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29 October 2025 | Story Tshepo Tsotetsi | Photo Kaleidoscope Studios
EDSA Prestige Awards
From left: Dr Temba Hlasho, Executive Director: Student Affairs; Jane Mpholo, 2025 Student of the Year; and Prof Noluxolo Gcasa, Guest Speaker, at the 2025 EDSA Prestige Awards.

The Division of Student Affairs at the University of the Free State (UFS) brought together students, staff, and senior management on Friday 24 October 2025 for the fourth edition of the Executive Director: Student Affairs (EDSA) Prestige Awards – an evening dedicated to recognising students whose leadership, creativity, and commitment are shaping a more inclusive university.

Held at the Bloemfontein Campus, the ceremony honoured outstanding students across all three campuses who have excelled through academic performance, community engagement, and innovation. From sport and residence life to student governance, counselling, health and wellness, social support, and the Centre for Universal Access and Disability Support, each award reflected the depth of student impact within the university community.

 

A night that belonged to students

Dr Temba Hlasho, Executive Director of Student Affairs, said the awards serve as a reminder of the values that underpin the UFS journey toward Vision 130. “By recognising and rewarding excellence,” he said, “we reinforce the culture of achievement and innovation that drives our students.”

He congratulated the winners for their perseverance, describing them as “dreamers who never give up” – borrowing the words of Nelson Mandela – and encouraged them to remain ambassadors of the university’s spirit of excellence.

Guest speaker Prof Noluxolo Gcaza, Associate Professor from Nelson Mandela University, reflected on the meaning of excellence in her keynote address. “Excellence is a way of being,” she said. “It’s not about recognition at the end – it’s the fruit of your quiet perseverance. Whether your name is called or not, your contribution adds to the living story of this university.”

The highlight of the evening was the announcement of the EDSA Student of the Year, celebrating students who embody global citizenship, academic distinction, leadership, and community engagement.

Jane Mpholo-Mehlape, an Honours in Drama and Theatre Arts student specialising in Theatre for Young Audiences and Directing, earned the top honour. A multi-award-winning theatre-maker, filmmaker, and social entrepreneur, she uses the performing arts to confront social issues, create employment, and mentor young people.

“It feels surreal,” she said after receiving her award. “For years I’ve poured everything into my work, so this recognition affirms that what I’m doing matters… that we are seen.”

Coming from the performing arts, she added, the recognition carries special weight. “People often see performance as just entertainment,” she said. “But art can give people voices and opportunities. This award recognises leadership, transformation, and community – and those are everything that I am.”

Joining her were Thabang Mahlangu, a Human Resource Management student and member of the Shimlas rugby team, who received the first runner-up honours for his contributions to sport, leadership, and community engagement, and Mbalenhle Thungo, a Bachelor of Administration student from the Qwaqwa Campus, who was named second runner-up. Thungo is an entrepreneurial student leader serving as the Deputy Chairperson of the Faculty of Economic and Management Sciences Student Council.

Together, the winners represent the diverse ways in which UFS students continue to demonstrate excellence: not as a goal, but as a way of being that reflects the heart of the institution.

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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