Kuala Lumpur, Malaysia — The Center for Eco-Material Engineering and Manufacturing (PRME) of Universitas Negeri Yogyakarta conducted an academic visit to the Faculty of Artificial Intelligence (FAI), Universiti Teknologi Malaysia (UTM), Kuala Lumpur. This activity is part of PRME UNY's efforts to strengthen its international network by exploring research collaborations that integrate artificial intelligence (AI) with composite material development. The meeting served as an academic forum for PRME UNY and FAI UTM to discuss developments in the utilization of AI within the field of material engineering. The discussion focused on the potential application of machine learning and data-driven approaches to support material characterization, mechanical property prediction, manufacturing parameter optimization, and failure pattern analysis in composite materials. 

This collaborative opportunity holds strong relevance to the competencies of both institutions. PRME UNY focuses on the development of eco-materials, advanced composites, and sustainable manufacturing, while FAI UTM develops competency in the fields of artificial intelligence and intelligent engineering technology. This synergy opens up opportunities to develop a more integrated composite research approach between material experimentation and computational analysis. During the discussion, AI was seen as having the potential to increase efficiency in the composite material development process. Experimental data such as material composition, fiber orientation, manufacturing process parameters, density, and mechanical test results can be processed into a database to build predictive models. This approach is expected to aid the material optimization process more systematically while reducing the need for repetitive experiments that require substantial time and resources. 

For PRME UNY, AI integration has become one of the strategic directions in data-driven material research development. This approach is directed not only at improving the mechanical performance of materials but also at developing design and manufacturing processes that are more efficient, precise, adaptive, and sustainable. The visit also opens up opportunities for follow-up actions in the form of joint research, joint publications, researcher exchanges, student co-supervision, as well as the development of AI models for the characterization and optimization of composite materials. This cross-disciplinary collaboration is expected to produce research that possesses both scientific value and relevance to industrial needs. Through this visit, PRME UNY strengthens the direction of its multidisciplinary research development integrating material engineering and artificial intelligence. The collaboration with UTM is expected to drive innovations in the field of intelligent composite materials and manufacturing, while expanding PRME UNY's contribution to sustainable material development and digital transformation in engineering.