Curriculum Vitae of Prof. Dr. Jochen De Weerdt Kesseldallaan 72 bus 0303, 3010 Kessel-Lo, Belgium Mobile: +32 485 85 85 74 Email: Jochen.DeWeerdt@kuleuven.be Website: www.jochendeweerdt.com Personalia Citizenship: Belgian Date of birth: 06/01/1986 Place of birth: Halle, Belgium Marital status: Married Education 2009 2012 Doctor of Applied Economics (PhD) Faculty of Business and Economics, KU Leuven, Leuven, Belgium PhD thesis: Business Process Discovery: New Techniques and Applications Promotor: Prof. dr. Bart Baesens Co-promotor: Prof. dr. Jan Vanthienen PhD committee: Prof. dr. Bart Baesens (Promotor, KU Leuven, Belgium) Prof. dr. Jan Vanthienen (Co-promotor, KU Leuven, Belgium) Prof. dr. ir. David Martens (University of Antwerp, Belgium) Prof. dr. Manu De Backer (University of Ghent, Belgium) Prof. dr. Jan Mendling (Wirtschaftsuniversität Wien, Vienna, Austria) Prof. dr. ir. Wil M.P. van der Aalst (TUEindhoven, The Netherlands) 2004 2009 Master in Business Engineering, Management Informatics (Handelsingenieur in de Beleidsinformatica) Result: Magna cum laude KU Leuven, Leuven, Belgium Master s thesis: Studie rond het gebruik van de elektronische identiteitskaart (eid) in een B2B- en B2C-context Promotor: Prof. dr. Jan Vanthienen 1998 2004 Secondary school: Sciences Mathematics Heilig-Hartinstituut, Halle, Belgium
Professional experience Sept. 2009 Oct. 2012 Nov. 2012 Dec. 2013 Jan. 2014 Now Doctoral Researcher Research Centre for Management Informatics (LIRIS) Faculty of Business and Economics, KU Leuven Leuven, Belgium Postdoctoral Research Fellow Information Systems School, Faculty of Science and Engineering, Queensland University of Technology (QUT) Brisbane, QLD, Australia. Assistant Professor Research Centre for Management Informatics (LIRIS) Faculty of Business and Economics, KU Leuven Leuven, Belgium Language skills Dutch English French German Mother tongue Proficient in speaking, reading, and writing Good in speaking, reading, and writing Basic in speaking, reading, and writing Software development experience 2013 CoBeFra plug-in for ProM 6 The Process Mining Toolkit (http://promtools.org/prom6/) 2011 ActiTraC plug-in for ProM 6 The Process Mining Toolkit (http://promtools.org/prom6/) Training 2009 Doctoral School: Data Mining in Practice Arenberg Doctoral School, KU Leuven, Belgium Teaching experience 2011 Seminar: Business Process Mining, Leuven, May 25 th, 2011 Course: Knowledge Management and Business Intelligence
2011 Seminar: Analyzing operational processes with Process Mining two case studies, October 24 th, 2011 Course: Business Cases Lecture 2009-2012 Master thesis guidance Programs: Master of Applied Economics: Business Engineering, Master of Information Management, Master in Management (+/- 15 students) 2013-2014 Business Information Systems (D0T12a & D0W24a) 2 nd bachelor unit in the Applied Economics and Business Engineering students Faculty of Economics and Business (KU Leuven & campus KULAK) Publication list Journal publications 2014 S. vanden Broucke, J. De Weerdt, J. Vanthienen, and B. Baesens. Determining Process Model Precision and Generalization with Weighted Artificial Negative Events. IEEE Transactions on Knowledge and Data Engineering, forthcoming, 2014. F. Caron, J. Vanthienen, K. Vanhaecht, E. Van Limbergen, J. De Weerdt, B. Baesens. A process mining based investigation of adverse events in care processes. Health Information Management Journal, forthcoming, 2014. 2013 J. De Weerdt, S. vanden Broucke, J. Vanthienen, and B. Baesens. Active trace clustering for improved process discovery. IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 12, pp. 2708-2720, 2013. J. De Weerdt, A. Schupp, A. Vanderloock, and B. Baesens. Process mining for the multifaceted analysis of business processes - A case study in a financial services organization. Computers in Industry, Vol. 64, No. 1, pp. 57-67, 2013. 2012 J. De Weerdt, M. De Backer, J. Vanthienen, and B. Baesens. A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs. Information Systems, Vol. 37, No. 7, pp. 654-676, 2012. 2011 S. Goedertier, J. De Weerdt, D. Martens, J. Vanthienen, and B. Baesens. Process discovery in event logs: An application in the telecom industry. Applied Soft Computing, Vol. 11, No. 2, pp. 1697-1710, 2011.
