معرفی
Dr. AJ (Ad) Feelders is an Associate Professor at Utrecht University, affiliated with the Department of Information and Computing Sciences within the Faculty of Science. His primary research focuses on Data Mining, Machine Learning, and Applied Data Science, with a particular emphasis on algorithmic data analysis and fraud detection. He has organized major conferences like the Symposium on Intelligent Data Analysis (IDA 2020) and contributed to editorial roles for journals such as Intelligent Systems in Accounting, Finance & Management.
- Roles: Associate Professor, Department of Information and Computing Sciences
- Affiliations: Utrecht University, Faculty of Science
His research spans diverse applications, including renewable energy analysis, Bayesian networks, and time series forecasting. Notable projects include developing methods for detecting critical events in energy production and creating graph embeddings for historical data analysis. He has also worked on fraud detection in international shipping and real-time outlier detection in water sensor data.
Feelders has authored or co-authored over 80 publications, including influential works on exceptional model mining, isotonic regression, and monotonic classification. His contributions bridge theoretical advancements with practical applications in domains like environmental science, healthcare, and digital humanities.
