Plenary Speakers

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Speech Title: Decentralized Systems and the Internet of Things

Many Internet of Things protocols, systems and applications are designed under the assumption that all components, albeit distributed across many devices and users, can be operated and managed within a single, centralized, administrative domain. However, large-scale IoT applications such as for smart cities require exchanging data and computation across trust and administrative boundaries. I will describe some of the challenges in designing such decentralized IoT systems, and how they could be addressed through the development and deployment of marketplaces for data and computation, and the application of blockchain technology. 

Prof. Bhaskar Krishnamachari
Department of Electrical Engineering, 
​University of Southern California

Significant Professional Service（Previous Journal Editorial Board Memberships）

• IEEE Transactions on Mobile Computing
• IEEE Transactions on Wireless Communications
• ACM Transactions on Sensor Networks
• Ad Hoc Networks Journal, Elsevier

Significant Recognition

• 2015 Popular Science Brilliant 10
• 2011 Okawa Foundation Okawa Foundation Research Grant Award
• 2011 MIT Technology Review Magazine TR-35, MIT Technology Review's Annual Listing of 35 Top Innovators Under the Age of 35
• 2011 IEEE - Eta Kappa Nu Outstanding Young Electrical and Computer Engineer of the Year
• 2010 ASEE Frederick E. Terman Award
• 2010 Best Paper Award, ACM MobiCom 2010
• 2010 Best Paper Award, ACM/IEEE IPSN 2010
• 2009 USC Ming Hsieh Faculty Fellow in Electrical Engineering
• 2008 USC Stevens Institute Innovation Inside Curriculum Award
• 2006 ACM MSWiM 2006 Best Paper Award
• 2006 EE Department Best Student Paper Award
• 2005 USC Viterbi School of Engineering MacDonald Endowed Early Career Chair
• 2005 EE Department Best Student Paper Award
• 2005 USC Viterbi School of Engineering Outstanding Junior Faculty Research Award
• 2004 ACM/IEEE IPSN 2004 Best Student Paper Award
• 2004 National Science Foundation CAREER Award

Education

• 2002 Doctoral Degree, Electrical Engineering, Cornell University
• 1999 Master's Degree, Electrical Engineering, Cornell University
• 1998 Bachelor's Degree, Electrical Engineering, Cooper Union

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Speech Title: Multi agent systems enabling self-x manufacturing systems (for Industry 4.0)

Multi agent systems are known since long but lacked dependability and real time behavior to be beneficially in industrial manufacturing systems for long. As manufacturing systems need to be more flexible in the future not only due to changed products, but also due to crisis and short-term changes in supply chains a mechanism is required to enable this flexibility.
Multi agent systems will be introduced as a successful implementation of the so called administration shell enabling negotiation in between manufacturing systems in German Industry 4.0. The talk will introduce the concept, industrial applications on the field level and criteria for the decision whether to run MAS on the edge, fog or cloud.

Prof. Dr.-Ing. Birgit Vogel-Heuser
​Department of Mechanical Engineering, Technical University of Munich

Significant Professional Service
     Selected Services

• Member of the VDI/VDE-GMA advisory board (2019-2021)
• Chair of Technical Committee „3.1 Computers for Control“, International Federation of Automatic Control (IFAC) (2012-2014)
• Member of the advisory board of Grammer AG (2017- ~)
• Member of the Münchner Kreis - the orientation for the Digital Transformation leading independent platform providing orientation for decision makers in the digital world (2017 - ~)
• Member of the advisory board of sms group GmbH and sms holding (2016 - ~)
• Member of IEEE IES Technical Committee on Industrial Agents (2015-2017 Coordination team of summer school)
• Member of the German national academy of science and engineering (acatech)
• Member of the board of trustees of Deutsches Museum

     Editorships

• Editor of Computers in Industry (2019)
• Editor of IFAC Journal of Systems and Control (2019)
• Editor of IEEE Transactions on Automation Science and Engineering (IEEE T-ASE) (2019)
• General Chair, IEEE CASE Conference on Automation Science and Engineering, Munich (2018)
• Associated Editor IEEE Transactions on Industrial Informatics (TII) (2016)

Significant Recognition

• Special Award of Initiative D21 (2005)
• Borchers Badge of RWTH Aachen (1991)
• GfR promoting award (1990)
• Adam Opel Award (1989)

Education

• Diplom (Dipl.-Ing), 1987, RWTH Aachen, Electrical Engineering
• Promotion (Dr.-Ing) "summa cum laude", 1991, RWTH Aachen, Mechanical Engineering​

