PRIS 2021 - 3rd International Conference on Pattern Recognition and Intelligent Systems (PRIS 2021)
Date2021-07-28 - 2021-07-30
Deadline2021-06-30
VenueBangkok, Thailand, Thailand
KeywordsComputer vision; Machine learning; Image processing
Websitehttps://www.pris2021.org
Topics/Call fo Papers
3rd International Conference on Pattern Recognition and Intelligent Systems (PRIS 2021)--Call for Paper
July 28-30, 2021 | Bangkok, Thailand
Web: https://www.pris2021.org/
2021 3rd International Conference on Pattern Recognition and Intelligent Systems (PRIS 2021) will be held in Bangkok, Thailand during July 28-30, 2021. PRIS 2021 is co-organized by Asia Pacific Institute of Science and Engineering(APISE) and Jiangnan University. We warmly welcome prospective authors to submit their new research or technological contributions to PRIS 2021, for sharing valuable experiences with scientists and students from around the world.
●Publication and Indexing
All the registered and presented papers will be published in the volume of ACM International Conference Proceedings Series (ISBN: 978-1-4503-9039-2), which will be submitted to EI Compendex, Scopus, Thomson Reuters (WoS) and other databases for review and indexing.
PRIS 2020 conference proceedings has been indexed by EI.
●Speakers
Prof. Wenbing Zhao, Clevel and State University, USA
IEEE Senior Member, Associate Editor for IEEE Access and for MDPI Computers, Professor in the Department of Electrical Engineering and Computer Science (EECS) at CSU. Dr. Zhao published over 200 peer-reviewed papers in the area of distributed systems (three of them won the best paper award), smart and connected health, computer vision, machine learning, physics, and education. His research interest included Smart and Connected Healthcare, Human Motion Recognition, Human Computer Interactions, Machine Learning, Fuzzy Inference, Computer Vision, Dependable Distributed Systems, Byzantine Fault Tolerance, Intrusion Tolerance, Distributed Consensus, Performability Engineering.
Prof. Irwin King, The Chinese University of Hong Kong, Hong Kong S. A. R., China
President of International Neural Network Society(INNS), IEEE/ACM Senior Member,Associate Editor for ACM TKDD, IEEE TNN and IEEE CIM, Director of Rich Media Big Data Analytics and Application Key Laboratory, Shenzhen Research Institute (SZRI), The Chinese University of Hong Kong, Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. His research interest included in Machine Learning and Neural Networks, Social Computing and Web Intelligence, Multimedia Information Processing and Retrieval.
Prof. Xiaoyi Jiang, University of Münster, Germany
Xiaoyi Jiang studied Computer Science at Peking University and received his PhD and Venia Docendi (Habilitation) degree in Computer Science from University of Bern, Switzerland. He was an associate professor at Technical University of Berlin, Germany. Since 2002 he is a full professor at University of Münster, Germany, and currently the Dean of the Faculty of Mathematics and Computer Science. He is Editor-in-Chief of International Journal of Pattern Recognition and Artificial Intelligence. In addition, he also serves on the advisory board and editorial board of several other journals including IEEE Transactions on Medical Imaging and International Journal of Neural Systems. His research interests include image analysis, pattern recognition, and machine learning. Prof. Jiang is a Fellow of IAPR (International Association for Pattern Recognition) and senior member of IEEE.
Prof. Yonghong Peng, Manchester Metropolitan University, UK
Prof Peng is a Professor of Artificial Intelligence and the Director of the Centre for Advanced Computational Science at the Manchester Metropolitan University UK. Prior to that, Prof Peng is a Professor of Data Science and the founding director for the Centre of Research and Innovation in Data Science at the University of Sunderland UK. He is research interest includes AI and Data Science and their application to health informatics, genome and precision medicine. He is the Chair for the Big Data Task Force (BDTF) of IEEE computational intelligence society (CIS), and a member of Data Mining and Big Data Analytics Technical Committee of IEEE CIS. He is also a founding member of the Technical Committee on Big Data (TCBD) of IEEE Communications, and a member of Big Data Task Force of China Information Industry Association (CIIA). He is an advisory board member for IEEE Special Interest Group (SIG) on Big Data for Cybersecurity. He is an Associate Editor for IEEE Transaction on Big Data, IEEE Access, and an Academic Editor of PeerJ and PeerJ Computer Science.
