Computer Vision and Machine Learning in Ecology Joachim Denzler Computer Vision Group & Michael Stifel Center Jena for Data Driven and Simulation Science Friedrich Schiller University Jena

Personal Background Diploma (1992), PhD (1997), Habilitation (2003) in Computer Science from Friedrich-Alexander University Erlangen-Nuremberg, Germany 2003-2004: Associate Professor, Computer Vision, University Passau Since 2004: Professor, Chair for Digital Image Processing, Friedrich Schiller University Jena Since 2015: Managing Director, Michael Stifel Center Jena Member of Educational Advisory Board Spectronet (since 2008), Technical Committee Deutsche Arbeitsgemeinschaft Mustererkennung (since 2015), Member of Scientific Advisory Board, Jenoptik AG (since 2016) Faculty Member IMPRS gBGC, IDiv, Jena School of Microbial Communication, Abbe School of Photonics

Links to „Computer Science meets Ecology“ Continuous observations from different sensors are possible today to monitor the ecosystem of our planet Huge amount of data prohibits manual analysis, while selective analysis leads to bias in the results Automatic monitoring by computer vision and machine learning methods might lead to deeper insight into the processes while reducing manual effort be an important aspect of data modeling life cycle allow detection of relevant, surprising, novel aspects in/of the data Current activities: part of BioMD, H2020 BACI, and several other collaborations in biodiversity research Challenging real-world application to apply, improve, and develop computer vision and machine learning methods