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Felix Schwinger received his master's degree in Computer Science in 2017 from RWTH Aachen University. He is working as a research assistant and PhD student at the Fraunhofer FIT research institute from 2017 to 2021 and the Chair for Computer Science i5 since October from 2019 to now. Research Topics: Travel Information Systems & Mobility as a Service Optimization and Evaluation of Novel Mobility Concepts using Agent-based Simulations Machine-learning and Data Science for public transportation systems  Paper Author's Version: Felix Schwinger, Clemens Frohnhofen, Jonas Wernz, Stefan Braun, Matthias Jarke. Combining Profile Similarity and Kalman Filter for Real-World Applicable Short-Term Bus Travel Time Prediction. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). [https://dbis.rwth-aachen.de/dbis/wp-content/uploads/2021/12/Hybrid.pdf] Jan Henrik Ziegeldorf, Jan Pennekamp, David Hellmanns, Felix Schwinger, Ike Kunze, Martin Henze, Jens Hiller, Roman Matzutt, and Klaus Wehrle. BLOOM: BLoom filter based oblivious outsourced matchings. BMC Medical Genomics, 10(Suppl 2), 07 2017. [https://dbis.rwth-aachen.de/dbis/wp-content/uploads/2021/12/zph17.pdf]