ACM-PRIS 2023 - 2023 5th International Conference on Pattern Recognition and Intelligent Systems (PRIS 2023)

Website https://www.pris2023.org/ | Edit Freely

Category AI; Data; Machine learning

Deadline: June 30, 2023 | Date: July 28, 2023-July 30, 2023

Venue/Country: Shenyang, China

Updated: 2023-05-31 10:52:02 (GMT+9)

Call For Papers - CFP

2023 5th International Conference on Pattern Recognition and Intelligent Systems (PRIS 2023)

July 28-30, 2023 | Shenyang, China

https://www.pris2023.org/

2023 5th International Conference on Pattern Recognition and Intelligent Systems (PRIS 2023) is organized by Asia Pacific Institute of Science and Engineering(APISE), will be held in Shenyang, China from July 28 to 30, 2023.

This conference is aimed at providing a platform for all researchers and engineers to share ideas, highly developed skills and successful practices to others. The conference will last for 3 days with the reception to be held on the first day to meet and mingle with conference chairs, session chairs and other participants.

We would like to invite you to join us in this important event and share your recent advance development and research finding in Pattern Recognition and Intelligent Systems to all attendees. Besides, it is also a good opportunity for you and your family to enjoy the culture and view in Bangkok. We are looking forward to seeing you in PRIS 2022.

●Publication & Indexing

1, All the registered and presented papers will be included in the volume of ACM International Conference Proceedings Series (ISBN: 978-1-4503-9996-8). The publisher will submit articles to EI Compendex, Scopus, Web of Science and other databases for review and indexing after publication. Selected papers with great extension will be recommended to publish on international journal.

2, Selected papers with great extension will be recommended to publish in international journal.

PRIS 2021/2020 conference proceeding has been indexed by EI Compendex!

●Speakers

Prof. Nick Freris

Senior Member of ACM and IEEE

University of Science and Technology of China, China

Nick Freris is Professor in the School of Computer Science at USTC, and Vice Dean of the International College. He received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), Greece, in 2005, and the M.S. degree in Electrical and Computer Engineering, the M.S. degree in Mathematics, and the Ph.D. degree in Electrical and Computer Engineering all from the University of Illinois at Urbana-Champaign (UIUC) in 2007, 2008, and 2010, respectively.

His research lies in AIoT/CPS/IoT: machine learning, distributed optimization, data mining, wireless networks, control, and signal processing, with applications in power systems, sensor networks, transportation, cyber security, and robotics.

Prof. Philippe Fournier-Viger

Shenzhen University, China

Philippe Fournier-Viger (Ph.D) is a Canadian researcher, distinguished professor at Shenzhen University (China). Five years after completing his Ph.D., he came to China in 2015 and became full professor after receiving a talent title from the National Science Foundation of China. He has published more than 375 research papers related to data mining algorithms for complex data (sequences, graphs), intelligent systems and applications, which have received more than 11,000 citations. He is the founder of the popular SPMF data mining library, offering more than 250 algorithms to find patterns in data, cited in more than 1,000 research papers. He is former associate edito-in-chief of the Applied Intelligence journal and has been keynote speaker for over 15 international conferences and co-edited four books for Springer. He is a co-founder of the UDML, PMDB and MLiSE series of workshops held at the ICDM, PKDD, DASFAA and KDD conferences.

●Topics of interest include,but are not limited to:

Artificial Intelligence

Applications of intelligent systems

Biomedical Image Analysis

Biometrics

Computer Vision

Data Mining

Deep learning

Document Analysis

Image and video processing

Image understanding

Machine Learning

Pattern Recognition

Retrieval Signal Processing

●Paper Submission

Submission Email: pris_conferencevip.163.com

Electronic Submission System: https://cmt3.research.microsoft.com/PRIS2023

●Notice

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 and Duplicate submission are prohibited;

5) Innovation and scientific value is a must.

●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_conferencevip.163.com

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 pris_conferencevip.163.com

for further information.

3,Reviewer: We sincerely welcome experts in the areas above join the conference as reviewer.

●Contact us

Ms. Yury Yu

E-mail: pris_conferencevip.163.com

Tel: +852-30506939 | +86-19136072802

WeChat: APISE17358663189

Website: https://www.pris2023.org/