Teaching Fluid Mechanics 5.0: Bibliometric Analysis Assisted Research, Teaching & Implementation Trends.

The global emergence of the Fifth Industrial Revolution has resulted in a conscious revamp of undergraduate curricula across Higher Education Institutes (HEIs) to realize the Education 5.0 (E.D. 5.0) and Society 5.0 vision. A prominent consequential impact has been the rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) into subjects like Fluid Mechanics/Dynamics, which is traditionally considered a "gateway course" towards understanding the interdependent flow of momentum, energy, and mass across physical and biochemical systems. With the advent of 5G and 6G technologies, the world today is much more globally connected – and it is the need of the hour to comprehensively assess the entirety of pedagogical insights, implementation trends, as well as how AI/ML may be suitably integrated into these courses to empower student learning and maximize conceptual retention. Via a detailed bibliometric analysis on the Scopus database over the last decade (2014-2024) with suitable Inclusion & Exclusion criteria, we (i) identify the most relevant concepts and topics perceived as valuable by industry/academia, (ii) capture current temporal publication trends, and (iii) identify the most relevant sectors and countries where this transformation is currently occurring. Insights obtained from this work will guide the revamp and strategic delivery of lecture content for undergraduate Fluid Mechanics courses (Fluid Mechanics 5.0) across both universities and HEIs globally