Foto
  • Dr. Thomas Burghardt
  • thomas [dot] burghardt [at] informatik [dot] uni-leipzig [dot] de
  • Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Humboldstraße 25, 3. OG, 04105 Leipzig

About

  • since 2020/07: Research Associate at ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) Dresden/Leipzig
  • 2017/09 - 2020/06: Software Developer and Research Associate at Aalen University of Applied Sciences, Center for Industry 4.0
  • 2004/09 - 2017/08: Software Developer and Research Associate at Chemnitz University of Technology, Faculty of Economics and Business Administration, Professorship of Production and Industrial Management
  • Graduation: Dr. rer. pol., Chemnitz University of Technology
  • Diploma in Electrical Engineering, Baden-Württemberg Cooperative State University, Mannheim

Research Interests

  • Living Lab
  • Artificial Intelligence

Supervision of Thesis/Lab Projects (2021 - 2022)

  • BA: Rainer Hofmann, Softsensor für Anwendungen in Räumen (2021)
  • BA: Till Schultz, Analyse des Nutzerverhaltens auf der Social Media Plattform Twitter (2021)
  • BA: Maximilian Scheiber, Datenanalyse von standortbezogenen Twitter Daten (2021)
  • BA: Nadine Biedermann, Untersuchung einer IoT-Plattform (2021)
  • BA: Clemens Morgenstern, Analyse von BLE-Signalstärken und Ableitung von Handlungsempfehlungen für Demonstratoren (2022)
  • BA: Alwine Balfanz, Erstellung eines Physical Distancing Graph aus BLE-Signalstärken (2021)
  • BA: Lukas Reinhardt, Host Intrusion Detection System (2022)
  • BA: Jonas König, Model training of a simulated self-driving vehicle using an evolution-based neural network approach (2022)
  • Ongoing Thesis
  • Open Topics

Betreute Abschlussarbeiten (5)

Jahr Typ Student Titel Status
2024 M. Sc. Marcel Lehmann Data Augmentation for Ultrasonic data Running
2024 M. Sc. Georg Schneeberger End-to-End Reinforcement Learning Training of a Convolutional Neural Network to achieve an autonomous driving agent resilient to light changes Running
2024 B. Sc. Eric Schöbel KI-Klassifizierung menschlicher Posen in omnidirektionaler Kamera-Konfiguration mithilfe von Transfer Learning sowie Open-Source-Modellen und -Datensätzen Finished
2023 M. Sc. Maximilian Schaller Train an Agent to Drive a Vehicle in a Simulated Environment Using Reinforcement Learning Finished
2023 B. Sc. Merlin Flach Methods to Cross the simulation-to-reality gap Finished