Tracks & Topics of Interest
We encourage the submission of high-quality Long Abstracts (500–700 words). Full research papers, case studies, and posters are also welcome.
Topics of interest include (but are not limited to) the following multidisciplinary tracks:
Track 1: Smart Engineering, Computing & Data Systems
- Green AI in Renewable Energy: smart grids, predictive maintenance for solar and wind, storage optimization;
- Electromechanics, Automation & Smart Vehicles: autonomous EVs, ITS, and green logistics;
- Robotics and Autonomous Systems (advanced research);
- Water Resource Engineering: AI for desalination, leak detection, and precision irrigation;
- Software Engineering & Computational Intelligence (methods and applications);
- Smart Data Science for Climate Modeling: machine learning models for predicting climate-change impacts in the MENA region;
- Cybersecurity and the Metaverse: opportunities and safeguards;
- Big Data and Information Systems, Semantic Web 3.0/4.0, and Human–AI collaboration in engineering;
- Ethics and Governance for Industry 5.0.
Track 2: Green Economy, Business, Marketing, Logistics, Blockchain & Finance
- Sustainable Business Models & E-Marketing: circularity and green supply chains;
- Green Finance & Investment: analytics for green bonds and climate-risk assessment;
- Economic Intelligence & Carbon Pricing: macromodeling for green transitions;
- Fintech for Sustainability and Inclusive Start-ups;
- ICT, green innovation technologies, alliances, cooperation and firm performance;
- AI + IoT for Smart Business Solutions;
- Blockchain for Supply Chain Transparency;
- Entrepreneurship, startups, challenges and resilience;
- AI & Information Management Systems;
- ESG, CSR, and Governance: impacts on organizational performance.
Track 3: Smart Agriculture, Biology & Environmental Sciences
- Precision Agriculture: AI, IoT, and drones for yield optimization and resource efficiency;
- Biodiversity and Conservation: ML for species monitoring and ecosystem health;
- Sustainable Mining and Green Materials;
- Green Chemistry & Physics: novel materials, carbon-capture catalysts and advanced PV;
- Environmental Sensing & Earth Observation (EO): hazard mapping (droughts, floods, dust storms) with validation against ground-truth data;
- Food–Water–Energy Nexus (FWEN): allocation models, resilience planning, and trade-off analysis.
Track 4: AI in Social Sciences, Education, Arts & Humanities
- Smart education and Generative-AI–enabled learning/training;
- Post-pandemic pedagogical innovations;
- Public Policy & Green Governance: ethical deployment frameworks;
- Technology acceptance and social adoption in MENA;
- AI for Heritage & Archaeology: risk mapping and digital preservation;
- Green & Inclusive Urbanism: AI for smart cities, public infrastructure, logistics, and transportation.
Track 5: AI, Health & Medical Innovations
- Environmental Health Analytics: linking pollution and climate to public health outcomes (heat waves, air quality, allergens);
- AI for Medical Imaging & Digital Pathology: detection/segmentation, workflow triage, and quality assurance;
- Predictive Epidemiology & Early Warning: syndrome surveillance, wastewater-based analytics, and One Health;
- Wearables, IoT, and Remote Monitoring: exposure tracking, digital biomarkers, and chronic disease management;
- Precision & Personalized Medicine: pharmacogenomics, treatment-response prediction, and clinical decision support;
- Sustainable/Green Health Facilities & Smart Healthcare Waste Management: energy-efficient hospitals, HVAC/IAQ optimization, and circular solutions.