Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
11 December 2024 | Story Leonie Bolleurs | Photo Supplied
Dr Busisiwe Ntsele
Dr Busisiwe Ntsele earned her joint PhD from the UFS and Vrije Universiteit Amsterdam in the Netherlands. Looking ahead, her mission is to equip graduates with the skills to conduct research that addresses community needs with and by the community, highlighting the mutual benefits of true collaboration.

Dr Busisiwe Ntsele, a first-generation interdisciplinary scholar with a rich background in law, sociology, and human rights, returned to South Africa this year after completing a joint PhD degree between the University of the Free State (UFS) and Vrije Universiteit Amsterdam (VUA) in the Netherlands. Her mission is clear: to plant seeds of hope and drive transformative change in her community.

“My purpose is to share transformative narratives of change by spreading pockets of hope for young black girls who are often perceived to be at the bottom of the barrel in any given society,” says Dr Ntsele.

Her encounter with gender-based violence and involvement in advocacy and mobilisation of communities to stop gender-based violence sparked her passion for human rights and social justice.

Recognised for her contributions to building a just society, Dr Ntsele was awarded the prestigious Desmond Tutu Fellowship by the National Research Foundation, which supported her in pursuing this dual-degree opportunity. The title of her PhD thesis is A Critical Study of Community Engagement at a South African University.

Walking across the stage on Monday 9 December 2024 to receive her PhD during the UFS December Graduation Ceremonies on the Bloemfontein Campus marked the second time Dr Ntsele has celebrated this achievement in 2024. Earlier this year, in June, she defended her PhD in Amsterdam. In addition to her PhD, she holds a Bachelor of Arts in Law (UNESWA), a BA Honours in Industrial Sociology (UJ), and an MA in International Human Rights Law (Wits).

A double-barrel PhD

Speaking about her PhD, Dr Ntsele says the focus of her work was to critically study community engagement in South African universities using the UFS as a case study. “This case study equips us to understand community engagement (CE) and engaged scholarship (ES) within South Africa's higher education context,” she adds.

Her research explored how CE aligns with the UFS vision of supporting social justice, while addressing its broader role in post-apartheid South Africa. Through document analysis, interviews, and observations, she investigated the experiences of community members, students, staff, and policy makers involved in CE programmes.

Completing a joint PhD with four supervisors across two institutions not only exposed her to different skills, experiences, and varying personalities, but also offered a range of benefits. “In my case, it provided access to diverse expertise, research facilities, and methodologies, enriching the academic experience and strengthening innovative, interdisciplinary thinking.” The collaboration expanded her professional networks and connected her with global academic communities.

“As a first-generation student, I was never confident about my capabilities, but such exposure to varied academic systems and cultural perspectives improved my adaptability,” she explained.

“For the first time I saw myself as black, and I was not ashamed of my blackness. Instead, I was determined to put my community on the map by telling stories of hope. This hope inspired me to showcase the rich narratives of communities, highlighting how co-creating solutions alongside them can lead to epistemic justice, decolonisation, and the breaking down of knowledge hierarchy,” she reflects.

Decolonising education

Central to her study is the Meraka community, which beautifully tells the story of students, teachers, and community members who came together to build an indigenous cultural village using traditional methods combined with academic and scientific knowledge. “Meraka is not just a construction project; it’s about building relationships and valuing humility. The Meraka project is a typical example of how we can decolonise education by centring indigenous knowledge and supporting it with scientific research and lived experiences of the community,” she notes.

“By hearing the voices of the people in the community and treating them as equal contributors, my study contributed to an understanding of CE and its potential for co-creative and socially just outcomes in a rapidly evolving South African higher education context,” she states.

In the future, Dr Ntsele plans to pursue postdoctoral research, publish her findings, and advocate for the importance of integrating different forms of knowledge. Her goal is to educate graduates on the value of conducting research that addresses community needs with the community and by the community, emphasising the mutual benefits of such collaborative efforts.

Engaging with communities from start to finish of the project, Dr Ntsele found that universities must recognise the critical role academics play in addressing the invisible power dynamics that hinder engaged scholarship from reaching its full potential. “If universities are to break down institutional cultures, they need to confront normalised power structures and embrace partnerships that are mutually beneficial. They must also start treating communities as equal partners who have their own voice, rather than as blank slates or vulnerable groups in need of empowerment,” says Dr Ntsele. 

Also read and listen

Click to view documentMeraka Blog

Click to view documentNarratives of Change Podcast

Click to view documentCommon Good Digital story

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