BPM-I4.0 - Process mining for analyzing and prescribing industrial core processes
Nowadays, companies and their processes have to be adapted ever more quickly and flexibly. Process mining methods can create transparency and a better understanding of processes. Process mining makes it possible to identify, analyze and improve business processes based on data.Up to now, process mining research has primarily focused on structured ...
Duration: 04/2021 - 06/2023
Funded by: MWIKE NRW
Contact: Prof. Dr. Daniel Beverungen, Prof. Dr. Oliver Müller
Prozessorientierte wirtschaftliche Bewertung und Auswahl von IT-Sicherheitsma?nahmen
Aktuelle Technologien, bspw. aus den Bereichen Cloud-Computing oder Data-Science, bieten einerseits erhebliches Potential für den Erhalt und die St?rkung der Wettbewerbsposition von Unternehmen. Andererseits birgt die Einführung solcher Technologien neue Risiken, bspw. in Verbindung mit Data-Security, Cloud-Hacking oder Datenschutz. Um diesen ...
Duration: 04/2021 - 06/2024
Funded by: BMBF
Remaining Useful Lifetime for New and Used Technical Systems under Non-Stationary Conditions
Condition-based maintenance and predictive maintenance are increasingly applied in the industry due to their ability of ensuring an optimum utilization of the monitored system. These maintenance strategies allow for diagnosing and predicting the health states of the system under stationary operating conditions. However, technical systems mostly ...
Duration: 04/2021 - 09/2024
Funded by: DFG
SAFE - Streaming approaches for Europe Enhancing the digital competences by streaming approaches for schools to tackle the challenges of COVID-19
COVID-19 is affecting daily work in all schools. In the current situation, which is strongly characterized by the effects of contact restrictions due to the corona pandemic, it is becoming clear that schools at all levels, i.e. primary, secondary and upper secondary education, are faced with the challenge of teaching in online formats. The Erasmus+ ...
Duration: 03/2021 - 02/2023
Funded by: EU
tRATEmark - Automated evaluation of word marks using machine learning methods
Today, intangible assets determine an average of 84% of a company's value. Among these intangible assets, brands play an important role, which in the form of words, phrases and logos significantly favor the market success of a company. The project aims to develop a method for the automated valuation of brands that is capable of continuously ...
Duration: 03/2021 - 05/2023
Funded by: BMWK
ImPaKT - ICT-enabled model-based impact analysis in product development
The more complex and varied products become, the more time-consuming it is for companies to reliably analyze and evaluate the technical and financial effects of these changes. The challenges grow when many partners are involved in product development. Impact analyzes are intended to help companies identify possible consequences of product changes ...
Duration: 01/2021 - 12/2023
Funded by: BMBF
Contact: Dr.-Ing. Christian Oleff, Prof. Dr. Iris Gr??ler
Development of scalable anti-counterfeiting optical metasurfaces with nanoprint
Due to the fusion of our life with IoT (Internet of Things) technologies, we are about to enter the hyper-connected communities. Here at, identity concerned about who I am, who they are, what things are has become surely essential issues. However, the emergence of information society entails a lot of problems concerned with data and information ...
Duration: 01/2021 - 12/2022
Funded by: DAAD
International Computer and Information Literacy Study 2023
Mit der international vergleichenden Schulleistungsstudie ICILS 2023 (International Computer and Information Literacy Study 2023) realisiert die IEA (International Association for the Evaluation of Educational Achievement) nach ICILS 2013 und ICILS 2018 den dritten Zyklus der Studie ICILS. Mithilfe eines international entwickelten und elaborierten ...
Duration: 01/2021 - 12/2026
Funded by: BMBF
Explainable Feature Importance: Interpretable machine learning through game theoretic analysis of influence variables and interaction effects
Machine learning (ML) methods support the search for patterns in data and relationships between variables, e.g. in complex bio-medical systems. In this way, they can provide new insights and improve decisions in fields of action such as medical diagnostics. In addition to the quality of the models learned from the data, the trust of human experts ...
Duration: 01/2021 - 12/2024
Funded by: MKW NRW
Technically Enabled Explaining of Speaker Traits
The speech signal is a rich source of informa?tion that conveys linguistic but also what is termed para- or extralinguistic content, revea?ling a speaker’s identity, gender, emotional or cognitive state, age, and health. These traits have been the subject of many investigations in phonetics, but due to the high complexity of the underlying ...
Duration: 01/2021 - 12/2025
Funded by: DFG