Joachim Denzler

Joachim Denzler

Joachim Denzler is a full Professor of Computer Vision at the University of Jena. He has been the founding Director of the Michael-Stifel-Center Jena for Data-driven and Simulation Science and recently established the ELLIS Unit Jena (www.ellis-jena.ai) as well as the Director of the Institute of Data Science of the German Aerospace Center (DLR). Joachim’s main research interests revolve around the analysis, prediction and understanding of complex dynamical systems, including applications from medicine, psychology and earth system sciences. Fine-grained object classification, active learning and causal inference for time-series analysis are of particular interest. He addresses these topics with the development and application of machine learning methods, including deep learning, and aspects from explainable AI. Joachim is a member of the board of the Thuringia Center for Learning Systems and Robotics (www.tzlr.de) with the mission to transfer research results from AI to industry. Joachim is excited about the potential of using applications as drivers for basic research, especially to contribute to our society’s urgent and pressing problems, like climate change and biodiversity loss.

Joachim published more than 500 papers at international conferences and journals with around 10000 citations and an h-index of 45, according to google scholar. He is a PC member and reviewer of major conferences (NeurIPS, ICCV, ECCV, CVPR, ICLR) and Journals (IEEE TPAMI, IJCV, etc.). His group consists of 15 PhD students and receives funding from the German Research Foundation (DFG), Federal Ministry of Science (BMBF), and EU, as well as from industrial projects. He is a member of IEEE and IEEE Computer Society.

Share this speaker
Share This Speaker
  • Organization
    University of Jena
  • Profession
    Professor of Computer Vision
Related sessions
Discovery - AI for Earth and Sustainability Science
OnlineGOAL 13GOAL 7
27 January 2025
16:00 - 17:00
EST - New York
CST - Beijing
PST - Los Angeles
In many real-world applications, predicting how a system reacts under...
In personGOAL 15GOAL 13+1
31 May 2024
09:30 - 12:30
EST - New York
CST - Beijing
PST - Los Angeles
AI for Early Warning and Climate Impact Foresight – from...
GOAL 13
19 January 2024
11:00 - 17:00
EST - New York
CST - Beijing
PST - Los Angeles
This is a replay of a workshop that took place...
Discovery - AI for Earth and Sustainability Science
OnlineGOAL 12GOAL 13+1
17 January 2024
17:00 - 18:15
EST - New York
CST - Beijing
PST - Los Angeles
Machine learning approaches, especially deep neural networks, are showing tremendous...
Discovery - AI for Earth and Sustainability Science
OnlineGOAL 13GOAL 2
22 November 2023
17:00 - 18:15
EST - New York
CST - Beijing
PST - Los Angeles
ing nutrients to agricultural systems is critical to maximizing crop...
Discovery - AI for Earth and Sustainability Science
OnlineGOAL 10GOAL 13+2
11 October 2023
17:00 - 18:15
EST - New York
CST - Beijing
PST - Los Angeles
Characterizing the socio-economic status of populations and providing reliable, up-to-date...
GOAL 13
5 July 2023
09:00 - 18:00
EST - New York
CST - Beijing
PST - Los Angeles
Earth observation and climate data tend to be extremely large...
Discovery - AI for Earth and Sustainability Science
OnlineGOAL 10GOAL 11+2
26 April 2023
17:00 - 18:30
EST - New York
CST - Beijing
PST - Los Angeles
Mapping the urban forest across North America: A case study...

Are you sure you want to remove this speaker?