Johannes Roider

Johannes Roider, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room: Room 01.020
Carl-Thiersch-Straße 2b
91052 Erlangen

Since 06/2021 Researcher and PhD Candidate

Machine Learning and Data Analytics Lab
Department of Artificial Intelligence in Biomedical Engineering (AIBE)
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany

04/2018 – 05/2021 M. Sc. Computer Science

Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Germany

Working student at Siemens Healthineers (04/2020 – 04/2021)

Working student at Siemens AG (04/2019 – 03/2020)

Working student at 8select GmbH (04/2018 – 04/2021)

10/2015 – 03/2018 B. Sc. Business Information Systems

University of Regensburg, Germany

Working student at 8select GmbH (03/2016 – 03/2018)

10/2014 – 10/2015 Internship

Jebsen Industrial Technology Co. Ltd., Hong Kong
Assistant to the Managing Director

09/2013 – 07/2014 Erasmus student 

University of Padova, Italy
Economics

10/2011 – 09/2014 B. Sc. European Economic Studies

Otto-Friedrich University Bamberg, Germany

Student Assistant at Ingolstadt University of Applied Sciences (03/2012 – 10/2012)

In my research I focus on Process Mining related questions, mainly in the field of Predictive Process Monitoring. I pursue my research together with Siemens Healthineers Customer Services in the project Holistic customer-oriented service optimization for fleet availability.

2024

Winter 2023/24 Seminar Machine Learning and Data Analytics for Industry 4.0
Summer 2023 Seminar Machine Learning and Data Analytics for Industry 4.0
Winter 2022/23 Seminar Machine Learning and Data Analytics for Industry 4.0

Project Machine Learning for Time Series

Summer 2022 Seminar Machine Learning and Data Analytics for Industry 4.0
Winter 2021/22 Seminar Machine Learning and Data Analytics for Industry 4.0

Project Machine Learning for Time Series

Year Name Title
2024 Osman Yigit Designing a Framework for Concept Drift Handling in Predictive Process Monitoring (Master’s Project)
2023 Hana Ibrahim Implementing an Optimized Algorithm for Local Process Mining with Java (Master’s Project)
2023 Issa Issa A Distributed Python Implementation for HPC Local Process Mining  (Master’s Project)
2022/2023 Weixin Wang Evaluating Remaining Time Prediction of Business Processes with Event Log Imperfections Using Synthetic Event Log Data (Master’s Thesis)
2022/2023 Hung Nguyen Neural Temporal Point Processes for Predictive Process Monitoring (Master’s Project)
2022 Chirag Pandav Evaluating and Optimizing a Predictive Process Monitoring Package for Scalability (Master’s Project)

 

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