Dr. Maximilian T. Fischer

About

Dr. Maximilian T. Fischer is a Teaching Fellow and Postdoctoral Research Fellow in the Data Analysis and Visualization group of Daniel Keim at the University of Konstanz, which he joined in late 2019. His research interests include the interactive visualization and analysis of communication through machine learning and XAI, ethical and privacy considerations in intelligence, as well as multivariate investigative analytics through temporal hypergraph modeling. Further, he is interested in infrastructure analysis regarding energy, transport, and communication networks.

Since October 2023, he serves as a Teaching Fellow (Lehrvertretung) as interim adjunct replacement for the professorship "Data Analysis and Visualization" in the programme "Freedom for creativity" as part of the Excellence Cluster Initiative.

Research Interests

  • Communication Analysis and Visual-Interactive Analysis of Communication
  • (Temporal) Hypergraphs and Visual Analytics of Temporal Hypergraph Models
  • Energy and Mobility Transition

Volunteering / Invited /Elected Positions

Invited Talks

Teaching

Current teaching: overview in ZEuS

2023/2024 Winter Data mining: basic concepts
  Geographic information systems
  Data visualization: advanced topics
  Seminar data analysis and visualization
  Applications for powerwall and virtual reality environments
  Research seminar data mining & information visualization (PhD seminar)
2023 Summer Multimedia Retrieval: Basic Concepts
2022/2023 Winter Geographic Information Systems
2022 Summer Multimedia Retrieval: Basic Concepts
2021/2022 Winter Geographic Information Systems
  Seminar: Data Analysis and Visualization (Bachelor/Master)
2021 Summer Seminar: Data Analysis and Visualization (Bachelor/Master)
2020/2021 Winter Operating Systems
  Seminar: Data Analysis and Visualization (Bachelor/Master)
2020 Summer Computational Methods for Document Analysis
  Seminar: Visual Data Exploration (Bachelor/Master)
2018 Summer Database Systems
   

Research Projects

PEGASUS BMBF 13N15268: Zivile Sicherheit – Schutz vor organisierter Kriminalität II - Polizeiliche Gewinnung und Analyse heterogener Massendaten zur Bekämpfung organisierter Kriminalitätsstrukturen
DAAD LIAISON DAAD 57697521: LIAISON - Collaborative data science Madagascar-Konstanz
SGC Energiemonitoring BMWSB Smart Green City (Smart Cities) - Energiemonitoring im Quartier
SGC Assistenzsystem Bodenseeschifffahrt BMWSB Smart Green City (Smart Cities) - Ökonomisches Assistenzsystem für die Bodenseeschifffahrt
DAYDREAMS EU H2020-JTI-Shift2Rail-2020: Development of prescriptive AnalYtics baseD on aRtificial intElligence for iAMS
AIDA-TI BMBF: Establishment of German-Ukrainian cores of excellence in Ukraine - DE/UA Center of Excellence for AI-aided Big Data Analysis and Transport Infrastructures
PRIMAGE EU H2020-EU.3.1.5.3 - Personalized Recommendations for Neurodegenerative Disease - Project PRIMAGE (PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers)
RPM-BW MSI-BW - Verwendung von digitalen Fernüberwachungs- und -Behandlungslösungen als wichtigen Baustein bei der Bekämpfung der COVID-19-Pandemie in Baden-Württemberg
ASGARD EU H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens, European Commission - Project ASGARD (Analysis System for Gathered Raw Data)

Publications