Bart Baesens
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| Bart Baesens | |
|---|---|
 Bart_Baesens.jpg Bart Baesens | |
| Born | February 27, 1975 Bruges, Belgium |
| 🎓 Alma mater | KU Leuven (MSc, PhD) |
| 💼 Occupation | |
| Known for | Machine Learning Credit Risk Modeling Fraud Analytics Marketing Analytics |
| 🏅 Awards | McGraw Hill Australia Honourable Mention, 2010 EURO Best EJOR Paper (2014, 2017) OR Society Goodeve medal (2016) |
| 🌐 Website | www www |
Bart Baesens (born 1975) is a professor of Big Data & Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). His research focusses on data science, machine learning, analytics, credit risk modeling, fraud detection, and marketing analytics. Next to his research, Bart regularly tutors, advises and provides consulting support to international firms and has educated tens of thousands of data scientists across the globe in the fields of data science, analytics, credit risk, fraud, marketing, ICT and others.
Biography[edit]
Bart was born on February 27th, 1975 in Bruges, Belgium. He completed his high-school studies at Sint-Leocollege (Brugge).He obtained his MSc in Business Engineering: Management Informatics at KU Leuven in 1998. He successfully defended his PhD “Developing Intelligent Systems for Machine Learning” (promotor: Jan Vanthienen) in 2003. He then moved to Southampton Business School where he became a lecturer in Management Science. He is now a full-time professor at the Faculty of Economics & Business at KU Leuven where he teaches courses on Database Management Systems, Business Information Systems and Data Science. He is also a lecturer at the University of Southampton.
Academic Qualifications[edit]
Bart co-authored more than 300 scientific journal and conference papers and 10 books. His current Google Scholar H-index is 70 with 19,800 citations (May 2022). He has (co-edited) special issues of MIS Quarterly, the Machine Learning journal, IEEE Transactions on Neural Networks and Learning Systems, Decision Support Systems and Expert Systems with Applications. He successfully supervised 25 PhD theses to completion and was part of the examination committee of more than 50 PhD theses.
BlueCourses[edit]
In 2020, Bart founded BlueCourses.[1] together with his colleague prof. Tim Verdonck. BlueCourses is an ON-LINE learning platform offering courses on Machine Learning, Analytics, Credit Risk Modeling, Fraud Analytics, Climate Risk, Marketing Analytics, Customer Lifetime Value Modeling, Text Analytics, Deep Learning, Recommender Systems, Web Analytics, Quantum Machine Learning, Geospatial Analytics, Web Scraping, Time Series Analysis, etc. The platform pledges to invest at least 20% of its EBIT (Earnings Before Interest and Taxes) to companies cleaning up the oceans from plastic.
Books[edit]
Bart has written the following books: Analytics in a Big Data World[2], Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques [3], Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS [4], Credit Risk Analytics: The R Companion [5],Credit Risk Management: Basic Concepts [6], Principles of Database Management [7], Managing Model Risk [8], Beginning Java Programming [9], Practical Web Scraping for Data Science: Best Practices and Examples with Python [10], and Profit Driven Business Analytics [11]
Awards and honors[edit]
Bart received the McGraw Hill Australia Honourable Mention for Paper in Entrepreneurship Finance, Profitability & Growth in 2010.
He received the EURO 2014 award for the best EJOR paper in the category Innovative Applications and the EURO 2017 award for the best EJOR paper in the category Theory and Methodology.
Bart also received the OR Society’s Goodeve medal for best JORS paper published in the Journal of the Operational Research Society (JORS) in 2016.
Bart is listed in the top 2% of Stanford University's new Database of Top Scientists in the World [12]. He was also named one of the World's top educators in Data Science by CDO magazine in 2021.
References[edit]
- ↑ "BlueCourses".
- ↑ Baesens, Bart (May 19, 2014). Analytics in a Big Data World. John Wiley & Sons. ISBN 978-1118892701. Search this book on
- ↑ Baesens, Bart; Vlasselaer, Veronique Van; Verbeke, Wouter (August 17, 2015). Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. John Wiley & Sons. ISBN 978-1119133124. Search this book on
- ↑ Baesens, Bart; Roesch, Daniel; Scheule, Harald (October 3, 2016). Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS. John Wiley & Sons. ISBN 978-1119143987. Search this book on
- ↑ Scheule, Harald; Rösch, Daniel; Baesens, Bart (November 23, 2017). Credit Risk Analytics: The R Companion. CreateSpace Independent Publishing Platform. ISBN 978-1977760869. Search this book on
- ↑ Gestel, Tony Van; Baesens, Bart (2009). Credit Risk Management: Basic Concepts. OUP Oxford. ISBN 978-0199545117. Search this book on
- ↑ Lemahieu, Wilfried; Broucke, Seppe Vanden; Baesens, Bart (July 12, 2018). Principles of Database Management. Cambridge University Press. ISBN 978-1107186125. Search this book on
- ↑ Managing Model Risk. Amazon. Independently published. June 30, 2021. ISBN 979-8-5216-8698-8. Search this book on
- ↑ Baesens, Bart; Backiel, Aimee; Broucke, Seppe Vanden (March 2, 2015). Beginning Java Programming. John Wiley & Sons. ISBN 978-1118739495. Search this book on
- ↑ Broucke, Seppe Vanden; Baesens, Bart (April 19, 2018). Practical Web Scraping for Data Science: Best Practices and Examples with Python. Apress. ISBN 978-1484235812. Search this book on
- ↑ Verbeke, Wouter; Baesens, Bart; Bravo, Cristian (October 9, 2017). Profit Driven Business Analytics. John Wiley & Sons. ISBN 978-1119286554. Search this book on
- ↑ "Stanford University's new Database of Top Scientists in the World". October 26, 2021.
External links[edit]
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