Call for Papers
Papers describing original work are invited in any of the areas listed below. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome.
Track 1: Engineering Technology Innovation
- Smart Materials and Nanotechnology Applications
- AI-Driven Design and Manufacturing
- Digital Twins and Virtual Prototyping
- Additive Manufacturing and 3D Printing
- Industrial IoT and Smart Factory Solutions
- Cybersecurity in Engineering Systems
Track 2: Engineering Management
- Project Management and Construction Management
- Supply Chain Optimization and Logistics
- Risk Assessment and Safety Management
- Sustainable Development and Green Engineering
- Leadership and Organizational Innovation
- Quality Assurance and Total Quality Management
Track 3: Robotics, Automation & Advanced Manufacturing
- Industrial Robotics and Collaborative Robots
- Automation Control Systems and PLC Programming
- Computer-Aided Engineering (CAE)
- Lean Manufacturing and Process Optimization
- Industry 4.0 and Smart Production Lines
- Human-Machine Collaboration in Manufacturing
Track 4: Energy, Environment & Sustainable Engineering
- Renewable Energy Technologies and Integration
- Environmental Impact Assessment and Management
- Circular Economy and Waste-to-Resource Engineering
- Carbon Capture, Utilization and Storage (CCUS)
- Green Building Materials and Sustainable Infrastructure
- Climate Resilience in Engineering Systems
Track 5: Civil, Structural & Infrastructure Engineering
- Advanced Structural Analysis and Design
- Earthquake Engineering and Seismic Resilience
- Smart Cities and Intelligent Transportation Systems
- Construction Information Modeling (BIM)
- Infrastructure Maintenance and Asset Management
- Prefabricated Construction and Modular Engineering
Track 6: Electrical, Electronics & Computer Engineering
- Power Systems and Smart Grid Technologies
- Embedded Systems and IoT Device Engineering
- Signal Processing and Communication Engineering
- Artificial Intelligence and Machine Learning in Engineering
- VLSI Design and Microelectronics
- Computer Vision and Pattern Recognition Applications
