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Daniel Külzer, M.Sc. (TUM)


Daniel Külzer was born in Munich, Germany, in 1994. He received his B.Sc. and M.Sc. in Electrical Engineering and Information Technology in 2016 and 2018, respectively, from the Technical University of Munich, Germany. In 2018, he was also awarded an engineer’s degree (similar to an M.Sc. in Engineering) from Télécom Paris as part of a double degree program. Besides a one-year stay in France, he studied for one semester at the University of Illinois at Urbana-Champaign, United States, in 2015.

Since 2018, he is working at BMW Group in Munich, Germany, developing connectivity solutions for autonomous driving. There he is involved in national and international research projects for vehicle-to-vehicle and vehicle-to-infrastructure communication.

He is currently working towards the Ph.D. degree under the supervision of Prof. Sławomir Stańczak. His research interests include network optimization techniques, particularly predictive resource allocation, and machine learning for Quality of Service prediction and provisioning in the context of vehicular communication.



Find me also on



D.F. Külzer, F. Debbichi, S. Stanczak and M. Botsov (2021). On Latency Prediction with Deep Learning and Passive Probing at High Mobility. IEEE International Conference on Communications (ICC) 2021, Montreal, Canada (virtual conference), in June 14-23, 2021

D.F. Külzer, M. Kasparick, A. Palaios, R. Sattiraju, O. D. Ramos-Cantor, D. Wieruch, H. Tchouankem, F. Göttsch, P. Geuer, J. Schwardmann, G. Fettweis, H.D. Schotten and S. Stanczak (2021). AI4Mobile: Use Cases and Challenges of AI-based QoS Prediction for High-Mobility Scenarios. IEEE Vehicular Technology Conference (VTC Spring) 2021, April 25-28, in Helsinki, Finland

D.F. Külzer, S. Stanczak and M. Botsov (2020). Novel QoS Control Framework for Automotive Safety-Related and Infotainment Services. IEEE Wireless Communications and Networking Conference 2020, May 25-28, Virtual Conference

D.F. Külzer, S. Stanczak, R. L.G. Cavalcante and M. Botsov (2020). Predictive Resource Allocation for Automotive Applications using Interference Calculus. IEEE Globecom 2020, December 7-11, in Taipei, Taiwan

R. Gangula, D. Gesbert, D.F. Külzer and J.M. Franceschi (2018). A landing spot approach for enhancing the performance of UAV-aided wireless networks. IEEE International Conference on Communications Workshops (ICC Workshops), May 20-24, 2018, in Kansas City, United States

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Daniel Külzer, M.Sc.
BMW Group
Petuelring 130
80788 München