Lucas Cazzonelli studied industrial engineering at the Karlsruhe Institute of Technology (KIT) and has been a research associate in the Information Process Engineering (IPE) research department since September 2021.
His work focuses primarily on methods for the continuous training of machine learning models on data streams (so-called continuous & online machine learning).
In the research projects LieferBotNet and Medicar 4.0, he develops machine models for the detection of anomalies in autonomous delivery robots, as well as methods for the data-driven improvement of logistics planning.