Professor Armando Walter Colombo

Professor Armando Walter Colombo

University of Applied Sciences, Emden/Leer, Germany

Learning, Living and Working with Industrial Systems-of-Cyber-Physical Systems.
(Overviewing Training and Education Requirements)

May 10, 2021 07:20-08:20 PDT

Abstract:

After presenting the scientific and technical background behind Industrial Systems-of-Cyber Physical Systems (ICPS), their relationship to other frameworks like Systems‐of‐Systems Engineering, Industry 4.0, Industrial Internet‐of‐Things (IIoT), and associated technology standardization/normalization initiatives (such as e.g. DIN SPEC 91345 RAMI4.0), this Plenary Talk offers an overview of major requirements to educating, teaching, training people (workers with or without decision-making responsibilities in an Industry 4.0 system, as well as students, technicians and engineers) for learning, living and working with Systems-of-ICPS in a digitalized eco-system.

The audience/participants of the Talk will get a deep view about:

  • Which is the minimal necessary pre-existing Know-How for trainees, students and teachers/lecturers in order to educate for learning, living and work (engineering, operating, interacting with ISoCPS?
  • What and How to learn ISoCPS? (Recommendations for graduated and post-graduate students, as well as for industrialists)
  • What and How to educate and teach ISoCPS? (Recommendations for trainees, educators, teachers, etc.). Lessons learned from own experience educating ICPS at Master Degree level.
  • Which should be the essential and unavoidable body of knowledge for building an educational curriculum for learning ISoCPS (presentation and discussion of an exemplary curriculum for achieving a Master of Sciences in Industrial Informatics with Specialization in Industrial Cyber-Physical Systems)?
  • Biography:
    Prof. Dr.-Ing. Armando Walter Colombo joined the Department of Electrotechnical and Industrial Informatics at the University of Applied Sciences Emden-Leer, Germany, became Full Professor in August 2010 and Director of the Institute for Industrial Informatics, Automation and Robotics (I2AR) in 2012. Prof. Colombo worked also during 17 years (2001-2018) as Manager Director for Collaborative Innovation Projects and also as Edison Level 2 Group Senior Expert at Schneider Electric, Industrial Business Unit.

    Prof. Colombo received the BSc. on Electronics Engineering from the National Technological University of Mendoza, Argentina, in 1990, the MSc. on Control System Engineering from the National University of San Juan, Argentina, in 1994, and the Doctor degree in Engineering from the University of Erlangen-Nuremberg, Germany, in 1998. From 1999 to 2000 was Adjunct Professor in the Group of Robotic Systems and CIM, Faculty of Technical Sciences, New University of Lisbon, Portugal. During the last 15 years he has also been working as Invited Professor at the University of Loughborough and University of Warwick (UK), University of Tampere (Finland), ITMO University (Russia), Universidad Tecnologica Nacional (UTN) (Argentina), BUAP (Mexico)

    Prof. Colombo has extensive experience in managing multi-cultural research teams in multi-regional projects. He has participated in leading positions in many international research and innovation projects related to the area of Industrial Informatics. His research interests are in the fields of industrial cyber-physical systems, industrial digitalization and system-of-systems engineering, Internet-of-Services, Industry 4.0-compliant solutions.

    He is member of the IEEE IES Administrative Committee (AdCom), member of the Fellow Committees of the IEEE IES, IEEE SMS and IEEE CS, and IES representative by the IEEE Systems Council. He is co-founder of three IEEE IES Technical Committees (i) on Industrial Agents, (ii) on Industrial Informatics and (iii) on Industrial Cyber-Physical Systems.

       

    Professor Xinghuo Yu

    Professor Xinghuo Yu

    RMIT University, Australia

    Engineering Cyber-Physical Systems: A Nature-Inspired Simplexity Approach

    May 10, 2021 15:00-16:00 PDT

    Abstract:

    Cyber-Physical Systems (CPS) represent a broad range of complex, physically aware engineered systems which integrate information and communication technologies (ICT) into physical systems for efficient and effective automation and control. A typical example is a smart grid which allows affordable and secure power supply and use while helping reduce carbon footprints. Recent fast ICT advances have made situation awareness possible for better management and operation of CPS. This has also led to explosive growth of spatio-temporal information and complexity. An innovative way of thinking and doing is needed to tackle these large-scale complex problems efficiently and effectively.

    In this talk, we will first review recent developments in CPS and their challenges. We will then advocate a novel problem-solving paradigm, the so-called simplexity approach underpinned by a ‘simple solutions for complex problems’ philosophy, to deal with large-scale complex CPS. Several nature-inspired methodologies such as AI, swarm intelligence and complex networks will be examined. Challenging issues for the simplexity approach for CPS will be outlined. Some real-world problems, such as money laundering network detection and autonomous microgrid network for power supply from our own research projects, will be used as case studies.

