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Basics

Name Robert J. Flassig
Label Professor (W2) of Technical Energy Efficiency
Url https://www.th-brandenburg.de/
Summary Professor (W2, tenured) of Technical Energy Efficiency at Brandenburg University of Applied Sciences (THB). Since 2022, Research Professor. Research focus: data-driven and physics-informed modeling (Icing, DMD/POD/Koopman, PIKANNs), system identification and control, uncertainty quantification and explainable AI, HPC workflows for large-scale data, and applications in energy and turbomachinery systems.

Work

  • 2023.05 - Present
    Professor (W2) for Technical Energy Efficiency — tenured
    Brandenburg University of Applied Sciences (THB)
    Teaching and research in energy efficiency, mathematical optimization, data-driven reduction/identification, and HPC workflows. Member of the Ethics Commission and Chair of the Examination Committee (since 2025).
    • Research professorship since 2022
    • Dean of Studies, MSc Energy Efficiency of Technical Systems (2020/21–04/2025)
    • Program Advisor B.Sc. Mechanical Engineering (2018–2023)
  • 2018.05 - 2023.04
    Professor (W2) for Technical Energy Efficiency — fixed-term
    Brandenburg University of Applied Sciences (THB)
    Developed teaching formats (DE/EN) with project and practice orientation. Engaged in third-party funding and transfer activities.
    • Member of Faculty Council (2020–2021; since 2024, 26th Council)
    • Member of the Ethics Commission (since 2020)
  • 2015.01 - 2018.04
    Team Leader
    Max Planck Institute for Dynamics of Complex Technical Systems (MPI-DCTS), Magdeburg
    Led a research group on data-driven modeling, systems biology, and process engineering applications.
  • 2012.09 - 2014.12
    Research Associate & Doctoral Candidate
    Max Planck Institute for Dynamics of Complex Technical Systems (MPI-DCTS), Magdeburg
    Research on statistical model identification and large-scale networks.
  • 2009.09 - 2012.08
    Research Associate & Doctoral Candidate
    Otto von Guericke University Magdeburg
    Research as part of doctoral studies (Dr.-Ing.).
  • 2009.02 - 2009.08
    Research Associate
    Max Planck Institute for Dynamics of Complex Technical Systems (MPI-DCTS), Magdeburg
    Research activity prior to starting doctoral studies.
  • 2006.07 - 2008.08
    Working Student
    Rolls-Royce Deutschland Ltd & Co KG, Dahlewitz
    Industrial experience in turbomachinery.

Education

  • 2009.09 - 2014.04

    Magdeburg, Germany

    Dr.-Ing.
    Otto von Guericke University Magdeburg
    Process Engineering / Systems Biology (Dissertation)
    • Statistical Model Identification: Dynamical Processes and Large-Scale Networks in Systems Biology
  • 2005.09 - 2008.09

    Potsdam, Germany

    Diploma
    University of Potsdam
    Physics
    • Thesis: Dusty Ringlets in Saturn’s Ring System
  • 2002.10 - 2004.08

    Potsdam, Germany

    Intermediate Diploma
    University of Potsdam
    Physics

Awards

Skills

Data-driven Reduction & Identification
DMD/POD
Koopman
Online Identification
Validation
Uncertainty Quantification
Physics-informed & Hybrid Models
PIKANNs
Thermal/Flow & Structural Coupling
Icing & Shedding
Heat/Mass Transport
HPC Workflows & Scalable Data Pipelines
in-situ/in-transit analysis
ADIOS2
ParaView/Catalyst2
VTK/VTU
FlowTorch
Gaussian Splatting
Statistics / ML / XAI
Supervised/Unsupervised Learning
Surrogate Modeling
Sensitivity Analysis
Explainability (XAI)
UQ
Programming & Reproducibility
Python (NumPy, SciPy, Pandas, Matplotlib, PyTorch)
C/C++
Git/GitHub
Conda
Docker/Apptainer
HPC

Languages

German
Native speaker
English
Professional fluency (teaching/publications)
French
Working proficiency – suitable for professional conversations

Projects

  • 2022.01 - Present
    VITVI – Virtual Engine Development with AI Methods
    Team leader/supervision of 5 PhD students; research on XAI in engineering, ML-based icing models, data compression/reconstruction (including VR). Partners: TH Brandenburg, TU Berlin, BTU Cottbus-Senftenberg, Friendship Systems AG, Rolls-Royce Deutschland.
    • EFRE / State of Brandenburg funding
    • Icing models & VR
    • XAI/UQ for engineering
  • 2020.01 - 2022.12
    GREEN – Holistic Solutions for an Accelerated Energy Transition
    Project leader (2020–2022) for integrated solutions in energy transition.
    • ESIF-funded
    • System integration
  • 2017.01 - 2019.12
    EMIBEX
    Co-applicant & project leader (2017–2019) with HS Anhalt, Fraunhofer CBP Leuna, MPI Magdeburg.
    • ESIF-funded
    • Industry & research consortium