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ICCDA 2026 : Springer--2026 The 10th International Conference on Computing and Data Analysis (ICCDA 2026) | |||||||||||
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Call For Papers | |||||||||||
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Full Name: 2026 The 10th International Conference on Computing and Data Analysis (ICCDA 2026)
Website: https://www.iccda.org Conference Date: December 18-20, 2026 Conference Venue: Phuket, Thailand ICCDA 2026 will be located in Phuket, Thailand during December 18-20, 2026. It is co-sponsored by Rajamangala University of Technology Srivijaya, Thailand and University of Thessaly, Greece. International Conference on Computing and Data Analysis (ICCDA) is an annual conference held each year. It is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of computing and data analysis. ==Conference Committees== Advisory Chair KWONG Sam Tak Wu (IEEE Fellow), Lingnan University, Hong Kong, China General Chairs Jun Shen, University of Wollongong, Australia Vassilis C. Gerogiannis, University of Thessaly, Greece Kornkanok Phoksawat (Dean, Faculty of Management Technology), Rajamangala University of Technology Srivijaya, Thailand Technical Program Chairs Jeng-Shyang Pan (IET Fellow), Nanjing University of Information Science and Technology, China Chunguo Li (IET Fellow), Southeast University, China Prabhat K. Mahanti, University of New Brunswick, Canada Chattrakul Sombattheera, Mahasarakham University, Thailand Local Organizing Chairs Kornkanok Phoksawat, Rajamangala University of Technology Srivijaya, Thailand Phusana Polsongkram, Rajamangala University of Technology Srivijaya, Thailand Anisara Sungchuai, Rajamangala University of Technology Srivijaya, Thailand Publication Chairs David Greenhalgh, University of Strathclyde, UK Sabah Mohammed, Lakehead University, Canada Area Chair Chidchanok Lursinsap, Chulalongkorn University, Thailand Publicity Chairs Krzysztof Koszela, Poznan University of Life Sciences, Poland Nopparat Pochai, King Mongkut's Institute of Technology Ladkrabang, Thailand Ming Xie, Nanyang Technological University, Singapore Kiran Kumar Pattanaik, Atal Bihari Vajpayee-Indian Institute of Information Technology and Management, India More Details please click: https://www.iccda.org/com.html Keynote Speaker Prof. KWONG Sam Tak Wu (IEEE Fellow) Lingnan University, Hong Kong, China Associate Vice-President (Strategic Research) J.K. Lee Chair Professor of Computational Intelligence Prof. Tok Wang LING National University of Singapore, Singapore ==Publication== Conference Proceedings Accepted papers, after proper registration and presentation, will be published in Lecture Notes on Data Engineering and Communications Technologies (LNDECT) by Springer as a proceedings book volume. Electronic ISSN: 2367-4520 Print ISSN: 2367-4512 The book series is indexed by EI Compendex, SCOPUS, INSPEC, SCImago and other databases. Journal Recommendation Selected registered paper can be recommended for potential publication in the following two journals. Journal of Advances in Information Technology (JAIT) ISSN: 1798-2340 (Online) Abstracting/Indexing: ESCI (Web of Science), Scopus, DOAJ, CNKI, EBSC CiteScore: 5.2 & JCR: Q3 International Journal of Computer Theory and Engineering (IJCTE) ISSN: 1793-8201 (Print), 2972-4511 (Online) Abstracting/Indexing: Scopus, CNKI, Google Scholar, ProQuest, EBSCO CiteScore: 4.0 & JCR: Q4 ==Topics== (Topics of interest for submission include, but are not limited to:) ▷Foundations ▪ Mathematical, probabilistic and statistical models and theories ▪ Machine learning theories, models and systems ▪ Knowledge discovery theories, models and systems ▪ Manifold and metric learning ▪ Deep learning ▪ Scalable analysis and learning ▪ Non-iidness learning ▪ Heterogeneous data/information integration ▪ Data pre-processing, sampling and reduction ▪ Dimensionality reduction ▪ Feature selection, transformation and construction ▪ Large scale optimization ▪ High performance computing for data analytics ▪ Architecture, management and process for data science ▷Data analytics, machine learning and knowledge discovery ▪ Learning for streaming data ▪ Learning for structured and relational data ▪ Latent semantics and insight learning ▪ Mining multi-source and mixed-source information ▪ Mixed-type and structure data analytics ▪ Cross-media data analytics ▪ Big data visualization, modeling and analytics ▪ Multimedia/stream/text/visual analytics ▪ Relation, coupling, link and graph mining ▪ Personalization analytics and learning ▪ Web/online/social/network mining and learning ▪ Structure/group/community/network mining ▪ Cloud computing and service data analysis ▷Storage, retrieval and search ▪ Data warehouses, cloud architectures ▪ Large-scale databases ▪ Information and knowledge retrieval, and semantic search ▪ Web/social/databases query and search ▪ Personalized search and recommendation ▪ Human-machine interaction and interfaces ▪ Crowdsourcing and collective intelligence More Details please click: https://www.iccda.org/cfp.html ==Submission Instructions== ▪Language: All submissions should be written in English. ▪Submission Types: Abstract submission for presentation only without publication; Full paper submission for both presentation and publication. ▪Paper Length: The submitted papers should be no less than 10 pages in one columns. When paper exceeds 12 printed pages, including all figures, tables, and references, extra page will be charged 60 USD per page. ▪Submission Method: ▪By online: https://confsys.iconf.org/submission/iccda2026 ▪By email: send your paper to iccda_Conf@yeah.net. ==Conference Program== December 18, 2026 | 10:00 - 17:00 | Registration & Materials Collection December 19, 2026 | 09:30 - 09:35 | Opening Remark December 19, 2026 | 09:35 - 12:30 | Keynote & Invited Speeches December 19, 2026 | 12:30 - 14:00 | Lunch December 19, 2026 | 14:00 - 19:45 | Oral Presentation Sessions December 20, 2026 | 10:00 - 18:00 | Invited Speeches & Oral Presentation Sessions ==Contact Us== Conference secretary: Ms. Tessa Chen Email: iccda_Conf@yeah.net Office Hour: 9:30--18:00, Monday to Friday (GMT+8 Time Zone) |
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