Find and join us on Twitter @is_bpm_tum!
welcomes Qian Chen as new member of the team and PhD student in the graduate school AdONE (https://t.co/aEOTfBBKvi
). Qian will work on research questions at the intersection of predictive process monitoring and operations research with a focus on transport&logistics. https://t.co/KjGwT1qPLO
welcomes Janik-Vasily Benzin. His background includes context-aware anomaly detection and experience as analyst and application manager in the banking industry. Janik will work on advanced concepts for (compliance) monitoring and online / predictive process mining. https://t.co/PhrCRBcsTo
Meet us at @CAiSEConf
. Beate will present our work on process decision mining with time series data in Session 1 of the main track (8 June 2022, 11 am). Find out how to discover expressive and interpretable decision rules by exploiting process context data @is_bpm_tum https://t.co/Ax9HWBdsaz
We are hiring!
Apply for a PhD position in the Research Training Group AdONE at @TU_Muenchen
Challenging topics at the intersection of process mining, optimization, and transport&logistics ahead!
How to place cobots on your assembly line?
👉 see our new article in Journal of Industrial Information Integration
"A hybrid metaheuristic solution approach for the cobot assignment and job shop scheduling problem"
Interested in scientific work on advanced algorithms in process-oriented information systems, decentralized processes, and process analysis?
We are hiring: https://t.co/VmAUfLwBxv
Looking forward to my presentation on "Process Mining in Manufacturing and Transportation" at the AdONE research seminar on 10th Jan 2022 (https://t.co/c1mzWiJCqy
). Challenges and opportunities with analyzing contextualized data in process orchestrations and choreographies. https://t.co/Sxbt9WZjPn