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Speech Title: Design of Cooperative and Collaborative Multi-Robotic Systems Using Deep Learning and Broad Learning

​Deep learning (DL) has been widely investigated and applied for frontier mobile robotics. Recently, Broad learning system (BLS), proposed by Philip Chen in 2017, has been shown to work as an effective and efficient incremental learning without the need for deep architecture, thus giving a new paradigm and learning system for AI systems. By incorporating the merits of DL, BLS and intelligent navigation control methods, this talk will present you DL-based or BLS-based novel navigation control frameworks or paradigms for a class of multi-robotic systems in order to achieve desired cooperative navigation control and collaboration. In the short talk, some literature reviews about DLs and BLs are first mentioned, and then four novel DL-based or BL-based navigation control methods are briefly highlighted and demonstrated for their applications to a class of multirobots. First, cooperative localization and formation control approaches using deep and broad neural networks is proposed for a class of omnidirectional multirobots. Second, a collision-free autonomous navigation method using deep-broad learning is presented for a class of gyro-stabilized multiple ball-riding robots. Third, an intelligent formation control method using fuzzy broad learning system (BLS) is proposed for a class of tilting quadrotors. Fourth, a collaborative UAV-UGV system using YOLOv2 is proposed to navigate its working environment and perform object recognition. Last but not least, some perspective topics are recommended for future frontier research on multirobots.

Prof. Ching-Chih Tsai
​Department of Electrical Engineering
, National Chung Hsing University

Significant Professional Service（Journal Editors）

• Fellow, Chinese Automatic Control Society, Taiwan. (since 2009)
• Fellow, the Institution of Engineering Technology (IET) (since 2009)
• Fellow, IEEE (nominated for the Year of 2011)
• Senior Member , IEEE (since 2000)
• Life Member, Chinese Institute of Electrical Engineering, Taiwan, R.O.C. (since 1993)
• Life Member, Chinese Institute of Engineers, Taiwan.
• Life Member, Robotic Society of Taiwan.

Significant Recognition
Society Services

• Founding Chair, Taichung Chapter, IEEE Systems, Man, and Cybernetics (SMCS).
• Chair, IEEE SMCS Technical Committee on Intelligent learning in Control Systems​ Honors and Awards
• Outstanding Engineering Professor Award, Chinese Institute of Engineers, 2009.
• Outstanding Automatic Engineering Award, Chinese Automatic Control Society, 2008.
• Second Prize Award, 2008 National Microcomputer Design Contest on Embedded Systems, Ministry of Education, Taiwan.
• Second Prize Award, 2008 Intelligent Robotic Hand Design Contest sponsored by HIWIN Company, 2008.
• Outstanding Alumni Award, National Taipei University of Technology, Taipei, Taiwan, 2007.
• Outstanding Contribution Award, Chinese Automatic Control Society, 2007 and 1999.
• Third Prize Award, 2007 National Microcomputer Design Contest on Robots and Automatic Machinery, Ministry of Education, Taiwan.
• Best paper Award, the 3rd Intelligent Living Technology Conference, Taichung, Taiwan, 2007.
• Second Prize Award, 2006 National Microcomputer Design Contest on Control, Ministry of Education, Taiwan.
• Third Prize Award, 2006 Altera 2006 Nios Embedded Processor Design Contest, 2006.
• Excellent Paper Award, the 8th international conference on Automation Technology, Automation 2005.
• First Prize Award, 2005 Altera Nios Embedded Processor Design Contest, 2005.
• First Prize Award, 2005 CACS Student Hand-on Paper Contest, Chinese Automatic Control Society.
• Outstanding Service Award, IEEE Control Systems Society, IEEE.
• Second Prize Award, 2003 CACS Student Paper Contest, Chinese Automatic Control Society.
• Outstanding Teaching Award, National Chung-Hsing University, 2002.
• Outstanding Youth Electrical Engineer Award, Chinese Institute of Electrical Engineering, 1999.
• Third Society Prize Paper Award, IEEE Industry Applications Society, 1998.

Education

• Ph.D. 1991 Department of Electrical Engineering, Northwestern University, Evanston, Illinois, U.S.A.
• M.S. 1986 Institute of Control Engineering, National Chiao-Tung University, Hsinchu, Taiwan.
• Diploma 1981 Department of Electrical Engineering, ​National Taipei Institute of Technology, Taipei, Taiwan.