Secure Local Configuration of Intellectual Property Without a Trusted Third Party. - Nadir Khan; Arthur Silitonga; Brian Pachideh; Sven Nitzsche; Jürgen Becker 001 (ARC, 2019)

Neuromorphic Vision mit Spiking Neural Networks zur Sturzerkennung im betreuten Wohnen. - Sven Nitzsche; Brian Pachideh; Victor Pazmino Betancourt; Norbert Link; Christoph Schauer; Lukas Theurer; Valentin Haas; Philipp Marquardt; Sergey Biniaminov; Jürgen Becker 001 (GI-Jahrestagung, 2021)

Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. - Tobias Fleck; Svetlana Pavlitska; Sven Nitzsche; Brian Pachideh; Federico Nicolás Peccia; Soikat Hasan Ahmed; Svea Marie Meyer; Mathis Richter; Kevin Broertjes; Emre Neftci; Jürgen Becker 001; Oliver Bringmann 001; et al. (ISC2, 2023)

Towards Hardware-Software Self-Adaptive Acceleration of Spiking Neural Networks on Reconfigurable Digital Hardware. - Brian Pachideh; Christian Zielke; Sven Nitzsche; Jürgen Becker 001 (SOCC, 2023)

Exploring Neuronal Leakage for Spiking Neural Networks on Event-Driven Hardware. - Jann Krausse; Sven Nitzsche; Brian Pachideh; Carmen Weigelt; Klaus Knobloch; Jürgen Becker 001 (ICONS, 2024)