Recent research:
An integrated examination of how heat transfer, computational modeling, and educational technology shape materials engineering and learning environments. The first work analyzes one-dimensional heat conduction in bars to understand how material properties (density, specific heat, diffusivity, thermal conductivity) and sources influence temperature distributions, informing design optimization and thermal system efficiency in materials engineering. The second contribution advances numerical methods for nonlinear chemo-fluidic oscillator models by proposing a finite element Euler–Taylor–Galerkin scheme, enabling stable semi-discrete solutions and exploring hydrogel-driven oscillations through time-stepping and Galerkin spatial discretization, with Matlab-based visualization. The third study presents an online evaluation approach to improve tests within virtual learning environments (VLEs), combining a literature-informed phase with a quantitative survey of 143 teachers to validate a questionnaire-based assessment framework (95% confidence, 5.9% margin), addressing methods, hybrid education, evaluative tools in VLEs, and ICT in education. Collectively, the body of work emphasizes applying rigorous quantitative and computational methods to optimize material systems, simulate complex dynamic processes, and enhance educational assessment in technology-rich settings.

Key Topics:

• Materials Science, Manufacturing & Additive/Subtractive Processes
• Research Methods, Measurement, Bibliometrics & Academic Practice
• Education, Pedagogy, Teacher Training & Inclusion
• Educational Technology, Gamification, XR & Learning Analytics