Special Sessions

Special session RAIDS 2024:

IoT Technologies for HealthCare

 

by Prof. Ludovic KOEHL, University of Lille, ENSAIT & GEMTEX, Lille, France

Assoc. Prof. Dr. habil. Kim Phuc TRAN, Graduate School MADIS-631, University of Lille, ENSAIT & GEMTEX, Lille, France

Prof. Gérard DRAY, IMT Mines Alès, France

Prof. Jinlian HU, City University of Hong Kong

This special session covers multiple aspects of using IoT in healthcare and brings together technology experts, researchers, industry, and international authorities contributing towards the design, development, and deployment of healthcare solutions based on IoT technologies, standards, and procedures. In addition, AI applications in healthcare are also of high interest in this conference. This year the emphasis will be on using IoT and AI in healthcare for societal benefit – towards improved health and wellbeing for everyone.

Date of submission: 20/08/2024

Code of session: 6rdss61

Special session RAIDS 2024:

Safety and Security in Internet of Things

 

by Assoc. Prof. Dr. habil. Kim Phuc TRAN, Graduate School MADIS-631, University of Lille, ENSAIT & GEMTEX, Lille, France

Prof. Cédric HEUCHENNE, HEC Management School, University of Liège, Belgium

Assoc. Prof. Thu Huong TRUONG, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam

Assist. Prof. Rehmat ULLAH, Cardiff School of Technologies, Cardiff Metropolitan University, UK

Network of devices that includes the hardware, software, firmware, and actuators necessary for the devices to connect, communicate, and effectively share data through the Internet. The Internet of Things (IoT) attempts to connect “things,” such as machinery and items, to the Internet and, ultimately, to one another. IoT applications enable companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management. Artificial Intelligence (AI) plays a growing role in IoT applications and deployments. IoT Safety and Security are important topics to ensure the operation of these smart applications. In addition, AI applications in this field must also be focused to increase the efficiency of technology solutions. By promoting novel, high-quality research findings and innovative solutions to challenging data science problems, the conference seeks to advance the state-of-the-art in IoT Safety and Security. Applications of these technologies in fields such as smart manufacturing, smart health, supply chain management, etc., will also be of interest at this special session. In particular, the industry 5.0 topic will be discussed through the keynote speaker’s presentation. As the fourth industrial revolution has passed an early stage of development, many companies are developing intelligent systems and cutting-edge innovations of Industry 4.0 to improve productivity and quality. Meanwhile, the next phase of industrialization has been started to introduce, known as Industry 5.0. One of the most prominent features of Industry 5.0 is that it places the well-being of humans at the center of the manufacturing process. Advanced technologies are also created to keep up with the trend of the fifth industrial revolution. AI algorithms have proven to play a key role in Industry 4.0. Moving to Industry 5.0, with the human-centric orientation, AI was developed in combination with human intelligence (HI), leading to the new concept of Augmented Intelligence (AuI). AI and AuI algorithms are expected to bring significant benefits in Industry 5.0. The difficulties, challenges, and perspectives for IoT Safety and Security in Industry 5.0 will be discussed in this special session.

Date of submission: 20/08/2024

Code of session: 6rdss62

Special session RAIDS 2024:

Industrial IoT Technologies and Applications

 

by Prof. Dr. habil. Xianyi Zeng, Ph.D, Senior Full Professor, Graduate School MADIS-631 University of
Lille, ENSAIT & GEMTEX, Lille, France

Assoc. Prof. Dr. habil. Kim Phuc TRAN, Graduate School MADIS-631, University of Lille, ENSAIT & GEMTEX, Lille, France

Prof. Slim HAMMADI, Full Professor, Centrale Lille, France

Prof. Qinglin SUN, Full Professor, School of Artificial Intelligence, Nankai University

Discover how Industrial Internet of Things (IndustrialIoT) is revolutionizing the manufacturing landscape, driving the shift towards smart factories of Industry 5.0. This special session delves into the transformative role of wireless sensor networks, industrial cloud computing, robots, and embedded systems in enhancing product lifecycle management and upgrading industrial processes. Learn about the challenges and opportunities presented by the integration of diverse, sensor- enabled devices into a coherent, data-driven ecosystem. Join our community to engage with leading researchers and professionals in control, communications, robotics, cloud solutions, smart sensors, mobile computing, and security, all within the IndustrialIoT sphere. Uncover insights on securely managing data flows, facilitating real-time adjustments through closed-loop systems, and autonomously responding to production changes. Embrace the future of manufacturing with us, where innovation meets practical solutions in the age of IndustrialIoT.

