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Institute of Electrical Power and Energy Technology
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IEET > Staff > Research Assistants > Leon Maximilian Helmich, M.Sc.

Leon Maximilian Helmich

M.Sc.
Research Assistant

Contact

Leon Maximilian Helmich
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 22a,
21079 Hamburg
Building Harburger Schloßstraße 22a, Room 2.005
Phone: +49 40 42878 2379
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Research Project

iTherNet
Intelligent Thermal Networks - New cooling technologies and energy-optimized operating concepts

iTherNet

Intelligent Thermal Networks - New cooling technologies and energy-optimized operating concepts

 Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2020 - 2023

to the project page

Publications

TUHH Open Research (TORE)

2023

2021

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Seminare.EIM: Introduction to Deep Learning (DSBS, CSMS, IIWMS, TMBS, IMPICS)
Semester:
SoSe 24
Veranstaltungstyp:
Seminar (Lehre)
DozentIn:
Dr. rer. nat. Pradeep Banerjee
Beschreibung:
Deep Learning is one of the most vibrant areas of modern machine learning, offering one of the most promising routes to advancing Artificial Intelligence (AI). Deep Learning systems are reshaping the AI landscape across various fields, including language comprehension, speech and image recognition, and autonomous driving. This seminar covers deep neural networks basics and their applications in various AI tasks. We will explore several key paradigms related to expressivity, optimization and generalization properties of modern deep learning systems. Students will gain proficiency in Deep Learning, enabling them to apply it to different scenarios and comprehend current literature in the field.
TeilnehmerInnen:
This seminar is aimed at all Bachelor- and Master- level students in the Informatik and the Techno-Mathematik courses. A maximum of 12 students can participate in the seminar.
Voraussetzungen:
As a prerequisite, this seminar will assume familiarity with basic calculus, linear algebra, and probability. Familiarity with a programming language such as Python is desirable.
Lernorganisation:
The seminar is divided into six blocks (following an introductory session), each lasting two weeks. Every block consists of the following components: * Week 1: Preparation of a presentation using prescribed sources (book chapters, video lectures, scientific articles). * Week 2: Presentations by 2 participants, each lasting 25 minutes based on a topic assigned to each participant in the first session of the seminar.
Bereichseinordnung:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
beteiligte Institute: Institut für Data Science Foundations (E-21)
In Stud.IP angemeldete Teilnehmer: 9
Anzahl der Dokumente im Stud.IP-Downloadbereich: 5

Supervised Theses

ongoing
completed
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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