SS: Emerging Topics in Data Analytics, Healthcare, Business, Science, Environment and Education.
Session Chair: Kok Chiang Liang
Emerging topics across data analytics, business, science, environment, and education reflect the rapid convergence of technology and global challenges. In data analytics, advancements in AI-driven predictive modelling and generative AI are revolutionizing decision-making, enabling real-time insights and synthetic data generation for industries. Businesses are prioritizing sustainable practices, integrating ESG (Environmental, Social, Governance) metrics with AI to align profitability with planetary health, while blockchain and decentralized finance (DeFi) redefine transparency. Scientific innovation focuses on CRISPR-based gene editing, quantum computing breakthroughs, and synthetic biology, offering solutions to medical and computational challenges. Environmental science emphasizes climate tech, including carbon capture, renewable energy storage, and smart grid systems, to combat global warming. Simultaneously, urban biodiversity and circular economy models gain traction as cities seek resilience. Education evolves through personalized learning platforms powered by AI, micro credentials for upskilling in tech-driven economies, and virtual reality (VR) classrooms bridging accessibility gaps. Interdisciplinary collaboration dominates these fields, with data analytics underpinning climate modelling, business strategies leveraging scientific discoveries, and education systems preparing workforces for green and digital transitions. As ethical considerations around AI, genetic engineering, and data privacy intensify, these emerging topics underscore the need for innovation balanced with responsibility to address 21st-century complexities.
Systems Engineering Innovations for Green Transportation
Session Chair: Lai Ching-Ming, National Chung Hsing University, Taiwan
A sustainable transportation system is a key pillar in achieving the global climate goal of net-zero emissions by 2050. As global emphasis on sustainability intensifies, the development of green transportation systems has become increasingly vital. This special session invites researchers, practitioners, and industry experts to share insights on the systems engineering challenges and innovative solutions that support the transition to environmentally friendly transportation across various domains. We encourage interdisciplinary contributions that address technical, economic, and policy-related aspects of sustainable mobility. Innovative approaches that integrate emerging technologies, data-driven methods, and systems-level thinking are especially welcome.
Topics of interest include, but are not limited to:
Green transportation policy, long-term trends, forecasts, and scenario analysis
Emerging technologies for sustainable transportation systems
Design, modeling, simulation, and analysis of green transportation infrastructure
Economic and engineering management strategies for green mobility
Green systems engineering methodologies and architectural frameworks
Systems integration, testing, and verification for sustainable transportation
Autonomous and electric vehicle technologies and applications
UAVs and AGVs in green logistics and transportation
Cybersecurity and communication for smart and connected transportation
Microgrid systems for clean and resilient transportation energy
Implementation and evaluation of innovative green mobility solutions
Low-carbon mobility strategies and their societal and environmental impacts
This session aims to foster collaboration and highlight advancements shaping the future of sustainable transportation systems.