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.
Research projects
Publications
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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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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.
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Wang, Zhenwu, Xue, Liang, Guo, Yinan, Han, Mengjie, Liang, Shangchao. Solving dynamic multi-objective optimization problems via quantifying intensity of environment changes and ensemble learning-based prediction strategies, Applied Soft Computing, 2024, Vol. 154. Article : refereed.
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Han, Mengjie, Shah, Juveria, Zhang, Xingxing. Review of natural language processing techniques for characterizing positive energy districts, journal of Physics; Conference series : 2023. Conference paper : refereed.
