Dipl.-Ing. Daniel Seifert

Research associate

Biography

Daniel Seifert received the Dipl.-Ing. degree in Electrical Engineering with major in Communications Engineering from Technische Universität Dresden in 2021. During his studies he spent two semesters abroad at the Universitat Politècnica de Catalunya (UPC) in Barcelona. After his graduation he worked as a software engineer at NI (National Instruments) where he supported the development of a 5G NR testbed and a research initiative on machine learning algorithms for future 6G communication systems. In June 2023 he joined the Chair of Information Theory and Machine Learning as a research associate and PhD student.

Projects

• 6G-life - Digitale Transformation und Souveränität zukünftiger Kommunikationsnetze (Teilprojekt) ( - )

Theses

• Diploma Thesis
  Synchronization in Communications Systems with 1-bit Quantization and Oversampling
  Vodafone Stiftungslehrstuhl Mobile Nachrichtensysteme (Technische Universität Dresden), May 2021
• Student Work
  Advanced LDPC Codes for Multi-Connectivity in Wireless LAN
  Vodafone Stiftungslehrstuhl Mobile Nachrichtensysteme (Technische Universität Dresden), August 2018

Supervised Theses

Student Projects and Bachelor Theses

• Sophian Romdhani
  Skalierbare Schätzung der Transinformation mittels Normalizing Flows
  August 2024