Bardh Prenkaj

Bardh Prenkaj is a postdoc at the Technical University of Munich and a new Friedrich Schiedel Fellow. His research includes anomaly detection, AI safety, explainability and transparency in critical domains, with a specific applicative focus in next-gen healthcare services. His fellowship project focuses on generating complex explanations of epilepsy seizures from ECG data and Ein Bild, das Kleidung, Person, Menschliches Gesicht, Formelle Kleidung enthält.

KI-generierte Inhalte können fehlerhaft sein.translate these explanations into human-readable language.

Prior to TUM, he was a senior researcher at the Sapienza University of Rome, and a visiting researcher at the George Mason University, working on foundational generative models for time series modeling, sparking his enthusiasm to “look under-the-hood” of these models and understand “how they broadly reason or try to do so at least”.