Andreas Dengel - born 1961 - is a German computer scientist and university lecturer as well as managing director of the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern, which was founded in 1988. He studied computer science with a minor in economics at the Technical University of Kaiserslautern until 1986. Subsequently, he was awarded a doctorate in computer science at the University of Stuttgart in 1989.
After working for IBM, Siemens and a research stay at Xerox Parc in Palo Alto, he became Scientific Director in 1993, heading a research department at DFKI, which is now called "Smart Data and Knowledge Services". At the same time, Andreas Dengel was offered a C3 professorship at the chair of Knowledge-Based Systems at the Technical University of Kaiserslautern, which was upgraded to a C4 position in 1997 and a W3 position in 2013 after external offers were rejected. Since 2009, he is also authorized to teach and examine at Osaka Prefecture University and holds a professorship (kyakuin) at the Department of Computer Science and Intelligent Systems.
Andreas Dengel has chaired numerous international conferences and is on the editorial board of international journals and book series. He has written or edited 14 books and is the author of more than 500 scientific publications, 14 of which have received the Best Paper Award. He has supervised more than 450 doctoral, master and bachelor theses.
In addition, he is the founder, initiator and mentor of many successful start-up companies, three of which have received the "Pioneer Spirit Award", first prize in the "1,2,3 GO" start-up competition and the "Cebit Innovation Award". For his contributions he was honoured with the "Start-up Sponsor of the Year" award in 2015.
Andreas Dengel is Fellow of the International Association for Pattern Recognition (IAPR) and Chairman of the Flexible Factory Partner Alliance (FFPA). He advises academic institutions, research programs and ministries in Germany and abroad. For his scientific achievements, he has received one of the most prestigious personal scientific awards in Germany, the Alcatel/SEL Award on Technical Communication, and in March 2018 he was appointed "Distinguished Honorary Professor" (tokubetu eiyo kyoju) at Osaka Prefecture University, an award that only five researchers have received in 135 years. His research focuses on machine learning, pattern recognition, quantified learning, data mining, semantic technologies and document analysis.
For his research work in the field of document analysis, Andreas Dengel was selected in 2019 by a jury commissioned by the German Federal Ministry of Education and Research (BMBF) as one of the most influential scientists in 50 years of AI history in Germany. In the same year he also received the Outstanding Achievement Award of the Int'l Conference on Document Analysis and Recognition (ICDAR) in Sydney, Australia.
Academic Education and University Career
- 2013 Named W3 Professor, Department of Computer Science, University of Kaiserslautern
- 1997 Named C4 Professor, Department of Computer Science, University of Kaiserslautern
- 1993 Named C3 Professor, Department of Computer Science, University of Kaiserslautern
- 1989 Promotion to Doctor of Science (Dr. rer. nat.) in Computer Science, University of Stuttgart
- 1986 Degree in Computer Science with Minor in Economics from the University of Kaiserslautern, Germany
Research Groups & Topics
My team and I are committed to interdisciplinary research and teaching, which is reflected in both the research projects and the education program. A total of 29 PhD students are currently working at my department. In recent years, members of my team have received numerous important awards for their research work, such as the Google Research Award, the McKinsey Business Technology Award, the Janssen-Cilag Future Award and the CEBIT Future Market Award.
My work focuses on the conception and development of tools, solution platforms and co-creative assistance systems that can process large multimedia data sources, process, filter, aggregate and visualize them according to demand. Such systems act as co-creative virtual companions that support people in discovering contexts, remembering, making decisions, predicting or recognizing complex patterns in heterogeneous data. The following projects are currently underway at the chair itself:
- FruitFlyDetector – Visual Inspection of Fruit Quality, funded by DAAD, 2014-2017
- WARM – Smart Water Resource Management System for Agriculture, funded by DAAD, 2015-2018
- HyperMind – Das antizipierende Schulbuch, funded by BMBF, 2016-2019
Within the field of research, my focus is on projects carried out at DFKI. There, publicly funded projects are realized and transfer projects with industrial partners are initiated and acquired. Currently, these are nearly 40 projects with a third-party funding volume of approximately € 5 million for the year 2018. The important funding projects I have carried out in the last ten years are:
- AdREAD – Adaptive Recognition and Analysis of Documents, funded by BMBF, 1999-2003
- Nepomuk – The Social Semantic Desktop, funded by EU, 2006-2009
- Perspecti1ng – Understanding Attention during READING, funded by BMBF, 2006-2010
- iGreen – Smart Data and Knowledge Services in Agriculture, funded by BMBF, 2009-2013
- METIS – Knowledge-based search and retrieval methods for the development of in-formation in semantic models, funded by DFG, 2013-2016
- MOM – Multimedia Opinion Mining, funded by BMBF, 2014-2017
- LOC-DB – Linked Open Citation Database, funded by DFG, 2016-2018
- DeFuseNN – Deep Fusion for Neural Networks, funded by BMBF, 2016-2019
- ManagedForgetting – Forgetting in the Internet, funded by DFG, 2017-2019
As part of my professorship, various lectures are offered and held in the area of Intelligent Systems. In addition to seminars and projects, the following lectures are offered:
- Introduction to Symbolic Artificial Intelligence
- Applications of Artificial Intelligence
- Collaborative Intelligence
- Multi-Media Data Mining
- Semantic Technologies
- Case-Based Reasoning
- Social Web Mining
- Document and Content Analysis