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).


Past Events


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

Sponsors