Special Session 1
Special Session 1: Advancing Sustainable Environment and Circular Economy with Machine Learning
Track Chair
Dr. Hui Lin Ong, Universiti Malaysia Perlis
Dr. Rahimah Othman, Universiti Malaysia Perlis
Dr. Tow Leong
Tiang, Universiti Malaysia Perlis
Dr. Choo Jun Tan, Tunku Abdul
Rahman University of Management and Technology
Dr Kok Chin Chai,
NEUON AI
Track Committee Member
Prof. Chee Peng Li, Swinburne University of Technology, Australia
Prof. Shing Chiang Tan, Multimedia University, Malaysia
Dr. Kelvin
Choo, Swinburne Unviersity of Technology, Australia
Dr. Xinjie Deng,
Deakin University, Australia
About the session
Environmental sustainability and circular economy practices are
becoming critical priorities for addressing global challenges such
as waste management, resource depletion, and environmental
pollution. At the same time, rapid advances in machine learning and
pattern recognition provide powerful methods and tools for analysing
complex environmental data, improving waste management systems, and
enabling data-driven decision making for sustainable resource
utilisation.
This workshop focuses on the application of
machine learning and pattern recognition methods to sustainable
environmental systems and circular economy solutions. The goal is to
bring together researchers and practitioners working on intelligent
data-driven approaches for environmental monitoring, waste
management, resource recovery, and sustainability optimisation.
Topics of interest include, but are not limited to, machine
learning models for environmental data analysis, AI-driven waste
management systems, predictive analytics for environmental
processes, and intelligent sensing technologies for monitoring
environmental conditions. The workshop aims to foster
interdisciplinary collaboration between researchers in machine
learning, environmental science, and sustainability, and to promote
the development of intelligent technologies that support sustainable
environmental systems.
The topics of interest include, but are not limited to:
• Machine learning for environmental sustainability
• Pattern recognition in environmental monitoring
• AI for waste
management and recycling systems
• Intelligent systems for
circular economy applications
• Data-driven environmental
monitoring and sensing
• Predictive modelling of environmental
processes
• AI for pollution detection and environmental
protection
• Deep learning for environmental data analysis
•
Intelligent waste sorting and recycling technologies
• IoT and
edge AI for environmental monitoring
• Machine learning for
resource recovery and waste valorisation
• Explainable AI for
environmental decision-making
• Multimodal data analytics for
environmental systems
• AI-enabled optimisation of sustainability
systems
• Smart city technologies for environmental
sustainability
• Data-driven modelling of environmental risks
Submission Guidelines
Please submit your manuscript via
Electronic
Submission System (account is needed).
(Please choose the special number when you make the submission.)
Important Dates
◆ Submission of Full Papers:
May. 25, 2026
◆ Notification of Review Result of Papers from Special
Sessions: Apr. 15,
2026