I am working on developing data-intensive methodologies and algorithms in urban energy modelling, intelligent control, and multi-label classification. I have participated in 8 research projects in collaboration with regional and national companies and organisations in industries such as transport, energy, and retail.
Publications
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Han, Mengjie, Håkansson, Johan, Svensson, Tony, Zhao, Mia Xiaoyun. Planning for energy-efficient transport in a small town : Influence from different urban configurations of destination points and housing establishments, International Journal of Sustainable Transportation, 2025, Vol. 19, No. 2, 121-132. Article : refereed.
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Han, Mengjie, Canli, Ilkim, Shah, Juveria, Zhang, Xingxing, Dino, Ipek Gursel, Kalkan, Sinan. Perspectives of Machine Learning and Natural Language Processing on Characterizing Positive Energy Districts, Buildings, 2024, Vol. 14, No. 2. Article : refereed.
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Han, Mengjie, Zhu, Yurong, Song, William Wei, Zhang, Xingxing, Shen, Jingchun, Zhao, J., Chen, W. Using Genetic Algorithm to Control Ventilation Systems Based on Demand in a Single-Family House in Sweden, Part of: Encyclopedia of Sustainable Technologies, Second Edition: Volumes 1-4, Elsevier, 2024. Chapter of book.
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Sadeghian, Paria, Han, Mengjie, Håkansson, Johan, Zhao, Xiaoyun. Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data, Transportmetrica B, 2024, Vol. 12, No. 1. Article : refereed.
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Wang, Zhenwu, Liu, Fanghan, Han, Mengjie, Tang, Hongjian, Wan, Benting. PML-ED : A method of partial multi-label learning by using encoder-decoder framework and exploring label correlation, Information Sciences, 2024, Vol. 661. Article : refereed.
