Engr. Dr. Hanzlah Akhlaq

Research centers on seismic isolation systems in bridge engineering, with particular expertise in the development and machine learning-based design of Two-Stage Friction Pendulum Bearings. This work integrates artificial intelligence and explainable AI methods into structural and materials engineering problems, spanning seismic response prediction, buckling strength of cylindrical shells, and the rheological and mechanical behavior of pumpable concrete. A parallel thread addresses sustainable construction materials, including the use of renewable and supplementary materials such as GGBS to improve concrete performance while reducing environmental impact. Across these areas, the work bridges performance-based seismic design, structural health monitoring, and data-driven modeling.