Recent research:
The researcher conducts an integrated program on advanced measurement, manufacturing and optimization across biomedical sensing, materials processing and precision machining. In biomechanics and healthcare engineering, low-cost wireless IMUs were used to analyze gait across regular and irregular surfaces, applying polynomial regression to predict joint-region kinematics and comparing against established models, highlighting surface-induced gait differences and potential medical application of wearable sensing devices. In manufacturing, the work develops and validates laser-cutting and machining parameter sets for stainless steel and AISI steels using response surface methodology, Taguchi design and ANOVA to quantify factor influences (notably cutting speed and machining strategy) on surface roughness and process stability. Predictive equations for surface roughness are established with acceptable error bounds, enabling optimization of cutting conditions and strategies (e.g., Radial Zigzag, Zigzag variants) to balance quality and production efficiency. The research consistently emphasizes standards, validation, and measurement best-practices to support reproducible results. This holistic profile positions the author at the intersection of biomedical instrumentation, materials processing and data-driven optimization, with impact potential in affordable health monitoring technologies and cost-effective manufacturing engineering.

Key Topics:

• Materials Science, Manufacturing & Additive/Subtractive Processes
• Optimization, Operations Research & Decision Support
• Standards, Validation, Benchmarks & Measurement Best-Practice
• Sensors, Instrumentation & Measurement Systems
• Biomedical Engineering, Rehabilitation, Prosthetics & Neurotechnology
• Optics, Photonics, UV Technologies & Emerging Communications
• Healthcare, Clinical Epidemiology & Public Health