A Convolution Neural Network Based Displaced Vertex Trigger for the Belle II Experiment. - Kai Lukas Unger; Jürgen Becker 001; Christian Kiesling; Yichuan Ma; Felix Meggendorfer; Marc Neu; Elia Schmidt; Ulrike Zweigart (ARC, 2023)

A Scalable and Cost-Efficient Antenna Testbed Using FPGA-Server Compound Structures for Prototyping 6G Applications. - Marc Neu; Christian Maximilian Karle; Benjamin Nuss; Patrick Gröschel; Jürgen Becker 001 (DCOSS-IoT, 2023)

ReLoDAQ: Resource-Efficient, Low-Overhead 200 Gbits-1 Data Acquisition System for 6G Prototyping. - Christian Maximilian Karle; Marc Neu; Johannes Pfau; Jan Sperling; Jürgen Becker 001 (FCCM, 2023)

A Unified SoC Lab Course: Combined Teaching of Mixed Signal Aspects, System Integration, Software Development and Documentation. - Johannes Pfau; Richard Leys; Marc Neu; Alexey Serdyuk; Ivan Peric; Jürgen Becker 001 (ISCAS, 2023)

Modular Hardware Design for High-Performance MIMO-Capable SDR Systems to Accelerate 6G Development. - Christian Maximilian Karle; Marc Neu; Benjamin Nuss; Jiayi Chen; Lukas Witte; Andre Scheder; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

Scalable Multi-Level Synchronization Technique of Distributed Multi-RFSoC-Server Systems for 6G. - Christian Maximilian Karle; Marc Neu; Benjamin Nuss; Lukas Witte; Andre Scheder; Eva Waldner; Ema Shkurtaj; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

A Dynamically Pipelined Dataflow Architecture for Graph Convolutions in Real-Time Event Interpretation. - Marc Neu; Christian Maximilian Karle; Patrick Schmidt; Julian Höfer; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

Real-Time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics. - Marc Neu; Jürgen Becker 001; Philipp Dorwarth; Torben Ferber; Lea Reuter; Slavomira Stefkova; Kai Lukas Unger (Comput. Softw. Big Sci., 2024)