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Prof Frans Prinsloo takes on new leadership role in the Faculty of Economic and Management Sciences

14 November 2023 | Story Anthony Mthembu | Photo SUPPLIED

The Faculty of Economic and Management Sciences (EMS) at the University of the Free State (UFS) has appointed Prof Frans Prinsloo as the Vice-Dean: Learning, Teaching, Innovation, and Digitalisation. Prof Prinsloo officially started his new role on 1 November 2023. “I am excited at the prospect of being able to support the academics in the faculty, enabling them to develop successful graduates who will not only sustain themselves and their families, but who can also function in and contribute positively to a dynamic world being transformed by technology,” Prof Prinsloo indicated.

What the new role entails

According to Prof Prinsloo, the role includes overseeing and providing strategic leadership regarding the teaching and learning portfolio within the faculty. The portfolio he is responsible for looks at teaching and learning policies as well as the development of new curricula in the faculty, among others. In addition, as part of his work, he indicated that, “I will also have to ensure that the faculty’s teaching approaches remain relevant and responsive to our diverse body of students’ learning needs to ensure their academic success, but also to develop essential graduate attributes. A further focus will be that the curricula of our academic programmes position our graduates to be in demand by employers and enable them to contribute meaningfully to the economy and society.”

Furthermore, Prof Prinsloo is responsible for ensuring that the academic programmes within the faculty are of high quality and accredited by all relevant top industry bodies.

The future of the faculty

As an Auditing academic for more than 25 years and Director of the UFS School of Accountancy for the past five years, Prof Prinsloo plans to use the experience he has acquired, as well as the leadership positions he has held throughout his career, to lead the faculty to new heights. “I look forward to positioning the UFS Faculty of Economic and Management Sciences as a faculty with effective and cutting-edge teaching approaches to ensure our students’ academic success, and to have quality and unique academic programmes that draw top students from across South Africa, Africa, and beyond – in line with the UFS Vision 130,” he said.

In addition, part of what he aims to accomplish in his term as Vice-Dean is working to establish the faculty and its academics as recognised thought leaders and innovators as far as teaching and learning is concerned. Prof Prinsloo also highlighted that, “We also need to ensure that the successes attained by the faculty and its staff are shared within and outside of the UFS, and as such, I will also be responsible for strategically leading the marketing efforts of the faculty.”

However, his efforts to advance the faculty are not only focused on the progress of the staff and their offerings, but also on that of the students. In fact, he indicated that, “I would also like to use this position to explore ways of further supporting our students, particularly recognising the multitude of challenges such as ineffective study skills, financial and mental wellness-related challenges that many of our students face.”

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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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