Find and join us on Twitter @is_bpm_tum!
2023-07-11
Looking forward to my talk at the SAP@TUM AI Inspiration Day on 13 June 23. I will discuss how AI can help BPM research challenges, in particular mining, prediction, and compliance #coversationalprocessmodeling @is_bpm_tum
https://t.co/ZAwVIFpQ31
2023-07-11
@Catherine_Sai presents our work on checking compliance between regulatory documents and their realizations at @CAiSEConf
@is_bpm_tum @WinterKaro
https://t.co/ExM3ntdu1u https://t.co/QUjA8TyPFp
2023-07-11
Marisol presents our work on the verification of temporal compliance requirement over event logs at @CAiSEConf
@is_bpm_tum @WinterKaro @eTM
https://t.co/gpyYjvVATN https://t.co/b5RYYOdiaC
2023-07-11
Beate presents our work on End-to-End decision mining and decision drift analysis in process-aware information systems at @CAiSEConf Forum.
@is_bpm_tum
https://t.co/Od9a0s7klr https://t.co/RNigISnXQR
2023-07-11
2023-07-11
Great pleasure to have three wonderful BPM colleagues here at our BPTM lecture at @is_bpm_tum @TU_Muenchen @sadiqshazia @rmdijkman @profBPM https://t.co/jZJb7KzuJN
2023-07-11
Very much enjoyed my keynote on #processautomation and #processmining in #manufacturing at the Petri Net conference in beautiful Caparica. Thanks @wvdaalst for chairing my session, Robin for the pics, and all colleagues for the great discussion @is_bpm_tum https://t.co/zRFuSz7T7h
2023-07-11
#process and #NLP enthusiast? We are hiring: take a look and apply for a PhD position in a DFG funded project on taming the impact of change in regulatory documents on process compliance.
https://t.co/0itvm3b9oR
@WinterKaro
2023-06-06
Happy to share our systematic review on predictive process and compliance monitoring. Predicate prediction or predictive compliance monitoring? Plenty of open challenges! @WinterKaro @is_bpm_tum
https://t.co/IOiq9NVVrN
2023-06-06
Meet us at @CAiSEConf
@is_bpm_tum presents 2 main conference and 1 forum paper. Topics are AI-driven compliance checking based on text and event logs and decision mining @WinterKaro @Catherine_Sai @eTM
2023-05-15
Great career chances for our #informationsystems #wirtschaftsinformatik students at @TU_Muenchen https://t.co/YAkZUvz4V5
2023-04-28
Conversational Process Modeling: how can domain experts model processes by interacting with #chatbots such as #ChatGPT ?
Find our assessment results including a test data set here: https://t.co/tPfJBbuZU9
@eTM @Ti_Kam
2023-03-31
Nice blogpost by @Ti_Kam on "Semantics Is Not All You Need – Towards Scaling Process Data Analysis", featuring our joint research project with @SAPSignavio on process mining in very large business applications and two accepted @CAiSEConf papers: https://t.co/pPX7gxxsAa
2023-03-23
Workshop with @eTM on studying computer science at @TU_Muenchen featuring the "Algo the Bunny" game.
TUM Open Campus: https://t.co/ZAEvUCtqwZ
Algo the Bunny: https://t.co/FD2FKJqcuR https://t.co/07qR5AIQ3N
2023-03-16
We are happy and sad that @winterkaro will leave @is_bpm_tum to start her new position as assistant professor at the Information Systems group @TUeindhoven on 1st April @rmdijkman
All the best and looking forward to future cooperations. https://t.co/pOulpERmWZ
2023-01-25
Video featuring a glimpse of our chess cobot scenario https://t.co/6yZOvVNckY
2023-01-25
New article in Journal of Classification (open access): DDCAL clustering can be used for e.g., preprocessing and visualization of process mining and Corona data.
https://t.co/9IwdXjvhLX https://t.co/LopY50m2fX
2023-01-05
The article on the biggest BPM problems has been published (open access): https://t.co/iCOfEp424S
@IrisBeerepoot @profBPM @cdc08x
2022-12-16
We are hiring: @is_bpm_tum is looking for a new research assistant working on process mining in very large business applications: https://t.co/JcfGlIru3B
2022-12-12
Looking for real-world BPM+IoT data sets (event logs + sensor data streams)? https://t.co/nauEHooexc
1) Manufacturing data with measurement data and 2) Public transport data with weather, traffic, and delays.
Available in XES SensorStream format: https://t.co/66gKFNl8VL https://t.co/X1sa0fEUHn
