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03 July 2023 | Story Leonie Bolleurs | Photo Stephen Collett
Prof Oliver Mutanga and Prof Melanie Walker
Prof Oliver Mutanga, one of the first PhD gradautes under the SARChI Chair in Higher Education and Human Development, pictured with his former supervisor, Prof Melanie Walker, during his first visit to the university after ten years.

Prof Oliver Mutanga, a University of the Free State (UFS) alumnus with a PhD in Development Studies and an experienced researcher focused on matters pertaining to disability, education, equality, and health issues, recently took up the position of Assistant Professor in the Graduate School of Education at the Nazarbayev University in Astana, Kazakhstan.

Prof Melanie Walker, Director of the SARChI Chair in Higher Education and HumanDevelopment (HEHD) at the UFS, invited Prof Mutanga to discuss his own research via an open webinar and to engage with members of her research group.

Prof Walker explained that she was delighted to host Dr Mutanga at the university, given his profile as an outstanding and internationally mobile early career researcher, from whom others in her group could learn. “Further, I very much wanted Dr Mutanga to speak about his own research, given its overall academic excellence, quality, and impact. Going forward, I am looking forward to developing this link with Dr Mutanga and his colleagues abroad around critical diversity studies,” she states.

Profs Walker and Mutanga have collaborated in the past to write articles for academic journals arising from his doctoral research. Examples include, ‘Towards a disability-inclusive higher education policy through the capabilities approach’ (published in the Journal of Human Development and Capabilities) as well as ‘Exploration of the academic lives of students with disabilities at South African universities: Lecturers’ perspectives’ (published in the African Journal of Disability).

Prior to joining Nazarbayev University, Prof Mutanga gained valuable research and development experience in various countries, including Zimbabwe, Botswana, South Africa, Norway, and the United Kingdom.

He has also received several accolades for his work, including the prestigious Marie Sklodowska Curie Postdoctoral Fellowship at the University of Oslo, Norway, and the Global Challenges Research Fellowship at University College London's Institute of Education.

A unique outlook on disability

In 2013, Prof Mutanga was part of the first cohort of PhD students under the SARChI Chair in Higher Education and Human Development. Recently, during his three-day visit to the UFS, he addressed the HEHD research group and an international academic audience during a hybrid seminar on the perceptions and experiences of disability within the Tembo Mvura communities of Northern Zimbabwe.

In his research for this paper, Prof Mutanga uses storytelling and in-depth interviews to offer a distinctive, community-based, and Southern interpretation of disability. By applying the capabilities approach and the ubuntu philosophy, his study presents a contrast to Western perceptions of disability that often emphasise individual limitations and differences based on physical and mental characteristics, which have the potential to both result in isolation and to understanding people as autonomous but isolated beings.

Within the Tembo Mvura communities, he discovered that disability is viewed through a lens of interconnectedness between individuals, their environment, and the spiritual world: “They recognise the inherent worth and dignity of all individuals, irrespective of their impairments,” found Prof Mutanga. Indeed, impairment of full personhood is understood as lacking in any of the three dimensions outlined above.

Thus, Prof Mutanga explored the complex interaction of identity, access to land, laws, and language, as well as labelling, highlighting how these factors shape perceptions and experiences of disability within these communities.

He is of the view that these findings will have implications for North-dominated disability discourse and for policy, practice, and research within indigenous contexts, such as the Tembo Mvura, where disability is uniquely perceived and experienced.

In addition to the hybrid seminar, Prof Mutanga led valuable sessions with the HEHD Research Group, where the PhD and postdoctoral fellows had the opportunity to workshop and refine various aspects of their current research papers and to engage in discussions around building their academic careers.

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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