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IEET > Staff > Research Assistants > Finn Nußbaum, M.Sc.

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

to the project page

Publications

TUHH Open Research (TORE)

2024

2023

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Constraint Satisfaction Problems (HÜ)
Subtitle:
This course is part of the module: Constraint Satisfaction Problems
Semester:
SoSe 24
Course type:
Exercise
Course number:
lv3003_s24
Lecturer:
Prof. Dr. Antoine Mottet
Description:
This course gives an introduction to the topic of constraint satisfaction problems and their complexity. It will cover the basics of the theory such as the universal-algebraic approach to constraint satisfaction and several classical algorithms such as local consistency checking and the Bulatov-Dalmau algorithm. We will finally discuss the recent research directions in the field.Educational Objectives: After taking part successfully, students have reached the following learning results Professional Competence:- Knowledge:* Students can describe basic concepts from the theory of constraint satisfaction such as primitive positive formulas, interpretations, polymorphisms, clones* Students can discuss the connections between these concepts* Students know proofs strategies and can reproduce them- Skills:* Students can use CSPs to model problems fromcomplexity theory and decide their complexity using methods from the course.
Performance accreditation:
m1812-2021 - Constraint Satisfaction Problems<ul><li>p1803-2021 - Constraint Satisfaction Problems: mündlich</li></ul>
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: Theoretische Informatik (E-EXK6)
Registered participants in Stud.IP: 1

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.

TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 22a
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
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