Prof. Dr. Prof. h.c. Andreas Dengel

  • Andreas Dengel is Professor at the Department of Computer Science at TU Kaiserslautern and Executive Director of the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern, Head of the Smart Data and Knowledge Services research area at DFKI and of the DFKI Deep Learning Competence Center. He is also a professor (kyakuin) in the Department of Computer Science and Intelligent Systems at Osaka Metropolitan University. His research focuses on machine learning, pattern recognition, quantified learning, data mining, semantic technologies and document analysis.


Basic Research

  • The focus of basic research is on algorithms and models that can process large multimedia data sources, prepare, filter, aggregate, and visualize them as needed. Such systems act as co-creative virtual companions that support humans in discovering contexts, remembering, making decisions, predicting, or recognizing complex patterns in heterogeneous data.

Application related Research

  • The goal of application-oriented research is to transfer cutting-edge technology and know-how in the field of artificial intelligence (AI) to German society and industry on a broad basis. In doing so, AI innovations are to be promoted, industry is to be supplied with AI know-how, and new AI start-ups are to be supported. Likewise, participation in technology consortia to drive national AI roadmaps and publish them to demonstrate the impact of AI on other disciplines and application areas.

Activities as Editor

  • He has written or edited 14 books and is the author of more than 600 peer-reviewed scientific publications, many of which have received Best Paper Awards.

Activities as a Reviewer

  • Over the years, Andreas has also taken on various reviewer roles. These include: Advisory Board Member NEC Computers and Communication Innovation Research Labs (CCIL), Advisory Board Member Computer Vision Center, University of Barcelona, Advisory Board Member Centre of Excellence on Semantic Technologies at Malaysian Institute of Microelectronic Systems (MIMOS), Advisory Board Member In'l Conference on Document Analysis and Recognition (ICDAR), reviewer at e. g. DFG, BMBF, Wissenschaftsrat der Bundesregierung, Research Council of Norway (RNC), Dutch Research Council (DRC), Swiss National Science Foundation (SNSF), Austrian Science Fund (ASF), etc.

Existing Memberships

  • Andreas is a member of the Gesellschaft für Informatik, Deutsche Akademie für Technikwissenschaften (acatech), International Association for Pattern Recognition (IAPR Fellow) and Chairman of the Flexible Factory Partner Alliance (FFPA).

Received Awards, Prizes, Honors

  • Back in 1997, Andreas already received one of the most prestigious personal science awards in Germany, the Alcatel/SEL Award for Technical Communication, for his scientific achievements. In 2010, he was invited to Google's Zeitgeist conference in London with the Text 2.0 system as one of the four technological highlights of the year. In 2019, Andreas was selected as one of the most influential scientists in 50 years of AI history in Germany by a jury commissioned by the German Federal Ministry of Education and Research (BMBF) for his research in document analysis. In the same year, he also received the Outstanding Achievement Award from the Int'l Conference on Document Analysis and Recognition (ICDAR) in Sydney, Australia. Finally, in 2021, Andreas was awarded the oldest Japanese order, the "The Order of the Rising Sun, Gold Rays with Neck Ribbon" in the name of His Majesty Emperor Naruhito.


    • 2022 Order of Merit of State Rheineland-Palatinate
    • 2021 Order of the Rising Sun, Gold Rays with Neck Ribbon
    • 2021 Membership at the National Academy of Science and Engineering (acatech)
    • 2019 ICDAR Outstanding Achievement Award
    • 2019 Ministry of Internal Affairs and Communication Award for FFPA
    • 2018 NVIDIA Pioneering Research Award, 2018 Int’l Computer Vision and Pattern Recognition Conference (CVPR 2018), Salt Lake City, Utah, USA
    • 2018 Distinguished Honorary Professor of the Osaka Prefecture University, Osaka, Japan

Special Expertise

  • Basic Research

    • Machine Learning (ML): Representation Learning, Zero-Shot/One-Shot/Few-Shot Learning, (Semi) Supervised Learning, Unsupervised Learning, Anomaly Detection

  • Application related Research

    • Smart Assistant Systems
    • Language and Text Comprehension: Sentiment Detection
    • Image Recognition and Understanding
    • Perception and Sensor Fusion