This image shows Peter Reimann

Peter Reimann

Dr. rer. nat.

Researcher
IPVS
Applications of Parallel and Distributed Systems

Contact

+49 711 685 88445
+4971168588424

Universitätsstraße 38
D-70569 Stuttgart
Deutschland
Room: 2.467

Office Hours

Please arrange a meeting via email.

Subject

Head of the Research Group ICT platform for Manufacturing at the Graduate School of Excellence advanced Manufacturing Engineering (GSaME).

This research group focuses on information and communication technologies (ICT) that integrate heterogeneous, distributed information systems throughout a company. It combines fundamental and applied research in the areas of data provisioning, data management, data analysis, and machine learning for industrial use cases. Relevant application areas can be summarized by the term Industrial Analytics, which aims to implement data analytics across the entire product lifecycle. In addition, the specific characteristics of industrial data often lead to fundamental research questions that have not yet been considered in scientific literature and for which the research group is developing novel approaches. Here, relevant research topics include:

  • Addressing different types of bias and data set shifts in real-world data that result, for example, from the complexity and variety of products in industrial use cases.
  • Data quality for structured and unstructured data.
  • Metadata management, data lakes.
  • Informed machine learning: Use of domain knowledge, e.g. from semantic networks or probabilistic graphs, to improve data preparation and data analysis.
  • Combination and fusion of data-driven machine learning models and physical simulation models or other knowledge databases.
  • Automated Machine Learning (AutoML), meta-learning, ML model management, eXplainable AI (XAI).

Peter Reimann studied computer science at the University of Stuttgart and received his PhD in 2016 at the Institute for Parallel and Distributed Systems (IPVS) and the Cluster of Excellence Simulation Technology (SimTech) at the University of Stuttgart. His PhD topic was related to data management and data provisioning for computer-based simulations and simulation workflows. From July to September 2015, he was a visiting scholar at the School of Information Sciences (iSchool) and the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign in the USA. Since 2017, he is a head of a junior research group at the Graduate School of Excellence advanced Manufacturing Engineering (GSaME) at the University of Stuttgart. His current research area covers topics on both application-oriented and fundamental research in the areas of data provisionining, data management, data analysis, and machine learning for industrial use cases (Industrial Analytics).

  • ICEIS 2022 Best Paper Award
    Marco Spieß, Peter Reimann, Christian Weber and Bernhard Mitschang: Analysis of Incremental Learning and Windowing to handle Combined Dataset Shifts on Binary Classification for Product Failure Prediction. In: Proceedings of the 24th International Conference on Enterprise Information Systems (ICEIS), 2022.
  • DSAA 2019 Best Paper Award
    Vitali Hirsch, Peter Reimann and Bernhard Mitschang: Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products. In: Proceedings of the 6th International Conference on Data Science and Advanced Analytics (DSAA), Washington, D.C., USA, 2019.
  • Data Science in the Industrial Product Lifecycle. Bosch Data Strategy Expert Talk at Robert Bosch GmbH, November 16th, 2021.
  • Industrial Analytics – Data Science im industriellen Bereich. Jugendforum Informatik 1 + 2, March 29th and April 1st, 2021.
  • Data Science Projects in the Graduate School of Excellence advanced Manufacturing Engineering (GSaME), Advanced Analytics & Big Data InfoDay of Daimler AG, September 18th, 2019.
  • Data Management and Data Science in the Graduate School of Excellence advanced Manufacturing Engineering (GSaME), Advanced Analytics & Big Data InfoDay of Daimler AG, September 20th, 2018.
  • Data Provisioning for Simulation Workflows. Research Talk at the School of Information Science of the University of Illinois at Urbana-Champaign (UIUC), July 22nd, 2015.

