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10 November 2025 | Story Precious Shamase | Photo Supplied
Zandile Mncube
Dr Zandile Mncube presenting her research at the International Mountain Conference (IMC2025) at the University of Innsbruck, Austria.

In a remarkable milestone for both her academic and personal journey, Dr Zandile Mncube, a 27-year-old newly conferred PhD graduate from the University of the Free State (UFS), recently presented her research at the prestigious International Mountain Conference (IMC2025), hosted by the University of Innsbruck, Austria. The event marked not only her debut on the global research stage but also her first international trip and first flight – an experience she described as transformative. 

 

A mountain of research: From UFS weather stations to the global stage

Dr Mncube's journey to this international platform began with encouragement from Prof Ralph Clark, Director of the Afromontane Research Unit, and Dr Melissa Hansen, Lecturer in the Department of Geography, who recognised her potential and urged her to submit an abstract to the conference. 

"Prof Clark proposed that I write an abstract for this conference," Dr Mncube explained. “I had been managing the UFS weather stations and had just begun using their data, so I based my abstract on that work.” 

Her submission was accepted, earning her the opportunity to showcase her research alongside an impressive array of global scholars. The IMC2025, held biennially, brings together experts from across the world to discuss diverse aspects of mountain studies. Dr Mncube formed part of a strong South African delegation that included two students from UFS and one from the University of Cape Town (UCT).

"It was inspiring to see how diverse and multidisciplinary the field is," she said. "It was good to see that, as South Africans, we do fit into the global research stage and can hold our own through the quality of our work.”  

 

Vision for the future: expanding research horizons 

Having been part of the UFS community since 2017 - serving in various roles from student assistant to her current practical and research position – Dr Mncube is now looking ahead to further her research career.

"I want to explore more on the research side of things," she shared. “While I’ve gained valuable experience that could lead to lecturing, my immediate goal is to deepen my involvement in research and fieldwork within Geography.”   

 

A transformative experience and a call for greater support

Describing her participation at the IMC as a "transformative experience, both professionally and personally," Dr Mncube reflected on how it broadened her understanding of global scientific collaboration and highlighted the vital contribution of African researchers. 

She noted there remain "notable gaps in data and contextual understanding that African researchers are uniquely positioned to address," particularly in underrepresented mountain regions.

Dr Mncube strongly advocates for more South African students to be supported in attending international conferences. She observed that several of her peers at the IMC had earned recognition through the Southern African Mountain Conference 2025 (SAMC), further illustrating the value of regional and international engagement. 

"If more students are supported to attend conferences like IMC, it could open doors for them to engage in global research and collaborations that extend far beyond our borders," she said. 

Expressing her heartfelt appreciation, she concluded by thanking Prof Clark and Dr Hansen for their guidance and support, which made her international debut possible.

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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