1st International Conference on 

Computational Techniques and Smart Manufacturing 

21st – 22nd June 2024



The world of manufacturing is rapidly changing with the advent of new technologies. One of the most significant changes is the integration of computational techniques and smart manufacturing. Computational techniques refer to using software and algorithms to automate processes and make them more efficient. Smart manufacturing, on the other hand, uses data and technology to optimize manufacturing processes.  

Together, these two concepts are transforming the way we produce goods. By using computational techniques, manufacturers can automate many of the everyday tasks that were once done manually. Another important computational technique is machine learning, which uses algorithms and statistical models to analyze data and improve manufacturing processes.  

Machine learning can identify patterns in sensor data that can be used to predict when a machine is likely to fail, allowing for preventative maintenance to be performed. This saves time and money and reduces the risk of errors and accidents. Smart manufacturing takes this a step further by using data to optimize processes in real-time. This means that manufacturers can adjust on the fly to ensure they produce goods as quickly and efficiently as possible. 


We invite high-quality, state-of-the-art, previously unpublished original research papers. The authors may limit their papers to a maximum of 10 pages. The authors will then be invited to submit the final papers based on the reviewers’ recommendations for inclusion in the proceeding. Manuscripts should follow the style of the conference proceedings publisher and are subject to peer review and editing.

TOPICS: Authors are invited to submit a paper, but are not limited to the following;

  • Additive Manufacturing
  • AI-enhanced Manufacturing
  • Autonomous production
  • Big Data Analytics in Manufacturing and Logistics
  • Blockchain for Manufacturing and Logistics
  • Cloud Computing
  • Cyber-Physical Production Systems
  • Cyber Security
  • Digital Twins
  • Economics & Business Models
  • Smart Operators and Human-centric Systems
  • Sustainability-oriented production
  • VR/AR Applications in Industry
  • Clean and Sustainable Manufacturing Processes
  • Applications of FEA
  • Industrial Automation and Process Control
  • Industrial Engineering Education 4.0
  • Human-Machine Interaction
  • Industrial Internet of Things
  • Smart and Digital Supply Chains
  • Maintenance and Lifecycle Management
  • Product & Process Design
  • Production Systems and Supply Network Engineering
  • Project and Risk Management
  • Quality Management & Assurance
  • Robotics in Industry
  • Simulation in Production and Logistics
  • Manufacturing system and simulation
  • Computer and Intelligent Communication
  • Network Security
  • Geo-informative Systems
  • Grid Computing
  • Pervasive Computing
  • Digital Image and Video Processing
  • Computer Vision and Image Analysis
  • Data Mining and Cloud Computing
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