Logo Institute of Electrical Power and Energy Technology
Institute of Electrical Power and Energy Technology
Logo Institute of Electrical Power and Energy Technology
Institute of Electrical Power and Energy Technology
DE
EN
Search
DE
EN
Search
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 HS22a, Room 2.005
Phone: +49 40 42878 2379
Logo

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
Machine Learning in High-Frequency Technology and Radar (VL)
Untertitel:
This course is part of the module: Machine Learning in Electrical Engineering and Information Technology
Semester:
SoSe 24
Veranstaltungstyp:
Vorlesung (Lehre)
Veranstaltungsnummer:
lv3007_s24
DozentIn:
Prof. Dr. Alexander Kölpin
Beschreibung:

Modern high-frequency systems benefit massively from machine learning methods. In applications where rule-based algorithms reach their limits, these data-driven approaches enable a significant increase in resolution and accuracy. This is exemplified by current research challenges, namely for the classification of targets in autonomous driving radar systems, radar-based gesture recognition for smart home applications and device control as well as in the field of medical technology for the contactless monitoring of human vital signs.
Leistungsnachweis:
m1785-2022 - Machine Learning in Electrical Engineering and Information Technology<ul><li>p1778-2022 - Machine Learning in Electrical Engineering and Information Technology: mündlich</li></ul>
ECTS-Kreditpunkte:
1
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Hochfrequenztechnik (E-3)
In Stud.IP angemeldete Teilnehmer: 1

Supervised Theses

ongoing

2024

  • Eberhard, F. (2024). Estimating AC and DC losses in the inductor of a switch mode power supply..

completed
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
Links
Map and Directions
Data Privacy
Imprint