Research
Research Interests (Selection)
Data science in business economics and industrial applications
Industry 4.0 / smart manufacturing and logistics
Time series forecasting and demand planning
Predictive maintenance and condition monitoring
Meta-learning for automatic model selection
Simulation-based optimization for production planning and control
Modeling and simulation of production and logistics systems
Neural networks and artificial intelligence
Research Projects (Selection)
I have been responsible for the successful acquisition and management of different research projects. I published the achieved research results in journals as well as conference proceedings (see publications) and I presented the results on national and international conferences (see presentations). In addition to the selection below, I have been supporting my colleagues in projects regarding Industry 4.0 and digitalization, modeling and simulation in production and logistics, shared resources in production networks as well as statistical fault detection.
AutoCBM - A meta-learning approach for automatic condition-based maintenance, Funded by Bremer Aufbaubank (BAB), July 2020 - December 2021. Role: Project Leader.
MetaMaintain - A meta-learning approach to select appropriate prognostic methods for the predictive maintenance of digital manufacturing systems, Funded by German Research Foundation (DFG), January 2020 - December 2021. Role: Proposal Coordinator, Associative Partner.
IPM - Individual predictive maintenance of rail vehicle motors, in cooperation with Deutsche Bahn Fahrzeuginstandhaltung, Bremen, Funded by Wirtschaftsförderung Bremen (WFB), November 2018 - July 2020. Role: Proposal Coordinator, Project Manager.
AdaptiveSBO_2 - An adaptive simulation-based optimisation approach for the scheduling and control of dynamic manufacturing systems - 2nd Phase, Funded by German Research Foundation (DFG), April 2018 - November 2018. Role: Proposal Coordinator, Project Manager, Project Team Leader.
AdaptiveSBO - An adaptive simulation-based optimisation approach for the scheduling and control of dynamic manufacturing systems, Funded by German Research Foundation (DFG), April 2016 - March 2018. Role: Proposal Contributor, Project Manager, Project Team Leader.
SFB 747 T3 - Development of a Method for the Quality Inspection of Micro Parts, Funded by German Research Foundation (DFG), January 2015 - December 2016. Role: Project Contributor.
CyProS - Cyber Physical Production Systems – Enhancement of Productivity and Flexibility by Networking Intelligent Systems in the Factory, Funded by Federal Ministry of Education and Research (BMBF), September 2012 - September 2015. Role: Project Contributor.
Forecasting_NLD_2 - Development and Evaluation of an Automatic Forecasting System for Customer Demands, Funded by German Research Foundation (DFG), January 2013 - June 2014. Role: Proposal Coordinator, Project Manager.
Forecasting_NLD - Development and Evaluation of Forecasting Methods for Production Planning and Control by Considering Prediction Models of Nonlinear Dynamics, Funded by German Research Foundation (DFG), April 2011 - September 2012. Role: Project Manager.
Travel Grants
DAAD Travel Grant, German Academic Exchange Service, IEEE International Joint Conference on Neural Networks @ World Congress on Computational Intelligence, IEEE, July 24-29, 2016, Vancouver, BC, Canada. Role: Proposal Coordinator, Project Manager.
ISF Travel Award, International Institute of Forecasters, 36th International Symposium on Forecasting, IIF, June 19-22, 2016, Santander, Spain. Role: Proposal Coordinator, Project Manager.