Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
10 October 2025 | Story Precious Shamase | Photo MAFF (Music Art, Food and Fashion) Photography
Roots of Wisdom
Pictured from the left: Princess Shoeshoe Tsiame Mopeli; Prof Cias Tsotetsi, Qwaqwa Campus Vice-Principal: Academic and Research; Prof Lerato Seleteng-Kose from the National University of Lesotho; and Dr Komi Afassinou, Senior Lecturer in the UFS Department of Mathematics and Applied Mathematics.

History was made at the University of the Free State (UFS) Qwaqwa Campus with the groundbreaking convergence of the Dr TK Mopeli Indigenous Knowledge System (IKS) Memorial Lecture and Symposium. This joint inaugural event, held under the compelling theme, Roots of Wisdom: Integrating Indigenous Knowledge in Science and Education: The Legacy of Dr TK Mopeli, served as a powerful platform to bridge the academic sphere with the lived wisdom of local communities.

 

Core vision: From commemoration to critical engagement

The planning team’s core vision was clear: to create a unifying platform where the scholarship of IKS could meaningfully intersect with the lived experience. Held on 19 September 2025, the combined memorial lecture and symposium moved beyond a mere commemoration of Dr Mopeli's enduring legacy. It aimed to be a critical engagement that actively pushed the boundaries of contemporary discourse.

The theme itself was a call to action. It sought to highlight the resilience, innovation, and relevance of IKS in solving modern problems, ensuring that indigenous perspectives not only survive but actively shape scientific research, educational curricula, and community development. This focus linked the region’s heritage to future possibilities, echoing Dr Mopeli’s own dedication to education and self-reliance.

 

Wisdom beyond the lecture hall: Inclusive participation

Recognising that indigenous knowledge is deeply rooted in lived experience – as highlighted by keynote speaker Prof Lerato Seleteng-Kose’s presentation on the role of IKS in scientific innovation in Lesotho – the planning team prioritised authentic and inclusive participation. Their strategy deliberately mixed celebrated academics with vital community voices. This involved engaging traditional leaders, community elders, and local IKS practitioners alongside university faculty. 

To bridge the gap between abstract discourse and grassroots practice, the event created a space where storytelling, rituals, and oral traditions were given value equal to formal scholarly papers, including the message from Princess Shoeshoe ‘Tsiame’ Mopeli on cultivating self-reliance. Sessions utilised local languages, most notably Sesotho, to ensure that the knowledge holders felt fully represented and heard.

Dr Elias Nyefolo Malete described Dr Mopeli as a humble leader, passionate about the advancement of his people and the preservation of the Basotho nation. in his address on An Ideational Analysis and Integration of African Folktales in Science, Technology, and Education, he further emphasised the need to treat indigenous narratives not as relics, but as dynamic sources of knowledge for education.

 

The road ahead: Actionable outcomes

The symposium was not designed to be an echo chamber. The planning team identified several specific, measurable deliverables aimed at tracking the long-term impact of the discussions:

Policy Influence: Generating recommendations to be shared with local and national structures to positively influence cultural heritage and education policies.

Curriculum Development: Actively informing the integration of IKS into university curricula across various disciplines, ensuring that future students engage with both the theoretical and applied dimensions of indigenous knowledge.

Community Initiatives: Establishing partnerships to support grassroots-level, community-led projects in areas vital to Dr Mopeli's vision, such as sustainable agriculture, health practices, and cultural preservation.

To ensure that these discussions translate into tangible action, a monitoring framework is being put in place. This includes creating a public repository of all presentations and community contributions and establishing follow-up meetings between the university and community stakeholders.

One of the members of the planning team, Prof Puseletso Mofokeng, concluded, “The 2025 Symposium was a historic moment, transforming the late Dr TK Mopeli's Memorial Lecture into a living, dynamic platform. It reaffirmed that indigenous knowledge is not merely a preserved artefact of the past, but a vital, evolving resource capable of guiding sustainable development and shaping a self-reliant future for the region. The event laid the groundwork for Dr Mopeli’s dream to continue living, not just in memory, but in action, policy, and education.” 

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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept