Dr. rer. nat. Roman Karlstetter

CV

• since 2017-09: Research position at IfTA, partly funded by Bayerische Forschungsstiftung (Optimierung von Gaskraftwerken mit Hilfe von Big Data, Von der Edge zur Cloud und zurück: Skalierbare und Adaptive Sensordatenverarbeitung)
• since 2014-05: Software Engineer at IfTA: responsible for real time combustion monitoring and protection software.
• 2011-10 - 2014-04: Master of Science in Computer Science at TUM. Master Thesis at IfTA on topic "Design and implementation of a software architecture for multi-core DSPs to process and analyze measurement data"
• 2008-10 - 2011-09: Bachelor of Science in Computer Science at TUM
• 1999 - 2008: Maristenkolleg Mindelheim

Publications

• June 2023, Dissertation: An Industrial Sensor Data Processing and Query System
• July 2022: Conference paper, IEEE Edge 2022: Querying Distributed Sensor Streams in the Edge-to-Cloud Continuum
• Mai 2021: Conference paper, CCGrid 2021: Living on the Edge: Efficient Handling of Large Scale Sensor Data
• June 2019: Conference paper, ASME Turbo-Expo 2019: Turning dynamic sensor measurements from gas turbines into insights: a big data approach
• Journal Concurrency and Computation: Practice & Experience 2016: Data mining on vast data sets as a cluster system benchmark

Talks

• IEEE Edge 2022, July 11-15, 2022, Barcelona, Spain: Querying Distributed Sensor Streams in the Edge-to-Cloud Continuum
• CCGrid 2021, Mai 2021, virtual event: Living on the Edge: Efficient Handling of Large Scale Sensor Data (Video presentation)
• ASME Turbo Expo 2019, June 17-21, 2019, Phoenix, Arizona: Turning dynamic sensor measurements from gas turbines into insights: a Big Data approach
• VGB-Fach­ta­gung Ga­stur­bi­nen 2019, June 5 - 6, 2019, Kur­fürst­li­ches Schloß Mainz: Turning dynamic sensor measurements from gas turbines into insights: a Big Data approach