Natalia Sidorova

Natalia Sidorova is an Assistant Professor at the Eindhoven University of Technology, affiliated with the Mathematics and Computer Science department and the Process Analytics research group. She also contributes to the EAISI Health initiative. Her work focuses on process mining, Petri nets, workflow analysis, and healthcare informatics.

Research Interests: Dr. Sidorova specializes in formal process modeling, conformance checking, resource-constrained systems, and applications in healthcare and smart environments. Her research bridges theoretical foundations (e.g., soundness verification of workflow nets) with practical tools like log alignment techniques and adaptive workflow systems. She explores data-driven methods for refining process models and analyzing complex event logs.

Key Contributions: Her publications cover topics such as log alignment algorithms, resource-aware Petri nets, and stress management systems using sensor data. She co-authored the 2018 Best Paper Award-winning work on intelligent environments and contributed to foundational studies on workflow net soundness undecidability (2008).

• Teaching: She teaches Foundations of Data Analytics (2023–present).
• Labs/Teams: Active in Process Analytics and EAISI Health, collaborating on artifact-centric processes and health informatics.