3rd International Conference on Big Data, IoT and Machine Learning (BIOM 2023)

November 18 ~ 19, 2023, Zurich, Switzerland

Hybrid--Registered authors can present their work online or face to face New 

SCOPE

3rd International Conference on Big Data, IoT and Machine Learning (BIOM 2023) 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 the following areas, but are not limited to. 

PAPER SUBMISSION 

SAMPLE TEMPLATE 

TOPICS OF INTEREST 


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



PAST EVENTS 

COURTESY 

SUPPORTED BY

SPEAKERS 

Oghenetejiri Okporokpo

Nottingham Trent University

United Kingdom 

KELVIN OVABOR

THE UNIVERSITY OF ALABAMA

USA 

Bong Gon Kim

State University of New York at Stony Brook

USA 

Peter Hillmann

University of the Bundeswehr Munich

Germany 

Kaoutar Clero

Moroccan Foundation for Advanced Science

Morocco 

Zahra Pourahmad

Berlin International University of Applied Sciences

Germany 

Wulfrano Arturo Luna Ramírez

Universidad Autónoma de México

Mexico 

Daniel Zentai

xtendr

Hungary 

Rohit Khankhoje

Independent Researcher, Avon

USA