Conference Tracks

Track 1: AI-Enabled Environmental Monitoring & Data Analytics

• Remote sensing & satellite imagery analytics for ecosystem monitoring
• Sensor networks & IoT for air, water, soil quality
• Big data & predictive modeling for environmental trends
• AI-based decision support for disaster management & climate risk

Track 2: Smart HMI for Environmental Education & Awareness

• Augmented/Virtual Reality for immersive environmental learning
• Conversational agents and chatbots for public awareness & behavior change
• Gamified interfaces to influence sustainable habits
• Multimodal and inclusive interfaces for environmental outreach

Track 3: AI for Resource Efficiency & Sustainable Practices

• Precision agriculture with AI-powered robotics & HMI
• AI-driven energy management in smart buildings & cities
• Waste sorting automation and robotics in circular economy
• AI-assisted resource optimization and scheduling system

Track 4: Emerging Technologies in Environmental HMI

• Wearable devices for exposure monitoring & eco-feedback
• Brain–computer interfaces for sustainability-focused research
• AI-augmented drones & robotics for wildlife conservation
• Generative AI for scenario modeling and public engagement

Track 5: AI, ML, AND DATA ANALYTICS

• AI Algorithms
• Data Mining & Machine Learning Tools
• Big Data and Data Warehousing
• Hybrid Intelligence Systems Intelligent System Architectures
• Neural Networks
• Computer Visions and Applications
• Machine Learning (ML), Artificial Intelligence (AI) and Big Data management for Public Sector
• Privacy, security and legal Informatics – AI and Law
• Decision Support Systems (DSS) in Digital Governance
• Deep Learning
• Natural Language Processing (NLP)

Track 6: NETWORK/CYBER SECURITY

• Cloud Computing
• Authentication, Privacy, and Security Models
• Intelligent Data Analysis for Security
• Intrusion, Anomaly, and Fraud Detection
• Security and Privacy of Mobile Computing.
• Cryptosystems
• Linked Data, Linked Open Data (LOD)
• Open Data, Open Government Data: transparency, trust, public participation, co-creation and Open Innovation

Track 7: EMBEDDED SYSTEM AND
IOT

• Security and Privacy for IoT
• IoT Applications and Services
• Electronics and Signal Processing for lot
• Embedded Computing with Applications
• Positioning and Theming Technologies
• Smart cities
• Semantic E-government applications
• Public Sector Knowledge Representation
• Knowledge Graphs
• Information Retrieval

Track 8: INTELLIGENT SENSORS AND WIRELESS SENSOR NETWORKS

• Security and Privacy in Sensor Networks
• Wireless Sensor Networks and Architectures
• Nanostructures and nanotechnology in biomedical electronics
• Next Generation Communication Technology

Track 9: BIO-MEDICAL ENGINEERING

• Bio components and Nano systems
• Digital Analysis of biomedical signals
• Imaging and visualization devices
• Biomedical equipment and Instrumentation

Track 10: EMERGING AREAS IN MODERN COMPUTING

• Web services & performance Connected Machines
• Digital transformation and Society 5.0
• Quantum Computing
• 4G/5G network
• Mobile ad-hoc network -Block Chain
• Evolutionary Computation
• Edge and Fog Computing

Track 11: AI ESSENTIAL FOR MANAGEMENT

• The role of AI in liquidity and market efficiency
• Role of AI in designing and delivering Choice Architecture to Consumers
• AI driven personalization & customer experience
• Digital marketing & influencer economy in the AI age
• AI and Automation: Opportunities and Challenges for Employment
• Social Entrepreneurship and Digital solutions for global challenges
• Startups in the age of disruption

Track 12: AI IN HEALTHCARE AND HOSPITAL MANAGEMENT

• AI-driven diagnostics and predictive analytics
• AI-assisted precision medicine and personalized treatment
• AI in robotic-assisted surgeries and automation
• AI-powered innovations in drug discovery and development
• Ethical challenges in AI-driven healthcare
• Regulatory frameworks for AI in hospital management
• AI and bias: Ensuring fairness in healthcare AI
• AI-driven ICU monitoring and alerts

Track 13: Innovative Approaches to Teaching and Learning in Engineering Education with AI and ML Integration

• AI-Driven Teaching and Learning Styles in Engineering
• Blended, Online, and AI-Augmented Laboratory Learning
• Curriculum Development in Engineering with Emerging Technologies
• Assessment Strategies Enhanced by AI and Learning Analytics
• Lifelong and Self-Directed Learning in the Era of AI
• Faculty Development in AI-Powered Pedagogical Techniques

Track 14: Ethical, Inclusive, and Global Practices in Engineering Education in the Age of AI

• Ethics and Responsible Use of AI in Engineering Pedagogy
• Inclusion and Equity in AI-Integrated Engineering Education
• Sustainability and AI for Sustainable Engineering Solutions
• Globalization and the International Reach of AI in Engineering Education
• Professional Practice and Industry-Linked AI Applications in Pedagogy
• Quality Assurance in AI-Enhanced Engineering Education