Profile

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.

Research

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 fair decisions across different demographic groups, with applications in domains such as education, finance, and healthcare. In the area of generative AI, I explore models capable of creating realistic and diverse content, with use cases ranging from data synthesis to 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 for real-world applications, particularly in finance.

Publications

The publication lists can also be found on ORCID and on Google Scholar.

Teaching

Winter Semester 2025/2026

Introduction to Web Science
Exercises for Introduction to Web Science
Exercises for Recommender Systems

Summer Semester 2025

Foundation Models
Exercises for Foundation Models
Seminar: AI in Finance: Threats and Challenges

Winter Semester 2024/2025

Introduction to Web Science
Exercises for Recommender Systems
Research Lab: Exploring Bias and Fairness in Large Language Models

Supervision

The topics of the master's theses I supervise mainly focus on fairness-aware machine learning, AI for education, generative AI, explainable AI and Time series prediction.

Please refer to the WeST Student Handbook available on OLAT, which explains the entire process—from finding a thesis topic to submitting it to the examination office. When reaching out, please include your most recent CV and a transcript of your studies.

Services

I actively contribute to the research community through activities such as reviewing and evaluating scholarly work.

Conference peer review

• CIKM 2020 (rank A CORE)
• AIES 2022 , AICS 2022, ECML/PKDD 2022 (rank A CORE), PAKDD 2022 (rank A CORE), IJCAI 2022 (rank A* CORE)
• AIED 2023 (rank A CORE), ECML/PKDD 2023 (rank A CORE)
• AIED 2024 (rank A CORE), ECML/PKDD 2024 (rank A CORE), EDM 2024 (rank B CORE), ECAI 2024 (rank A CORE)
• AAAI 2025 (rank A* CORE), AIED 2025 (rank A CORE), ECIR 2025 (sub reviewer, rank A CORE), EDM 2025 (rank B CORE), ICML 2025 (rank A* CORE), IJCNN 2025 (rank B CORE), KDD 2025 (ADS and research tracks, rank A* CORE), PAKDD 2025 (rank A CORE), The ACM Web Conference 2025 (rank A* CORE), ECAI 2025 (rank A CORE)

Journal peer review

• ACM Transactions on Knowledge Discovery from Data (TKDD) (Q1 SJR, IF: 4.0)
• AI and Ethics (AIET)
• Applied Sciences (Q1 SJR, IF: 2.5)
• Applied Computational Intelligence and Soft Computing (Q1 SJR, IF: 2.4 )
• Applied Intelligence (APIN) (Q2 SJR, IF: 3.4)
• Complexity (Q1 SJR, IF: 1.7)
• Education and Information Technologies (EAIT) (Q1 SJR, IF: 4.8)
• Electronics (Q2 SJR, IF: 2.6)
• Forecasting (Q1 SJR, IF: 2.3)
• Frontiers in Artificial Intelligence (Q2 SJR, IF: 3.0)
• IEEE Signal Processing Magazine (SPM) (Q1 SJR, IF: 9.4)
• Information Sciences (INS) (Q1 SJR, IF: 8.2)
• Information Systems (INFOSYS) (Q1 SJR, IF: 3.0)
• International Journal of Digital Earth - TJDE (Q1 SJR, IF: 3.7)
• Journal of Data Science and Analytics (Q2 SJR, IF: 3.4)
• Journal of Infrastructure Policy and Development (JIPD) (Q2 SJR, IF: 1.5)
• Knowledge and Information Systems (KAIS) (Q1 SJR, IF: 2.5)
• Mathematics (Q2 SJR, IF: 2.3)
• Neural Computing and Applications (NCAA) (Q1 SJR, IF: 4.5)
• npj Digital medicine (Q1 SJR, IF: 12.4)
• SN Computer Science (Q2 SJR, IF: 4.3)
• Scientific Report (Q1 SJR, IF: 3.8)
• Sensors (Q1 SJR, IF: 3.4)
• Symetry (Q2 SJR, IF: 2.2)
• The Journal of Supercomputing (SUPE) (Q2 SJR, IF: 2.5)

Reviewing Editor

• Springer Nature (since November 2025)

Section Chair

• PAKDD 2025 (Sydney, Australia)