Call for Paper
2017 International Conference on Artificial Intelligence and Information Technology (CAIIT 2017)—Ei& CPCI
Oct. 20th-22nd, 2017 │Hong Kong
Website: http://www.caiit.org/

2017 International Conference on Artificial Intelligence and Information Technology (CAIIT 2017) will be held in Hong Kong during Oct. 20th-22nd, 2017. CAIIT 2017 is organized by Hong Kong International Society of Academic Research (HKISAR). This conference is a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their recent research results and development activities in Artificial Intelligence and Information Technology. This conference provides opportunities for all participants to exchange new ideas and to find global partners for future collaboration. We sincerely invite all the researchers, scholars, engineers, students and people who interested in these fields to take part in CAIIT 2017.

●Publication and Indexing
1. All the submissions will be peer reviewed by our Conference Committee Members, and all the accepted papers will be included in the conference proceedings, which will be published by IOP Publishing in the volume of Journal of Physics: Conference Series (JPCS)(ISSN: 1742-6596), indexed by Ei Compendex, Scopus, CPCI, CNKI, IET and other academical databases.
2. If you don't want to publish your paper, you can just submit your abstracts to us and be a presenter to give a presentation in the conference.
3. Outstanding papers in our conference proceedings will be recommended to be published in international journals.

●Topics (for more topics: http://www.caiit.org/cfp.html)
Artificial Intelligence
Information Theory and Information Systems
Information processing methods and techniques
Information Technology Applications

●Paper Submission
1. Submit to Electronic Submission System:https://cmt3.research.microsoft.com/CAIIT2017
2. Submit to Emailbox: hkcaiit@163.com
3. All the papers must be written in English and must be original. Any published paper or copied paper will be rejected without reviewing.

●Contact Us
Website: http://www.caiit.org/
E-mail: hkcaiit@163.com
Tel: +852 53011707 (Hong Kong)
+86 17828056510