Date of submission: 20/08/2024

Code of session: 6rdss66

Special session RAIDS 2024:

Artificial Intelligence for Sustainability

 

by Assis. Prof. Zhenglei HE, State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, China

Increasingly, sustainability is considered as the most significant emergent issues in modern industrial and social development towards Industry 4.0 and 5.0. This conference delves into the transformative role of data science, machine learning, remote sensing, and other intelligent techniques in eliminating environmental impacts in terms of pollutants, Greenhouse gas emissions, energy and water, as well as circularity of materials are highly affective to sustainable development from diverse complicated respects, for not only manufacturing and agriculture but also business and politics.  Learn about the challenges and opportunities, from system engineering perspective, presented by integrating modelling, decision-making, optimization, sorting and control. Join our community to engage with leading researchers and professionals in intelligent systems, automation, data mining, digital twin, etc. Uncover insights on data in ML, uncertain human behavioural responses to AI-based interventions, increased cybersecurity risks, adverse impacts of AI applications, and inadequate measurements of performance or intervention strategies. Embrace the future of sustainable development with us, where innovation meets practical solutions in the age of AI.

Date of submission: 20/08/2024

Code of session: 6rdss58

Special session RAIDS 2024:

Responsible Artificial Intelligence and Data Science for a Better Life

 

by: Anh Tuan MAI, VNU University of Engineering, Hanoi Vietnam

Phi Le NGUYEN, Hanoi University of Science and Technology, Vietnam

The last decades have witnessed the rapid growth of advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Data Science (DS), Wearable Technology, and their application in the fifth industrial revolution. A huge volume of data collected from the healthcare process can feed real-time analytic solutions provided by AI, DS, and Decision Support Systems(DSS), which can lead to optimal healthcare operations.  In the context of Industry 5.0, Responsible AI and DS, a framework organizations follow to ensure AI and DS technology is used in a transparent, accountable, and ethical way, has attracted various industrial sectors including healthcare to realize data-driven innovations. 

The special session aims at collecting papers on DSS based on new Responsible AI and DS techniques for healthcare with applications encompassing diagnosis, treatment optimization, patient monitoring, etc. This special section will bring together researchers and practitioners to discuss and explore the most promising Responsible AI and DS applications for DSS in healthcare.

Date of submission: 20/08/2024

Code of session: 6rdss59

Special session RAIDS 2024:

Artificial Intelligence for Smart Manufacturing in Industry 5.0

 

by: Dr. Moussab ORABI, Ph.D, Senior Data Scientist & Projectlead BI, Rosenberger Group, Germany

Dr. Huu Du NGUYEN, Ph.D, School of Applied Mathematics and Informatics, Hanoi University of Science and Technology, Vietnam

Prof. Dr. habil. Sébastien THOMASSEY, Graduate School MADIS-631, University of Lille, ENSAIT & GEMTEX, Lille, France

Assoc. Prof. Dr. habil. Kim Phuc TRAN, Graduate School MADIS-631, University of Lille, ENSAIT & GEMTEX, Lille, France

As the fourth industrial revolution has passed an early stage of development, many companies are developing intelligent systems and cutting-edge innovations of Industry 4.0 to improve productivity and quality. Meanwhile, the next phase of industrialization has been introduced, known as Industry 5.0. One of the most prominent features of Industry 5.0 is that it places the well-being of humans at the center of the manufacturing process. Advanced technologies are also created to keep up with the trend of the fifth industrial revolution. Artificial intelligence (AI) algorithms have proven to play a key role in Industry 4.0. Moving to Industry 5.0, with the human-centric orientation, AI was developed in combination with human intelligence (HI), leading to the new concept of Augmented Intelligence (AuI). AI and AuI algorithms are expected to bring significant benefits for enabling smart manufacturing in Industry 5.0. This special session delves into the AI-based methods, applications, and challenges for smart manufacturing in Industry 5.0. The contribution to this special session will help to clarify some important issues related to the applications and the potential of AI algorithms in smart manufacturing.

