OBJECTIVE
This track aims to explore advancements in intelligent systems, cyber-physical networks, and emerging technologies that drive innovation across various domains. It focuses on cutting-edge research in artificial intelligence, IoT, network security, and smart computing architectures, fostering the development of resilient and adaptive solutions. By integrating bio-inspired computing, advanced electronics, and process automation, the track addresses critical challenges in modern applications such as transportation, healthcare, and industrial control. It provides a platform for researchers, technocrats, and academicians to exchange ideas, share insights, and collaborate on practical solutions for real-world problems. Emphasizing interdisciplinary approaches, the track bridges the gap between theoretical advancements and industry-driven implementations
Topics
1. Intelligent Systems and AI Applications
• Deep Learning for Intelligent Computing Systems
• Natural Language Processing in Cyber Intelligence
• Soft Computing and Fuzzy Systems in Industrial Applications
• Genetic and Evolutionary Algorithms for Optimizing Intelligent Systems
• Bio-Inspired Robotics and Embedded AI Solutions
2. Cyber-Physical Systems and Security
• Advanced Network Security for Intelligent Transportation Systems
• Cyber Intelligence for Industrial Control and IoT Networks
• Resilient Operations in Cloud and High-Speed Networks
• Machine Learning for Adaptive and Learning Control Systems
3. IoT, Sensors, and Connectivity
• Smart Sensors and MEMS for Biomedical Computing
• Internet of Things in Process Control and Instrumentation
• Machine-to-Machine Communications for Embedded Systems
• Personal Communication and High-Speed Wireless Networks
4. Advanced Computing and Architectures
• Recent Trends in Cloud and Edge Computing Architectures
• Artificial Intelligence in Genetic and Evolutionary Computation
• Intelligent Complex Systems in Adaptive Network Designs
• High-Speed Networks for Data-Intensive Applications
5. Emerging Technologies in Electronics and Control
• Micro and Nano Electronics for Intelligent Systems
• Process Automation using Soft Computing Approaches
• Biomedical Computing with Advanced Embedded Electronics
• MEMS and IoT Integration in Adaptive Instrumentation
