ISAS aims to advance the discourse on smart technologies, thereby shaping technological innovation across multiple engineering-based disciplines. Focusing on research spanning theoretical insights, empirical studies, and practical applications, ISAS seeks to unlock the transformative potential inherent in smart technologies across these diverse fields.

Track 1: Smart Computing

» AI and Machine Learning in Smart Computing
» Algorithms for Smart Computing
» Bio-inspired Computing
» Chaotic Systems
» Data Architectures and Analytics for Smart Computing
» Future Smart Computing Paradigms
» Quantum Computing in Smart Systems

Track 2: Applications of Smart System

» Smart Agriculture
» Smart Cities
» Smart Communication Systems
» Smart Education
» Smart Healthcare
» Smart Industry
» Smart Infrastructures

Track 3: Machine Learning and Computer Vision

» Artificial Immune Systems
» Artificial Intelligence
» Computational Intelligence
» Deep Learning
» Expert Systems
» Extreme Learning
» Fuzzy Systems
» Human-Computer Interaction
» Hybrid Learning Methods
» Medical Imaging
» Multimedia Processing
» Natural Language Processing
» Pattern Recognition

Track 4: Robotic Systems

» Autonomous Systems
» Humanoid Robots
» Robot Localization and Map Building
» Space and Underwater Robots

Track 5: Metaheuristic Algorithms

» Evolutionary Algorithms
» Hybrid Optimization Techniques
» Metaheuristics and Hyper-Heuristics
» Nature-Inspired Smart Hybrid Systems
» Swarm Intelligence

Track 6: Smart Communication

» Cognitive Intelligence in Vehicular Networks
» Cognitive Radio
» Indoor Special-awareness
» RFID and BLE Technologies in Smart Systems
» Satellite Communications
» Smart Systems for Wireless Applications

Track 7: Smart Security Mechanism

» Big Data Security
» Cyber Threat
» Data Security and Data Privacy
» Digital Forensics