Johannes Roider

Johannes Roider, M. Sc.

Researcher & PhD Candidate

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

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.

No publications found.

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
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)