Call for papers
We invite researchers, educators, industrialists, innovators and scholars to submit original work which may be conceptual, theoretical, or empirical. Author should document research activity, case studies or best practices, highlighting the knowledge add on to the theory or practice of engineering, technology while addressing under the conference theme, “Artificial Intelligence and Smart Technology for Humanity”.
Major technology topics under the conference theme includes (not limited to):
Conference Tracks
TRACK-1: Sustainable Energy System
- Advancements in Grid Integration of Renewable Energy Sources
- Smart Inverters and Control for Distributed Renewables
- Challenges in Large-Scale Solar and Wind Integration
- Hybrid Renewable Energy Systems: Design and Optimization
- Energy Storage and Management Systems for Sustainable Power Grids
- IoT and Edge Computing in Energy Systems
- Blockchain for Decentralized Energy Transactions
- EV Charging Infrastructure and Grid Impact
- Vehicle-to-Grid (V2G) Systems and Smart Charging
- Next-Generation Solar Photovoltaics
- Power Electronics for Energy Sustainability
TRACK-2: AI and IoT Applications to Electrical Systems
- AI based Protection Schemes for Power Systems and Distribution Networks.
- AI for Fault Detection and Diagnostics in Electrical Machines and Drives.
- Integration of AI and IoT in Smart Grid Automation and Control
- AI based Load Forecasting and Demand Response in Electrical Systems
- AI and IoT Applications for Electric Vehicle Charging Infrastructure Optimization
- AI-Enhanced Cybersecurity Solutions for IoT-Enabled Electrical Infrastructure
- AI applications for Power Quality Disturbance Detection, Classification and Mitigation
- Optimization Techniques for Power System Operation and Control
- Reinforcement Learning for Control of Power Converters
- AI applications in Energy Management Systems
TRACK-3: Communication Systems and Networking
- Wireless Communication
- Networking Technologies and Protocols
- Optical and Quantum Communication
- Network Security and Privacy
- AI/ML in Communication Systems
- Vehicular and Drone Communications
- Satellite and Space Networks
- Green and Sustainable Networks
TRACK-4: Emerging Technologies for Secure Smart Applications
- Quantum-assisted cryptography for smart applications
- Zero knowledge proof-based blockchain for smart applications
- Anonymous and encrypted network for smart applications
- Securing smart applications with digital twins
- Modern AI for securing smart applications
- Green cloud practices for smart applications
- Edge device security
- Behavioral biometrics for securing smart applications
- Metaverse, Augmented and Virtual Reality for smart applications
- Tiny ML-based energy efficient smart applications
TRACK-5: Intelligent Data Analytics & Data Engineering
- Big Data Processing and Management
- Predictive Analytics and Forecasting
- Natural Language Processing and Text Mining
- Deep Learning and Neural Networks
- Internet of Things (IoT) Data Analytics
- Cloud-based Data Engineering Solutions
- Data Privacy and Security in Analytics
- Artificial Intelligence in Data Engineering
- Graph Analytics and Network Analysis
- Distributed Computing for Data Analytics
- Blockchain in Data Engineering
- Edge Computing and Analytics
- Quantum Computing for Data Processing
- Ethical Considerations in Data Analytics
TRACK-6: HCI, Computer Vision and Robotics
Topics into relevant subdomains to cover key research areas, emerging trends, and practical applications are as follows.
1. Human-Computer Interaction (HCI)
User-Centered Design and Usability Engineering, Brain-Computer Interfaces (BCI) and Neural Interaction, Gesture and Motion-Based Interaction, Haptic Feedback and Tactile Interfaces, AI-Powered Chatbots and Virtual Assistants, Augmented Reality (AR) and Virtual Reality (VR) for HCI, Multimodal Interaction and Adaptive Interfaces, Accessibility and Assistive Technologies, Eye-Tracking and Gaze-Based Interaction, Ethical and Psychological Aspects of HCI
2. Computer Vision
Image and Video Processing Techniques, Object Detection, Recognition, and Tracking, Deep Learning and AI for Computer Vision, 3D Vision and Depth Estimation, Face Recognition and Emotion Analysis, Image Captioning and Scene Understanding, Medical Image Analysis and Diagnostics, Edge AI and Real-Time Vision Systems, Vision for Augmented and Mixed Reality, Dataset Bias and Fairness in Computer Vision
3. Robotics
Autonomous Navigation and Path Planning, AI and Machine Learning for Robotics, Collaborative and Swarm Robotics, Humanoid and Social Robots, Soft Robotics and Bio-Inspired Design, Tactile Sensing and Robot Perception, Robotic Manipulation and Grasping, Drones and Aerial Robotics Applications, Ethical Considerations in Robotics, Human-Robot Collaboration and Safety
4. Cross-Disciplinary Topics
HCI for Robotics: User Interfaces for Robot Control, Vision-Based Robot Perception and Mapping, Robotics for Assistive and Rehabilitation Technologies, AI in HCI, Computer Vision, and Robotics, Edge Computing for Vision and Robotics, Privacy and Security Challenges in HCI and Robotics, Digital Twins and Simulation for Robotics and Vision Systems, Explainable AI for HCI and Autonomous Systems
TRACK-7: Technologies and Innovations in Healthcare
- Artificial Intelligence (AI) and Machine Learning (ML) for healthcare
- Internet of Medical Things (IoMT) and Wearable Devices
- Augmented Reality (AR) and Virtual Reality (VR) for healthcare
- Advanced Imaging and Diagnostics
- Bioinformatics
- Robotics in Healthcare
- Digital Therapeutics (DTx)
- Personalized medicine
- Computer-assisted surgical navigation
- Large Language Model for Healthcare application
TRACK-8: AI Driven Solutions for Industry and Society
- AI in Business, Finance, and Economics
- AI in Education and Workforce Development
- AI in Legal and Ethical Frameworks
- AI for Social Good and Public Services
- Predictive maintenance using AI
- AI-driven process automation
- Digital twins for industrial optimization
- AI in Industry 4.0 and Smart Manufacturing
- AI for waste management and circular economy
- AI-driven urban planning and traffic management
TRACK-9: Mitigation of Climate Change Through Advanced Technology
- Smart and Sustainable Cities
- Climate-Friendly Transportation Technologies
- AI, Big Data, and Climate Tech
- Sustainable Agriculture and Land Use
- Climate Finance and Policy Innovation
- Blockchain for Carbon Tracking and Trading
- Edge Computing and IoT for Energy Efficiency
- Digital Twins for Climate Resilient Infrastructure
- Biotechnology for Climate Mitigation
- Sustainable Data Centers and Green Computing
