machine learning models to classify occupants’ perceptions of their indoor environment and sleep quality from indoor air quality

K. Kinney, Hagen Fritz, Mengjia Tang, 2022, Journal of the Air & Waste Management Association.

Human–Infrastructure Interactions during the COVID-19 Pandemic: Understanding Water and Electricity Demand Profiles at the Building Level

L. Katz, K. Kinney, L. Sela, 2021, ACS ES&T water.

Data fusion of mobile and environmental sensing devices to understand the effect of the indoor environment on measured and self-reported sleep quality

K. Kinney, Congyu Wu, David M Schnyer, 2022, Building and Environment.

Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments pdf

Samuel D. Gosling, R. Cameron Craddock, Edison Thomaz, 2020, ArXiv.

Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart meters

D. Niyogi, Ting Dai, Kingsley Nweye, 2023, Computational Urban Science.

Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts

Gabriella M. Harari, S. Gosling, C. Julien, 2021, GigaScience.