Conference and Workshop Proceedings 2013 M.T. Wynn, J. De Weerdt, A.H.M. ter Hofstede, W.M.P. van der Aalst, H.A. Reijers, M. Adams, C. Ouyang, M. Rosemann, and W.Z. Low, Cost-Aware Business Process Management: A Research Agenda. In: Australian Conference on Information Systems (ACIS), 2013, Melbourne, Australia. 2012 S. vanden Broucke, J. De Weerdt, B. Baesens, and J. Vanthienen. Improved artificial negative event generation to enhance process event logs. In: Conference on Advanced Information Systems Engineering (CAiSE), pp. 254-269, 2012, Gdaǹsk, Poland. J. De Weerdt, S. vanden Broucke, J. Vanthienen, and B. Baesens. Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. In: IEEE Congress on Evolutionary Computation (IEEE CEC), pp. 1-8, 2012, Brisbane, Australia. Best Student Paper Award J. De Weerdt, F. Caron, J. Vanthienen, and B. Baesens. Getting a grasp on clinical pathway data: an approach based on process mining. In: Third Workshop on Data Mining for Healthcare Management at the Sixteenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (DMHM-PAKDD), pp. 22-35, 2012, Kuala Lumpur, Malaysia. 2011 J. De Weerdt, M. De Backer, J. Vanthienen, and B. Baesens. A robust f-measure for evaluating discovered process models. In: IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM), pp. 148-155, 2011, Paris, France. F. Caron, J. Vanthienen, J. De Weerdt, and B. Baesens. Advanced care-flow mining and analysis. In: Business Process Management Workshops (BPM Workshops), pp. 167-168, 2011, Clermont-Ferrand, France. Co-winner of the BPI Challenge 2011 2010 J. De Weerdt, M. De Backer, J. Vanthienen, and B. Baesens. A critical evaluation study of model-log metrics in process discovery. In: Business Process Management Workshops 2010 (BPM Workshops), pp. 158-169, 2010, Hoboken, NJ, USA. Research awards 2012 IEEE World Congress on Evolutionary Computation (IEEE CEC) Best Student Paper Award Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes, at the IEEE Congress on
Evolutionary Computation (IEEE CEC), part of the 2012 IEEE WCCI, Brisbane, Australia. 2011 Business Processing Intelligence Challenge (BPIC) Beyond X-Raying a Case-Flow: Adopting Different Focuses on Care-Flow Mining, at the 7th International Workshop on Business Process Intelligence, Clermont-Ferrand, France. (together with Filip Caron and Jan Vanthienen) Professional activities 2014 Co-organizer of the 10 th International Workshop on Business Process Intelligence (BPI 14) Part of the 12 th Business Process Management Conference (BPM 14), Haifa, Israel. 2013 Co-organizer of the 9 th International Workshop on Business Process Intelligence (BPI 13) Part of the 11 th Business Process Management Conference (BPM 13), Beijing, China. 2013 PC member for 1st Int. Workshop on Decision Mining & Modelling for Business Processes (DeMiMoP'13) Part of the 11 th Business Process Management Conference (BPM 13), Beijing, China. Reviewer Information Systems, Transactions on Fuzzy Systems, Applied Soft Computing, Decision Support Systems, Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks, European Journal of Operational Research Extra curricular Tennis: Golf: Ranked top 80 in Belgium in 2004 & 2005 (ranking B-15/2) Current ranking: B-15 Handicap: 17.0, Member at Golf Club Hulencourt, Vieux-Genappe, Belgium