Special Session 1: Modern Techniques and Applications for IoT Devices, Communication Circuits and Systems
This special section aims to provide a knowledge-sharing platform for researchers who contribute to designing and implementing devices and applications for IoTs and some modern communication systems.
Special Session Chair
Prof. Dr.Mitchai Chongcheawchamnan, Prince of Songkla University, Email: email@example.com
Special Session 2: Digital Transformation Technology
The technological era changes rapidly and continuously, impacting behavioral adaptability, business models, and innovations. This accelerates the use of digital technology in the public and private sectors, especially in data services where online transactions increase rapidly. The digital industry aims to develop products and services that effectively respond to customers’ needs or behavior changes. As a result, all countries need to accelerate the competitiveness of their industry to be advantageous. Digital Transformation Technology is an answer to digital competitiveness and applied science related to designing and creating methodologies and tools to transform existing systems to be more productive and effective by either process-driven or data-driven software and communication tools. To achieve the digital transformation goal, peopleware or digital knowledge workers in digital business need to reskill and upskill to apply digital technology to develop the organization and society in the digital economy era. This novel knowledge will be an essential science to deal with digital technology changes in current and future trends.
This special session provides state-of-the-art Digital Transformation Technology that the researchers need to choose the appropriate tools for Digital Process Management or Data Science domain. The research works presented in this special session must reveal academic or business collaboration networks within their works on national or international levels. In addition, the research must show their contribution in applying the process-driven or data-driven strategy for a community or an organization. Hence, the researchers could present their knowledge and ability to apply digital transformation technologies, research ethics, and cybersecurity awareness to form the Digital Transformation models together with their skills and research experiences.
Research Paper Topics:
- Digital Transformation Technology
- Digital Technology Design
- Digital Transformation Model in Healthcare/Agriculture/Education/Multimedia
- Digital Process Management
- Process-driven strategy for an organization
- Data Science
- Data-driven strategy for an organization
- Digital Innovation Entrepreneurship
- Digital Twin
- Information Technology and related topics
Special Session Chair
Asst.Prof. Dr.Santichai Wicha, School of Information Technology, Mae Fah Luang University, Email: firstname.lastname@example.org
Special Session 3: Healthcare Monitoring Systems and Applications
Digital technologies are pivotal in delivering essential primary and secondary care healthcare services. Various innovations in health care enable serving the immediate needs of care that patients need and allow dealing with monitoring and care of patients with long-term conditions. To this end, digital healthcare solutions promise a new transformation in the operation and delivery of many healthcare services.
In the rising demand for limited and expensive resources, performing routine monitoring with an affordable autonomous evaluation system and freeing human labor for higher-value services will increasingly become essential. One way to address these problems is by creating intelligent remote monitoring environments that can autonomously monitor and analyze activities to enable patients to live more independently and provide access to much-needed real-time data to healthcare professionals.
Recent developments in digital health care solutions harness developments in many fields, including the capability for remote monitoring using wireless communication, body area networks, micro and nanodevices, machine learning, and computer vision. The integration/ combination of ICT technologies, including machine learning algorithms based on multi-view metric learning to fuse multi-source /sensory data, allows new possibilities in which the digital health care solution fills the current gaps in primary and secondary care.
This session will present the latest research and development efforts by the DigiHealth-Asia project and relevant papers from the conference’s main track.
Special Session Chairs
Asst.Prof. Dr.Pradorn Sureephong, Chiang Mai University, Email: email@example.com
Dr.Surapong Uttama, Mae Fah Luang University, Email: firstname.lastname@example.org
Special Session 4: Erasmus+ Joint Session on Automation and Industry 4.0
Automation and Industry 4.0 Technologies play a pivotal role in addressing the substantial challenges confronting the global landscape in the present era. The Erasmus+ Project titled “Education & Training for Automation 4.0 in Thailand (ETAT)” and FACTORI 4.0 jointly hold the objective of facilitating the investigation and enhancement of universities encompassed within the Thailand East Economic Corridor (EEC). Aligned with this aspiration, the organizers of the Erasmus+ Joint Session on Automation and Industry 4.0 aim to make a meaningful contribution through the integration of ETAT and FACTORI 4.0 projects within the framework of this conference. Moreover, this session extends to providing a platform for the presentation of additional scholarly contributions linked to the domain of Education & Training for Automation 4.0.
Special Session Chairs
Asst.Prof. Dr.Prajaks Jitngernmadan, Burapha University, Email: email@example.com
Asst.Prof. Dr.Warangkhana Kimpan, King Mongkut’s Institute of Technology Ladkrabang, Email: firstname.lastname@example.org
Asst.Prof .Dr.Roungsan Chaisricharoen, Mae Fah Luang University, Email: email@example.com
Special Session 5: Transforming Innovative Ideas to Intelligent System
Special Session Chair
Asst.Prof. Dr.Watchareewan Jitsakul, King Mongkut’s University of Technology North Bangkok, Email: firstname.lastname@example.org
Special Session 6: Advance Digital Technology and Innovation
In this special session, we will organize it as a co-host session for Sustainable Partnership. We welcome All Related Topics in Digital Technology and Innovation.
Key Topic: Education Technology, Metaverse and Virtual Reality Applications, Artificial Intelligence Applications, Multimedia Processing, Blockchain Applications, Advance Digital Technology, and Related innovation Topics
Special Session Chair
Asst.Prof. Dr.Datchakorn Tancharoen, Panyapiwat Institute of Management, Email: email@example.com
Special Session 7: Advances in Biomedical Signal Processing special focus on Deep Learning Algorithms
Biomedical signal processing has made tremendous strides in recent years, catalyzed by the convergence of sophisticated signal acquisition technologies and the growing prominence of deep learning techniques. This special session is dedicated to exploring the transformative impact of deep learning algorithms in the field of biomedical signal processing. With an ever-expanding array of applications ranging from disease diagnosis and treatment monitoring to neuro-imaging and genomics, deep learning has emerged as a powerful tool for deciphering complex patterns within biomedical data.
This special session invites researchers, engineers, and practitioners to share their innovative work and insights into leveraging deep learning for biomedical signal processing. Topics of interest include, but are not limited to:
• Deep learning for medical image analysis: Exploring state-of-the-art convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for image segmentation, disease detection, and anomaly identification.
• Signal denoising and enhancement: Techniques that employ deep neural networks to remove noise, artifacts, and enhance the quality of biomedical signals such as EEG, ECG, and fMRI.
• Clinical decision support systems: The development of intelligent systems that aid healthcare professionals in diagnosis and treatment planning through the integration of deep learning algorithms.
• Genomic data analysis: Utilizing deep learning to extract meaningful insights from vast genomic datasets, enabling advancements in precision medicine and genomics research.
• Wearable and remote monitoring: Innovations in wearable devices and remote monitoring solutions enhanced by deep learning to enable continuous health tracking and early disease detection.
This special Session aims to foster collaboration, knowledge, exchange, and discussion on the latest methodologies, challenges, and breakthroughs in the application of deep learning algorithms to advance biomedical signal processing. We welcome submissions from both academia and industry, encouraging participants to present their cutting-edge research and contribute to the ongoing evolution of healthcare and biomedical sciences.
Prof Mahesh Chavan, KOLHAPUR INSTITUTE OF TECHNOLOGY, KOLHAPUR INDIA