Background and activities

Hui HAN is a postdoctoral fellow at the Department of Computer Science, working with Prof. Jingyue Li. She received her PhD. in Industrial Engineering from the Technical University of Madrid (UPM). Her research focus is data science (specifically on random forests and TinyML). She also leads research initiatives on the design of sustainability modeling for reverse logistics and closed-loop supply chains, and offers expertise in the areas of social commerce and Industry 4.0. Her articles have appeared in such journals as Technological Forecasting & Social Change, Electronic Commerce Research and Applications, Journal of Theoretical and Applied Electronic Commerce Research, and Expert Systems with Applications.

Education

Ph.D., Industrial Engineering. Technical University of Madrid (UPM), Spain,  2017

Research Interests

  • Data Science: Random forests and TinyML
  • Industry 4.0
  • Multicriteria Decision Analysis: Fuzzy TOPSIS
  • Information System: Social commerce and e-commerce
  • Sustainability: Reverse logistics and closed-loop supply chains

Research Experience

  • Fraunhofer IESE, Germany (2021)
  • University of Jyväskylä, Finland (2013)
  • JAMK University of Applied Science, Finland (2011)

Google Scholar Page

publications and citations 

Scientific, Academic and Artistic Work

Hui Han and Silvana Trimi (2022). Towards a data science platform for improving SME collaboration through Industry 4.0 technologies. Technological Forecasting and Social Change, 174, 1-13. DOI: https://doi.org/10.1016/j.techfore.2021.121242

Hui Han and Jingyue Li (2022). Tiny Machine Learning: A New Technique for AI Security. ERCIM NEWS 129, 16-17

Hui Han, HongYi Xu, and HongQuan Chen (2018). Social commerce: A systematic review and data synthesis. Electronic Commerce Research and Applications, 30(2018), 38–50. DOI: https://doi.org/10.1016/j.elerap.2018.05.005.

Hui Han and Silvana Trimi (2018). A Fuzzy TOPSIS Method for Performance Evaluation of Reverse Logistics in Social Commerce Platforms. Expert Systems with Applications, 103(2018), 133-145. DOI: https://doi.org/10.1016/j.eswa.2018.03.003

Hui Han and Silvana Trimi (2017). Social commerce design: a framework and application. Journal of Theoretical and Applied Electronic Commerce Research, 12(3), 50-68. DOI:4067/S0718-18762017000300005

Hui Han and Eva Ponce-Cueto (2015). Waste Collection Vehicle Routing Problem: A Literature Review. PROMET – Traffic & Transportation, 27(4), 345– DOI: 10.7307/ptt.v27i4.1616