Prof. Dr.-Ing. Christoph Wunck Executive Board of Division Manufacturing

Prof. Dr.-Ing. Christoph Wunck

Position at OFFIS

Executive Board of Division Manufacturing

Research and Developement Division


Position at the University

Professor of Business Informatics at the Department of Engineering at the University of Applied Sciences Emden/Leer
Prof. Dr. Christoph Wunck is a full professor of Business Information Systems since 1999 and former Dean of the College of Management, Information, Technology. He teaches courses on distributed applications, software engineering, programming, electronic business systems, business process management and information management. He holds a doctoral degree from the faculty of mechanical engineering and a master’s degree (Diplom-Ingenieur) in electrical engineering, both from RWTH Aachen University.

He is the managing director of the Institute of Information Processing in Plastics Manufacturing at Jade University and a scientific director at OFFIS Institute for Information Technology. He has been appointed Affiliate Professor of Computer Science at Iowa State University in Ames, Iowa, USA.

His professional experience covers project management and consulting services for a major European business consultancy and work as a consulting engineer for manufacturing and electronics industries. He has served Jade University for nine years in the position of dean and dean of studies.

Prof. Dr. Wunck is well connected in his field. He is a registered expert for the European Research Council Executive Agency. He serves in the management of conferences and is a reviewer for conference papers, journals and books. He is a Senior Member of IEEE Industrial Electronics Society, a Professional Member of IISE and a member of IEOM, INFORMS, ISCA, ISACA, and VDI.

+49 4921 807-1807


Hochschule Emden/Leer
Constantiaplatz 4
26723 Emden

of Prof. Dr.-Ing. Christoph Wunck


Development of a Prototype for a Process Support and Analysis Platform for Small and Medium-sized Enterprises

Jonas KallischChristoph Wunck; International Journal of Computers and Their Applications; 07 / 2023

Using vertical Federated Learning in industrial Supply Chains

Jonas KallischChristoph Wunck; Decision Science Institute; 11 / 2023



Development of a Prototype for a Process Support and Analysis Platform for Small and Medium-sized Enterprises

Jonas Kallisch, Christoph Wunck; Proceedings of 35th International Conference on Computer Applications in Industry and Engineering 89; 10 / 2022

Options for connecting decentralized data infrastructure to improve Supply-Chain decision making without giving up individual data property

Jonas Kallisch, Christoph Wunck; Decision Sciences Institute 2022 Annual Conference Proceedings; November / 2022

Securing the data bridges in digital supply chains

Jonas Kallisch, Karl-Heinz Niemann und Christoph Wunck; ICTA EMoS; 11 / 2022


Evaluating the Microservice Architecture Style for Manufacturing Cell Controller Software

Christoph Wunck, Jonas Kallisch; International Journal of Computers and Their Applications Volume 27; June / 2020



Success Factors for Big Data Analytics in Manufacturing

Wunck, Christoph; Production and Manufacturing Society Annual Conference, Washington DC, May 4, 2019; 2019

Towards a Microservice Architecture for the Manufacturing Operations Layer

Wunck, Christoph; Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering; 2019

Towards best practices in manufacturing data analytics

Wunck, Christoph; Decision Sciences Institute 2019 Annual Conference Proceedings; 2019



Three Perspectives on Industrial Internet of Things

Wunck, Christoph; Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2018, Orlando, USA, May 21, 2018; May / 2018

Towards a Process Reference Model for the Information Value Chain in IoT Applications

Christoph Wunck and Sabine Baumann; Proceedings of the 2017 IEEE European Technology and Engineering Management Summit (E-TEMS) “Digital Transformation for Advanced Manufacturing – Managing Technological Challenges”, Munich, Germany; 2018

of Prof. Dr.-Ing. Christoph Wunck



Edge Datenwirtschaft in der nachhaltigen automatisierten Fertigungswirtschaft

Duration: 2022 - 2025



Duration: 2022 - 2025