Yanxiao Feng

Yanxiao Feng is an Assistant Professor at the School of Applied Engineering and Technology, New Jersey Institute of Technology (NJIT). His research focuses on sustainable architecture, energy efficiency, and smart building technologies. He specializes in thermal comfort modeling, wearable sensing systems, and machine learning applications in construction and environmental engineering.

Key research interests include optimizing building energy performance through advanced glazing systems, predicting thermal comfort using occupant-centric data, and developing innovative materials for solar energy harnessing. He explores interdisciplinary topics such as data-driven modeling for concrete strength prediction and energy savings simulation.

His recent work emphasizes the integration of wearable technology and real-time environmental monitoring to personalize indoor comfort. Collaborations involve cross-disciplinary teams addressing social vulnerability in building resilience and smart emergency response systems.

Notable contributions include the SolarDecomp web application for solar radiation analysis and frameworks for occupant-informed building design. His research often bridges theoretical models with practical applications in sustainable infrastructure.