Chair
Chiang Liang Kok, University of Newcastle, Australia
The rapid evolution of technology and interdisciplinary collaboration has propelled transformative advancements across diverse fields, reshaping industries and societal frameworks. In data analytics, artificial intelligence (AI) and machine learning (ML) are revolutionizing decision-making processes, enabling predictive modeling, real-time insights, and automation that optimize operational efficiency in sectors from finance to public policy. Healthcare innovation is marked by breakthroughs in personalized medicine, telemedicine platforms, and AI-driven diagnostics, which enhance patient outcomes while addressing systemic challenges such as accessibility and cost reduction. Concurrently, business strategies are increasingly centered on digital transformation, leveraging big data analytics, blockchain, and agile methodologies to foster resilience, customer-centricity, and sustainable growth in volatile markets. Scientific research continues to push boundaries, with CRISPR gene editing, quantum computing, and nanomaterials unlocking unprecedented possibilities in medicine, energy, and material sciences. Environmental sustainability has emerged as a critical focus, driven by advancements in renewable energy technologies, carbon capture systems, and circular economy models that balance ecological preservation with economic demands. In education, adaptive learning platforms, virtual reality (VR) classrooms, and AI-powered tools are democratizing access to quality education, fostering lifelong learning, and bridging global skill gaps. These domains are increasingly interconnected; for instance, data analytics underpins climate modeling for sustainability efforts, while healthcare innovations inform public health policies through predictive analytics. As these fields converge, they highlight the necessity of ethical frameworks, cross-sector collaboration, and equitable resource distribution to address global challenges such as climate change, healthcare disparities, and digital divides. Collectively, these cutting-edge developments not only redefine industry standards but also offer scalable solutions to complex, interconnected problems, paving the way for a more innovative and sustainable future.
The topics of interest of the track include, but are not limited to:
- Advancements in Data Analytics and Predictive Modeling
- Artificial Intelligence (AI) and Machine Learning (ML) Applications
- Real-Time Insights and Automation Technologies
- Innovations in Personalized Medicine and AI-driven Diagnostics
- Development of Telemedicine Platforms
- Digital Transformation Strategies in Business
- Big Data Analytics and Blockchain Implementation
- Quantum Computing and its Applications in Scientific Research
- CRISPR Gene Editing and Nanotechnology in Medicine and Energy
- Renewable Energy and Carbon Capture Technologies
- Circular Economy Models for Environmental Sustainability
- Climate Modeling and Data-Driven Sustainability Efforts
- Adaptive Learning Technologies in Education
- Virtual Reality (VR) in Classrooms
- AI-Powered Tools for Lifelong Learning
- Bridging Global Skill Gaps through Technology
- Cross-Sector Collaboration and Ethical Frameworks
- Addressing Global Challenges: Climate Change, Healthcare Disparities, and Digital Divides
Paper Submission
The paper submission for this session is OPEN. Please access the submission page for more information about the submission deadline and instructions.
PATRON&HOST, SPONSORS (TBC), PARTNERS & TS , SISTER CONFERENCES
