Prof. Dr. Peter Fettke

Prof. Dr. Peter Fettke

Prof. Dr. Peter Fettke is Professor of Business Informatics at the University of Saarland 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 focus 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.
Alexander Beuther

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.

Andreas Emrich

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 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.

Filip Fatz

Filip Fatz

Filip Fatz is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2018. He successfully completed his bachelor’s degree in computer science in 2015 and his master’s degree in the same subject at Saarland University in 2018. The main topics of his studies were Privacy, Distributed Systems and Database Systems. He shows his greatest interest in block chain technology and is currently working on the ProcessChain project.

Michael Frey

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 studies Information Systems (Wirtschaftsinformatik) 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.

Oliver Gutermuth

Oliver Gutermuth

Oliver Gutermuthis 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 Business 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.

 

Philip Hake

Philip Hake

Philip Hake is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). In 2015, he received his master’s degree in Business Informatics at Saarland University. His research interests include the application of AI technologies in the field of business process management. He is particularly interested in the processing of textual information using Deep Learning to support business process design and execution.

Dr. Constantin Houy

Dr. Constantin Houy

Constantin Houy is a Senior Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). He obtained the Degree of Diplom-Wirtschaftsinformatiker (DH) (Diploma in Business Information Systems) from the Baden-Wuerttemberg Cooperative State University, Mannheim, and a Master’s Degree in Information Science (Magister Artium) from Saarland University, Saarbrücken. Constantin’s research interests include business process management, conceptual modeling, text mining as well as methods of Artificial Intelligence supporting research and theory building in Information Systems. He has published more than 50 contributions. The findings from his research have been published in outlets such as the Business Process Management Journal (BPMJ), Business and Information Systems Engineering (BISE) and in various conferences proceedings (e.g., ER, ECIS, WI, and HICSS). Constantin successfully completed his doctoral dissertation on the topic “Understandability of Graphical Business Process Models – Theory Development and Practical Modeling Guidelines based on Stylized Facts” in 2018.

Sabine Klein

Sabine Klein

Sabine Klein is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2017. In particular, she is working on issues related to business models and industrie 4.0 as well as digitalization of business processes. Within the “Mittelstand 4.0 Kompetenzzentrum Kaiserslautern”, she also is the contact person for the topic of business models. The purpose of this project is to make small and medium-sized enterprises aware of the importance of the topic Industrie 4.0, to inform them about its great opportunities and to actively support them in the implementation of their own projects. Sabine studied Business Administration and Business Informatics at Saarland University.

Johannes Lahann

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.

Lea Mayer

Lea Mayer

Lea Mayer is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2019. She received her B.Sc. in Industrial Engineering and Management with a special focus on mechanical engineering 2016 and her M.Sc. with honours 2018 in the same subject from Technical University of Kaiserslautern. She is also currently pursuing her Ph.D. in Business 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.

Nijat Mehdiyev

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 B.Sc. in Business Information Systems from University of Siegen and M.Sc. 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 interest 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.

Dominic Neu

Dominic Neu

Dominic Neu is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2020. He graduated from Saarland University in Business Administration with a masters degree in the research field of business intelligence. He is currently pursuing his Ph.D. in Business Information Systems at the Institute for Information Systems (IWi) at the Saarland University. His research interest include the application of deep learning technologies in the field of business process management. He is particularly interested in the use of reinforcement learning in the context of robotic process automation.

Peter Pfeiffer

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 in Information Systems (Wirtschaftsinformatik) at Saarland University as a member of the Software Campus where he manages a micro project concerning with industrial applications of Artificial Intelligence. His research focuses on Machine Learning based Business Process Management.

Rocco Raso

Rocco Raso

Rocco Raso is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). He received his Master of Science in Engineering (with honours) from the Polytechnic University of Turin in 2012. His research interests are content management, information design and immersive technologies. His research work resulted in several peer-reviewed academic publications and a patent. At the moment, he is working on his second patent application, which is about an innovative detection system for paper-based Augmented Reality, as a result of a related research Project.

Adrian Rebmann

Adrian Rebmann

Adrian Rebmann is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2019. He holds a bachelor and master degree in Information Systems (Wirtschaftsinformatik) from Saarland University. His research interest is in the field of process analysis, especially based on fine granular event data, such as sensor data.
Martin Scheid

Martin Scheid

Martin Scheid is a Researcher and project lead at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2017. Martin Scheid studied Information Systems at Saarland University and worked in the research department of Software AG and the Max Planck Institute for Informatics before he started working at DFKI. He is also member of the Software Campus where he is the head of the Deep Learning research project for process analytics and head of the process work package at the Competence Center for Tax Technology. In his research, Martin Scheid focuses on the interface between the topics of Process Management and Artificial Intelligence (AI) especially in Business Processes, Process Mining, Deep Learning and the field of Tax Technologies.

Steffen Schuhmann

Steffen Schuhmann

Steffen Schuhmann is a Junior Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2018. He received his B.Sc. and M.Sc. in Computer Science from the University of Applied Sciences Saarbrücken (htw saar), where he also worked in the Embedded Robotics Laboratory during his studies. His research interests are currently focused on the machine learning and process mining opportunities in the area of cyber physical systems in industrial production systems.

Sebastian Stephan

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.

Brian Willems

Brian Willems

Brian Willems is a Junior Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2019. In 2017, he successfully completed his bachelor’s degree in Information Systems (Wirtschaftsinformatik) and is currently pursuing his master’s degree in Information Systems (Wirtschaftsinformatik) with emphasis on Data Science at Saarland University. His research focuses on the application of Process Mining in various areas.