Yanxiao Feng
Yanxiao Feng
Assistant Professor, School of Applied Engr & Tech
250B Fenster Hall (FENS)
About Me
Dr. Yanxiao Feng joins the School of Applied Engineering and Technology at the New Jersey Institute of Technology as an assistant professor, and she also holds a joint appointment in the Hillier College of Architecture & Design. Her research interests mainly focus on the interface between human factors and the building’s physical environment toward the ultimate goals in terms of building sustainability, resilience, and environmental health.
Education
Ph.D.; Pennsylvania State University-Main Campus; Architectural Engineering; 2022
M.S.; Syracuse University; Construction Engineering and Management; 2016
B.S.; China University of Petroleum; Civil Engineering; 2012
M.S.; Syracuse University; Construction Engineering and Management; 2016
B.S.; China University of Petroleum; Civil Engineering; 2012
2024 Fall Courses
USYS 725 - INDEPENDENT STUDY I
USYS 726 - INDEPENDENT STUDY II
USYS 790B - DISSERTATION RESEARCH
USYS 792 - PRE-DOCTORAL RESEARCH
CET 317 - CONSTRUCTION COMPUTING
USYS 790E - DISSERTATION RESEARCH
USYS 790A - DISSERTATION RESEARCH
USYS 790C - DISSERTATION RESEARCH
USYS 790D - DISSERTATION RESEARCH
USYS 726 - INDEPENDENT STUDY II
USYS 790B - DISSERTATION RESEARCH
USYS 792 - PRE-DOCTORAL RESEARCH
CET 317 - CONSTRUCTION COMPUTING
USYS 790E - DISSERTATION RESEARCH
USYS 790A - DISSERTATION RESEARCH
USYS 790C - DISSERTATION RESEARCH
USYS 790D - DISSERTATION RESEARCH
Teaching Interests
Construction computing,
Green building and construction,
Building information modeling and visualization,
Building envelope systems,
Data analytics in architectural engineering
Green building and construction,
Building information modeling and visualization,
Building envelope systems,
Data analytics in architectural engineering
Past Courses
CET 317: CONSTRUCTION COMPUTING
CET 323: CONSTRUCTION SAFETY
CET 323: CONSTRUCTION SAFETY
Research Interests
Building sustainability and resilience,
Comfort, health and energy efficiency in the built environment,
Smart sensing building technologies.
Comfort, health and energy efficiency in the built environment,
Smart sensing building technologies.
Journal Article
Feng, Yanxiao, & Wang, Julian, & Wang, Nan, & Chen, Chenshun (2023). Alert-based wearable sensing system for individualized thermal preference prediction. Building and Environment, 232, 110047.
Wang, Nan, & Wang, Julian, & Feng, Yanxiao (2022). Systematic review: Acute thermal effects of artificial light in the daytime. Renewable and Sustainable Energy Reviews, 165, 112601.
Feng, Yanxiao, & Liu, Shichao, & Wang, Julian, & Yang, Jing, & Jao, Ying-Ling, & Wang, Nan (2022). Data-driven personal thermal comfort prediction: A literature review. Renewable and Sustainable Energy Reviews, 161, 112357.
Feng, Yanxiao, & Wang, Julian, & Fan, Howard, & Hu, Yuqing (2021). A BIM-Based Coordination Support System for Emergency Response. IEEE Access, 9, 68814-68825.
Feng, Yanxiao, & Duan, Qiuhua, & Chen, Xi, & Yakkali, Sai Santosh, & Wang, Julian (2021). Space cooling energy usage prediction based on utility data for residential buildings using machine learning methods. Applied Energy, 291, 116814.
Duan, Qiuhua, & Feng, Yanxiao, & Wang, Julian (2021). Clustering of visible and infrared solar irradiance for solar architecture design and analysis. Renewable Energy, 165, 668-677.
Feng, Yanxiao, & Duan, Qiuhua, & Wang, Julian, & Baur, Stuart (2020). Approximation of building window properties using in situ measurements. Building and Environment, 169, 106590.
Wang, Nan, & Wang, Julian, & Feng, Yanxiao (2022). Systematic review: Acute thermal effects of artificial light in the daytime. Renewable and Sustainable Energy Reviews, 165, 112601.
Feng, Yanxiao, & Liu, Shichao, & Wang, Julian, & Yang, Jing, & Jao, Ying-Ling, & Wang, Nan (2022). Data-driven personal thermal comfort prediction: A literature review. Renewable and Sustainable Energy Reviews, 161, 112357.
Feng, Yanxiao, & Wang, Julian, & Fan, Howard, & Hu, Yuqing (2021). A BIM-Based Coordination Support System for Emergency Response. IEEE Access, 9, 68814-68825.
Feng, Yanxiao, & Duan, Qiuhua, & Chen, Xi, & Yakkali, Sai Santosh, & Wang, Julian (2021). Space cooling energy usage prediction based on utility data for residential buildings using machine learning methods. Applied Energy, 291, 116814.
Duan, Qiuhua, & Feng, Yanxiao, & Wang, Julian (2021). Clustering of visible and infrared solar irradiance for solar architecture design and analysis. Renewable Energy, 165, 668-677.
Feng, Yanxiao, & Duan, Qiuhua, & Wang, Julian, & Baur, Stuart (2020). Approximation of building window properties using in situ measurements. Building and Environment, 169, 106590.