معرفی
Mengjie Han serves as Associate Professor in Microdata Analysis and Senior Lecturer in Data and Information Management within the Department of Information and Technology at Dalarna University. Her academic profile demonstrates a strong interdisciplinary focus connecting computational methods with sustainability applications.
Dr. Han's research interests center on applying machine learning and artificial intelligence techniques to solve complex sustainability challenges, particularly in urban environments and energy systems. Her work spans multiple domains including positive energy districts characterization, human mobility prediction, building energy optimization, and advanced classification methods. She has developed expertise in integrating fuzzy logic, genetic algorithms, and natural language processing with practical engineering applications to improve energy efficiency in buildings and transportation systems.
Analysis of her recent publications reveals a clear trajectory toward increasingly sophisticated applications of AI in sustainability contexts, with notable emphasis on positive energy districts research. Her 2024-2025 publications demonstrate methodological innovation in multi-label classification, fuzzy decision systems, and optimization algorithms specifically tailored for energy applications. The interdisciplinary nature of her work bridges computer science, urban planning, and environmental engineering.
Dr. Han teaches advanced courses that reflect her research expertise, including Research Methodology (GIK34Y), Complexity and operations analysis methods (AMI23C), and Applied Big Data and Cloud Computing (GIK2Q3). These courses provide students with both theoretical foundations and practical applications of data science methods.
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