About
3
Publications
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Introduction
Since 11/2017: Research Associate at the Machine Learning and Data Analytics Lab (MaD), Friedrich-Alexander University Erlangen-Nürnberg (FAU).
Current research projects are linked:
Process Mining, Educational Process Mining, Adoption of AI in organizations & industries, Trend Analysis, Innovation Management, Speech-to-text Data, Event Log Data
Skills and Expertise
Additional affiliations
November 2017 - present
Education
July 2015 - December 2015
October 2014 - May 2017
Field of study
- Industrial Engineering and Management
October 2011 - December 2014
Field of study
- Industrial Engineering and Management
Publications
Publications (3)
The increasing complexity in software development leads to the necessity for a detailed data analysis. Literature illustrates a stronger research focus on Educational Process Mining (EPM) being applied to the fields of e-learning and professional training. In this work, the opportunities of Process Mining (PM) are further examined by the evaluation...
Artificial Intelligence (AI) as an emerging technology is increasingly applied in the healthcare sector. Moreover, the AI-related progress and technology application is not only driven by traditional companies but even more by the establishment of small and medium-sized enterprises (SME) in healthcare, the innovation process as well as
dynamic prod...
The adoption of artificial intelligence (AI) within organizations is experiencing growing interest. Since AI has distinctive characteristics (automation – augmentation), it is unclear how both characteristics influence the adoption. Besides, current research calls for a configurational perspective within the adoption theory. Building on these resea...
Projects
Projects (3)
The first prototype of the GitLab Analyser supports analyzing the development process of GitLab projects. It illustrates the activities of an agile management process with GitLab features as well as the usage of Git and the GitLab Wiki. Through an entire project and individual user analysis, the tool provides insights into the entire development process and the activities of all involved users. The analysis results are presented in clear dashboard views. The tool thus enables an easy introduction to process analysis and also creates so-called event logs for more extensive and detailed process analysis.
More information:
https://www.mad.tf.fau.de/research/gitlab-analyser/
This project develops a seminar on applied machine learning for engineers in production and quality.
https://www.mad.tf.fau.de/research/projects/machine-learning-at-operations/
(01.11.2017 - 30.10.2019)
