Scholar
Tai Le Quy
Google Scholar ID: m1pZOn0AAAAJ
Postdoctoral Researcher, Universität Koblenz
Citations & Impact
Citations
693
H-index
10
i10-index
10
Publications
17
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- - Publications: Multiple papers published in conferences and journals like PAKDD, ECML/PKDD, WIREs Data Mining and Knowledge Discovery
- - Reviewing: Reviewer for over 20 reputable international journals, including Nature Scientific Reports and ACM TKDD
- - Conference Service: Served on the Program Committee for over 20 AI/ML conferences, including AAAI, KDD, IJCAI, ECML/PKDD, etc.
Research Experience
- - Position: Postdoctoral Researcher, Institute for Web Science and Technologies, University of Koblenz
- - Teaching Experience: Over ten years of experience as a lecturer at the Banking Academy of Vietnam, Thai Nguyen University of Education, and IU International University of Applied Sciences (Berlin campus), teaching courses in Computer Science, Data Science, and Machine Learning
- - Projects: Involved in various research projects, such as fairness-aware clustering, student performance prediction, etc.
Education
- - Bachelor's Degree: Education in Information Technology, 2007, Thai Nguyen University of Education, Vietnam
- - Master's Degree: Information Technology, 2011, College of Technology, Vietnam National University, Hanoi
- - Doctoral Degree: Fairness-aware Machine Learning in Educational Data Mining, 2023, L3S Research Center - Leibniz University Hannover (magna cum laude - very good)
Background
- - Research Interests: fairness-aware machine learning, educational data mining, responsible AI, generative AI, deep learning, and time series prediction
- - Professional Field: Computer Science, Data Science, Machine Learning
- - Introduction: Currently a Postdoctoral Researcher at the Institute for Web Science and Technologies, University of Koblenz, Germany
Miscellany
- - Social Media: Twitter, LinkedIn, GitHub, etc.
- - Other: Active on research databases such as Google Scholar, Web of Science, DBLP, etc.
