The conference invites original, unpublished contributions in the broad areas of mechatronics and electrical engineering. Papers are solicited in, but not limited to, the following six tracks:
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Track 1: Electromagnetics and Electrical Engineering Fundamentals
- Computational electromagnetics and field analysis
- Electromagnetic compatibility (EMC) and interference suppression
- High-voltage engineering and insulation technology
- Electrical materials and dielectric properties
- Transient electromagnetic phenomena
- Discharge physics and plasma engineering
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Track 2: Intelligent Mechatronics and Robotic Systems
- Intelligent mechatronic systems
- Advanced motion control and servo technologies
- Industrial, mobile, and humanoid robotics
- Human–robot interaction and collaborative robotics
- MEMS/NEMS and micro-mechatronic systems
- Multi-physics modeling and structural optimization
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Track 3: Power Systems, Power Electronics, and Electrical Drives
- Power system operation, stability, and resilience
- Smart grids and microgrid technologies
- Power electronic converters and control
- Electrical machines and drive systems
- High-voltage technology and insulation
- Power quality and harmonic mitigation
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Track 4: Renewable Energy, Energy Storage, and Electrification
- Renewable energy generation systems
- Battery management and energy storage technologies
- Energy management and optimization
- Hybrid energy systems
- Electric vehicles and charging technologies
- Vehicle-to-grid (V2G) and smart electrification
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Track 5: Automation, Digital Twins, and Intelligent Manufacturing
- Industrial automation and control systems
- SCADA and industrial communication technologies
- Digital twins and cyber-physical systems
- Intelligent manufacturing and smart factories
- Embedded systems and real-time control
- Model-based design and simulation optimization
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Track 6: Intelligent Sensing, Condition Monitoring, and AI Applications
- Smart sensing and sensor fusion
- Computer vision and intelligent inspection
- Signal processing and fault diagnosis
- Machine learning and deep learning applications
- Edge AI and real-time analytics
- Condition monitoring and predictive maintenance
- Prognostics and remaining useful life (RUL) prediction