Welcome to BIGML 2021
2nd International Conference on Big Data, Machine learning and Applications (BIGML 2021)
May 29~30, 2021, Vancouver, Canada
Scope Call for Participation Program Schedule
2nd International conference on Big Data, Machine learning and Applications (BIGML 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science and Information Technology.
Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms New
Call for Papers
2nd International conference on Big Data, Machine learning and Applications (BIGML 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big data and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data, Machine learning and applications.
Topics of interest include, but are not limited to, the following
Big Data
Big Data Techniques, models and algorithms
Big Data Infrastructure and platform
Big Data Search and Mining
Big Data Security, Privacy and Trust
Big Data Applications, Bioinformatics, Multimedia etc
Big Data Tools and systems
Big Data Mining
Big Data Management
Cloud and grid computing for Big Data
Machine Learning and AI for Big Data
Big Data Analytics and Social Media
5G and Networks for Big Data
Machine learning & Applications
Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Smart city
Fog Computing
Cloud Computing
IoT
Computer Vision
Bayesian Network
Data Mining
Paper Submission
Authors are invited to submit papers through the conference Submission System by CLOSED. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from BIGML 2021, after further revisions, will be published in the special issue of the following journal.
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal of Computer Networks & Communications (IJCNC) - Scopus, ERA Indexed
International Journal of Wireless & Mobile Networks (IJWMN) - ERA Indexed
International Journal of Mobile Network Communications & Telematics (IJMNCT)
Advances in Vision Computing: An International Journal (AVC)
Information Technology in Industry (ITII) New- ESCI(WOS) Indexed
Invited Talk
David C. Wyld
Southeastern Louisiana University,
USA
Proceedings
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library
Speakers
Yao Hu
National Institute of Informatics, Japan
Chia-Mei Chen
National Sun Yat-sen University, Taiwan
Menghe Zhang
University of California,
USA
Olufemi Odegbile
University of Florida,
USA
Jude Tchaye-Kondi
Beijing Institute of Technology, China
Michiko Miyamoto
Akita Prefectural University,
Japan
Gyula Klima
Fordham University,
USA
John Jenq
Montclair State University,
USA
Felipe Cujar Rosero
University of Narino, Colombia
Mamdouh Monif,
AL Andalus University, Syria
Faisal Y Al Yahmadi,
Military Technological College, Oman
Sarbagya Ratna Shakya
University of Southern Mississippi, USA
Jiangjiang (Jane) Liu
Lamar University, USA
Xin Yang
Middle Tennessee State University, USA
Vaibhav S. Pawar
Annasaheb Dange College of Engineering & Technology (ADCET), India