Prof. Saman Halgamuge, The University of Melbourne, Australia
SAMAN HALGAMUGE, is a Fellow of Institute of Electrical and Electronics Engineering (IEEE), USA, and a Distinguished Lecturer/Speaker appointed by IEEE in the area of Computational Intelligence. He is currently a Professor in the Department of Mechanical Engineering, School of Electrical, Mechanical and Infrastructure Engineering at the University of Melbourne, an honorary Professor of School of Electrical, Energy and Materials Engineering at Australian National University (ANU). He was previously the Director of the Research School of Engineering at the Australian National University (2016-18) and held Professor, Associate Dean International, Associate Professor and Reader and Senior Lecturer positions at University of Melbourne (1997-2016).
●Topics of interest for submission include, but are not limited to:
Artificial Intelligence
Biomedical Image Analysis
Biometrics
Computer Vision
Data Mining
Document Analysis
Image Processing
Machine Learning
Pattern Recognition
Retrieval Signal Processing
●Paper Submission
1. You can choose to submit your paper directly to: pris_conference-AT-vip.163.com
2. You can submit your full paper through electronic submission system:
https://cmt3.research.microsoft.com/PRIS2021
●Notes
1. Manuscripts must be written in English;
2. The manuscript should be written in accordance with the standard of template;
3. The topics of paper should be relevant to conference topics;
4. Plagiarism is prohibited;
5. Duplicate submission is prohibited;
●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: pris_conference-AT-vip.163.com
2. Listener: You are welcome to attend this great event. You need to complete the registration as Listener before the registration deadline.
3. Reviewer: We sincerely welcome professors, associate professors, teachers and other experts in the areas of Pattern Recognition and Intelligent Systems join the conference as a reviewer.
●Contact Us:
If you have any question, please feel free to contact our conference secretary.
Ms. Linda Lee
Tel: +852-30506939(English)| +86-17723329879(Chinese)
Welcome you to contact us by Email: pris_conference-AT-vip.163.com
Website: https://www.pris2021.org/
July 28-30, 2021 | Bangkok, Thailand
Web: https://www.pris2021.org/
2021 3rd International Conference on Pattern Recognition and Intelligent Systems (PRIS 2021) will be held in Bangkok, Thailand during July 28-30, 2021. PRIS 2021 is co-organized by Asia Pacific Institute of Science and Engineering(APISE) and Jiangnan University. We warmly welcome prospective authors to submit their new research or technological contributions to PRIS 2021, for sharing valuable experiences with scientists and students from around the world.
●Publication and Indexing
All the registered and presented papers will be published in the volume of ACM International Conference Proceedings Series (ISBN: 978-1-4503-9039-2), which will be submitted to EI Compendex, Scopus, Thomson Reuters (WoS) and other databases for review and indexing.
PRIS 2020 conference proceedings has been indexed by EI.
●Speakers
Prof. Wenbing Zhao, Clevel and State University, USA
IEEE Senior Member, Associate Editor for IEEE Access and for MDPI Computers, Professor in the Department of Electrical Engineering and Computer Science (EECS) at CSU. Dr. Zhao published over 200 peer-reviewed papers in the area of distributed systems (three of them won the best paper award), smart and connected health, computer vision, machine learning, physics, and education. His research interest included Smart and Connected Healthcare, Human Motion Recognition, Human Computer Interactions, Machine Learning, Fuzzy Inference, Computer Vision, Dependable Distributed Systems, Byzantine Fault Tolerance, Intrusion Tolerance, Distributed Consensus, Performability Engineering.
Prof. Irwin King, The Chinese University of Hong Kong, Hong Kong S. A. R., China
President of International Neural Network Society(INNS), IEEE/ACM Senior Member,Associate Editor for ACM TKDD, IEEE TNN and IEEE CIM, Director of Rich Media Big Data Analytics and Application Key Laboratory, Shenzhen Research Institute (SZRI), The Chinese University of Hong Kong, Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. His research interest included in Machine Learning and Neural Networks, Social Computing and Web Intelligence, Multimedia Information Processing and Retrieval.
