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TUHH > Schools > Electrical Engineering, Computer Science and Mathematics
16.05.2023

Jun.-Prof. Pierre-Alexandre Murena, Human-Centric Machine Learning (E-EXK7)

We welcome Jun.-Prof. Murena to our School of Study and look forward to a successful cooperation!
12.04.2023

Future Lecture & EIM Colloquium

In the context of the EIM Colloquium and the Future Lectures, we are pleased to to announce: Inaugural Lecture "Quantum Computing - Goals and Facts" Prof. Martin Kliesch With the participation of: Frank Fehlau, Fujitsu Christian Wiebus, NXP Semiconductors
05.04.2023

Congratulations

Maximilian Stark received the Tesat-Spacecom Science Award (2000 EUR) for his Ph.D. thesis „Machine Learning for Reliable Communication Under Coarse Quantization” which was done at the Institute of Communications (E-8).
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05.04.2023

Herzlichen Glückwunsch

SAC 2023 Best Paper Award Distributed Systems for Michael Sober, Max Kobelt, Giulia Scaffino, Dominik Kaaser, Stefan Schulte (E-19) for the paper "Distributed key Generation with Smart Contacts using zk-SNARKs".
31.03.2023

Retirement Prof. Karl-Heinz Zimmermann

We thank Prof. Zimmermann for his many years of work at the Institute of Embedded Systems in the field of algebraic engineering. Furthermore, for his engagement as head of the study program Computer Science and in the selection committee.
14.03.2023

Congratulations

Denise-Phi Kuu receives the KuVS Award 2022 for her bachelor thesis "Data Poisoning Detection in Federated Learning" (Institute of Data Engineering, Prof. Schulte and Dr. Schallmoser). The prize will be officially awarded at NetSys next September in Potsdam.
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06.03.2023

GI-Theorietag 2023

84th Workshop on Algorithms and Complexity
26.02.2023

Congratulations

Ikrom Akramov (E-10), took first place with his teammates at the SIAM Conference on Computational Science and Engineering hackathon in Amsterdam. They developed an algorithm to control autonomous robots in a shipping center based on traffic circles.
02.02.2023

Congratulations

DesignCon 2023 Early-Career Best Paper Award for Morten Schierholz (E-18), Ihsan Erdin (Celestica Inc.), Jayaprakash Balachandran(Cisco Inc.), and Christan Schuster for the conference contribution „Data-Efficient Supervised Machine Learning Technique for Practical PCB Noise Decoupling“.
25.01.2023

Woran forscht denn das "Institut für Data Engineering"?

Prof. S. Schulte, Dr. Schallmoser Ringvorlesung für Studierende Zoom-Meeting
TU Hamburg
Hamburg University
of Technology
Am Schwarzenberg-Campus 1
21073 Hamburg
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