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 Sayantani Sensharma Analyzing and Comparing Conceptual Models for Event Log Extraction from Relational Databases for Process Mining (Master’s Thesis)
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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