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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
Seminare.EIM: Embedded GPUs in Space and Automotive Systems (Bachelor/Master - CS, DS, IIW, IMPMM, IMPICS)
Semester:
SoSe 23
Veranstaltungstyp:
Seminar (Lehre)
DozentIn:
Prof. Dr. Sohan Lal
TeilnehmerInnen:
Course Description: Welcome to the seminar on embedded GPUs in space and automotive systems! In this seminar, we will dive into the latest research published in top conferences and journals on this topic. You will have the opportunity to select 2-3 papers based on your interests, read and critically analyze them, and present your findings to the class. Through this process, you will also gain experience in writing a review paper in the field of computer architecture. Our evaluation will be based on your presentation and review paper, as well as your participation in class discussions. We strongly encourage active participation, as this will not only enhance your learning but also contribute to your final grade. By the end of the seminar, you should have a solid understanding of the latest advancements in embedded GPUs and their applications in space and automotive systems. Additionally, you will have honed your analytical and communication skills, which will be valuable in your future academic and professional endeavors.
Voraussetzungen:
An introductory module on basic computer architecture.
Lernorganisation:
In-class Presentation: A list of starting papers for each topic along with a list of top conferences in computer architecture will be given. You can choose the second and third papers independently, however, it is suggested to discuss the selection of papers with the instructor. When you present papers, be prepared to answer the questions from the instructor and fellow students. Review: A review paper about the selected papers will be written. The structure of the review paper will be discussed in the class. Each student will review a paper of a fellow student. Course Outcome: After the course completion, you will have a solid understanding of the latest advancements in embedded GPUs and their applications in space and automotive systems. Moreover, the participants can expect to have acquired the necessary knowledge and skills to understand and critically analyze the research in the field of computer architecture.
Leistungsnachweis:
Papers presentation: 50% Review paper: 50% The criteria for the evaluation of presentations and review papers will be discussed in the class.
Bereichseinordnung:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Sonstiges:
Resources (Optional)
David B. Kirk, Wen-mei W. Hwu, Programming Massively Parallel Processors - A Hands-on Approach, Second Edition (Book)
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
beteiligte Institute: Institut für Massively Parallel Systems (E-EXK5)
In Stud.IP angemeldete Teilnehmer: 11
Anzahl der Dokumente im Stud.IP-Downloadbereich: 4

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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