Team
Prof. Dr. Peter Fettke
Prof. Dr. Peter Fettke is Professor of Business Informatics at the Saarland University and Principal Researcher, Research Fellow and Research Group Leader at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken.
In his research, Professor Fettke and his 30-strong research group focuses on the interface between the topics of process management and artificial intelligence (AI). In addition to researching the potential applications of AI technologies such as deep learning and process mining in an operational context, researching the impact of digitalization on business model innovation and modeling of business operations are also key areas of his work.
Professor Fettke is the author of more than 100 specialist publications. His works are among the most cited articles in leading international journals on business informatics and he is one of the top 10 most cited scientists at the DFKI. He is also a much sought-after consultant of prestigious conferences, journals and research organizations.
E-Mail: peter.fettke(at)dfki.de
Alexander Berrang
Alexander Berrang joined the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) in 2016. Starting as a student assistant, he became a researcher in September 2020.
He received his bachelor’s degree in Business Informatics at Saarland University in 2017, where he also finished his master’s degree in 2020 in the same subject. He is currently pursuing his Ph.D. in self-learning assistance systems in Industry 4.0 at the Inistute for Information Systems (IWi) at the Saarland University.
With his knowledge in Business Informatics and his experience gained as a student assistant, he is currently working on an adaptive recommendation system in a learning environment for manual assembly using Process Intelligence. Also, he is working on an assistance system to support rescue units during emergency responses including rescue robotics using Process Mining and Modelling. The data gained through their radio messages using NLP techniques, is also be used to document and to debrief finished emergency response.
E-Mail: alexander.berrang(at)dfki.de
Alexander Beuther
Alexander Beuther is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2019.
He graduated from Saarland University in Business Informatics in 2017 with a bachelor’s degree in the research fields of reference modeling and e-Government, and in 2019 with a master’s degree in the research fields of process mining and software usability.
He is currently working in the Center of Competence for Tax Technology at DFKI.
E-Mail: alexander.beuther(at)dfki.de
Andreas Emrich
Andreas Emrich is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI).
He received a master’s degree in Business Administration and Computer Science (“Dipl.-Wirtsch.-Ing.”) from Technical University of Kaiserslautern and currently pursues a PhD in Information Systems at Saarland University.
His research interests are process mining, information systems, traceability, data-driven business models and semantic process recommender systems. He led and acquired several local, national and international research and industry projects. Andreas co-authored more than 55 peer-reviewed papers in internal journals and conferences on information systems, business informatics and computer science. He currently leads the working group on business models with in the German technology transfer network “Mittelstand Digital”. He served as programme committee member and reviewer for several international magazines, journals and conferences such as IEEE Software, European Journal on Information Systems (EJIS), IEEE Internet of Things, ICIS, ECIS, HICSS, etc.
E-Mail: andreas.emrich(at)dfki.de
Michael Frey
Michael Frey is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2017.
Michael Frey studied Information Systems at Saarland University.
He is currently managing a micro project in the context of business process prediction as a member of the Software Campus, which is funded by the Federal Ministry of Education and Research (BMBF). His research focuses on recommendation systems, business process monitoring and business process prediction.
E-Mail: michael.frey(at)dfki.de
Oliver Gutermuth
Oliver Gutermuth is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2018.
In 2015, he successfully completed his bachelor’s degree in Business Administration and is currently in the final phase of his master’s degree in Business Administration with an emphasis on Business Informatics.
Parallel to his studies, he worked as a student assistant in various projects at the Institute of Information Systems from 2011 to 2017. Primarily he developed process-oriented modernization strategies in the area of Digital Government and investigated usability indicators of application systems using process mining. He is now continuing this research focus in his function as a research associate.
E-Mail: oliver.gutermuth(at)dfki.de
Cai Hussung
Cai Hussung is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI).
He graduated from Saarland University in Business Administration 2019 with a bachelor’s degree in the research fields of reference modeling an rescue robotics, and in 2020 with a master’s degree in the research fields of design science and software evaluation.
He is currently pursuing his Ph.D. in Business Information Systems at the Institute for Information Systems (IWi) at the Saarland University. His research interests include business management, conceptual modeling and software evaluation.
E-Mail: cai.hussung(at)dfki.de
Johannes Lahann
Johannes Lahann is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2016.
He graduated from Saarland University in September 2016 with a degree in Computer Science in the research fields of machine learning and deep learning.
He is currently working on the research projects SPOTTED and COC-WTS, in which he is investigating the potentials of deep learning based anomaly detection in large-scale transaction data for tax purposes.
