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18 July 2025 | Story Precious Shamase
UFS Green Campus Initiative Team
The UFS Green Campus Initiative team after being announced winners for the fourth consecutive year.

The University of the Free State (UFS) is celebrating an outstanding achievement at the 12th Annual Green Campuses Conference (GCC) 2025, where its dynamic Green Campus Initiative (GCI) team from the Qwaqwa Campus clinched the coveted Best Exhibition Award. This marks an unprecedented fourth consecutive year that the UFS has secured this prestigious accolade, highlighting its unwavering commitment to sustainability and innovation within the higher education landscape.

Hosted by Nelson Mandela University in Gqeberha, Eastern Cape, the conference was presented by the Association of College and University Housing Officers - International (ACUHO-I) under the profoundly relevant theme, Ubuntu and Environment: African Indigenous Knowledge in Sustainability. Endorsed by the Department of Higher Education and Training, the GCC serves as a pivotal platform for institutions of higher learning across South Africa to exchange vital knowledge, share best practices, and explore groundbreaking innovations in environmental sustainability and climate change mitigation.

The UFS GCI team's exhibition captivated judges and attendees alike with its exceptional creativity, innovative spirit, and profound dedication to envisioning a greener future. "The creativity, innovation, and commitment to sustainability shone through every detail of the display," remarked residential head Itumeleng Lebusho, "a true reflection of what it means to envision a greener future".

The five students who represented the institution were Amukelani Ngobeni, Minenhle Mnguni, Sinenhlanhla Mathabela, Charmaine Nokubonga Nkosi, and Thandolwethu Nyathikazi.

A cornerstone of the student-driven conference, the GCC featured three main categories: project presentations, a runway showcase, and the highly anticipated exhibition. UFS students excelled across the board, demonstrating their ingenuity in tackling real-world campus challenges with sustainable solutions.

A particularly notable project was the student-designed mobile trolley. Addressing a common predicament faced by students transporting groceries from the main gate to their residences due to campus restrictions on taxis for security reasons, the team engineered an innovative solution. This solar-powered mobile trolley, equipped with batteries and a motor, began as a prototype in 2024 and has since evolved into a testament to student-led problem-solving. While the current iteration requires a Code 8 driver's licence to operate, its potential to revolutionise campus mobility is clear.

The conference's annual theme encourages participants to devise sustainable solutions to problems faced on campus, a challenge that the UFS GCI team has embraced with remarkable success.

The UFS' consistent triumph at the GCC is a testament to the dedication and sacrifice of its students, whose forward-thinking ideas continue to push the boundaries of what is possible in campus greening. "The students worked in a way that we never imagined," expressed Desiree Motsele, Residence Head within Housing and Residence Affairs. "The ideas that they come up with are truly inspiring."

By actively participating in this significant event, the UFS is not only strengthening its commitment to creating a green campus but also fostering a healthy learning and living environment. This continued dedication prioritises sustainability, advances energy efficiency, champions resource conservation, and promotes environmental stewardship, solidifying the UFS' position as a leader in sustainable practices within South African higher education.

The Director: Student Affairs, Zoleka Dotwana, said she would like to congratulate the students on yet another gold they won at the GCI 2025. “The effort, the hard work, the commitment you have shown, has once again raised our UFS flag high. I hope the experience and the graduate attributes you have learnt in preparing your project will go a long way in providing you with great opportunities when you leave our shores. It has been an awesome journey over the four years, one that we hold dear and that will remain in the history books of our campus. Thank you for flying our flag high - Only a Kovsie knows the feeling!' said an ecstatic Dotwana.

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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