
Christian Tobias Veihelmann
Research associates Chair of Smart Electronics and Systems
Address
Cauerstraße 7-991058 Erlangen
Contact
- Email: tobi.veihelmann@fau.de
Tobias graduated with honors with a master’s degree in Information Systems in June 2021 at the University of Bamberg, building on his bachelor’s degree in Industrial Engineering and Management from the FAU. After having gained practical experience in industrial companies, he joined the Institute in October 2022. His current research focuses on new approaches to energy transition targeting smart cities.
Since 10/2022 Research Associate and PhD Student at Institute for Smart Electronics and Systems, 10/2018-06/2021 M. Sc. in Information Systems at University of Bamberg (Majors: Data Analytics/Machine Learning, Energy Informatics; Master’s Thesis: “Social norms and their influence on learning behavior with online content – Results of a randomized controlled field trial”), 10/2013-08/2017 B. Sc. in Industrial Engineering and Management at FAU Erlangen-Nürnberg (Majors: Forming Technology, Plastics, Sustainability Management; Bachelor‘s Thesis: “Engagement der Automobilhersteller beim Ausbau der Ladeinfrastruktur – Perspektiven des Geschäftsmodell-, Stakeholder- und Coopetition-Konzepts), 02/2016-07/2016 Study Abroad Program at RMIT University in Melbourne.
Resilient energy systems, Smart Cities and renewable energy, IoT Technologies for Smart Cities
6G-ANNA
A Feature Pyramid Network Based Detection Approach for Multi-Scale Target Detection in Stationary Short-Range Radar
IEEE Wireless and Microwave Technology Conference (WAMICON) (Cocoa Beach, Florida, 14. April 2025 - 15. April 2025)
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Dual-Task Supervised Learning for Distributed Spectrum Monitoring Applications
EuCNC & 6G Summit (Poznan, Poland, 3. June 2025 - 6. June 2025)
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German Perspective on 6G – Use Cases, Technical Building Blocks and Requirements Insights by the 6G Platform Germany
Erlangen: FAU University Press, 2024
(FAU Studien aus der Elektrotechnik, Vol.28)
ISBN: 978-3-96147-797-5
DOI: 10.25593/10.25593/978-3-96147-797-5
URL: https://open.fau.de/handle/openfau/33572
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How Connected Cars Can Improve Solar Forecasting - Expanding the Scale of Local Sensor Networks
41st European Photovoltaic Solar Energy Conference and Exhibition (Vienna, 23. September 2024 - 27. September 2024)
DOI: 10.4229/EUPVSEC2024/4CO.9.6
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How Connected Cars Could Capture Cloud Dynamics for Solar Forecasting—Evidence from Two Simulation Scenarios
In: Solar RRL (2024)
ISSN: 2367-198X
DOI: 10.1002/solr.202400470
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Using Probe Counts to Provide High-Resolution Detector Data for a Microscopic Traffic Simulation
In: Vehicles 6 (2024), p. 747-764
ISSN: 2624-8921
DOI: 10.3390/vehicles6020035
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Leveraging gradient-boosted trees to combine FFT, correlation and Fréchet-distance features for clear-sky detection
40th European Photovoltaic Solar Energy Conference and Exhibition (Lissabon, 18. September 2023 - 22. September 2023)
DOI: 10.4229/EUPVSEC2023/4DV.4.27
URL: https://userarea.eupvsec.org/proceedings/EU-PVSEC-2023/4DV.4.27/
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Leveraging social norms to encourage online learning: Empirical evidence from a blended learning course
2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020
URL: https://www.scopus.com/record/display.uri?eid=2-s2.0-85103451819&origin=inward
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No awards found.
Digital Transformation in the Energy and Mobility Sector (DITEM)