The conference welcomes paper submissions from researchers, practitioners, academicians and students, and will cover myriad tracks in the field of Computer Science and Engineering and associated research areas. Original unpublished manuscripts, and not currently under review in any other journal or conference.

Important Dates

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Intelligent Computing and Data-Driven Technologies have a vast and rapidly expanding scope, impacting various industries and domains. These technologies leverage artificial intelligence (AI), machine learning (ML), big data analytics, and advanced computing techniques to solve complex problems, optimize decision-making, and enhance automation.

• Track 1: Intelligent Computing: Predictive Analytics, Natural language processing, Reinforcement learning in robotics and game theory, AI-driven automation for industrial applications, Big Data Analytics, Real-time data processing and insights, Predictive modeling and trend forecasting, Business intelligence and decision support systems, Data mining and pattern recognition
• Track 2:Cloud and Edge Computing: Cloud and Edge Computing, Distributed computing for scalable AI applications, Edge AI for low-latency, real-time processing, Hybrid cloud solutions for data management, AI-as-a-service (AIaaS), Internet of Things (IoT) and Smart Systems
• Track 3:IoT-based intelligent: IoT-based intelligent automation, Smart cities, smart healthcare, and smart home, Industrial IoT (IIoT) for manufacturing, Sensor-driven decision-making systems, High-Performance Computing (HPC) and Quantum Computing, Advanced simulations in scientific research, Quantum computing applications for complex problem-solving, AI-enhanced supercomputing for large-scale data analysis
• Track 4:Data-Driven Technologies: Healthcare and Biotechnology, AI-powered medical diagnosis and imaging, Predictive analytics in patient care, Genomic data analysis for personalized medicine, Drug discovery and bioinformatics Finance and Business Intelligence, Fraud detection and risk management, Algorithmic trading and financial forecasting, Customer behavior analysis, Automated customer service using AI chatbots
• Track 5:Data-Driven Technologies in Automation and security Industry 4.0 and Smart Manufacturing, AI-driven predictive maintenance, Robotics and automation in manufacturing, Digital twins for simulation and optimization, Supply chain optimization using data analytics Cybersecurity and Threat Intelligence, AI for detecting cyber threats and anomalies, Automated response to security incidents, Blockchain and cryptographic solutions for secure transactions, Identity and access management using AI
• Track 6:Data-Driven Technologies in Education and transportation: Education and E-Learning, AI-powered personalized learning platforms, Data-driven student performance analytics, Virtual reality (VR) and augmented reality (AR) in education, Automated grading and assessment systems, Transportation and Autonomous Systems, AI in self-driving vehicles and traffic management, Predictive analytics for public transportation optimization, Intelligent logistics and supply chain management, AI-powered navigation systems