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08 April 2025 | Story Precious Shamase | Photo Supplied
Sifiso Banda
Sifiso Banda balances library duties and academic goals, showcasing innovation and resilience at the UFS Qwaqwa Campus.

In the heart of the University of the Free State Qwaqwa Campus, Sifiso Banda's story is one of ambition, and the seamless fusion of seemingly disparate worlds. Balancing his role as Senior Assistant Officer: Circulations and TK Mopeli Makerspace in the library with the rigorous demands of a BSc Honours Degree in Computer Science, Banda has not only excelled but also inspired.

 

Overcoming challenges fuelled by dreams

"Computer Science is my primary passion," Banda explains, his voice resonating with determination. "Being in academia allows me to interact with ever-evolving technologies. I love problem-solving and creating new ideas to help my community. “However, the path was far from easy. Juggling a demanding job with intense academic pressure led to sleepless nights and near-burnout. "It required immense professionalism in time planning and management," he confesses. "I almost gave up, but the unwavering support of my colleagues and supervisors kept me going."

Banda's journey is a testament to the power of perseverance, fuelled by a deep sense of responsibility and gratitude. "I had to remind myself daily who I was doing this for," he says, his voice filled with emotion. "My late mother used her last savings to register me for university, giving me an opportunity she never had. That memory pushed me through the pain."

 

From theory to practice: Innovating library technology

His unique position within the library has provided an unexpected synergy with his Computer Science studies. "I saw a gap to bridge theory with practical application," Banda explains. "I want to use my tech skills to innovate and make education engaging, developing systems and apps that simplify student life."

He discovered that library science extends far beyond traditional book management. "It's not just borrowing and cataloguing," he says. "There are diverse career paths for a computer scientist, such as systems librarian."

Banda's practical application of his computer science knowledge is evident in his daily work. He plays a key role in managing and configuring the library's technology, including RFID self-check machines and automated chutes. Notably, a YouTube demonstration he created showcases his ability to bridge the digital divide for library users.

The most daunting challenge was his mini-dissertation. "It demanded immense time, often encroaching on my work hours," he recalls. "Balancing coding, documentation, and assisting patrons was incredibly difficult."

 

Evolving technology and support

His fascination with computer science stems from its dynamic nature. "Technology evolves daily," he says. "I'm particularly drawn to artificial intelligence and machine learning, as I envision a future where everything is digitised. My childhood dream was to build robots that could assist in households."

Banda credits several mentors for their profound impact on his academic journey. Prof Richard Ocaya, Prof Lehlohonolo Koao, Dr Andronicus Akinyelu, and Adebola Musa all provided crucial guidance and support. He also acknowledges the invaluable emotional support from Nonhlanhla Moleleki, a counsellor, and Khethiwe Bhiyo, his academic adviser. "The community at large played a vital role," he emphasises.

His advice to students working while studying is simple yet powerful: "Everything is possible with consistency, persistence, determination, and dedication. Keep focused, no matter how long it takes."

His research project, an online dining hall purchasing system, exemplifies his commitment to community-driven innovation. "It has reduced wait times and queues across our campuses," he says proudly.

Looking ahead, Banda plans to pursue a master's degree, aiming to combine his library experience with his technical expertise. "I envision libraries becoming increasingly digitised, and I want to be part of that evolution," he states.

The skills he gained – time management, multitasking, collaboration, and the courage to seek help – will be invaluable in his future endeavours. "Most importantly, believe in yourself," he concluded.

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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