Call for Papers

Emerging Systems and Intelligent Computing Conference (ESIC-2027)invites high-quality original research papers, review articles, case studies, and industry contributions addressing intelligent systems and sustainable development challenges. Submissions must present novel contributions and should not have been previously published or be under consideration elsewhere.

Authors are encouraged to submit papers in (but not limited to) the following areas:

Track 1: Artificial Intelligence & Machine Learning for Sustainability

• Sustainable AI models and green computing
• Deep learning for societal impact
• Explainable and trustworthy AI
• AI for resource optimization
• AI in developing economies

Track 2: Intelligent Systems for Smart Agriculture & Food Security (SDG 2)

• Precision agriculture & crop monitoring
• Climate-smart farming technologies
• AI-based disease detection in crops
• IoT-enabled smart irrigation
• Agricultural yield prediction models
• Precision farming technologies
• Yield prediction and food supply analytics

Track 3: Intelligent Healthcare Systems (SDG 3)

• AI in medical imaging and diagnosis
• Predictive healthcare analytics
• Early disease detection systems
• Wearable health monitoring systems
• Telemedicine & remote health intelligence
• Wearable and remote healthcare systems
• Public health intelligence

Track 4: Climate Change, Environment & Green Technologies (SDG 13)

• Climate modeling and forecasting
• Renewable energy forecasting
• Carbon footprint analysis
• Environmental monitoring using AI & IoT
• Sustainable waste management systems

Track 5: Smart Cities & Sustainable Infrastructure (SDG 11)

• Smart transportation systems
• Energy-efficient buildings
• Intelligent traffic management
• Urban analytics and planning
• Sustainable water resource management

Track 6: Sustainable Energy & Power Systems (SDG 7)

• Smart grid technologies
• Renewable energy integration
• Energy optimization using AI
• Fault detection in power systems
• Microgrid intelligence

Track 7: Data Science, IoT & Cyber-Physical Systems for SDGs

• Big data analytics for sustainability
• IoT for environmental sensing
• Edge and cloud computing
• Blockchain for sustainable governance
• Secure cyber-physical systems

Track 8: Responsible, Ethical & Human-Centric AI

• AI governance and policy
• Ethical AI frameworks
• Bias and fairness in AI
• Sustainable digital transformation
• AI for inclusive development

Track 9: Industry 5.0 & Sustainable Manufacturing

• Intelligent automation
• Green manufacturing systems
• Digital twins for sustainability
• Predictive maintenance
• Circular economy technologies

Track 10: Emerging Technologies for Sustainable Development

• Quantum computing for sustainability
• Robotics for environmental monitoring
• Autonomous systems
• Sustainable computing architectures
• Interdisciplinary innovation models