ICOTET 2024 extends an open invitation for paper submissions, actively seeking contributions from researchers, practitioners, academicians, and students. The conference's ambit covers diverse tracks within Optimisation Tools and Techniques in Engineering and spans multidisciplinary research domains. Prospective submissions should comprise original, unpublished manuscripts, not concurrently undergoing review in other journals or conferences. The scope of topics includes, but not limited to the following areas:

Theme

Track 1 (Optimization and Hybrid Algorithm)

• Learning Algorithms

• Meta-Heuristic Optimisation Algorithms

• Response Surface Methodology

• Taguchi's Method

• Nature Inspired Optimizations Techniques

• Simulation-Based Optimisation Techniques

• Industrial Optimisation

• Machine Learning Techniques

 

Track 2 (Computational Methods)

• Intelligent Computing and optimization

• Data security & Blockchain

• Scientific Computing Systems

•  Cloud Computing and Security

• Artificial Intelligence ML and Big Data

• Sensor Data and Computing in IOT

• Numerical Methods

 

Track 3 (Industrial Engineering and Entrepreneurship)

• Sustainable Production System

• Smart and Digital Supply Chain Management System

• Quality, Production Control and Safety Tools and Assurance

• Operations Management

• Product Design and Development

• Reliability and Maintenance

• Entrepreneurship Theory and Policy

• Entrepreneurship Education and Capacity Building

• Materials Management and Waste Management

 

Track 4 (Advance Manufacturing)

• Digital Manufacturing/Smart Manufacturing

• Additive Manufacturing/3D Printing

• Sustainable Manufacturing

• Nature Inspired Manufacturing

• Green Manufacturing

• Surface Engineering

• Intelligent Manufacturing Systems

 

Track 5 (Industry 4.0 and Automation)

• Industry 4.0: Theoretical and Practical Approaches

• Artificial Intelligence-of-Things (AIOT) for Industry 4.0

• Machine learning for Industry 4.0

• Internet of things(IOT) for Industry 4.0

• Cyber–physical system for Industry 4.0

• Data Science and Big Data

• Virtual Reality and Augmented Reality for Industry 4.0

• Cyber/Data Security for Industry 4.0

 

Track 6 (Product Design and Development)

• Designing for sustainability

• Product design

• Design Semantics, Analytical Models and Theories

• AR/VR developments and the Metaverse

• Art, Design and Skills for Creativity and Innovation

• Advanced Materials and Fashion Design

• Cognitive Design and Ergonomics studies

 

Other relevant topics...