Chair / PC member of conferences or workshops:

  • Chair of Workshop on Big and Small Data in Science and Humanities (BigDS 2019), Conference on „Datenbanksysteme für Business, Technologie und Web“ (BTW), Rostock, Germany, 2019.
  • Chair of Workshop on Big and Small Data in Science and Humanities (BigDS 2017), Conference on „Datenbanksysteme für Business, Technologie und Web“ (BTW), Stuttgart, Germany, 2017.
  • Member of Organizing Committee, Conference on „Datenbanksysteme für Business, Technologie und Web“ (BTW), Stuttgart, Germany, 2017.
  • PC member of SimTech Workshop, Informatik 2014 of the Gesellschaft für Informatik (GI), Stuttgart, Germany, 2014

Other selected reviewing activities:

  • Reviewer for 37th ACM/SIGAPP Symposium On Applied Computing (SAC), Brno, Czech Republic, 2022.
  • Reviewer for Journal of Manufacturing Processes, S. Kapoor (Ed.), Elsevier, 2021.
  • 35th IEEE International Conference on Data Engineering (ICDE), Macau, 2019, Sub-Review.
  • 23rd IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2019), Porto, Portugal, 2019, Sub-Review.
  • 34th IEEE International Conference on Data Engineering (ICDE), Paris, France, 2018, Sub-Review.
  • Reviewer for Procedia CIRP: 51st CIRP Conference on Manufacturing Systems (CIRP CMS), Stockholm, Sweden, 2018.
  • 20th International Conference on Extending Database Technology (EDBT), Venice, Italy, 2017, Sub-Review.
  • Reviewer for Computing Journal, S. Dustdar (Ed.), Springer, 2014.

Summer Term 2021

  • Doctoral Seminar (GSaME) “Industrial Analytics”

Winter Term 2021/2022

  • Lecture in GSaME Onboarding Seminar (Grundprogramm): “Data Modeling and Database Systems”
  • Invited Talk in Lecture Series “Digital Humanities”: “Database Systems”

Summer Term 2021

  • Advanced Seminar “Advanced Topics in Data Management for Industrial Analytics”

Winter Term 2020/2021

  • Advanced Seminar “Advanced Topics in Data Management for Industrial Analytics”
  • Doctoral Seminar (GSaME) “Industrial Analytics”
  • Lecture in GSaME Onboarding Seminar (Grundprogramm): “Data Modeling and Database Systems”
  • Invited Talk in Lecture Series “Digital Humanities”: “Database Systems”

Winter Term 2019/2020

  • Lecture “Database and Information Systems”
  • Advanced Seminar “Advanced Topics in Data Management for Industrial Analytics”
  • Doctoral Seminar (GSaME) “Industrial Analytics”

Summer Term 2019

  • Invited Talk in Lecture “Advanced Information Management”: “NoSQL Document Stores and Wide Column Stores”.

Winter Term 2018/2019

  • Lecture “Database and Information Systems”
  • Advanced Seminar “Advanced Topics in Data Management for Industrial Analytics”
  • Doctoral Seminar (GSaME) “Industrial Analytics”
  • Lecture in GSaME Onboarding Seminar (Grundprogramm): “Data Modeling and Database Systems”
  • Invited Talk in Lecture Series “Digital Humanities”: “Database Systems”

Summer Term 2018

  • Invited Talk in Lecture “Advanced Information Management”: “NoSQL Document Stores and Wide Column Stores”.

Winter Term 2017/2018

  • Exercise “Database and Information Systems”
  • Lecture in GSaME Onboarding Seminar (Grundprogramm): “Data Modeling and Database Systems”
  • Invited Talk in Lecture Series “Digital Humanities”: “Database Systems”

Summer Term 2017

  • Invited Talk in Lecture “Advanced Information Management”: “NoSQL Document Stores and Wide Column Stores”.

Winter Term 2016/2017

  • Exercise “Database and Information Systems”
  • Lecture in GSaME Onboarding Seminar (Grundprogramm): “Data Modeling and Database Systems”
  • Invited Talk in Lecture Series “Digital Humanities”: “Database Systems”

Winter Term 2015/2016

  • Exercise “Database and Information Systems”
  • Exercise in GSaME Onboarding Seminar (Grundprogramm): “Data Modeling and Database Systems”

Winter Term 2014/2015

  • Exercise “Database and Information Systems”
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