Prof. Dr. -Ing. Jochen Deuse Institute for Production Systems (IPS), TU Dortmund University Prof. Dr.-Ing. Jochen Deuse, born in 1967, studied Mechanical Engineering at Dortmund University, Germany, and Manufacturing Technology at the University of Limerick, Ireland. Afterwards he gained his doctorate in engineering (Dr.-Ing.) at the Laboratory for Machine Tools and Production Engineering (WZL) at RWTH Aachen University, Germany. Throughout his career, he held senior management positions in the Bosch Group in Germany and Australia, before joining the Technical University of Dortmund, Germany, to become head of the chair of Industrial Engineering in 2005. In 2012 the chair of Industrial Engineering and the chair of Industrial Robotics and Production Automation merged to form the Institute of Production Systems (IPS) under the direction of Prof. Deuse. Prof. Deuse is also a member of several scientific networks and research associations and a member of the board at the industry network NIRO e.V.
Marcel Dix Scientist Industrial Data Analytics, ABB Marcel Dix received a Dipl.-Inform. (FH) degree in computer science in 2001 from Technischen Hochschule Mannheim, University of Applied Sciences. In 2001 he joined ABB Corporate Research as scientific employee for Industrial Software and Applications. In 2012 he received an extra-occupational MBA in General Management from Europäische Fernhochschule Hamburg, University of Applied Sciences. Since 2012 his research focus at ABB Corporate Research is on Industrial Data Analytics.
Dr. Olga Erohin Corporate Development Division Professional Technology, Miele Olga Erohin received her Diploma in Industrial Engineering and her PhD from TU Dortmund University, Germany. 2016 she was presented with the MTM Award for her PhD thesis in the field of knowledge discovery for prospective time determination. From 2010 to 2015 she worked as research assistant at the Institute for Production Systems in Dortmund. She joined Miele in 2015 as technical assistance in the Division Professional Technology and is now responsible for corporate development
Roger Feist Head of Automation, Achenbach Buschhütten Roger Feist studied electrical engineering at the Technical University of Dortmund. After graduating in 1991, he worked as a developer for rolling-mill automation-software, later for robotics-simulation software. 2005 he became functional safety expert for tüv nord until he decided to return to his first employer in 2009. In his current position he is responsible for the automation of rolling-mills at Achenbach Buschhütten. He is a passionate promoter of model-based development and virtual commissioning. Since 2015 he is strongly engaged in the development of cloud-based solutions for the metals industry.
Dr. Gabriel Fricout Head of Surface Properties, Data and Signal Processing, Arcellor Mittal Gabriel Fricout holds a PhD in mathematical morphology. Since 2013 he leads the “surface properties, data and signal processing” (SPID) team within ArcelorMittal’s Measurement and Control R&D cluster. The main focus of this 10 persons R&D team, including three PhD students, involves on-line surface characterization through the deployment of industrial innovative sensors, real-time processing of the data coming out of these sensors for process and product quality improvement and data mining. In the framework of his research activities, Gabriel Fricout has supervised 6 PhDs covering various areas of physics, including fluid mechanics and spectroscopy, or computer sciences, including reinforcement learning, deep learning and data mining. Gabriel Fricout also is the coordinator of the EU-sponsored RFCS project PRESED (Predictive Sensor Data Mining) dedicated to time series data mining and member of the Intelligent Integrating Manufacturing (ESTEP / EUROFER). PRESED is a project involving 6 partners, including RapidMiner, dedicated to data mining on time series.
Ferdinand Klenner BMW
Ralf Kretschmer Director Segment Professional Laundry Technology, Miele Dipl.-Ing. Ralf Kretschmer, studied mechanical engineering at the University of Paderborn from 1997 to 2003. Since 2013, he worked at Miele & Cie. KG in various roles in product development (Produktentwicklung) and 9 years as head of the foundry, casting, and metal cutting unit (Leiter der Gießerei und Spanabhebenden Fertigung). Since January 1st, 2016, he is Director of the Segment Professional Laundry Technology (Leiter Segment Professional Wäschereitechnik) at Miele. From 2005 to 2008, in parallel to his employment, Ralf Kretschmer studied business management at Distance University Hagen and obtained the degree “Betriebswirt IWW“. At Miele, he was active so far mainly in the theory and practice of the product emergence process (Produktentstehungsprozess), especially from product design (Entwicklung) to process planning (Prozessplanung). From 2012 to 2015, Ralf Kretschmer focused on the prediction of assembly steps early in the product emergence process (prospektive Bestimmung von Montagearbeitsinhalten im Produktentstehungsprozess) and the use of machine learning for industrial engineerung within a research project sponsored by the German government (BMBF).
Sven Krzoska Volkswagen
Daniel Lieber Deputy Operations Manager Rolling Mill & Forging Shop Witten, Deutsche Edelstahlwerke Daniel Lieber received his Diploma in Industrial Engineering from TU Dortmund University, Germany. From 2010 to 2013 he worked as research assistant at the Institute for Production Systems in Dortmund. During this period he has been team member in the Collaborative Research Center SFB 876 and representative of the industrial case study at Deutsche Edelstahlwerke. Daniel Lieber joined Deutsche Edelstahlwerke in 2013 as technical customer advisor and project manager for specialty steel long products in aerospace applications. Since 2016 he is deputy operations manager of the rolling mill and forging shop in Witten.
Prof. Dr. Katharina Morik Artificial Intelligence Group, Computer Science Department, TU Dortmund University Katharina Morik obtained her PhD from University of Hamburg in 1981 and her habilitation from Technical University of Berlin in 1988. Since 1991 she is professor at TU Dortmund University, where she heads the Artificial Intelligence Unit with a focus on Machine Learning and Data Mining. The broad range of methods include statistical learning algorithms like Support Vector Machines (SVM) and graphical models. The analysis of very large data sets and high-dimensional data under resource constraints is investigated for data streams and distributed data. She participated in numerous European research projects and coordinated the European project MiningMart (2000 – 2003). Currently she works on the analysis of data streams for traffic planning and smart cities in the European VaVel project. Katharina has authored more than 200 publication in recognized journals and conferences. She supports open source software development. Examples of which are the first efficient implementation of a Support Vector Machine, namely SVM_light by Thorsten Joachims, which was started at her AI unit, as well as the predictive analytics platform RapidMiner initiated by Ralf Klinkenberg, Ingo Mierswa, and Simon Fischer. In 2011, she established the Collaborative Research Center SFB 876 on Machine Learning under Resource Constraints. Within the 13 projects of SFB 876, 20 professors and 50 PhD students conduct research on resource-constrained data analysis and embedded systems.
Dr. Regina Wallis Strategic Series Management, Daimler Dr. Regina Wallis studied industrial engineering in a double degree program at Karlsruhe Institute of Technology (KIT), Germany, and Grenoble INP, France. She did her doctorate “Data-Mining-based Generation of Assembly Process Plans in the Digital Factory” in cooperation with the department of Digital Planning Methods Daimler Trucks. Currently she works as a project coordinator in the Strategic Series Management at Daimler AG.
Dr. Fabian Werner Data Science Consultant, Lufthansa Industry Solutions Fabian Werner studied computer science and mathematics in Darmstadt. After receiving his Ph.D. in number theory (mathematics) in 2014, he moved to Hamburg where he worked with Opera. He was responsible for the design of a real-time recommender engine for advertisement on mobile devices handling thousands of requests per second. In 2016, he joined Lufthansa Industry Solutions as a Data Science consultant. At the moment his projects focus is on the airline business (in particular Lufthansa Passage), where he works on different projects regarding the prediction of aircraft and passenger movements.