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).

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