Dominique Sommers

Position: PhD
Room: MF 7.117
Tel (internal): 8723
Links: Courses
External links: TU/e page

Recent courses

  • 2AMI10 Foundations of Process Mining - Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based Read More ...

Recent presentations

Recent projects

  • Certif-AI - Certif-AI: Certification of production process quality through Artificial Intelligence Description Production processes can be made ‘smarter’ by exploiting the data streams that are generated by the machines that are used in production. In particular these data streams can be mined to build a model of the production process as it was really executed – as Read More ...

Recent publications

  • Process Discovery Using Graph Neural Networks - Sommers, D., Menkovski, V., & Fahland, D. (2021). Process Discovery Using Graph Neural Networks. In C. Di Ciccio, C. Di Francescomarino, & P. Soffer (Eds.), Proceedings – 2021 3rd International Conference on Process Mining, ICPM 2021 (pp. 40-47) Abstract Automatically discovering a process model from an event log is the prime problem in process Read More ...

Recent awards

  • Best Paper award at ICPM 2021 for Dominique Sommers - Dominique Sommers, Vlado Menkovski, and Dirk Fahland have won the Best Paper award at ICPM 2021 with their paper “Process Discovery using Graph Neural Networks“. Congratulations to Dominique, Vlado, and Dirk!

Leave a Reply