Date of submission: 20/08/2024

Code of session: 6rdss69

Special session RAIDS 2024:

Innovative Applications of AI, Edge Computing, and Data Science in Modern Industries

 

by: TEOH Wei Lin, School of Mathematical and Computer Sciences, Heriot-Watt University, Malaysia

As industries evolve in the era of Industry 5.0, the integration of advanced technologies such as Artificial Intelligence (AI), Edge Computing, and Data Science is reshaping industrial practices. These innovations offer significant advantages, including enhanced operational efficiency through real-time data processing and intelligent automation. The special session “Innovative Applications of AI, Edge Computing, and Data Science in Modern Industries” aims to explore the cutting-edge applications and impacts of these technologies across various sectors.

We invite researchers to submit papers that explore how AI, Edge Computing, Data Science, and related technologies are driving innovation and efficiency in modern industries. Topics of interest include, but are not limited to, AI for automation and intelligent decision-making, the role of Edge Computing in enabling real-time data processing and minimizing latency, and the application of Data Science for generating actionable insights and optimizing processes. This session will feature pioneering research and case studies that demonstrate the practical applications and transformative potential of these technologies in enhancing operational performance, improving product quality, and supporting sustainable practices.

Join us to contribute to a dynamic discussion on how these smart technologies are revolutionizing industries, offering new solutions to contemporary challenges, and paving the way for future advancements.

 

Special session RAIDS 2024:

Data Sciences in Finance

 

by: Dr. Luu Duc Toan Huynh, Queen Mary University of London

The concept of alternative data has recently gained prominence, referring to non-conventional information that offers insights into the performance of companies or financial markets, supplementing traditional data sources such as company reports and analyst predictions. This data comes from various sources, including sensors, mobile devices, satellites, and the internet, and is rapidly increasing in both volume and variety, presenting significant opportunities for valuable research. Advancements in data science have introduced both opportunities and challenges for integrating alternative data into finance. Recent research has focused on developing and utilizing unstructured data, such as texts and images, which provide rich insights that traditional financial indicators often miss. These data sources are significantly more abundant, appearing on websites, reports, and news about firms and industries. The use of alternative data is expected to expand in empirical finance research, driven by the advancement of statistical methods and increased data availability. Alternative data supports empirical finance in numerous ways. Social media, which records investor interactions as texts, offers crucial behavioral insights for market efficiency and asset pricing. Textual analysis of corporate annual reports helps investors adjust their expectations regarding firm valuations and performance. Markets can quantify government policy uncertainty and geopolitical risk. Images depicting economic activities and price movements offer new tools for financial risk analysis and management. Satellite and thermal detection images provide extensive temperature and climate data essential for climate finance.

This special section will bring together researchers and practitioners to discuss and explore the most promising Responsible AI and DS applications for DSS in finance.

Date of submission: 20/08/2024

Code of session: 6rdss59

Special session RAIDS 2024:

Ph.D. Student Poster Session

 

by: Quoc Thong NGUYEN, Dong A University, Vietnam

Kim Duc TRAN, Dong A University, Vietnam

Tho NGUYEN, Dong A University, Vietnam

This special session aims to provide Ph.D. students with a platform to share their ideas and research works and receive comments and suggestions from an international audience. We encourage authors to use the poster venue to open up discussions with the scientific community about their early-stage work, helping to develop their research for future publication and innovation.

Posters aim to report the progress of ongoing research and share insights from recent and current projects in the context of the International Conference on Responsible Artificial Intelligence and Data Science, the Ph.D. Student Poster Session provides an opportunity to showcase promising new work still in its early stages. Practitioners and researchers are encouraged to submit their work to the Posters venue. It offers a unique chance to share valuable ideas, elicit feedback on early-stage work, and foster discussions and collaborations among colleagues.

This track provides a platform for Ph.D. students to present and receive feedback on their ongoing research. Students at different stages of their research will be able to present and discuss their research questions, goals, methods, and results. This is an opportunity to obtain guidance on various aspects of their research from established researchers and to share ideas with other Ph.D. students working in related areas, fostering cross-disciplinary contamination and new collaborations.

Date of submission: 20/08/2024

Session code: 6rdss60