Track 1: Responsible AI
- Opportunities and Challenges for Responsible Generative AI
- Ethics and AI: From Discourse to Practice
- Deliberative Governance and Social Acceptability: Promoting Responsible Innovation in AI
- From Theory to Practice: The Responsible Implementation of AI in Primary Health Care
Track 2: Generative AI
- Use of Generative AI in Practice
- The Ethical Use of Generative AI
- Generative Adversarial Networks (GANs)
- Advanced Tools: Stable Diffusion, ChatGPT, DALL-E, and More
- Deep Learning Models for Generative AI Development
- Business Models & Use Cases for Generative AI
Track 3: Technologies & Application of AI
- Fundamentals of Artificial Intelligence
- Knowledge Science and Knowledge Engineering
- Machine Learning and Deep Learning Techniques
- Machine Perception and Virtual Reality
- Natural Language Processing and Understanding
- Neural Networks and Deep Learning Architectures
- AI-Driven Decision Systems
- Representation, Reasoning, and Cognitive Modeling
- AI Automation and Intelligent Systems
- AI-Driven Business Intelligence
Track 4: Advanced AI Techniques and Paradigms
- Advanced Neural Network Architectures (e.g., Transformers, Graph Neural Networks)
- Explainable AI (XAI) and Transparency in AI Models
- Reinforcement Learning and Its Applications
- Meta-Learning and Self-Supervised Learning
- AI in Autonomous Systems and Vehicles
Track 5: AI in Human-Centric Applications
- AI for Personalized Medicine and Genomics
- Assistive Technologies for Disabilities
- AI in Creative Arts and Media (Music, Visual Arts, Literature)
- Ethical AI Design for Consumer Products
- AI for Human-Computer Interaction Enhancements
Track 6: AI Governance and Policy
- Regulation and Policy Frameworks for AI
- International Standards for AI Safety and Security
- Public Perception and Trust in AI Technologies
- AI Policy and Ethical Guidelines for Global Adoption
- AI in Legal and Regulatory Compliance
Track 7: Robotics Science and Engineering
- Design and Fabrication of Robotic Mechanisms
- Human-Robot Interaction & Interfaces
- Machine Learning and AI Integration in Robotics
- Robotic Applications in Healthcare, Agriculture, and Defense
- Tele-Robotics and Remote Operations
Track 8: Quantum Computing Applications
- Quantum Computing in Material Science
- Quantum Computing for Financial Analysis
- Applications of Quantum Computing in Machine Learning (ML)
- Quantum Computing for Natural Language Processing (NLP)
- Quantum Computing for Task Optimization
- Bionanoscience (BN) and Quantum Nanoscience (QN)
- Chemical Engineering (ChemE) and QuTech
Track 9: AI in Healthcare and Medicine
- AI for Disease Diagnosis and Prognosis
- AI in Medical Imaging and Radiology
- Personalized Medicine and Genomics
- AI-Driven Drug Discovery
- AI in Healthcare Management and Operations
Track 10: AI for Social Good
- AI for Climate Change and Environmental Monitoring
- AI in Education and Learning Technologies
- AI for Disaster Response and Management
- AI in Smart Cities and Urban Planning
- AI for Public Safety and Crime Prevention
Track 11: Quantum Computation-Based Sensor Applications in AI
- Integration of Quantum Sensors with AI Systems
- AI Algorithms for Quantum Sensor Data Processing
- Quantum Sensing in AI-Driven Robotics
- Quantum Sensor Networks for Real-Time Monitoring
- AI-Enhanced Quantum Imaging and Sensing Technologies
Track 12: Integrated Engineering Solutions: Innovations Across Electronics, Electrical, Civil, Mechanical, and Industrial Disciplines
- Circuit Design and Analysis
- Power Systems and Distribution
- Electronics for Embedded Systems
- Renewable Energy Technologies
- Communication Systems and Signal Processing
- Structural Engineering and Design
- Geotechnical Engineering
- Construction Materials and Methods
- Environmental and Sustainable Engineering
- Urban and Infrastructure Development
- Thermodynamics and Fluid Mechanics
- Mechanical Design and Analysis
- Manufacturing Processes and Systems
- Robotics and Automation
- Heat Transfer and Energy Systems
- Operations Research and Optimization
- Supply Chain Management and Logistics
- Quality Control and Improvement
- Human Factors and Ergonomics
- Industrial Systems and Automation
