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
Secure Software Engineering (VL)
Subtitle:
This course is part of the module: Secure Software Engineering
Semester:
SoSe 24
Course type:
Lecture
Course number:
lv2667_s24
Lecturer:
Riccardo Scandariato, Ina Weigl, Dr. Nicolás Díaz Ferreyra, Catherine Tony, Quang Cuong Bui, Emanuele Iannone
Description:
  • Secure software development processes and maturity models
  • Techniques to define security requirements
  • Techniques to create, document and analyse the design of secure applications
  • Threat and risk analysis techniques
  • Security code reviews
  • Program repair techniques for security vulnerabilities
  • Privacy engineering
Performance accreditation:
m1682-2021 - Secure Software Engineering<ul><li>p1632-2021 - Secure Software Engineering: Klausur schriftlich</li></ul><br>m1682-2023 - Secure Software Engineering<ul><li>p1632-2021 - Secure Software Engineering: Klausur schriftlich</li><li>vl439-2023 - Voluntary Course Work Secure Software Engineering - Subject theoretical and practical work: Subject theoretical and practical work</li></ul>
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: Institut für Software Security (E-22)
Registered participants in Stud.IP: 109
Documents: 17

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.