Yoann VALERO

Yoann VALERO is affiliated with the University of Technology of Troyes (UTT) and teaches at Université de Strasbourg. His academic role includes lecturing on Statistical Process Control (SPC) for Master's students and Process Mining for specialized Master's programs in BDAAD. He has conducted seminars on sequence analysis, process modeling, and Petri nets. His research focuses on artificial intelligence for individual journey modeling, deep learning applications, and predictive process monitoring. Recent work includes applying generative adversarial networks (GANs) to process prediction and reinforcement learning for process action recommendations.

Key contributions include papers presented at SHEiC 2021, SDSS 2022, ENBIS Trondheim, JSM 2022, and COMPSTAT 2022. His research bridges process mining with healthcare applications and industrial process optimization.

No awards or formal advisees are listed in the provided materials. His work aligns with UTT's focus on technological innovation and applied research.