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    ICDPR 2021 - 5th International Conference on Data Processing and Robotics (ICDPR 2021)

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    Website http://www.icdpr.org/ | Edit Freely

    Category Artificial intelligence;control;robotics;machine learning

    Deadline: September 20, 2020 | Date: January 14, 2021-January 16, 2021

    Venue/Country: Phuket, Thailand, Thailand

    Updated: 2020-07-23 17:38:04 (GMT+9)

    Call For Papers - CFP

    Call for Paper

    5th International Conference on Data Processing and Robotics (ICDPR 2021)--EI/Scopus

    Jan. 14-16, 2021 | Phuket, Thailand

    Web: http://www.icdpr.org/

    5th International Conference on Data Processing and Robotics (ICDPR 2021) is a workshop of CCEAI 2021, which is supported by Asia Pacific Institute of Science and Engineering. ICDPR 2021 will take place in Phuket, Thailand from Jan. 14-16, 2021. ICDPR 2021 is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference. Join key researchers and established professionals in the field of Data Processing and Robotics as they assess the current state-of-the-art and roadmap crucial areas for future research.

    ●Publication and Indexing

    All the accepted papers will be published in the volume of conference proceeding, which will be submitted to Engineering Village, Scopus, Thomson Reuters (WoS) and other databases for review and indexing.

    ●Keynote Speaker(Continuous update)

    Prof. Dan Zhang, York University, Canada

    Dr. Dan Zhang is a Kaneff Professor and Tier 1 York Research Chair in Advanced Robotics and Mechatronics, as well as the Chair of the Department of Mechanical Engineering at York University. Fellow of the Canadian Academy of Engineering (CAE), ASME Fellow, CSME Fellow. Dr. Zhang's research interests include robotics and mechatronics; high performance parallel robotic machine development; sustainable/green manufacturing systems; rehabilitation robot and rescue robot.

    Prof. Pierre Larochelle, South Dakota School of Mines & Technology, USA

    Pierre Larochelle (Ph.D., Mechanical Engineering, University of California at Irvine) is the Department Head and a Professor of Mechanical Engineering at the South Dakota School of Mines & Technology. He is a Fellow of the American Society of Mechanical Engineers (ASME), a Senior Member of IEEE, and a member of Tau Beta Pi, Pi Tau Sigma, ASEE, and the Order of the Engineer. His research focuses on the design of complex robotic mechanical systems and enabling creativity and innovation in design.

    Prof. Zhengtao Ding, University of Manchester, UK

    He is the author of the book: Nonlinear and Adaptive Control Systems (IET, 2013) and has published over 200 research articles. His research interests include nonlinear and adaptive control theory and their applications, more recently network-based control, distributed optimization and distributed learning, with applications to power systems and robotics. Prof. Ding has served as an Associate Editor for the IEEE Transactions on Automatic Control, IEEE Control Systems Letters, Transactions of the Institute of Measurement and Control, Control Theory and Technology, Mathematical Problems in Engineering, Unmanned Systems, and the International Journal of Automation and Computing, etc. He is a member of IEEE Technical Committee on Nonlinear Systems and Control, IEEE Technical Committee on Intelligent Control, and IFAC Technical Committee on Adaptive and Learning Systems.

    ●Topics(for more topics: http://www.icdpr.org/CFP.html)

    Networked and Distributed Intelligent Control

    Tele-robotics and Tele-operation

    Data Integration, Interoperability, and Metadata

    Real Time Supervisory Control

    Fuzzy Systems, Neuro-Fuzzy Systems

    Ubiquitous Data Management and Mobile Databases

    Adaptive Control Systems

    Control Theory and Application

    Query processing, query optimization, and data structures

    Embedded Systems

    Artificial Neural Networks in robotics or automation

    Data Privacy and Security

    Mobile and Autonomous Systems

    Estimation and Identification

    Data Mining

    Virtual Systems

    Artificial Intelligence in Biosystems

    ●Paper Submission

    Submission Email: icdpr@apise.org

    You can submit your full paper through electronic submission system:https://cmt3.research.microsoft.com/ICDPR2021

    ●Call for participants

    1,Presenter: If you are interested in giving presentation on conference,without publishing your paper in the proceeding,you need to submit the abstract and title of your presentation to us: icdpr@apise.org

    2,Listener: You are welcome to attend this great event. You need to complete the registration as Listener before the registration dealdine.Send email to icdpr@apise.org for further information.

    3,Reviewer: We sincerely welcome experts in the areas of Data Processing and Robotics join the conference as reviewer.

    ●Contact Us

    Ms.Linda Lee

    Email: icdpr@apise.org

    Tel:+852-30506939( Hong Kong)

    Web: http://www.icdpr.org/


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.