Special Session:
Multimodal Data and Multidisciplinary Applications (MDMA)
Introduction
There have been many useful applications
using different types of data, including sensor
data, wearable biometrics, texts, images, audios,
and other kinds of information and knowledge
source. As a result, building robust learning
models using a large volume of multimodal data
sources that can serve the daily needs of
different people has become challenging over
several years. It is still inquiring about
efficiently processing and analyzing data from
other sources, correctly extracting relevant
features, and combining distinct features
properly to enrich the performance of the state-
of-the-art models.
This special session aims to discuss multiple
challenges of utilizing multimodal data to create
relevant products of daily lives and provide a
forum for researchers and developers to share
new ideas, research results, and the latest
applications in data science and artificial
intelligence. The first special session was
successfully organized in Nha Trang at KSE
2022.
Relevant topics include, but are not limited
to, as follows:
- Data analytics in multimedia content
- Data engineering
- Knowledge engineering
- Internet of Things (IoT)
- Image and video processing
- Machine learning techniques for
multimodal data
- Recommendation system techniques
using multimodal content
- Big data analysis and modeling
- Content-based searching and retrieval
platform
- Deep learning applications in multimodal
content (audio, image, video, text)
- Sentiment analysis in multimedia content
- Intelligent systems and multimodal
services
- Practical tools and applications in
multimedia content
- Natural language processing and
thematic classification
- Other applications using multimodal data
(healthcare, e-commerce, logistics,
environment, blockchain, etc.)
Session Organizers
- Assoc. Prof. Binh T. Nguyen,
University of Science, Vietnam National
University Ho Chi Minh City, Vietnam
- Dr. Dao Minh Son, National Institute
of Information and Communications
Technology (NICT), Japan.
- Dr. Nguyen Tat Bao Thien, University
of Information Technology, Vietnam
National University Ho Chi Minh City,
Vietnam
Important Dates: (GMT +8:00) See Important Dates
- Full Paper Deadline:
15 June 2024 30 July 2024 (Rigid Deadline)
- Acceptance Notification: 20 September 2024
- Camera-ready Paper Deadline: 23 October 2024
Paper Submission
The papers of this session will be printed in proceeding of main conference which will be published by
IEEE and be available at the conference. Papers should be submitted through the online paper submission system:
Submission Link: https://submit.confbay.com/sub?view=submit&acid=1465
Select Sub-theme: “Special Session: Multimodal Data and Multidisciplinary Applications”
Authors are invited to submit papers of up to 6 pages, written in English, in PDF format and compliant
with the IEEE standard. The submissions will be peer-reviewed for originality and scientific quality.
(https://www.ieee.org/conferences/publishing/templates.html).
Contact Information
- Assoc. Prof.. Binh T. Nguyen, University of Science, Vietnam National University Ho Chi Minh
City, Vietnam (ngtbinh@hcmus.edu.vn)
- Dr. Dao Minh Son, NICT, Japan (dao@nict.go.jp)
- Dr. Nguyen Tat Bao Thien, University of Information Technology, Vietnam National University
Ho Chi Minh City, Vietnam (thienntb@uit.edu.vn)
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