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CNI-Alumni receives the Hans Uhde Award 2025

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© thyssenkrupp Uhde GmbH
Rektor Prof. Manfred Bayer (3.v.l.) und Guido Baranowski von der Gesellschaft der Freunde der TU Dortmund (r.) gratulierten den Preisträgern, u.a. NIls Altenburg (1.v.l.)
Nils Altenburg was awarded the Hans Uhde Prize for his master’s thesis on the use of machine learning for 6G network planning.

In early May, the Hans Uhde Foundation awarded the Hans Uhde Prize to four graduates of TU Dortmund University in recognition of their outstanding academic achievements. Graduates of the University of Applied Sciences (FH) Dortmund and an employee of thyssenkrupp Uhde GmbH were also honored during the ceremony.

Dr. Tim-Philip Eisenhardt, Head of Human Resources at Thyssenkrupp Uhde and Site Manager in Dortmund, and Professor Manfred Bayer, Rector of TU Dortmund University, welcomed this year’s award recipients. The event also featured a talk by Maximilian Spiekermann from the start-up “Simplyfined,” a spin-off of TU Dortmund. He presented how the young company aims to optimize plant oils into bio-based platform chemicals, thereby opening new paths for sustainable products in the chemical industry.

Nils Altenburg from the Faculty of Electrical Engineering and Information Technology received the award for his thesis on “Machine Learning-Enabled Imputation of Channel Measurements for 5G Connectivity Maps.” CNI congratulates Nils Altenburg for his achievement and wish him all the best for the future!

Following the Master thesis Nils Altenburg co-authored together with his supervisors a paper on results based on his Master thesis and subsequent work in the context of the 6G research hub 6GEM:

  • N. Altenburg, H. Schippers, M. Geis, C. Wietfeld, "REMIBRANDT: Imputing Radio Environmental Maps for Safety-Critical Applications with Machine Learning," in IEEE Globecom Workshops (GC Wkshps): Workshop on Propagation Channel Models and Evaluation Methodologies for 6G, Cape Town, South Africa, December 2024. [pdf] [Details]

The Hans Uhde Prize was awarded to graduates also from the Faculties of Computer Science, Biochemical and Chemical Engineering, Electrical Engineering and Information Technology, and Mechanical Engineering. Jan Phillip Detke from the Faculty of Mechanical Engineering was honored for his work on “Theoretical and Experimental Investigation of Atomized Liquids for Cooling in Screw Compressors.” Felix Stegmaier from the Faculty of Computer Science received the prize for his research on “Inter-procedural Static Analysis for Unsafe Rust using PhASAR.” Reghuram Venugopal from the Faculty of Biochemical and Chemical Engineering was awarded for his thesis titled “Uncertainty Quantification of Surrogate Models for Robust Model Predictive Control.”

 

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