The Third
International Conference
on Intelligence of Things
FPT University, Da Nang, Vietnam
September 12-14, 2024

Introduction

The International Conference on Intelligence of Things (ICIT) is an international conference on the current state of technology and the outcome of ongoing research in the areas of the Artificial Intelligence of Things, Internet of Things, Telecommunication Systems, Intelligent Systems, and their applications. The conference is technically sponsored by IEEE SMC.

ICIT International Conference Proceedings by Springer will be archived in Springer Digital Library (https://link.springer.com/conference/icit3) and indexed by the Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science) and Scopus.

After the second successful organization, the 3rd ICIT 2024 continues to be organized by FPT University Danang (FUDN), Hanoi University of Mining and Geology (HUMG), HCMC University of Technology, Vietnam National University of Agriculture (VNUA), Ho Chi Minh City Open University, and Quy Nhon University.

Indexing

Accepted and presented papers will be published by Springer in series Lecture Notes on Data Engineering and Communications Technologies, indexed by the Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science) and SCOPUS (Q3).
https://www.scimagojr.com/journalsearch.php?q=21100975545&tip=sid&clean=0

Venue

ICIT 2024 will be hosted by FPT University Danang (FUDN) in Da Nang City, Vietnam from September 12 to September 14, 2024.





SCImago Journal & Country Rank

Google Scholar

Important Dates.

Deadlines
Submission April 12, 2024 May 31, 2024 (Extended)
Notification June 12, 2024 June 25, 2024
Camera Ready June 26, 2024 June 30, 2024
Registration June 26, 2024 June 30, 2024

Author Guidlines.

All manuscripts have to be formatted according to the templates provided by Springer ( https://www.springer.com/us/authors-editors/conference-proceedings/conference-proceedings-guidelines ) and submitted in a single PDF. The maximum length of a manuscript is up to 10 pages.

Authors are invited to submit their manuscripts electronically as PDF files through EDAS system here.
Online presentation is available for international authors upon request.

Keynote Speakers

Joongheon Kim

Professor, Korea University
https://joongheon.github.io/

Quantum Reinforcement Learning: Concepts, Models, and Applications

In modern deep learning research, the use of quantum computing concepts has been widely and actively considered. By utilizing the concepts of quantum computing, the design and implementation of deep reinforcement learning can be totally re-considered. Moreover, the use of quantum computing can be beneficial in terms of (i) fast convergence during training, (ii) high scalability for large-scale action dimension consideration, and (iii) fewer parameter utilization. Therefore, this presentation introduces the fundamental concepts of quantum reinforcement learning and the related models. Based on the models, various applications have been investigated for autonomous mobility control. The presentation will be concluded with the introduction to various emerging applications.

Richard Chbeir

Professor, University of Pau and Pays de l’Adour
https://liuppa.univ-pau.fr/fr/organisation/membres-1/cv_-rchbeir-fr.html

Data Engineering in IoT

The rise of the Internet of Things has led to an explosion in the amount of data generated by a multitude of connected sensors and devices. Data engineering plays an essential role in meeting the challenges of this new digital era. Data engineering must allow to design robust and scalable architectures to efficiently collect, store, process, and analyze this massive data in real-time. This involves developing secure data flows, implementing appropriate storage solutions, using advanced analytics techniques such as machine learning, and integrating these data with other information sources to obtain valuable insights. The objective is to transform this raw data into actionable information that will optimize processes, enable better decision-making, and provide new experiences to users in the context of the Internet of Things. In this talk, the focus will be mainly put on related data representation, indexing, and pre-processing. Existing solutions addressing these issues will be presented as well as some solutions designed in OpenCEMS research group.

Organizers

The 3rd ICIT 2024 organized by FPT University Danang (FUDN), Hanoi University of Mining and Geology (HUMG), HCMC University of Technology, Vietnam National University of Agriculture (VNUA), Ho Chi Minh City Open University, and Quy Nhon University

FPTU

FPT University

HCMCUT

Ho Chi Minh City University of Technology

VNUA

Vietnam National University of Agriculture

HCMCOU

Ho Chi Minh City Open University

HUMG

Hanoi University of Mining and Geology

QNU

Quy Nhon University