Finn Nußbaum

M.Sc.
Research Assistant

Contact

Finn Nußbaum, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.017
Phone: +49 40 42878 4092
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Research Project

KoLa
Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

KoLa

Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2026

Publications

TUHH Open Research (TORE)

2024

2023

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Architectures and Algorithms for Deep-Learning Acceleration
Semester:
WiSe 23/24
Course type:
Lecture
Lecturer:
Prof. Dr.-Ing. Görschwin Fey, M. Sc. Lutz Schammer, Dr. Lennart Bamberg
Description:
Teaching Person: Dr. Lennart Bamberg (NXP Semiconductors, Hamburg) Dr. Bamber is a Senior Principal AI/ML Architect at NXP Semiconductors in Hamburg, Germany. He is involved in research and design of the most recent architectures for accelerating machine learning applications. Content: Students get a first-hand insight into most recent architectures and advances for hardware acceleration in machine learning. Without such acceleration, newest developments would not be affordable as standard hardware is too power-hungry and does not deliver the computational performance needed.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Stud.IP informationen about this course:
Home institute: Institut für Eingebettete Systeme (E-13)
Registered participants in Stud.IP: 81
Documents: 12

Supervised Theses

ongoing

2024

  • Ahmed, Taha (2024). Development of an iterative multi-agent coordination framework for congestion prevention in low voltage grids.

  • Busch, Marcel (2024). Entwicklung eines Netzmodells zur szenarienbasierten Untersuchung von Engpässen in heutigen und zukünftigen städtischen Verteilnetzen.

  • Lindner, Joost (2024). Entwicklung einer probabilistischen Lastprognose für die Niederspannungsebene elektrischer Verteilnetze.

  • Möller, Julius (2024). Untersuchung von Kennzahlen zur Bewertung der Diskriminierungsfreiheit von Engpassmanagementmaßnahmen.

  • Wilke, Jan Jakob (2024). Definition leistungsbasierter Netzregeln zur Engpassvermeidung in elektrischen Verteilnetzen.

completed

2024

  • Ming, Zhao (2024). Conceptual Design for a grid demonstrator for teaching purposes and development of a suitable distribution grid simulation.

2023

  • Kock am Brink, Jonas (2023). Entwicklung einer Engpassprognose für elektrische Verteilnetze mittels probabilistischer Verfahren.