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23 September 2021 | Story Leonie Bolleurs | Photo Supplied
Frans Koning recently obtained a CERA accredited enterprise risk management (ERM) qualification from the Actuarial Society of South Africa.

“If you fail to plan, then you plan to fail.”

“During and after planning, ensure that you identify all risks, since it would be the risks that you did not identify that might sink you.” 

These are two of the beliefs of Frans Koning, Senior Lecturer and Head of the Department of Mathematical Statistics and Actuarial Science at the University of the Free State (UFS), whose outputs in life – whether as lecturer or risk manager – are about planning. 

Koning, a qualified actuary with an interest in corporate governance, has been investing in his growth and development for the past three years by enrolling and obtaining an enterprise risk management (ERM) qualification from the Actuarial Society of South Africa, which is a member of the CERA Global Association (CGA). Having a Chartered Enterprise Risk Actuary (CERA) credential means that he worked through a world-class curriculum that is recognised globally and transferable internationally. This qualification gives professionals greater exposure to the C-suite and leadership, while empowering them to become a more highly valued resource for a company. 

Pulling out all the stops

CGA describes itself as a body that provides accredited risk professionals with strong ERM knowledge to drive better business decisions in finance and insurance. It associates characteristics such as professionalism, ethics and trust, impeccable standards and integrity with students who have obtained the CERA credential. “These professionals can communicate ideas effectively with leadership and is qualified to play varying roles within an organisation, from risk manager to chief risk officer and more,” it states. 

He had to pull out all the stops to obtain this qualification. “This was about 400 hours of study; and absolutely worth it. Since it was very interesting, I did not consider it hard work,” says Koning, who believes in a positive outlook on life. “I have never seen a successful pessimist,” he says. 

This qualification enables him to add extra value in the classroom, teaching Risk Management. Discussing hard questions in class, linking it to practice, i.e., modelling COVID-19 and discussing its effect on life insurance, is what he loves about this profession. He misses student interaction in the classroom, saying that interaction and discussions are not the same with a Blackboard/Teams/Zoom meeting.

A multitude of opportunities 

Koning, who has been with the university since 2003, believes his motivation of students makes a difference in their lives. “Teaching students and seeing them grow into actuaries and chief executive officers of companies gives me great satisfaction,” he states.

He lectures Life Contingencies, which is about calculating life insurance premiums and reserves, as well as Asset and Liability Management, which teaches students about managing the liabilities arising from selling insurance and managing the assets backing these. 

Teaching students and seeing them grow into actuaries and chief executive officers of companies gives me great satisfaction. – Frans Koning

 

As an independent non-executive director (NED) at African Unity Life (Ltd), he also chairs the risk committee and serves as a member of the audit committee. Koning is of the opinion that this qualification will be useful in more board positions than NED. This is but one of his options. According to him, there are a multitude of opportunities in the private sector, as all entities manage risk.

“I also intend to do some research in the space of enterprise risk management, something which I enjoy,” he adds. 

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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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