The International Conference on Applied AI, Risk, and Net-Zero Research (AARNZ 2025)

 




Call For Papers

The conference will be held every year to make it an ideal platform for people to share views and experiences in Applied AI, Risk, and Net-Zero Research and related areas. Scholars at home and abroad are welcomed to submit articles and participate in the conference. 

The topics of interest for submission include, but are not limited to:

Applied AI in Climate Risk Management

AI Techniques for Climate Prediction and Weather Forecasting

■ Deep Learning Models for Atmospheric Data Analysis

■ Ensemble Methods for Improved Weather Prediction Accuracy

AI-Driven Climate Risk Assessment and Adaptation Strategies

■ Spatial Data Analysis for Climate Vulnerability Mapping

■ AI-Based Scenario Planning for Climate Adaptation Measures

Machine Learning for Carbon Footprint Analysis

■ Automated Carbon Emission Tracking Systems

■ Optimization Algorithms for Reducing Carbon Footprints in Operations

AI Solutions for Disaster Preparedness and Response

■ Real-Time Disaster Monitoring and Alerting Systems

■ AI-Enhanced Damage Assessment and Resource Allocation


AI and Sustainable Finance

AI in ESG (Environmental, Social, Governance) Investing

Natural Language Processing for ESG Report Analysis

AI-Driven ESG Scoring and Benchmarking

Machine Learning for Financial Risk Management in Green Finance

Predictive Models for Assessing Credit Risk in Sustainable Projects

Portfolio Optimization for Green Investments

AI-Enabled Sustainable Asset Management

Robotic Process Automation for Efficient Asset Management

AI Tools for Sustainable Asset Performance Monitoring

Predictive Analytics for Sustainable Investment Trends

Trend Analysis and Forecasting for Emerging Green Technologies

Sentiment Analysis of Market Data for Sustainability Investments


Net-Zero Strategies and Technologies

AI for Energy System Optimization and Renewable Integration

■ Demand Response Algorithms for Grid Stability

■ Machine Learning for Optimal Placement of Renewable Energy Sources

Smart Grids and AI-Enhanced Energy Distribution

■ Predictive Maintenance for Grid Infrastructure

■ AI-Based Load Balancing and Energy Storage Management

Carbon Capture, Utilization, and Storage Technologies

■ Optimization of Carbon Capture Processes

■ Predictive Analytics for Safe Carbon Storage

AI for Sustainable Urban and Rural Development

■ Urban Planning Models for Minimizing Carbon Footprints

■ AI-Driven Strategies for Enhancing Rural Sustainability


Risk Management in AI Applications

Ethical Considerations and AI Governance

Frameworks for Ethical AI Decision-Making

AI Transparency and Accountability Measures

AI Audit and Risk Compliance Frameworks

Automated Compliance Monitoring Tools

AI Systems for Risk Assessment and Management

Predictive Risk Management Models Using AI

AI-Based Threat Intelligence and Vulnerability Analysis

Predictive Analytics for Operational Risk Management

Security and Privacy Risks of AI Systems

AI for Enhancing Cybersecurity Measures

Privacy-Preserving AI Technologies


AI for Energy Efficiency

Optimization of Energy Consumption in Industrial Processes

■ AI Algorithms for Energy Load Forecasting

■ Intelligent Control Systems for Energy Optimization

AI for Building Energy Management Systems

■ IoT and AI Integration for Smart Buildings

■ Predictive Controls for HVAC and Lighting Systems

Predictive Maintenance for Energy Systems

■ Anomaly Detection in Energy Equipment

■ AI-Enhanced Maintenance Scheduling and Resource Allocation

Efficiency in Renewable Energy Production

■ AI-Optimized Operation of Wind and Solar Farms

■ Machine Learning for Yield Prediction in Renewable Energy Systems