Dr.-Ing. Alexander Seeliger

Working area(s)

Research Associate

Contact

work +49 6151 16-23190
fax +49 6151 16-23202

Work S2|02 A112
Hochschulstraße 10
64289 Darmstadt

  • Process Mining of Business Processes
  • Big Data Processing and Mining
  • Knowledge Extraction of Unstructured Data
  • Machine Learning Methods and Techniques
  • KI.RPA: Intelligent Robotic Process Automation (> 2018)
    The goal of the project is to develop a tool that companies can use to create virtual employee pools based on robotic process automation, which support human employees in recurring routine tasks.
  • DRUP: Deep Reasoning about Business Processes (2017 – 2018)
    The goal of the project is to develop methods that extract valuable knowledge in event logs of which the structure is not known before analysis.
  • PASAP: Process Analytics: Entwicklung von Softwaretechnologien für einen neuartigen Ansatz in der Prozessanalyse (2015 – 2017)
  • Detection Concept Drift in Processes using Change Point Detection
  • Development of a Root-Cause Analysis Framework for Process Executions
  • Prozessgraphoptimierung mittels Motiv -basierter Graphadaption
  • Business Rule Framework für Spark Streaming
  • Intelligenter Browser für Process Mining
  • Trace Clustering using Event Attributes from Event Logs
  • Reduktion von Unstrukturiertheit in Prozessmodellen im Kontext von Prozess Mining
  • Multivariante Root-Cause-Analyse in Process Mining
  • Rule Checking in Process Models using the Taint Flow Algorithm
  • Intelligent and Systematic Browsing through Process Mining Data
  • Trace Clustering mit Expertenwissen
  • Case2vec: Distributed Representations of Event Log Traces for Process Clustering
  • Visualisierung von Prozessmodellen in Augmented Reality
  • Zeitbasierte Erkennung von Ausreißern und Abweichungen im Prozess mittels Machine Learning
  • Extending Process Mining with IoT Data

Please contact me if you are interested in writing a Bachelor or Master thesis.

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