About

I am a post-doctoral researcher in the Information Business group at Vienna University of Economics and Business (WU Wien), Austria. There, I work in a European funded FP7 project entitled “Sensor-Enabled Real-World Awareness for Management Information Systems” (SERAMIS).

Earlier, I did my PhD studies at the Business Process Technology group at the Hasso Plattner Institute, University of Potsdam, Germany. I received a PhD (Dr. rer. nat.) in Computer Science from the University of Potsdam in April 2014.

I am interested in the following topics:

  • Probabilistic Estimations and Predictions
  • Optimization Problems
  • Process Monitoring and Process Intelligence
  • Service-Oriented Architectures

News

Generalized Conformance Checking

Recently, we submitted a work to the BPM conference with the title “In Log and Model We Trust? – A Generalized Conformance Checking Framework”. The work is dealing with a problem, where we are given a process log and a process model, but both can have errors. That is, we might have different degrees of […]

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Final call for Papers: IEEE EDOC conference 2016

This is the final call for papers for the IEEE EDOC conference 2016. The deadline for full papers has been extended to April 7th! Thus, there is one week left to prepare your papers for the main conference! Don’t miss the opportunity to submit your paper(s)! Also check out the webpage for updates and news: […]

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Information Systems paper

My paper Prediction of business process durations using non-Markovian stochastic Petri nets with Mathias Weske was accepted for publication in the Information Systems journal of Elsevier. You can find the preprint version in the publications area. Or get a free author’s copy now! Abstract: Companies need to efficiently manage their business processes to deliver products […]

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BPM paper accepted

My paper with Gjergji Kasneci on Temporal Anomaly Detection in Business Processes has been accepted to BPM 2014. The paper describes an approach to detect anomalies in the timestamps of events that happen during process execution. The approach is based on historical observations of usual behavior and uses a stochastic model to find outliers in […]

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Other:

Generalized Conformance Checking

Recently, we submitted a work to the BPM conference with the title “In Log and Model We Trust? – A Generalized Conformance Checking Framework”. The work is dealing with a problem, where we are given a process log and a process model, but both can have errors. That is, we might have different degrees of […]

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Temporal Anomaly Intervals

Recently, I was asked to provide the functionality to detect temporal anomalies outside of ProM. The idea is to use the information encoded in the stochastic Petri net models to determine outlier regions. A simple test is then enough to see whether a new observed duration is anomalous (e.g. falls into the category of the […]

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