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Oleg Gusikhin
Global Data Insight & Analytics, Ford Motor Company
United States
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Brief Bio
Oleg Gusikhin is a Technical Leader at Ford Global Data, Insight and Analytics (GDI&A) Organization. Before joining GDI&A, he was the Manager and Technical Leader of the Advanced Connected Services and Mobility Applications Department at Ford Research & Advanced Engineering. He received his Ph.D. from the St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences, an MS in Electrical Engineering from St. Petersburg State Technical University, and an MBA from the Ross Business School at the University of Michigan. For over 20 years, he has been working at Ford M
otor Company in different functional areas. During his tenure at Ford, Dr. Gusikhin has been involved in the design and implementation of advanced information technology and intelligent control for manufacturing and vehicle systems. Dr. Gusikhin is a Fellow of INFORMS and a Certified Fellow in Production and Inventory Management by the American Production and Inventory Control Society. He is a recipient of three Henry Ford Technology Awards, 2014 INFORMS Daniel H. Wagner Prize and the 2009 Institute of Industrial Engineers Transactions Best Application Paper Prize in Scheduling and Logistics. He is an Industry Vice-Chair of IFAC Technical Committee "Manufacturing Modeling for Management and Control,” and a Lecturer in the Industrial and Operations Engineering department at the University of Michigan.
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Jeroen Ploeg
Research and Technology Development, Siemens Industry Software Netherlands B.V.
Netherlands
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Brief Bio
Jeroen Ploeg received the M.Sc. degree in mechanical engineering from Delft University of Technology, Delft, The Netherlands, in 1988 and the Ph.D. degree in mechanical engineering on the control of vehicle platoons from Eindhoven University of Technology, Eindhoven, The Netherlands, in 2014. He is currently with 2getthere, Utrecht, The Netherlands, were he leads the research and development activities in the field of cooperative automated driving for automated transit systems, in particular platooning. Since 2017, he also holds the position of part-time Associate Professor with the Mechanical Engineering Departm
ent, Eindhoven University of Technology, Eindhoven, The Netherlands. From 1989 to 1999, he was with Tata Steel, IJmuiden, The Netherlands, where his interest was in the development and implementation of dynamic process control systems for large-scale industrial plants. He was with TNO, Helmond, The Netherlands, from 1999 until 2017, ultimately as a Principal Scientist in the field of vehicle automation and road safety assessment. His research interests include control system design for cooperative and automated vehicles, in particular string stability of vehicle platoons, the design of interaction protocols for complex driving scenarios, and motion control of wheeled mobile robots.
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Markus Helfert
Innovation Value institute, Maynooth University
Ireland
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Brief Bio
Markus Helfert is a Professor at Maynooth University, Innovation Value Institute (Ireland) and the Director of the Business Informatics Group at Maynooth University. He is a Principle Investigator at Lero – The Irish Software Research Centre and at the Adapt Research Centre. His research is centred on Digital Service Innovation, Smart Cities and IoT based Smart Environments and includes research areas such as Service Innovation, Intelligent Transportation Systems, Smart Services, Building Information Management, FinTech, Data Value, Enterprise Architecture, Technology Adoption, Analytics, Business Process Managem
ent. Prof. Helfert is an expert in Data Governance Standards and is involved in European Standardisation initiatives. He advises small and medium sized Enterprise in relation to Innovation and IT Management. Helfert has received national and international grants from agencies such as European Union (FP7; H2020), Science Foundation Ireland and Enterprise Ireland, was project coordinator on EU projects, and is the Project coordinator of the H2020 Projects: PERFORM on Digital Retail.
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Karsten Berns
Department Of Computer Science, University of Kaiserslautern-Landau
Germany
http://agrosy.informatik.uni-kl.de/
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Brief Bio
Prof. Dr. Karsten Berns has studied computer science with a special focus on artificial intelligence at the University of Kaiserslautern (1982 to 1988). For his research on "Neural Networks for the Control of a six-legged Walking Machine" he received his PhD from the University of Karlsruhe in 1994. As head of the IDS (Interactive Diagnosis and Service Systems) department of the FZI Research Center for Information Technology, Karlsruhe (till 2003) he examined adaptive control concepts for different types of service robots. Since 2003 he is a full professor at the University of Kaiserslautern. Present research act
ivities are the realization of reliable, complex autonomous robotic systems. Therefore, he and his research group are developing the robotic middleware Finroc, the behavior-based control architecture iB2C as well as different validation and verification methodologies. The main application is off-road robotics, in which autonomous or semi-autonomous vehicles like small trucks, excavators, harvesters, tractors, and rescue robots are under development.Prof. Berns is frequently reviewer of several journals and robotic conferences. Furthermore, he is a member of a number of editorial boards. He also acts as reviewer for several national and international funding organizations. He is member of the IEEE, the Gesellschaft für Informatik (GI) and the CLAWAR Association. He is a member of the executive committee of the German Robotics Association (DGR) and is leader of the technical committee for robotic systems of the GI. He was Dean of the department of computer science at the University of Kaiserslautern (2007 – 2010) and is member of the scientific directorate Schloss Dagstuhl - Leibniz Center for Informatics of the Dagstuhl Seminar. Currently, he is spokesperson of the Center for Commercial Vehicle Technology (ZNT) at the University of Kaiserslautern.
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