Welcome to BIOM 2021
International Conference on Big Data, IoT and Machine Learning (BIOM 2021)
October 29 ~ 30, 2021, Vienna, Austria
Scope
International Conference on Big Data, IoT and Machine Learning (BIOM 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Internet of Things (IoT) and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data, IoT and Machine Learning.
Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms New
Call for Papers
International Conference on Big Data, IoT and Machine Learning (BIOM 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Internet of Things (IoT) and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data, IoT and Machine Learning.
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 Big Data, IoT and Machine Learning.
Topics of interest include, but are not limited to, the following
5G and Networks for Big Data
Big Data Analytics and Social Media
Big Data Applications, Bioinformatics, Multimedia etc
Big Data Infrastructure and platform
Big Data Management
Big Data Mining
Big Data Search and Mining
Big Data Security, Privacy and Trust
Big Data Techniques, models and algorithms
Big Data Tools and systems
Cloud and grid computing for Big Data
Connectivity and Networking
Deep Learning
Electronics and Signal processing for IoT
Experimental Results and Deployment Scenarios
Internet of Things
IoT Applications and Services
IoT-enabled Innovation and Entrepreneurship
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Machine Learning and AI for Big Data
Machine Learning Applications
Security and Privacy for IoT
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 BIOM 2021, after further revisions, will be published in the special issue of the following journal.
International Journal of Data Mining & Knowledge Management Process (IJDKP)
International Journal of Database Management Systems (IJDMS)
Machine Learning and Applications: An International Journal (MLAIJ)
Advances in Vision Computing: An International Journal (AVC)
International Journal of Grid Computing & Applications (IJGCA)
International Journal of Ambient Systems and Applications (IJASA)
Proceedings
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library
Speakers
TianGe (Terence) Chen
Coding Minds Academy, USA
Angel Chang
Coding Minds Academy, USA
Yew Kee WONG
Huang Huai University, China
Junaid Ali
Indian Institute of Technology, India
Qian Zhang
USA
Jason Wu
USA
Weicheng (Jack) Wang
USA
Prudhvi Parne
Bank of Hope and University of Louisiana at Lafayette, USA
Adel Elmessiry
AlphaFin, Nashville, TN, USA
Tom Davis
Renewable Energy Alliance, Lichtenstein, USA
Tan Yongliang
Yunnan University, China
Monkgogi Mudongo
University of Botswana, Botswana
Sponsors
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