Conference Tracks
Track 1: AI & ML in Mechanical and Manufacturing Engineering
❖ Predictive maintenance and smart diagnostics
❖ Intelligent robotics and automation
❖ Digital twins and simulation-based design
❖ AI in materials processing and optimization
❖ Startups and student-led prototypes
Track 2: Smart Civil and Structural Engineering
- ❖ AI in structural health monitoring
❖ Machine learning for construction management
❖ Intelligent transportation systems
❖ Sustainable infrastructure design with AI tools
Track 3: Electronics & Communication with AI Integration
- ❖ AI in embedded systems and VLSI
❖ Intelligent signal processing
❖ IoT and sensor networks for smart systems
❖ Communication networks enhanced by ML
Track 4: Computer Science, AI & Data-Driven Engineering
- ❖ Deep learning applications in engineering
❖ Computer vision for engineering inspection
❖ Edge computing and AI at scale
❖ Software frameworks for engineering AI
- ❖ Deep learning applications in engineering
Track 5: Interdisciplinary Engineering Solutions
- ❖ Cross-domain case studies combining multiple
engineering fields
❖ Hybrid AI-engineering models for disaster
prediction and management
❖ Cyber-physical systems and digital transformation in
engineering
❖ Ethics, safety, and trust in AI-enabled engineering
