Romdhane Ben Khalifa

Romdhane Ben Khalifa is assistant professor, academic and researcher in the field of mechanical engineering, primarily associated with the University of Gabes. He holds a position at the National engineering school of Gabes (ENIG) where his research and teaching focus on optimization, neural networks, and CAD/CAM technologies. His work is well-regarded for its contributions to the improvement of manufacturing processes and the application of artificial intelligence in engineering. He obtained his PhD Doctoral thesis in Mechanical Engineering at National Engineering School of Tunisia in 2012. In 2005, he obtained the Master degree of Mechanical Engineering from the National Engineering School of Tunisia. He has authored a number of research papers in the field of Mechanical engineering in impacted international journals.

Publications

Integrating Renewable Energy Through Model-Based Systems Engineering
Romdhane Ben Khalifa, Mohamed Naoui, Lassaad Sbita. © 2024. 16 pages.
The urgent global push towards energy sources has increased the demand for incorporating renewable energy into existing power systems. This study delves into how model-based...
Modeling of Digital Twin Framework for Management of Human Resources in Industry 4.0
Romdhane Ben Khalifa. © 2024. 12 pages.
Digital twin technology is revolutionizing human resource management in the era of Industry 4.0. Businesses can gain valuable information about their employees by creating...
Machine Learning Methods and Techniques for Predicting Weld Defects
Romdhane Ben Khalifa, Sami Ibn Kaddida, Idia BelHaj Abdallah. © 2024. 17 pages.
Welding is a critical process in various industries, and ensuring the quality of welded joints is essential for maintaining structural integrity. However, most of the industrial...
An Overview of Additive Manufacturing's Role in industry 4.0
Romdhane Ben Khalifa, Ghalia Nhassa, Ali Snoussi. © 2024. 16 pages.
This chapter explores the integration of advanced digital manufacturing and production systems within the context of Industry 4.0, emphasizing the transformative potential of...
Toward Industry 4.0 Deep Learning Applications in Manufacturing Processes
Romdhane Ben Khalifa, Mohamed Naoui, Lassaad Sbita. © 2024. 15 pages.
Deep learning, a sophisticated subset of artificial intelligence that employs intricate neural networks with multiple layers, is steadily transforming the manufacturing landscape...