Dr. Paul Tremper

Karlsruhe Institute of Technology (KIT)
Campus Süd
Institute of Telematics
Chair for Pervasive Computing Systems / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe
Building 07.07, Room 204
email: tremper(at)teco.edu
phone: +49 721 608-41708

Short CV

  • since 2019           PostDoc at TECO
  • 2018                     Dr. rer. nat. Dissertation in Theoretical Particle Physics
  • 2014 – 2018        PhD student at TTP (Institute for Theoretical Particle Physics) at KIT
  • 2014                     Graduation with Diplom (Master equivalent) from Karlsruhe Institute of Technology (KIT)
  • until 2014            Student of Physics at Karlsruhe Institute of Technology (KIT)


  • since 2020           HEPTA
  • 2020                     KI-driven Autocalibration of a heterogeneous sensor network
  • 2019 – 2020        SmartAQnet

Research Interests

  • Environmental Sensing
  • Gaussian Processes / Bayesian Inference
  • Dispersion Modelling
  • Interdisciplinary Application of Concepts of Theoretical Physics

Bachelor- and Master’s Theses

Open Topics

Current Theses

Finished Theses

  • PDE-based Deep Learning for Sensor Value Interpolation & Calibration – Air Pollution Use Case (Anastasia Evsyukova, Master’s thesis 2021)
  • Air quality weighed traffic routing based on AI driven simulation interpolation using landuse regression feature engineering (Julian Janssen, Master’s thesis 2021)
  • Gamified Mobile Air Quality Sensing with a Tangible Sensor Toy – Design, Implementation and Evaluation of a Tangible Sensor Toy (Farima Narimani Karahvi, Master’s thesis, 2019)
  • Gamified Mobile Air Quality Sensing with a Tangible Sensor Toy – Design, Implementation and Evaluation of a Gamified Sensing App (Arash Torabi, Master’s thesis, 2019)

Mobile Computing and Ubiquitous Technologies Seminar

Past Seminar Topics

  • Gaussian Process Regression SS2023, Seminar Proceedings
  • Psychological Aspects of Presenting Air Quality Data (Nuoyao Ye, SS21)
  • Practical Implicit Learning through Gamification (Felix Küper, WS2021)
  • Haptische Metronome in Musik und Medizin (Lisa Weigl, SS2020)
  • Supporting Meditative Awareness through Affordable Wearables (Fabian Bickelmann, SS2020)
  • Supporting Meditative Awareness through Neurofeedback Wearables (Vincenzo Pace, WS1920)
  • Supporting Drum Learning/Playing through the use of Haptic Wearables (Simon Pfeifer, WS1920)
  • Explainable Deep Neural Networks (Anna Carolina Steyer, SS19, Seminar Proceedings)


SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors
Li, C.; Budde, M.; Tremper, P.; Schäfer, K.; Riesterer, J.; Redelstein, J.; Petersen, E.; Khedr, M.; Liu, X.; Köpke, M.; Hussain, S.; Ernst, F.; Kowalski, M.; Pesch, M.; Werhahn, J.; Hank, M.; Philipp, A.; Cyrys, J.; Schnelle-Kreis, J.; Grimm, H.; Ziegler, V.; Peters, A.; Emeis, S.; Riedel, T.; Beigl, M.
2022. ProScience, 8. doi:10.14644/dust2021.001VolltextVolltext der Publikation als PDF-Dokument
Hochaufgelöste Erfassung der urbanen Feinstaubbelastung mittels Messnetz aus kostengünstigen Sensoren und numerischen Simulationen
Schäfer, K.; Budde, M.; Cyrys, J.; Emeis, S.; Gratza, T.; Grimm, H.; Hank, M.; Kowalski, M.; Pesch, M.; Peters, A.; Philipp, A.; Riedel, T.; Riesterer, J.; Schnelle-Kreis, J.; Tremper, P.; Uhrner, U.; Werhahn, J.; Ziegler, V.; Beigl, M.
2021. Gefahrstoffe, Reinhaltung der Luft, 81 (9-10), 353–361 
Adaptives luftqualitätsgewichtetes Fahrradrouting mittels Land-use Regression auf Basis offener Daten
Janßen, J.; Riedel, T.; Tremper, P.
2021. Workshop: 2. Workshop Künstliche Intelligenz in der Umweltinformatik (KIUI-2021), 321–331, Gesellschaft für Informatik (GI). doi:10.18420/informatik2021-026VolltextVolltext der Publikation als PDF-Dokument
Spatial Interpolation of Air Quality Data with Multidimensional Gaussian Processes
Tremper, P.; Riedel, T.; Budde, M.
2021. Workshop: 2. Workshop Künstliche Intelligenz in der Umweltinformatik (KIUI-2021), 269–286, Gesellschaft für Informatik (GI). doi:10.18420/informatik2021-022VolltextVolltext der Publikation als PDF-Dokument
Calibration of Low-Cost Particulate Matter Sensors with Elastic Weight Consolidation (EWC) as an Incremental Deep Learning Method
Schlund, R.; Riesterer, J.; Köpke, M.; Kowalski, M.; Tremper, P.; Budde, M.; Beigl, M.
2021. Science and Technologies for Smart Cities – 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings. Ed.: S. Paiva, 596–614, Springer International Publishing. doi:10.1007/978-3-030-76063-2_40
Low-Cost Sensing and Data Management in SmartAQnet
Budde, M.; Riesterer, J.; Köpke, M.; Tremper, P.; Riedel, T.
2019. Mid-term and 1st International Networking Workshop of the SmartAQnet Project : December 4th and 5th 2018, Munich. Ed.: M. Budde, 3, Karlsruher Institut für Technologie (KIT) VolltextVolltext der Publikation als PDF-Dokument

Publications – Physics