Very nice article on the visit of 20 @RolandBerger Foundation scholarship holders at @IS_BPM_TUM @TU_Muenchen. One of the pillars of our outreach activities to schools @eTM @SRinderleMa https://t.co/qy8xwSkTfB https://t.co/31hSmENDzu

@is_bpm_tum welcomes new team member @MichelKunkler. Michel worked as data analyst and recently obtained his Masters degree in Informatics from @TU_Muenchen. Michel's research focuses on distributed process automation. https://t.co/HKuwiIha31

@is_bpm_tum welcomes Felix Schumann as new member of the team and PhD student in the graduate school AdONE (https://t.co/Ub5tkUrBkP). His research interests include process mining & prediction of production & transportation processes and data mining in sports. https://t.co/M3FmYUA8pD

Pics show a process-driven chess playing cobot realized in https://t.co/TgMJ8M6ejx. Goal is to further the understanding of human process interaction #interactiveprocessautomation @etm @is_bpm_tum https://t.co/9DnWiRM6C5 https://t.co/7nAsKYz48l

Meet us at @edocconference: @WinterKaro will present our work on mining instance-spanning constraints from process execution logs in the journal first track on 6 Oct. 2022 @Herr_von_Lipwig. Read: https://t.co/Gq3YbwBHvl Program: https://t.co/4N1soBovPd https://t.co/b3RLvah1bw

Meet us as @ERConf: Beate will present our paper on "Online Decision Mining and Monitoring in Process-Aware Information Systems". How do decision rules evolve at runtime due to, e.g., change in environment or availability of data? Program: https://t.co/oJHrBUB96h https://t.co/antPCO6Isj

Meet us at @edocconference : Amol will present our paper on "Next-Activity Prediction for Non-stationary Processes with Unseen Data Variability" on 5 Oct 2022 @SRinderleMa Program: https://t.co/KkK2jADEMd https://t.co/KF4Owkn8hI

Eagerly waiting for ⁦@BPMConf⁩ opening #BPM2022 ⁦@AdelRioOrtega⁩ ⁦@cdc08x⁩ ⁦@rmdijkman⁩ https://t.co/CRkaco23Gu

Very happy to serve as new SAB member #IoP https://t.co/wY2r3hVt60

@is_bpm_tum welcomes new team member Simon Rädler. Simon's research focuses on integrating machine learning with model-based systems engineering (MBSE) to enable graphical formalization and automatic derivation of executable machine learning code based on SysML. https://t.co/dkR9BCVpOD

New technical report on the modular process orchestration engine https://t.co/uBcG6fpQWW - detailed information on data stream collection, task and worklist design, and user integration @eTM @SRinderleMa Read: https://t.co/14SLR9ARzQ

New @is_bpm_tum project funded by @TU_Muenchen Global Incentive Fund: joining forces with @sadiqshazia, incl. a research stay of Kate Sai at UQ. Goal is the automatic identification of relevant regulatory documents in a given industrial/company setting for compliance checks. https://t.co/oKyhWiYb0C