Topics of Interest
Topics of interest include but are not limited to the following:
Track 1: Thermal Systems, Energy Conversion, and Power Engineering
- Advanced Thermofluids and Heat Transfer
- Computational Fluid Dynamics (CFD) and Multiphysics Simulation
- Multiphase Flow, Boiling, and Condensation Processes
- Thermal Management in Electronics and High-Power Systems
- Phase Change Materials (PCMs) and Latent Heat Storage
- Nano-Fluids and Advanced Thermal Coolants
- Thermoelectric Energy Generation and Applications
- Cogeneration and Combined Heat and Power Systems
- Waste Heat Recovery Technologies
- HVAC Systems and Thermal Comfort Engineering
- Energy-Efficient Thermal Systems for Buildings
- AI and Machine Learning in Thermal System Optimization
- Thermal Energy Storage Systems
- Heat Exchangers and Advanced Cooling Technologies
- Thermo-Mechanical Systems for Net-Zero Energy Targets
- Sustainable Power Generation Systems
- Hybrid Energy Conversion Systems
Track 2: Sustainable Energy Systems, Policy, and Smart Infrastructure
- Renewable Energy Systems (Solar, Wind, Hydro, Biomass)
- Green and Clean Energy Conversion Technologies
- Intelligent and Smart Energy Systems
- Energy Storage Technologies (Batteries, Hydrogen, Thermal Storage)
- Energy Management Systems and Smart Grids
- Carbon Neutral Technologies and Decarbonization Strategies
- Energy Policy, Economics, and Sustainability Assessment
- Sustainable Building Technologies and Green Infrastructure
- HVAC Systems for Energy-Efficient Buildings
- Integrated Energy Systems and Microgrids
- Digital Twins for Energy Systems
- AI for Energy Forecasting and Demand Response
- Sustainable Urban Energy Planning
- Environmental Impact and Life Cycle Assessment (LCA)
- Circular Economy in Energy Systems
- Resilient and Distributed Energy Systems
- AI-Driven Optimization of Energy Networks
Track 3: Intelligent Engineering Systems, Mechanics, and Sustainable Mobility
- Intelligent and Sustainable Automation Systems
- Smart Materials and Advanced Manufacturing Processes
- Nano- and Micro-Scale Systems for Engineering Innovation
- Sustainable Mechanical Design and Optimization
- Noise and Vibration Control in Mechanical Systems
- Solid and Structural Mechanics for System Integrity
- AI-Driven Design of Mechanical Systems
- Robotics and Autonomous Engineering Systems
- Predictive Maintenance using AI and IoT
- Electric and Hybrid Vehicle Technologies
- Sustainable Transportation and Mobility Systems
- Sustainable Aviation and Aerospace Technologies
- UAVs, Drones, and Intelligent Navigation Systems
- AI-Integrated Transportation Systems
- Digital Manufacturing and Industry 4.0
- Biomechanics and Biomedical Engineering Systems
- Biomedical Devices, Prosthetics, and Healthcare Technologies
Track 4: Artificial Intelligence and Data-Driven Systems
- Machine Learning and Deep Learning Algorithms
- Generative AI and Foundation Models
- Reinforcement Learning and Adaptive Systems
- Natural Language Processing and Large Language Models
- Computer Vision and Image/Video Analysis
- Multimodal AI Systems
- Explainable and Trustworthy AI (XAI)
- Federated Learning and Privacy-Preserving AI
- Edge AI and Real-Time Intelligent Systems
- AI for Cyber-Physical Systems
- Data Analytics, Big Data, and Intelligent Decision Systems
- Optimization Techniques in AI
- AI for Scientific Discovery and Engineering Applications
Track 5: Artificial Intelligence for Sustainable Energy Systems
- Machine Learning for Energy Forecasting and Demand Prediction
- AI in Smart Grids and Energy Optimization
- Deep Learning for Renewable Energy Systems (Solar, Wind, Hydro)
- AI-Based Energy Storage and Battery Management Systems
- Intelligent Energy Management and Load Balancing
- AI for Carbon Emission Monitoring and Reduction
- Digital Twins for Energy Systems
- AI in Power System Stability and Fault Detection
- Reinforcement Learning for Energy Optimization
- AI-Driven Energy Policy and Decision Support Systems
Track 6: AI-Driven Intelligent Engineering Systems
- AI for Mechanical System Design and Optimization
- Generative AI for Engineering Design and Simulation
- Predictive Maintenance using AI and IoT
- AI in Advanced Manufacturing and Industry 4.0
- Computer Vision for Industrial Inspection and Quality Control
- Robotics and Autonomous Engineering Systems
- AI for Structural Health Monitoring
- Multi-Agent Systems in Engineering Applications
- Explainable AI for Engineering Decision-Making
- Edge AI and Embedded Intelligence in Engineering Systems
