About
I am a Postdoctoral Researcher at the Institute for Web Science and Technologies, University of Koblenz.
I hold a Bachelor degree in Education in Information Technology (2007) from the Thai Nguyen University of Education, a master degree in Information Technology (2011) from the College of Technology, Vietnam National University, Ha Noi, and a PhD in Machine Learning and Educational Data Mining (2023) from Leibniz University Hannover (presentation,
dissertation). I have more than ten years of lecturing experience in Vietnam and Germany, teaching various courses in Computer Science, AI, Data Science, and Machine Learning. I actively review for over 30 international journals and 30 international conferences and am serving as a Reviewing Editor within Springer Nature Research Communities.
My research focuses on developing responsible and intelligent machine learning systems across several key areas. I work on fairness-aware machine learning to ensure that AI models make equitable decisions across different demographic groups, with applications in education, finance, and healthcare. In generative AI, I explore models capable of producing realistic and diverse content for data synthesis and creative tasks. I am also interested in explainable AI, aiming to make complex models more transparent and interpretable for both developers and end-users. Additionally, I study time series prediction, developing methods to accurately forecast trends and patterns in sequential data, particularly in finance.
- Address Universitätsstraße 1, 56070 Koblenz, Germany
- e-mail tailequy@uni-koblenz.de
- Research Databases Google Scholar
- Web of Science
- DBLP
- ORCID
- Scopus
- Semantic Scholar
- Reseach Gate
- IEEE Xplore
- ACM Digital Library
- Social Media Twitter
- OpenReview OpenReview
- Repository GitHub