E-Mail: johannes.lahann(at)dfki.de
Josip Lovrekovic
Josip Lovrekovic is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) in Saarbruecken since 2022.
He graduated from Saarland University in economy and law in 2019 with a bachelor’s degree in the research field of e-government, in 2021 with a master’s degree in the research field of legal technology and currently pursues a PhD in business administration at the Saarland University.
Parallel to his studies, he worked as a student assistant in various projects at DFKI since 2018.
His research interests include business process management and modelling, e-government, legal compliance and legal technology.
E-Mail: josip.lovrekovic(at)dfki.de
Maxim Majlatow
Maxim Majlatow started as a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) in February 2022 after graduating from Saarland University in Business Informatics in 2021 with a bachelor’s degree. Building on the projects he participated in as a research assistant since 2019, his work and research revolves predominantly around the domain of Explainable Artificial Intelligence.
E-Mail: maxim.majlatow(at)dfki.de
Lea Götz
Lea Götz is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2019.
She received her bachelor’s degree in Industrial Engineering and Management with a special focus on mechanical engineering in 2016 and her master’s degree with honours 2018 in the same subject from Technical University of Kaiserslautern. She is also currently pursuing her Ph.D. in Information Systems at the Inistute for Information Systems (IWi) at the Saarland University.
With her engineering background she is working on (business) process analytics and predictive process monitoring in an industrial environment. The focus is on the development of concepts for process and user support using artificial intelligence (AI) technologies.
E-Mail: lea.goetz(at)dfki.de
Nijat Mehdiyev
Nijat Mehdiyev is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2015.
He received his bachelor’s degree in Business Information Systems from University of Siegen and Master with honours in Finance and Information Management (FIM) from Technical University of Munich and University of Augsburg. He is also currently pursuing his Ph.D. in Business Information Systems at the Institute for Information Systems (IWi) at the Saarland University.
His research interests are in the area of predictive process monitoring, data driven decision making and explainable artificial intelligence. He is actively engaged in national research projects in the Industry 4.0 domain and co-authored several academic publications.
E-Mail: nijat.mehdiyev(at)dfki.de
Matthias Olscher
Matthias Olscher has been a junior researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2021.
He has successfully completed his bachelor’s degree in business informatics and is currently completing his master’s degree in business informatics with a focus on data science at Saarland University.
His research focuses on the aplication of natural language processing in process modeling.
E-Mail: matthias.olscher(at)dfki.de
Peter Pfeiffer
Peter Pfeiffer is a junior researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2019.
He is currently pursuing his master’s degree in Information Systems at Saarland University as a member of the Software Campus where he manages a micro project concerning the industrial applications of artificial intelligence. His research focuses on machine learning based business process management.
E-Mail: peter.pfeiffer(at)dfki.de
Alexander Rombach
Alexander Rombach is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since the beginning of 2022. He received his bachelor’s degree in Business Informatics in 2019 and his master’s degree in the same subject from Saarland University in 2021.
Besides general research on Business Process Management, his research interests lie in the use of Artificial Intelligence within business contexts and more specific topics such as Robotic Process Automation and Process Mining. In this regard, he is currently working in the Center of Competence for Tax Technology (CoC-TT) as well as in the Competence Center Audit Transformation (CCAT).
Sarah Rübel
Sarah Rübel is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2020.
She works on business models, assistant systems, process analytics, and artificial intelligence readiness. She is an AI-Trainer for the “Mittelstand-Digital Zentrum Kaiserslautern” where she is also the contact person for the topics business models and the software product “artificial intelligence readiness check”. The purpose of this project is to enable small and medium-sized enterprises in all things related to digitalization, to inform them about its opportunities and to actively support them in the implementation of their own projects.
Sarah studied Business Administration with a focus on information management at Saarland University and is currently pursuing her Ph.D. in Information Systems.
E-Mail: sarah.ruebel(at)dfki.de
Sebastian Stephan
Sebastian Stephan is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2018.
He obtained a bachelor’s degree in Business Informatics from the Konstanz University of Applied Sciences, Germany in 2015 and a consecutive master’s degree in Informatics in 2017.
During his studies, he worked on different business process management projects and got insights in current research issues conducted by the Constance Institute of Process Control (kips), Germany. Sebastian’s interests are in (agile) business process management and artificial intelligence, in particular nature-inspired optimization algorithms. In his research, he focuses on the interface between the topics of process management, business intelligence and artificial intelligence.
E-Mail: sebastian.stephan(at)dfki.de