4th International Conference on Big Data and Machine Learning (BDML 2023)


March 18 ~ 19, 2023, Vienna, Austria 

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms New

Scope & Topics   Call for Participation Program Schedule


4th International Conference on Big Data and Machine Learning (BDML 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data 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 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 and Machine Learning.

Topics of interest include, but are not limited to, the following:


Big Data

Machine Learning

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).

Speakers

Fahad Alsifiany

King Fahad Security College, Saudi Arabia 

Carina Zheng

China 

Harsha Vijayakumar

USA 

Vladislav Ryzhov

MIPT, Russia 

Qingbo Wang

Nanjing University of Aeronautics and Astronautics, China 

Yuanyuan Ding

USA 

Mayar Osama

German University in Cairo, Egypt 

Jiuyu Zhang

USA 

Angelina Zhao

USA 

John Xu

USA 

Jay Pang

USA 

Yirina Wang

USA 

Ikkou Okubo

The University of Tokyo, USA 

Chun Kit Fu

USA 

Crystal Chong

USA 

Proceeding

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library