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06 March 2020 | Story Thabo Kessah | Photo Tsepo Moeketsi
Dr Ocaya
Dr Richard Ocaya’s research addresses the skills development and transfer millennium goal of many governments globally.

With the Fourth Industrial Revolution becoming a reality, Dr Richard Ocaya’s research is receptive to the fact that Africa and the world need to re-imagine their research. His research focuses on electronic instrumentation design for scientific measurements, computational physics on atomic nano-atomic structures, and semiconducting organic compounds materials built on silicon to realise Schottky devices.

Software developer 
“I develop most of the instrumentation that I apply in my research – both software and hardware,” said Dr Ocaya, a Physics Lecturer and Programme Director: Physics and Chemistry on the UFS Qwaqwa Campus.

“I am active in scientific computing through the computing cluster and software development, mathematical physics for material science modelling, and embedded instrumentation design using microprocessors. I also have deep interest in radio and data telemetry, in which I hold a South African patent issued in 2013. My present international collaborations are with like-minded researchers in similar fields in Saudi Arabia, Turkey, Japan, Egypt, South Korea, and the United States,” he added.

How does his research talk to the real world?
“The driving principle of all areas of my research has always been to deploy cutting-edge research to actual, real-world applications for the immediate betterment of Africans. The areas of my research align closely with the millennium goals of many governments globally, including the Republic of South Africa. These goals pertain to skills development and transfer that position us to better address the challenges of energy, water, and other priorities.”

Dr Ocaya is currently co-promoting a PhD student, having previously supervised one PhD, two MSc, and more than twenty honours students. He is a self-taught electronics and computer programmer, whose curiosity led him to question ‘the voices and music coming from a box; a radio’. “In my quest to satisfy my curiosity, I collected many discarded devices, took them apart, and tried so many circuits, only to have them fail because the theory was lacking. After thousands of failed projects and with me barely thirteen and in lower secondary school, my first ever project actually worked,” he said.

NRF-rating
He is the author of the book Introduction to Control Systems Analysis using Point Symmetries: An application of Lie Symmetries, which is available in all major bookstores such as Amazon, in both print and e-book format. He is a C3 NRF-rated researcher whose work makes a pioneering contribution to the new and growing field of phononics, an independent field of the now established photonics.

“This field will someday lead to improved energy-storage devices and faster processors due to more efficient heat removal from nanodevices,” he concludes.


News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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