Kailun Feng

Contact

kailun.feng@umu.se

+46 90 786 72 32, +46 72 206 35 07

Works as

Assistant professor at Department of Applied Physics and Electronics

X, Håken Gullessons väg 20, Teknikhuset, TEK.B.232 Umeå universitet, 901 87 Umeå

One-class anomaly detection through color-to-thermal AI for building envelope inspection

Energy and Buildings, Elsevier 2025, Vol. 328

Kurtser, Polina; Feng, Kailun; Olofsson, Thomas; et al.

Impact of thermal properties on building stock energy use using explainable artificial intelligence

ICCREM 2024: ESG Development in the Construction Industry: proceedings of the International Conference on Construction and Real Estate Management 2024, American Society of Civil Engineers (ASCE) 2025 : 870-878

Penaka, Santhan Reddy; Feng, Kailun; Lu, Weizhuo

Uncertainty management in construction: an integrated bayesian update and probability distribution reconstruction method

ICCREM 2025: Decarbonization and Digitalization of the Built Environment-Shaping Resilience in a Changing World, Proceedings of the International Conference on Construction and Real Estate Management 2025, American Society of Civil Engineers (ASCE) 2025 : 635-642

Wang, Shuo; Lu, Yuanxin; Wang, Yaowu; et al.

Real-time digital twin-driven 3D near-miss detection system at construction sites

Journal of construction engineering and management, American Society of Civil Engineers (ASCE) 2025, Vol. 151, (4)

Yan, Haofeng; Liu, Changyong; Yang, Xincong; et al.

An experimental framework for investigating thermal-related occupant behaviors and interactions in buildings under future climate scenarios

Yu, Haitao; Zhou, Jiayi; Lu, Weizhuo; et al.

Exploring performance of using SCM concrete: investigating impacts shifting along concrete supply chain and construction

Buildings, MDPI 2024, Vol. 14, (7)

Chen, Shiwei; Ye, Zhukai; Lu, Weizhuo; et al.

Intelligent human-buildings interaction lab as a platform to investigate inhabitants' adaptation towards temperature extreme weather

2024 9th International Conference on Smart and Sustainable Technologies, SpliTech 2024

Feng, Kailun; Chokwitthaya, Chanachok; Lu, Weizhuo

Exploring occupant behaviors and interactions in buildings with energy-efficient renovations: a hybrid virtual-physical experimental approach

Building and Environment, Elsevier 2024, Vol. 265

Feng, Kailun; Chokwitthaya, Chanachok; Lu, Weizhuo

Understanding consumers' willingness to pay for circular products: a multiple model-comparison approach

Sustainable Production and Consumption, Elsevier 2024, Vol. 45 : 67-78

Fu, Hanliang; He, Weijie; Feng, Kailun; et al.

Effects of construction workers’ safety knowledge on hazard-identification performance via eye-movement modeling examples training

Safety Science, Elsevier 2024, Vol. 180

Fu, Hanliang; Tan, Yubing; Xia, Zhongjing; et al.

Improved energy retrofit decision making through enhanced bottom-up building stock modelling

Energy and Buildings, Elsevier 2024, Vol. 318

Penaka, Santhan Reddy; Feng, Kailun; Olofsson, Thomas; et al.

A data-driven exploration of the relations between occupant behaviors and comfort performances of energy-efficient measures

ICCREM 2023: the human-centered construction transformation - proceedings of the international conference on construction and real estate management 2023, American Society of Civil Engineers (ASCE) 2023 : 592-604

Hu, Siying; Qiu, Shaowei; Feng, Kailun; et al.

Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits: A case study in northern Sweden

Technology in society, Elsevier 2023, Vol. 75

Liu, Bokai; Penaka, Santhan Reddy; Lu, Weizhuo; et al.

A data-driven framework for building energy benchmarking and renovation decision-making support in Sweden

SBE23-Thessaloniki: Sustainable built environments: Paving the way for achieving the targets of 2030 and beyond

Penaka, Santhan Reddy; Feng, Kailun; Rebbling, Anders; et al.

The characteristics of PM emissions from construction sites during the earthwork and foundation stages: an empirical study evidence

Environmental Science and Pollution Research, Springer Science+Business Media B.V. 2023, Vol. 30, (22) : 62716-62732

Yan, Hui; Li, Qiqi; Feng, Kailun; et al.

Data-driven modelling of building retrofitting with incomplete physics: a generative design and machine learning approach

Journal of Physics, Conference Series, Institute of Physics (IOP) 2023, Vol. 2654