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Kick-off event SAN „Dimensions of Artificial Intelligence“

16th July 2021 // 1:30 to 4:00 p.m.


Program as of July 14, 2021

1:30 p.m. PLENUM

1:15 p.m. Admission

1:30 p.m. Welcome Addresses

  • Prof. Ursula M. Staudinger (Chairwoman of the Board DRESDEN-concept; Rector TU Dresden)
  • Prof. Gerhard Rödel (Managing Director DRESDEN-concept)

An Exhibition Preview: Artificial Intelligence. Machine Learning Human Dreams

  • Yasemin Keskintepe (Curator, DHMD)

1:50 p.m. Map AI in Dresden

  • Prof. Wolfgang Nagel: ScaDS.AI
    Center for Information Services and High Performance Computing (ZIH), TU Dresden
  • Dr. Guido Juckeland: Machine Learning Community
    Head Computational Science, HZDR
  • Prof. Wolfgang Oertel: Saxony5 Co-Creation Lab Künstliche Intelligenz (CCL-KI)
    Professorship Computer Graphics, HTW
  • Joshwa Pohlmann: Interactive Science Communication: The Role of Data in AI
    Barkhausen Institut


2:20 p.m. Framing Lectures

  • Prof. Anne Lauber-Rönsberg, David Linke: A Legal Framework for AI
    Chair of Civil Law, Intellectual Property, Media and Data Protection Law, TU Dresden
  • Prof. Lutz Hagen: „Schaufler Lab@-TU Dresden: Analyzing AI as a Driver and an Effect of Societal Change
    Chair of Communication – Economic and Political Communication, TU Dresden
  • Prof. Ingo Röder: Learning, Explaining, Understanding – Opportunities and Limitations of Computational Methods including Artifical Intelligence
    Chair for Medical Biometry and Statistics, TU Dresden
  • Prof. Dietrich Kammer: Illustrating the Black Box with Interactive Information Visualizations
    Professorship Visual Engineering, HTW

2:50 p.m. short break and access to breakout-sessions


short lectures à 5 min.

Participants can attend one of the following three breakout sessions. The assignment will take place during the kick-off event on July 16.

Life Sciences & Health Care


Prof. Wolfgang Nagel
Center for Information Services and High Performance Computing (ZIH), TU Dresden

Dr. Alexander Croy
Institute for Materials Science and Max Bergmann Center of Biomaterials, TU Dresden

  • Prof. Gianaurelio Cuniberti: Digitization of Smell
    Chair of Materials Science and Nanotechnology, TU Dresden
  • Gina Glock: Let’s Talk Job Autonomy! On the Relationship between AI, Work & Strain
    Schaufler Kolleg@TU Dresden
  •  Prof. Michael Schröder: AI for Health: Machine Learning in Drug Discovery
    Professor in Bioinformatics, TU Dresden
  •  Dr. Peter Steinbach: Robust Training, Adversarial Examples and What it Tells us About Modern Medical ML Classifiers
    Helmholtz AI Consultant Team, HZDR

Material & Environmental Sciences


Prof. Olaf Kolditz
Chair of Applied Environmental Systems Analysis, TU Dresden
Department of Environmental Informatics, UFZ

Dr. Hendrik Herold
Research Area “Spatial Information and Modelling”
Leibniz Institute of Ecological Urban and Regional Development (IOER)

  • Prof. Jochen Fröhlich: Applications of Artificial Intelligence for Developing Models in Fluid Mechanics
    Chair of Fluid Mechanics, TU Dresden
  • Attilia Cangi, Ph.D.: Data-driven Surrogate Modeling of Matter under Extreme Conditions
    Center for Advanced Systems Understanding (CASUS), HZDR
  • Dr. Nico Hoffmann: Surrogate Models & Inverse Problems
    Institute of Radiation Physics, HZDR
  • Dr. Lukas Oehm: Dimensions of Artificial Intelligence in Food Production
    Fraunhofer Institute for Process Engineering and Packaging IVV
  • Tobias Steege: Predicting laser-induced functional surface textures: A comparison of random forest and neural networks
    Microtechnology, Fraunhofer Institute for Material and Beam Technology IWS

Mobility & Transportation


Prof. Pascal Kerschke
Chair of Big Data Analytics in Transportation, TU Dresden

Dr. Sunna Torge
Center for Information Services and High Performance Computing (ZIH), TU Dresden

  • Dr. Frank Dressel: Explainability when Using AI Models – Trace Data with Provenance
    Department Software Methods, DLR Institute of Software Methods for Product Virtualization
  • Pia Hanfeld, Nishant Kumar: Adversarial Attacks and OOD samples
    Autonomous Vehicles, Digital Health, Center for Advanced Systems Understanding (CASUS), HZDR
  • Prof. Ostap Okhrin: Reinforcement Learning
    Chair of Econometrics and Statistics, esp. in the Transport Sector
  • Prof. Florian Schmidt: Crowdsourced Production of AI Training Data
    Professorship Design Concept and Media Theory, HTW

3:45 p.m. PLENUM brief insight into the sessions and next steps