2021 International Workshop on Big Data and Computing (WBDC 2021) will be held in Beijing, China during December 3-5, 2021.
We sincerely invite you to participate in the 2021 International Workshop on Big Data and Computing (WBDC 2021).
In recent years, “Big Data” has become a new ubiquitous term. Big data and computing are emerging research fields that have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines. It has also become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications.
WBDC 2021 is a showcase of next generation technologies and techniques from the globe of big data and computing, a chance to explore and find out the practical and successful implementation of big data computing in driving forward your profession for a better future. The aim of WBDC 2021 is to present the latest research and results of scientists related to big data and computing topics. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. The conference topics are big data science, infrastructure and platforms, applications, trends and challenges as well as visualization of big data.
Authors are invited to contribute original research papers that can be submitted electronically via the submission system below.
WBDC is organized by The Hong Kong Society of Robotics and Automation(HKSRA).
On behalf of organizing committee
(Prof. Prabhat K. Mahanti) University of New Brunswick, Saint John, Canada
Prospective authors are welcome to submit your research paper to WBDC 2021 to wbdc@hksra.org
Please Download the Full paper template here: Paper Template
Abstract Submission (Presenters): the submitted abstract should contain a sufficient summary of the paper and outline of goals, results and conclusion, including conveying sufficient understanding when reading in isolation from the paper. Abstract Template
*WBDC 2020 has been successfuly held online during Nov. 14-16, 2020.
*In light of the ongoing Coronavirus (COVID-19) developments and travel restrictions issued, we have made the tough decision to change the conference WBDC 2020 to be held online on Nov. 14-16, 2020.
Abstract Submission: April 10, 2021
Full Submission: May 15, 2021
Author Notification: June 15, 2021
Final Version: July 10, 2021
Registration: July 10, 2021
Main Conference: Dec.3-5, 2021
We sincerely welcome professors, associate professors, teachers and other experts in the areas of Big Data and Computing join the conference as a reviewer. We sincerely welcome you to send email to wbdc@hksra.org for further information. Your request will be processed in 5 working days. Sincerely welcome you to join us.
The 1st WBDC has been held at The University of British Columbia | Vancouver Campus, in Vancouver, Canada on Aug. 23-25, 2019.
All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
Selected papers will be recommended to be published in Journals.
We always welcome scientists, scholars, researchers, professors, engineers and managers from all over the world to join our WBDC 2020 conference as speakers, committee members, presenters, listeners and volunteers, to communicate with other participants on the topic of common interest and bring home the newest research findings, so as to improve the scientific innovations on Big Data and Computing.
If you are interested in joining us, please feel free to contact us via the conference official email: wbdc@hksra.org.
Dr. Rohan Loveland
Whitman College, USA
"Far Point Algorithm: Active Semi-supervised Clustering for Rare Category Detection"
Ramya Ravichandran
University of Windsor, Indian
"Solving Dynamic Multi-Objective Optimization Problems Using Cultural Algorithm based on Decomposition"