2022 2nd International Conference on Statistics, Applied Mathematics and Computing Science(CSAMCS 2022) will be held during November 25-27, 2022 in Nanjing, China. The conference is organized by Nanjing university and co-organized by Nanjing University of Science and Technology, Nanjing Audit University, Jiangsu association for Applied Statistics, Jiangsu Society of Probability and Statistics and SIR Forum. CSAMCS is an annual conference which has been held successfully online and attracted more than 100 scholars and experts last year. CSAMCS2022 is a hybrid conference combing both in-person and virtual experiences. CSAMCS2022 mainly covers topics on Applied mathematics, statistics, intelligent computation, computing science and application, etc. CSAMCS2022 welcomes all high-quality research papers and presentations from related research fields. The conference will invite distinguished speakers to deliver keynote speeches and invited talks. The idea of the conference is for scientists, scholars, engineers, and students from all over the world to present ongoing research activities, and hence strengthen existing partnerships and foster new collaborations.
Full Paper Submission Date: November 18, 2022
Registration Deadline: Novermber 20, 2022
Final Paper Submission Date: November 21, 2022
Conference Dates: Novermber 25-27, 2022
Best Oral Presentation Award
A panel of judges evaluates each speaker and determines the winners for the best oral presentations. The winners of this award will receive a personalized certificate of recognition and one prize of 300 CNY.
Best Paper Award
Best Paper Award will be awarded to the best paper presented at the conference. The best paper will be selected based on the technical quality and the review process of the initial full paper. The Award consists of a Certificate and one prize of 500 CNY to the author of the Best paper.
I. Submit to Conference Proceedings
All accepted full papers will be published in SPIE - The International Society for Optical Engineering (ISSN: 0277-786X) and will be submitted to EI Compendex / Scopus for indexing.
CSAMCS 2021 丨EI Compendex 丨SCOPUS
Note: All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is totally unacceptable academic misconduct and cannot be tolerated.
II. Submit to Human-Centric Intelligent Systems Journal (ISSN Online: 2667-1336)
Human-Centric Intelligent Systems is an international, peer-reviewed journal which is owned by KEO (Henan) Education Technology Co. Ltd (KEO). Publishing services are provided by Springer Nature on behalf of KEO which owns the copyright to the journal. Peer review is under the responsibility of KEO. The journal is dedicated to disseminating the latest research findings on all theoretical and practical applications in human-centric intelligent systems, and to providing cutting-edge theoretical and algorithmic insights in human-centric computing and analytics.
Journal Website: https://www.springer.com/journal/44230
Author Guidelines: https://www.springer.com/journal/44230/submission-guidelines
Submission Link: https://www.editorialmanager.com/hcin Please contact Ms. Du if you have any questions.
Email: email@example.com Tel: +86-17719865132
Ⅲ. Submit to SCI journal
Call for Excellent Papers to SCI Journal（Submission with notes of "CSAMCS2022" will enjoy priority in review.）
Excellent papers will be recommended directly to the following or other suitable SCI journals :
1. CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES(ISSN:1526-1492, IF:2.027, CAS Q4)
2. MAPAN-Journal of Metrology Society of India(ISSN:0970-3950, IF:1.446, CAS Q4)
3. Computer Communications（ISSN:0140-3664, IF:5.047, CAS Q3）
For more information about SCI papers and journals, please feel free to contact MS. Dong(WeChat/Mobile phone:+86 17320189207) or MS. Wang(+86 19139737380)