In this paper, we propose a gamification approach as a novel framework for smart building
infrastructure with the goal of motivating human occupants to consider personal energy …

In this paper, we propose a gamification approach as a novel framework for smart building
infrastructure with the goal of motivating human occupants to reconsider personal energy …

Energy game-theoretic frameworks have emerged to be a successful strategy to encourage
energy efficient behavior in large scale by leveraging human-in-the-loop strategy. A number …

While reinforcement learning (RL) on humans has shown incredible promise, it often suffers
from a scarcity of data and few steps. In instances like these, a planning model of human …

Improving demand response can help optimize renewable energy use and might be
possible using current tools in machine learning. We propose an experiment to test the …

Engaging consumers with energy use is a challenging endeavor; however, different forms of
data visualization may help by creating relationships between a user and their data. Here …

The goal of this research is to enable optimal human-cyber-physical systems (h-CPS) by
data-efficient analytics. The capacities of societal-scale infrastructures such as smart …

The implementation of smart building technology in the form of smart infrastructure
applications has great potential to improve sustainability and energy efficiency by leveraging …

This dissertation thesis explores Human-Centric Cyber-Physical Systems by simultaneously
considering users' behavior/preference and their interaction as strategic agents. We …

Climate change and pandemics are two of the most pressing threats facing humanity today.
Addressing these urgent threats require immediate mitigative actions. In the US, buildings …