Thomas is the Lead AI/Data Scientist at Dynatrace, influencing the strategic direction and development of data science and artificial intelligence solutions. His current work is focused on enhancing the DAVIS AI engine towards advanced anomaly detection and forecasting algorithms. He has profound background and deep practical experience in machine learning (ML) and artificial intelligence (AI) gathered from years of R&D to build ML/AI solutions in many different application areas ranging from predictive maintenance over risk-based software testing to forecast systems for optimizing energy consumption.
Authored publications
An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring
Companies need to collect and analyze time series data to continuously monitor the behavior of software systems during operation, which can in turn be used for performance monitoring, anomaly detection or identifying problems after system crashes. However, gaining insights into common data patterns in time series is challenging, in particular, when...
Andreas Schörgenhumer; Thomas Natschläger; Paul Grünbacher; Mario Kahlhofer; Peter Chalupar; Hanspeter Mössenböck
| 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) | 2021
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