Track 1: Intelligent Computing and Embedded Systems

• AI-driven embedded and IoT systems
• Edge computing for real-time control
• FPGA/ASIC implementations for AI models
• Smart sensors and signal processing hardware

Track 2: Communication Systems and Networking

• 5G/6G and wireless sensor networks
• Software-defined networking (SDN) and network function virtualization (NFV)
• Optical and satellite communication systems
• V2X communication and smart city connectivity
• Reconfigurable antenna arrays for 6G
• Microwave photonics

Track 3: Machine Learning, Data Science, and Applications

• Deep learning frameworks and optimization
• Big data analytics in engineering systems
• Predictive maintenance and industrial AI
• AI for biomedical signal and image processing

Track 4: VLSI, Microelectronics, and Embedded Design

• Low-power and high-performance chip design
• MEMS/NEMS for intelligent systems
• SoC and IoT device design
• Hardware accelerators for AI and ML

Track 5: Cyber-Physical Systems and Robotics

• Autonomous systems and human–robot interaction
• Control systems and real-time computing
• Intelligent mechatronics and sensor integration
• Robotics for manufacturing, healthcare, and agriculture

Track 6: Sustainable and Green Technologies

• Renewable energy monitoring using IoT
• Energy-efficient communication protocols
• Smart grids and sensor-based automation
• E-waste reduction through sustainable electronics
• Advances in reconfigurable antennas and sensors for health and medical applications

Track 7: Emerging Trends and Interdisciplinary Innovations

• Quantum computing and nanotechnology
• AR/VR and human–computer interfaces
• Computing for climate and healthcare
• Ethical and social implications of intelligent systems