JSCI8: 8th Joint Symposium on Computational Intelligence Virtual Conference Thailand, May 21, 2020 |
Conference website | https://site.ieee.org/thailand-cis/event/jsci8/ |
Submission link | https://easychair.org/conferences/?conf=jsci8 |
Abstract registration deadline | May 8, 2020 |
Submission deadline | May 8, 2020 |
The Joint Symposium Computational Intelligence (JSCI) is an event which was first organised in 2016. The event was initiated by IEEE Computational Intelligence Society Thailand Chapter (IEEE-CIS Thailand), that aims to support research students and young researchers, to create a place enabling participants to share and discuss on their research prior to publishing their works. The event is open to all researchers who want to broaden their knowledge in the field of computational intelligence. JSCI8 will be held on May 21, 2020. The event will be a Virtual Conference where all participants will be preseting online realtime. The symposium will feature paper presentations as well as an invited talk. This is a very good opportunity to share and discuss your work with other researchers in the field of computational intelligence.
IMPORTANT NOTICE: Due to COVID-19 outbreak, JSCI8 will changed Virtual Conference.
Important Dates
Submission Deadline: 8 May 2020
Notification of Acceptance: 15 May 2020
Camera Ready Submission: 15 May 2020
Registration: 8-15 May 2020
Symposium Date: 21 May 2020, 10:30-17:00
Venue
Virtual Conference
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. If you are interested in presenting your work at this symposium, please submit a paper at https://easychair.org/conferences/?conf=jsci8. The paper must conform to the standard of IEEE Manuscript Templates for Conference Proceedings which is available to download at [IEEE]. A 4 pages paper must be submitted to be reviewed. The papers will be double-blind peer-reviewed. Accepted papers will be available online in JSIC8 proceedings. All JSCI8 papers are invited to extend and submit their revised paper to a special session on the 11th International Conference on Advances in Information Technology (IAIT2020), July 1-3, Bangkok, Thailand, that will be published in ACM conference proceedings.
In addition, selected papers will aslo invite to extend to present at a special session on "Advanced Machine Learning Approaches in Conitive Computing" at the 27th International Conference on Neural Information Processing (ICONIP2020), which requires 10-12 pages Springer format. Selected papers from the ICONIP2020 special session on "Advanced Machine Learning Approaches in Conitive Computing" will be invited to extend to submit in SCI Journal, Scopus indexed.
Committees
Advisory
- Chanboon Sathitwiriyawong (King Mongkut’s Institute of Technology Ladkrabang)
Chair
- Phayung Meesad (King Mongkut’s University of Technology North Bangkok)
Organising Committee
- Kitsuchart Pasupa (King Mongkut’s Institute of Technology Ladkrabang)
- Jonathan H. Chan (King Mongkut’s University of Technology Thonburi)
- Vithida Chongsuphajaisiddhi (King Mongkut’s University of Technology Thonburi)
- Kuntpong Woraratpanya (King Mongkut’s Institute of Technology Ladkrabang)
Keynote Speakers
- Prof.Dr.ing-.habil. Herwig Unger, Fern University in Hagen Germany; Topic: The Next Generation Web Search Engine
- Assoc.Prof.Dr.Phayung Meesad, Faculty of Information Technology, King Mongkut's University of Technology North Bangkok; Topic: Natural Language Processing in Big Data Framework
Topics of Interests
- Artificial Intelligence
- Big Data Analysis/Analytics
- Biometric Analysis/Analytics
- Business Analysis/Analytics
- Computational Intelligence
- Clustering Analysis
- Data Analysis/Analytics
- Data Science/Data Mining
- Evolutionary Computation
- Image/Video Processing
- Machine Learning
- Natural Language Processing & Text Mining
- Neural Network & Deep Learning
- Pattern Classification/Recognition
- Predictive Analytics
- Reinforcement Learning
- Supervised Learning
- Unsupervised Learning
Contact
All questions about submissions should be emailed to phayung.m@it.kmutnb.ac.th