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IEET > Staff > Research Assistants > Marwan Mostafa, M.Sc.

Marwan Mostafa

M.Sc.
Research Assistant

Contact

Marwan Mostafa, M.Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung/ by appointment
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C3 0.013
Phone: +49 40 42878 4097
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Research Project

iNeP
Integrated network planning for the electricity, gas and heat sectors

iNeP

Integrated network planning for the electricity, gas and heat sectors

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2026

to the project page

Publications

TUHH Open Research (TORE)

2023

2022

2021

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Algorithm Engineering
Semester:
WiSe 22/23
Veranstaltungstyp:
Vorlesung (Lehre)
Veranstaltungsnummer:
lv3089_w22
DozentIn:
Prof. Dr. Matthias Mnich, M. Sc., Dr. Esther Galby
Beschreibung:
This course provides an introduction to Algorithm Engineering, a field which combines Al- gorithm Theory and Experimental Algorithmics. The course will cover the key concepts of Algorithm Engineering including modelling of complex problems, algorithm design, analysis of algorithms, implementation techniques and experimental methodology. Additionally, the course will cover the best practical methods to solve classical combinatorial optimisation problems, such as (mixed integer) linear programming, SAT, Maximum Independent Set, etc. It will also introduce software tools (e.g. ortools, Gurobi) and libraries (e.g. LEDA) used in practice to solve these optimisation problems.
Voraussetzungen:
Programming skills (C++ or Python), Algorithms and Data Structures, Basic probability theory, Graph Theory and Optimisation.
Leistungsnachweis:
written exam
Bereichseinordnung:
Studiendekanat Elektrotechnik, Informatik und Mathematik
ECTS-Kreditpunkte:
4
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Algorithmen und Komplexität (E-11)
In Stud.IP angemeldete Teilnehmer: 10
Anzahl der Dokumente im Stud.IP-Downloadbereich: 8

Supervised Theses

ongoing
completed

2022

  • Barthelme, J. (2022). Technisch-ökonomische Systemmodellierung und -anlayse eines urbanen Quatiers hinsichtlich des Einsatz von Wasserstoff als primärer Energieträger.

TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 36
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
Fax : +49 40 42878 2382
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