Biodata

Rahmita earned her B.Sc. and M.Sc. degrees in Science Mathematics from Universiti Sains Malaysia in 1989 and 1994, respectively. She began her career as a research assistant in the Department of Physics, focusing on ozone layer monitoring, before becoming a tutor at Universiti Putra Malaysia. She later obtained her PhD in Computer Assisted Engineering from the University of Leeds.

From 2000 to 2025, Rahmita served as a lecturer in the Faculty of Computer Science and Information Technology, specialising as a Professor in Computer Graphics. Her research interests include computer graphics, computer-assisted surgery, and augmented reality. She has published over 100 journal articles, conducted 20 research grants, and supervised 28 research students along with numerous BSc and MSc projects. 

She co-founded the Computer Graphics, Vision, and Visualization Research Group (CGV2) and the Computer Assisted Surgery and Diagnostic (CASD) Special Interest Research Group. Rahmita was instrumental in drafting a Memorandum of Agreement for the CASD group between UPM, UKM, and IJN, signed on February 15, 2013. 

She has completed a project on an interactive augmented reality textbook for the Ministry of Education and has delivered student products to Pharmaniaga as part of a consultation collaboration. Currently, she is the Director of CASD Innovate Sdn Bhd, focusing on AI and immersive technologies in healthcare and digital innovation.

My short CV

UNPUBLISHED PHD THESIS: INSPECTION STRATEGIES FOR COMPLEX CURVED SURFACES

The accurate measurement of complex surfaces is difficult. Accuracy demands precision in measuring technology, i.e., the measuring machine and precise mathematical representation of complex geometries. his thesis introduces a method of measuring a complex surface using a Coordinate Measuring Machine and, in this case, mathematically representing the measured surfaces. This enables comparison with other surfaces, e.g., the as-designed or original unworn surface. The measurement of the knee prosthesis was taken as a case study. To measure accurately the complex surface, this thesis proposes a method based on a surface fitting technique. Several techniques are available, such as Bézier, B-Spline and NURBS; in this case, the author has chosen the Bézier technique. The author has chosen the surface interpolation technique of scattered data to represent the complex surface with minimum measuring points. Due to the complexity of the shape, it is better to use triangular patches than rectangular patches. The work is an extension and combination of techniques suggested by Goodman and Said. The need to accurately measure the amount of wear particles released from the knee joint implanted during operation within the human body is becoming important. This amount of wear is critical to the joint's life expectancy. The volume of material can be calculated by accurately measuring the knee joint surface and subsequently determining the small difference between the measurements before and after wear testing. The main objective of this research is to accurately measure and represent a complex surface, e.g. the surface of the knee joint prosthesis so that minimal changes in the surface can be detected. The author has produced a planning strategy for the measurement. This proposed plan involves taking several points on the knee, using the fitting technique to produce a set of points and producing a CMM program to measure one whole knee for each design. This proposed measurement plan also involves approximating the original surface of the ex-plant because, in most cases, the surgeon does not have a blueprint or original design for the knee joint.