SPECIAL SESSION 1

InCIT 2022: Blockchain and Its Application

Session Chair

Asst. Prof. Dr. Warodom Werapun, Price of Songkla University (PSU)

College of Computing

Email: warodom.w@phuket.psu.ac.th

Abstract

Blockchain technology has generated tremendous interest among governments, enterprises, and academics in the last few years because it provides a transparent, secured, tamper-proof solution without an intermediary.  These properties can be attributed mainly to its consensus mechanism, which enables peer-to-peer activities in a distributed manner and leverages the capacity of the entire network to ensure the immutability of stored data.  We also seek to identify new opportunities and application areas within this developing field.  We strongly encourage original research articles related to this topic and high-quality review articles describing the current state of the art. 

The topics of interest include, but are not limited to, the following:
• DApp and Web3 applications in the real world
• Blockchain use-cases and commercial products
• NFT and its application
• Token engineering and economic analysis
• DeFi, Cryptocurrency, and trading strategy
• Smart contract vulnerability
• Security and privacy of blockchains

SPECIAL SESSION 2

InCIT 2022: Digital Transformation Technology

Session Chair

Dr.Surapong Uttama, Mae Fah Luang University (MFU)

School of Information Technology

Email: surapong@mfu.ac.th

Abstract

The technological era is changing rapidly and still continuously having a significant impact on the behavioral adaptability, business models, and innovations. This accelerates the use of digital technology in public and private sectors, especially in data services where the online transactions increase rapidly. The digital industry is aiming to develop their products and services that can effectively respond to the needs or behavior changes of customers. As a result, all countries need to accelerate the competitiveness of their industry to be advantageous. Digital Transformation Technology is an answer to the digital competitiveness and an applied science related to designing and creating methodologies and tools to transform the 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 so that they can 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 in Digital Transformation Technology that the researchers need to choose the appropriate tools for Digital Process Management or Data Science domain. The research works which will be presented in this special session have to reveal an academic or business collaboration networks on either national or international levels within their works. 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 the 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 3

InCIT 2022: Internet of Things and Artificial Intelligence in Healthcare

Session Chair

Asst.Prof.Dr. Sakorn Mekruksavanich, University of Phayao

School of Information and Communication Technology

Email: sakorn.me@up.ac.th

Abstract

Recent years have seen a tremendous surge in domains like the Internet of Things (IoT). The area of healthcare has always been one of the principal application domains of applied IoT. Clubbed with recent advances in Artificial Intelligence (AI) and Machine Learning, eHealth has emerged to new heights in recent times. With the approach of the COVID-19 pandemic, the entire healthcare sector across the world has received shudders from multifarious aspects, including its capacity and deliverability, promptness in response, connected information and analysis. IoT and AI applied to healthcare makes the domain of eHealth largely transdisciplinary, and especially during the times of COVID-19 pandemic, has opened new frontiers of challenges.

This special session provides the state-of-the-art in highlighting some of the key aspects of IoT and AI in healthcare related to the worldwide domain, especially relevant during the times of COVID-19 pandemic.

The topics of interest include, but are not limited to the following:

  • AI Technologies in Healthcare Applications
  • Remote Medical Concept and Treatment
  • Virtual Healthcare
  • Virtual Consultations and Remote Monitoring With IoT Devices
  • Detection, Diagnosis, and Management Using Artificial Intelligence
  • Electronic Health
  • Virtual Consultations and Remote Monitoring With IoT Devices
  • AI, IoT and Wearable Technology for Smart HealthcareAI for Healthcare Automation

SPECIAL SESSION 4

InCIT 2022: Automatic Driving and Multi-modal models

Session Chair

Asst. Prof. Dr. Jian QU, Panyapiwat Institute of Management (PIM)

Faculty of Engineering and Technology

Email: jianqu@pim.ac.th

Co-Chair

Dr. Sumeth Yuenyong, Mahidol University

Computer Engineering Department

Email: sumeth.yue@mahidol.edu

Abstract

This special session aims to bring together researchers, engineers, students in both academic and Industrial communities who are concerned about Automatic Driving and Multi-modal models. Especially, in areas such as Automatic driving, Information Retrieval, fake news detection, Image and Video Captioning, Image Search and Visual-Language Model.

Automatic driving has been a hot topic in recent years, both academic and Industrial communities have been working on this topic for years. Yet, level-5 full automatic driving does not exist publicly due to complexity of integrating multi-sensor, multi-model in a single driving platform. Tasks such as road tracking, obstacle avoidance and traffic light/signal recognition might conflict with each other, thus resulting in low accuracy of automatic driving performance.

Image Processing(IP) and Natural Language Processing(NLP) are two main areas of AI. In order to move closer to general AI, recent research has been focusing on multi-modal models where the AI model receives more than one type of input, such as the visual-language model. Multi-modal models are able to do tasks which are not possible for single-modal models. Such multi-modal models have shown good performance in complicated tasks such as fake news detection or Image and Video Captioning.

The topics of interest include, but are not limited to the following:

• Automatic driving
• Model optimization for automatic driving
• Image and Video Captioning
• Image Search
• Visual-Language Model
• Information Retrieval
• Fake news detection