Foundations of Data Analytics (2IAB1) 2026-2027
General learning goals
Tag: Mădălina Rogozan
Foundations of Data Analytics (2IAB1) 2025-2026
General learning goals
New PhD student: Mădălina Rogozan
On September 15, 2025, Mădălina Rogozan started as a PhD student in the PA group. Mădălina will work under the supervision of Natalia Sidorova on the AIDE project on Conformance Checking: Timed, Stochastic, and Systemic Trace Insights. A big welcome to Mădălina!
Conformance Checking: Timed, Stochastic, and Systemic Trace Insights
Conformance checking helps us understand how well the process behavior recorded in event logs matches the process behavior prescribed by a process model. The goal of this project is to advance conformance checking methods by integrating timed and stochastic aspects of process behavior and optimizing alignments across entire event logs. We will:
Mădălina Rogozan
Mădălina Rogozan is a Ph.D. student at the Eindhoven University of Technology – Data Science Domain – Process Analytics cluster. She works under the supervision of Natalia Sidorova. Position: PhD Room: MF 7.060 Tel (internal): Links: External links Recent courses Recent presentations Recent projects Recent publications
AIDE: AI Driving Education
Background and General Information AIDE (AI Driving Education) responds to the growing presence of large language model (LLM) tools like ChatGPT, Cursor, and Copilot in academic environments. These tools are increasingly used by students, influencing both how they learn and how their work is assessed. The proposal addresses this shift by embedding responsible AI tool Read More …