Dr.-Ing. Alexander Seeliger
Working area(s)
Research Associate
Contact
seeliger@tk.tu-...
work +49 6151 16-23190
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)
- Grant for a Software Campus project (01/2018 – 12/2019)
- Winter term 2021/22: Seminar Telecooperation with the Theme Process Mining
- Winter term 2020/21: TK1 – Verteilte Systeme und Algorithmen
- Summer term 2020
- Practical Project Telecooperation
- Research Project Telecooperation
- Winter term 2019/20: TK1 – Verteilte Systeme und Algorithmen
- Winter term 2018/19: TK1 – Verteilte Systeme und Algorithmen
- Winter term 2017/18: TK1 – Verteilte Systeme und Algorithmen
- 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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