Call for Paper
Prospective authors from academia as well as industry are invited to submit their full papers in main conference AISSD-26 which have not been yet submitted published and that illustrate research, surveying works, and industrial application in all disciplines of Engineering for Intelligence based applications & automation activities, especially with the emergence of Data Analytics, AI, Machine Learning & Deep Learning or in following broad areas, but not limited to:
Intelligent Systems, Computational Physics & Quantum Modeling
- Physics-informed and hybrid AI–physics modeling for energy and fluid systems
- Numerical and PDE-based simulations for optimization and control
- Quantum-inspired algorithms and AI-enhanced quantum simulations
- Generative AI for molecular and atomic-scale modeling
- Reinforcement learning for chaotic and non-linear dynamic systems
Energy Research, Green Technologies & Renewable Systems
- AI-assisted solar, wind, and hybrid renewable forecasting and optimization
- Intelligent microgrids, smart power electronics, and energy storage
- Thermodynamic and fluid-dynamic modeling for system efficiency
- Reinforcement learning for grid stability and load balancing
- Digital twins for carbon-neutral and sustainable energy systems
Green Computing, IoT & Intelligent Sustainable Systems
- Energy-efficient, carbon-aware, and low-power computational models
- Intelligent workload scheduling and thermal-aware data center management
- IoT-driven environmental sensing and satellite-based climate analytics
- AI for seismic, geophysical, and pollution prediction
- Edge and cloud computing optimization for sustainable infrastructure
Materials Science, Nanotechnology & AI-Enabled Manufacturing
- ML-based materials discovery, design, and performance prediction
- Computational nanoscience for smart materials and composites
- AI-optimized alloy composition and stress analysis
- Intelligent robotics and additive manufacturing for low-waste production
- Simulation-driven design of sustainable electronic and structural materials
Biomedical & Health Intelligence
- AI in medical imaging, radiation therapy, and diagnostic modeling
- Computational biophysics and physiological system simulations
- Intelligent drug discovery, molecular docking, and personalized medicine
- Predictive epidemiological modeling and biosensor analytics
- ML for radiometric and biomedical signal interpretation
Intelligent Infrastructure, Environment & Earth Systems
- AI & IoT integration for smart cities, transportation, and utilities
- Digital twins for infrastructure monitoring, fault detection, and resilience
- Machine learning for climate, weather, and environmental forecasting
- Geophysical and acoustic signal processing for ocean and atmosphere systems
- AI in remote sensing for sustainable resource management
Optics, Photonics & Astronomical Intelligence
- AI for adaptive optics, image reconstruction, and photon detection
- Intelligent control systems for lasers and photonics applications
- Deep learning in telescope imaging, galaxy classification, and exoplanet detection
- AI-driven analysis for cosmological and high-energy astrophysics data
- Quantum photonics and optical-material simulation
Responsible AI, Ethics & Standardization in Scientific Computing
- Explainable and reliable AI for safety-critical physical systems
- Governance and reproducibility in experimental and computational workflows
- Ethical AI applications in energy, defense, and industrial automation
- Human–machine collaboration and ergonomics in intelligent laboratories
- Societal and Environmental Implications of Responsible AI usage