    Biography:
    Distinguished Professor Xinghuo Yu is an Associate Deputy Vice-Chancellor and a Vice-Chancellor’s Professorial Fellow at RMIT University (Royal Melbourne Institute of Technology), Melbourne, Australia. He is also the Junior Past President of IEEE Industrial Electronics Society. His main research areas include control systems engineering, intelligent and complex systems, and future energy systems. He received many awards and honours for his contributions, including the 2018 MA Sargent Medal from Engineers Australia, the 2018 Australasian AI Distinguished Research Contribution Award from Australian Computer Society, and the 2013 Dr.-Ing. Eugene Mittelmann Achievement Award from IEEE Industrial Electronics Society. He was one of the 15 Shortlist Nominees for the 2020 Global Energy Prize and named a Highly Cited Researcher by Clarivate Analytics in 2015-2020 consecutively. He is a Fellow of IEEE, Engineers Australia, Australian Computer Society, and Australian Institute of Company Directors.

       

    Professor Bin Liang

    Professor Bin Liang

    Tsinghua University, Beijing, China

    Space Robots: From Rigid Manipulators to Flexible Ones

    May 11, 2021 07:00-08:00 PDT

    Abstract:

    Space robotics is known as an inter-discipline research area that has close ties with advanced manufacturing, information and communication technology, and intelligent control. Although it serves as a promising and powerful tool to diverse aero-space applications including spacecraft repair and maintenance, space junk clean-up, and large space system construction, there are also great challenges. In this report, we will firstly summarize the current status and the prospects of the space robot technique along with its applications in on-orbit servicing. Then the technical challenges and new research findings of freefloating space robots are introduced. Finally, we cover the technical difficulties and progress of the next-generation flexible thin and long space manipulator which has strong motion capacity.

    Biography:

    Prof. Bin Liang was born in 1968, Jiangxi Province, China. He was recommended for admission to the 1st "Educational Reform Pilot Class" in Northwestern Polytechnical University, Xi'an, China, where he received B.Sc and M.Sc degrees in control engineering in 1988 and 1991, respectively. He received the Ph.D degree in precision instruments from Tsinghua University, Beijing, China in 1994. From Dec. 1994 to Oct. 2007, he worked as a researcher with China Aerospace Science and Technology Corporation(CASC). In Nov. 2007, he joined Tsinghua University (THU), Beijing, China, where he is currently a Professor with the Department of Automation and the leading director of Institute of Navigation and Control. His research interests include Robotics, Teleoperation, Intelligent Control, etc.

    Since 2007, he has been the Chief Expert in the intelligent robot of National Hi-tech Research and Development Program of China (known as 863 Program). He was a Senior Research Fellow at Chinese University of Hong Kong, China, and a Senior Researcher with EADS Transportation, Astrium, Germany. He was also a visiting scholar at Carnegie Mellon University (CMU), USA. He is now vice Directing Member of China Society of Image and Graphics and was ever vice Directing Member of Chinese Society of Astronautics. He has authored and co-authored 2 books, 2 Book Chapters, 30 Patents and more than 50 research papers. He was awarded three first-class prizes for provincial and ministerial level scientific and technological progress (2014, 2012 and 2007), and one Supreme Prize for National Science and Technology Progress Award (2015).

       

    Professor Tongwen Chen

    Professor Tongwen Chen

    Department of Electrical and Computer Engineering, University of Alberta, Canada

    Intelligent Alarm Monitoring of Complex Industrial Processes

    May 11, 2021 08:00-09:00 PDT

    Abstract:

    In operating industrial facilities, alarm systems are configured to notify operators about any abnormal situation. The industrial standards (EEMUA and ISA) suggest that on average an operator should not receive more than six alarms per hour. This is, however, rarely the case in practice as the number of alarms each operator receives is far more than the standard.

    There exist strong industrial needs and economic benefits for better interpreting and managing the alarms, and redesigning the alarm systems to reduce false and nuisance alarms, and increase the alarm accuracy. In this talk, we plan to summarize our recent work in this new area, targeting an intelligent and data-based approach, called “alarm analytics,” and presenting a new set of advanced tools for alarm visualization, performance evaluation and analysis, alarm rationalization design, alarm flood classification, and root cause analysis, thereby to help industrial processes to comply with the new standards. The tools have been tested with real industrial data and used by process engineers in Canada and elsewhere.

    Biography:

    Tongwen Chen is currently a Professor and Tier 1 Canada Research Chair in Intelligent Monitoring and Control at the University of Alberta, Canada. He received the BEng degree in Automation and Instrumentation from Tsinghua University (Beijing) in 1984, and the MASc and PhD degrees in Electrical Engineering from the University of Toronto in 1988 and 1991, respectively. His research interests include computer and network based control systems, event triggered control, process safety and alarm systems, and their applications to the process and power industries. He is a Fellow of IEEE, IFAC, as well as Canadian Academy of Engineering.

       
     

    More information on other invited speakers will be updated shortly.



    © Copyright © 2018-2019.