Researchers

Prof. Dr. Peter Fettke

Prof. Dr. Peter Fettke

Head of the research group

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.

Sharam Dadashnia

Sharam Dadashnia

Researcher

Sharam Dadashnia is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). His primary research interest is in the field of business process management, especially in process mining and the application in domains such as Industry 4.0 and the automated testing of software usability. Prior to that, he worked in software development at SAP SE. In addition to his scientific activities, Sharam Dadashnia is managing director of a software development company iSol UG he co-founded.

Andreas Emrich

Andreas Emrich

Researcher

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

Researcher

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

Researcher

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.

Maarten Hamberg

Maarten Hamberg

Maarten Hamberg is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2018. He obtained a B.Sc in bioinformatics at the Hanze University of applied science in Groningen, the Netherlands. After that he moved from the Netherlands to Germany where he obtained a M.Sc in bioinformatics at the Saarland University. Working as an assistent scientist for DFKI during his master studies sparked his interest in data science which led him to making a switch to the field of artificial intelligence. At the DFKI Maarten is involved in multiple research projects with a focus on the application of deep learning on (big) data.

Constantin Houy

Constantin Houy

Researcher

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 is currently finishing his doctoral dissertation on the topic “Understandability of Graphical Business Process Models – Theory Development and Practical Modeling Guidelines based on Stylized Facts”.

Sabine Klein

Sabine Klein

Researcher

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

Researcher

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.

Patrick Lübbecke

Patrick Lübbecke

Researcher

Patrick Lübbecke is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) since 2014. There he deals with the design of information systems in the field of environment and sustainability (Green IS). Other areas of research are the development of mobile services in industry and cloud computing. Patrick Lübbecke’s expertise is regularly demanded for practical presentations by associations, such as Bitkom. During his studies in business informatics at the FH Kaiserslautern and Technische Universität Ilmenau, Patrick Lübbecke focused on the design of services in IT consulting and e-government. During his time as a research assistant at the Chair of Business Informatics at the Technical University of Dortmund between 2012 and 2014 he investigated acceptance factors in the field of cloud computing.

 

Nijat Mehdiyev

Nijat Mehdiyev

Researcher

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.

Tim Niesen

Tim Niesen

Researcher

Tim Niesen is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). During his master studies in Business Informatics, which he finished in May 2015, he had a strong focus in Business Intelligence. His current research interests focus the potential of digitization and the applications of AI in the corporate tax area. Among with other researchers he is working in the Center of Competence for Tax Technology at DFKI to investigate potential use cases and solutions. In this context, he is mainly involved in the development of a tax-specific maturity model and its applications to enhance digital consulting services.

Rocco Raso

Rocco Raso

Researcher

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.

Jana-Rebecca Rehse

Jana-Rebecca Rehse

Researcher

Jana-Rebecca Rehse is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). Before that, she was a research assistant at the same institute since 2011. Jana obtained a Bachelor’s Degree in Information Systems from Saarland University, Saarbrücken, Germany in 2012 and a consecutive Master’s Degree in 2015. In 2014, she spent six months as a visiting research scholar at Stevens Institute of Technology in Hoboken, NJ. Jana’s research interests include Business Process Management, in particular Reference Modeling, Process Mining, Process Prediction, and Design Science. She is interested in finding data-driven solutions to practically relevant problems. The findings from her research have been published in outlets such as the International Journal on Software and Systems Modeling (SoSyM) and in various conference proceedings (e.g. WI, ECIS, BPM Workshops).

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.

Martin Scheid

Martin Scheid

Researcher

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.

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.

Manuel Zapp

Manuel Zapp

Researcher

Manuel Zapp is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). He holds a bachelor’s and master’s degree in computer science from Saarland University. After working for more than four years as a student trainee at Software AG, he was accepted into the Softwarecampus, a development program for junior executives. He then moved to the German Research Center for Artificial Intelligence, where he worked together with Software AG on the research of modern AI technologies for sketched business process diagram parsing. His research interests are currently focused on machine learning, in particular deep learning for process automation with intelligent cognitive services.

Top