Prof. Xiaoyi Jiang, University of Münster, Germany
Xiaoyi Jiang studied Computer Science at Peking University and received his PhD and Venia Docendi (Habilitation) degree in Computer Science from University of Bern, Switzerland. He was an associate professor at Technical University of Berlin, Germany. Since 2002 he is a full professor at University of Münster, Germany, and currently the Dean of the Faculty of Mathematics and Computer Science. He is Editor-in-Chief of International Journal of Pattern Recognition and Artificial Intelligence. In addition, he also serves on the advisory board and editorial board of several other journals including IEEE Transactions on Medical Imaging and International Journal of Neural Systems. His research interests include image analysis, pattern recognition, and machine learning. Prof. Jiang is a Fellow of IAPR (International Association for Pattern Recognition) and senior member of IEEE.
Prof. Yonghong Peng, Manchester Metropolitan University, UK
Prof Peng is a Professor of Artificial Intelligence and the Director of the Centre for Advanced Computational Science at the Manchester Metropolitan University UK. Prior to that, Prof Peng is a Professor of Data Science and the founding director for the Centre of Research and Innovation in Data Science at the University of Sunderland UK. He is research interest includes AI and Data Science and their application to health informatics, genome and precision medicine. He is the Chair for the Big Data Task Force (BDTF) of IEEE computational intelligence society (CIS), and a member of Data Mining and Big Data Analytics Technical Committee of IEEE CIS. He is also a founding member of the Technical Committee on Big Data (TCBD) of IEEE Communications, and a member of Big Data Task Force of China Information Industry Association (CIIA). He is an advisory board member for IEEE Special Interest Group (SIG) on Big Data for Cybersecurity. He is an Associate Editor for IEEE Transaction on Big Data, IEEE Access, and an Academic Editor of PeerJ and PeerJ Computer Science.
Prof. Saman Halgamuge, The University of Melbourne, Australia
SAMAN HALGAMUGE, is a Fellow of Institute of Electrical and Electronics Engineering (IEEE), USA, and a Distinguished Lecturer/Speaker appointed by IEEE in the area of Computational Intelligence. He is currently a Professor in the Department of Mechanical Engineering, School of Electrical, Mechanical and Infrastructure Engineering at the University of Melbourne, an honorary Professor of School of Electrical, Energy and Materials Engineering at Australian National University (ANU). He was previously the Director of the Research School of Engineering at the Australian National University (2016-18) and held Professor, Associate Dean International, Associate Professor and Reader and Senior Lecturer positions at University of Melbourne (1997-2016).
●Topics of interest for submission include, but are not limited to:
Artificial Intelligence
Biomedical Image Analysis
Biometrics
Computer Vision
Data Mining
Document Analysis
Image Processing
Machine Learning
Pattern Recognition
Retrieval Signal Processing
●Paper Submission
1. You can choose to submit your paper directly to: pris_conference-AT-vip.163.com
2. You can submit your full paper through electronic submission system:
https://cmt3.research.microsoft.com/PRIS2021
●Notes
1. Manuscripts must be written in English;
2. The manuscript should be written in accordance with the standard of template;
3. The topics of paper should be relevant to conference topics;
4. Plagiarism is prohibited;
5. Duplicate submission is prohibited;
●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: pris_conference-AT-vip.163.com
2. Listener: You are welcome to attend this great event. You need to complete the registration as Listener before the registration deadline.
3. Reviewer: We sincerely welcome professors, associate professors, teachers and other experts in the areas of Pattern Recognition and Intelligent Systems join the conference as a reviewer.
●Contact Us:
If you have any question, please feel free to contact our conference secretary.
Ms. Linda Lee
Tel: +852-30506939(English)| +86-17723329879(Chinese)
Welcome you to contact us by Email: pris_conference-AT-vip.163.com
Website: https://www.pris2021.org/
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Last modified: 2021-05-31 16:51:43