Call for Papers
We invite researchers, academics, and industry professionals to submit original research papers, case studies, extended abstracts, and reviews for IC3M.
Submissions should align with the conference themes in economics, management, and finance and contribute to advancements in the field. Accepted submissions will be published in the conference proceedings with an ISSN and ISBN, archived in the proceedings of NERD Publication.
Submission types accepted
Full Paper
Up to 8 pages, with a detailed description of the work, additional sections, images, graphs, and results as needed.
Short Paper
Up to 4 pages, including an abstract, introduction, results/discussion, and references.
Extended Abstract
Approximately 500 words, outlining objectives, scope, and results (if available). No figures or tables.
Area of submission
Manufacturing Processes
- Conventional & non-conventional machining
- Additive manufacturing & 3D printing
- Welding & joining processes
- Micro & nano-manufacturing
- Advanced joining & assembly techniques
Machine Design & Vibration Analysis
- Computational mechanics
- Fracture mechanics
- Structural health monitoring
- Vibration reduction & active control
- Integrated design & simulation
Materials Engineering
- High-entropy alloys
- Nanomaterials
- Shape-memory alloys
- Carbon fiber-reinforced polymers
- Self-healing materials
- Materials for extreme environments
Fluid Dynamics & Thermal Engineering
- Computational fluid dynamics for complex flows
- Multiphase flow & heat transfer
- Heat exchanger design & optimization
- Advanced heat transfer
- Fluid structure interaction
AI & Smart Manufacturing
- Artificial intelligence in mechanical engineering
- Machine learning for predictive maintenance
- Deep learning applications in manufacturing
- AI-based quality inspection & defect detection
- Intelligent process optimization
- Smart factory & Industry 4.0 technologies
- Digital twin technology for manufacturing systems
- AI-driven production planning & scheduling
- Industrial Internet of Things (IIoT)
- Human-robot collaboration in smart manufacturing
AI in Materials & Structural Engineering
- Machine learning for materials discovery
- AI-based materials characterization
- Data-driven materials design
- Predictive modeling of material properties
- Generative design using artificial intelligence
- AI-based structural health monitoring
- Machine learning for failure prediction
- Materials informatics & data analytics
AI in Thermal & Fluid Engineering
- Machine learning for CFD applications
- AI-assisted heat transfer optimization
- Data-driven fluid flow prediction
- Intelligent energy management systems
- AI applications in renewable energy systems
- Smart thermal system monitoring
Robotics, Automation & Emerging Tech
- Autonomous industrial robots
- Intelligent robotic systems
- Collaborative robotics (cobots)
- Computer vision for manufacturing automation
- Autonomous inspection & maintenance systems
- Explainable AI for engineering applications
- Edge AI for industrial systems
- Cyber-physical systems
- Smart sensors & intelligent monitoring
- Sustainable manufacturing using AI
Email a one-paragraph summary to editor@nerdpublication.com and the organizing committee will confirm scope before you write the full paper.