Emmanuel Afrane Gyasi

About

Emmanuel Afrane Gyasi is a pioneering researcher at the intersection of artificial intelligence and advanced manufacturing, with a primary focus on intelligent welding systems and robotic laser cutting. His work has been instrumental in demonstrating how AI can revolutionize traditional welding processes, particularly through predictive modeling for structural integrity in robotic gas metal arc welding (GMAW) of ultra-high strength steel fillet joints—a contribution that has garnered 27 citations. Gyasi’s most influential publication, a comprehensive survey on AI in welding (43 citations), explores the technological, economic, educational, and societal transformations driven by this integration, offering a forward-looking roadmap for the field. He has also advanced Industry 4.0 applications by examining the prospects of robot laser cutting, and developed laser triangulation-based vision systems for real-time weld quality verification and adaptive robotic control. Through these contributions, Gyasi has established himself as a key voice in the digital transformation of manufacturing, bridging the gap between theoretical AI models and practical, high-precision industrial applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Survey on artificial intelligence (AI) applied in welding: A future scenario of the influence of AI on technological, economic, educational and social changes

   43 citations · 2019
2. 2
   Modeling of an artificial intelligence system to predict structural integrity in robotic GMAW of UHSS fillet welded joints

   27 citations · 2017
3. 3
   Prospects of Robot Laser Cutting in the Era of Industry 4.0

   5 citations · 2022
4. 4
   Weld Quality Verification by Using Laser Triangulation Measurement

   3 citations · 2020

Key Collaborators

Contact & Links