International Conference on Computer Science and Machine Learning (CSML2023)

January 02 ~ 03, 2023, Zurich, Switzerland

SCOPE

International Conference on Computer Science and Machine Learning (CSML 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science and Machine Learning. The Conference looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. 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 Computer Science, Engineering, Information Technology and Machine Learning.


TOPICS OF INTEREST 

PAPER SUBMISSION 

SAMPLE TEMPLATE 

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

OTHER CONFERENCES 

COURTESY 

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 CSML 2023, after further revisions, will be published in the special issue of the following journals


SUPPORTED BY 

CONFERENCE PROCEEDINGS

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

SPEAKERS 

Luiza Nacshon

Senior Security Engineering

Israel 

Bob Zigon

Beckman Coulter

USA 

Junfei Zhang

The University of Melbourne & University of Copenhagen, Australia 

Gontlafetse Mosweunyane

University of Botswana

Botswana 

Tae Hyun Kim

Yonsei University College of Medicine

south korea 

Gabor Knyihar

Budapest University of Technology and Economics

Hungary