Objective of the Conference

• To offer a mutual platform for the research scholars, students and industrial experts across the globe to exchange their opinions.
• To deliberate on the latest trends and future scope in the area of Computer Science and Engineering.
• To address the key research issues mentioned in the focus areas of the conference.
• To provide a mutual platform for the research scholars, students and industrial experts across the globe to exchange their views, innovations, interact and share the research outcomes.

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Scope of the Conference

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, Continual Learning in Generative Models, Computational Efficiency in Large-Scale AI, Challenges in Multimodal AI Systems, Generative AI in Education: Enhancing Learning Experiences, AI for Climate Modeling and Environmental Solutions, Intersection of AI and Neuroscience: Towards General Intelligence
• 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, Human-Robot Interaction (HRI), Social and cognitive robotics, Robot ethics and societal impacts, Gesture and emotion recognition for interaction, User experience (UX) design in HRI, Assistive robotics for healthcare and accessibility, Robotics in Industry and Applications, Industry 4.0 and robotic automation, Agriculture robotics and precision farming, Medical and surgical robotics Disaster response and exploration robots, Smart cities and urban robotics
• Track 6:Data-Driven Technologies in Education, transportation, and Robotics: 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, Quantum computing in robotics and AI, Edge computing and IoT in robotics, Sustainability and energy-efficient robotics, Cybersecurity in autonomous systems, Virtual reality (VR) and augmented reality (AR) for robotic interfaces, Ethics, Policy, and Future Trends, Ethical and societal considerations in robotics and AI, Policy and governance of robotics and AI, Standards and benchmarks in robotics research, Emerging trends in computational intelligence and robotics, Future of robotics: challenges and opportunities