Prof. Dr. Han van der Aa

Junior Professor in Artifical Intelligence Methods

Universität Mannheim
B6, 26, Room B 1.19
D-68159 Mannheim

Email:  han (at) informatik.uni-mannheim.de 
Phone: +49 621 181 2661

Consultation hour: by appointment

Personal webpage

 

Research

Overview

Han van der Aa is a Junior Professor in the Data and Web Science Group at the School of Business Informatics and Mathematics of the University of Mannheim.  Before that, he was an Alexander von Humboldt Fellow at the Humboldt University of Berlin as part of the Databases and Information Systems Group of Matthias Weidlich

He received a PhD degree from the Department of Computer Science of the Vrije Universiteit Amsterdam, supervised by Hajo Reijers and Henrik Leopold in January 2018. Earlier, he received a MSc. degree in Business Information Systems (2013) as well as a BSc. degree in Industrial Engineering (2010), both from the Eindhoven University of Technology. He was a visiting research at the TECHNION – Isreal Institute of Technology in November 2016 and at the Vienna University of Economics and Business from June to August 2013.

Prof. Van der Aa currently holds a junior professorship in Artificial Intelligence Methods, where my research focuses on the development of automated methods for process analysis, driven by tailored artificial intelligence techniques. My work has, among others, been published in IEEE Transactions on Knowledge and Data Engineering,  Decision Support Systems, and Information Systems.

Research Interests

  • Process mining
  • Process analysis
  • Complex event processing
  • Robotic process automation

Publications 

Check out the publication lists on my personal webpage, google scholar, or dblp.


Bachelor and Master Thesis

I offer master and bachelor thesis topics in relation to my research interests and teaching subjects and am also open to students proposing their own topics as well as to master theses written in cooperation with companies. If you are interested, feel free to inquire about the possibilities by following the DWS thesis guidelines.