Tai Le Quy

Tai Le Quy is a Postdoctoral Researcher at the Institute for Web Science and Technologies, University of Koblenz. His academic journey includes a Ph.D. in Computer Science (2023) from Leibniz University Hannover, a Master’s in Information Technology (2011) from Vietnam National University, and a Bachelor’s in Education in Information Technology (2007) from Thai Nguyen University of Education.

• Ph.D.: Computer Science, Leibniz University Hannover, 2016-2023
• M.Sc.: Information Technology, Vietnam National University, 2007-2011
• B.Sc.: Education in Information Technology, Thai Nguyen University of Education, 2003-2007

His research focuses on Fairness-aware Machine Learning, Educational Data Mining, and Responsible AI, with applications in student grouping, credit scoring, and time series prediction. He has contributed to clustering models with fairness constraints and developed fairness evaluation metrics like FACROC.

Tai’s publications highlight trends in

• Fair clustering algorithms
• Educational equity through ML
• Financial and stock market prediction models
• Deep learning for transportation and energy disaggregation

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Notable scientific awards include:

• Top-cited article in WIREs Data Mining and Knowledge Discovery (2024)
• PAKDD 2023 Student Registration Award
• IEEE BigData 2021 Student Travel Award

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With over a decade of teaching experience at institutions like the Banking Academy of Vietnam and IU International University of Applied Sciences, he has supervised multiple theses on educational and financial ML applications. His work also involves interdisciplinary collaborations in AI ethics and data-driven educational policy.