Background
Recent advances in artificial intelligence, smart sensing technologies, robotics,
automation, and intelligent electrical systems are rapidly transforming engineering
practices across mechanical, electrical, industrial, and infrastructure applications.
The integration of mechatronics and intelligent systems has enabled real-time
monitoring, predictive maintenance, automated operations, and improved safety and
sustainability outcomes. In modern engineering systems, smart sensors, machine learning
algorithms, digital technologies, and intelligent control systems are increasingly being
used for equipment monitoring, structural assessment, operational optimisation, and risk
management. These developments are driving the transition toward smarter, more
efficient, and resilient mechanical and electrical systems. However, challenges remain
in integrating these technologies into practical engineering workflows, particularly in
complex and dynamic environments. This symposium aims to provide a platform for
researchers, engineers, and industry professionals to discuss recent developments and
future opportunities in smart systems and AI-enabled engineering applications.
The symposium, which serves as a specialized session of the 4th International Conference
on Functional Materials and Civil Engineering (CONF-FMCE 2026), will focus on mechanical
and electrical engineering.
Goal/Rationale
The primary goal of this symposium is to explore emerging trends and practical
applications of artificial intelligence, mechatronics, automation, and smart sensing
systems in mechanical and electrical engineering systems. Traditional engineering
approaches often face limitations in handling large-scale data, real-time
decision-making, predictive analysis, and autonomous operations. Recent advances in
machine learning, robotics, Internet of Things (IoT), digital twins, intelligent control
technologies, and smart monitoring systems provide significant opportunities to improve
operational efficiency, safety, reliability, and sustainability. This symposium will
address current challenges related to data integration, sensor reliability, automation
in complex environments, predictive maintenance, intelligent control, and
decision-support systems. Participants will have the opportunity to exchange knowledge
on innovative methodologies, case studies, and emerging technologies that support smart
engineering solutions. The symposium also aims to encourage interdisciplinary
collaboration between researchers, practitioners, and industry stakeholders working in
smart systems, automation, artificial intelligence, and engineering applications.
Scope
This symposium welcomes contributions from researchers, industry professionals, and
postgraduate students working in the fields of mechatronics, smart systems, automation,
and intelligent engineering applications. Topics of interest include, but are not
limited to:
- Artificial intelligence and machine learning applications
- Smart sensing and monitoring technologies
- Robotics and automation in mechanical and electrical systems
- Internet of Things (IoT) and intelligent systems
- Predictive maintenance and condition monitoring
- Digital twin technologies and real-time analytics
- Autonomous systems and intelligent control
- Sustainable and smart engineering systems
- Electrical system monitoring and optimisation
- Data-driven decision-making in engineering systems
The symposium aims to promote collaboration and knowledge sharing between academia and
industry while highlighting innovative solutions for future smart engineering systems.
Artificial Intelligence and Smart Sensing for Mechanical