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07 November 2023 | Story Anthony Mthembu | Photo SUPPLIED
Katherine Swartland
Katherine Swartland, a representative from Allan Gray addressing the delegation at the Allan Gray Achievement Awards, hosted on the UFS’s Bloemfontein Campus.

The Faculty of Economics and Management Sciences (EMS) at the University of the Free State (UFS), in collaboration with Allan Gray, proudly hosted the annual Allan Gray Achievement Awards on 11 October 2023. This special event, held at the Awela Restaurant on the UFS’s Bloemfontein campus, was designed to celebrate the academic achievements of top-performing students within the faculty, recognising their excellence based on their year of study. 

The award ceremony was attended by distinguished members of the EMS Faculty, the Commercio Students Association, and a delegation from Allan Gray, including Katherine Swartland, Managing Business Analyst, Yonela Makalima, Business Analyst, and Steven Motloung, Manager. The evening's guest speaker was Liz Letsoalo, a renowned entrepreneur and TEDx speaker. Notably, this ceremony marked a significant return to in-person events since the outbreak of the COVID-19 pandemic, and Katherine Swartland, who served as the programme director, described this resurgence as truly exciting. 

The award winners

The Allan Gray Achievement Awards highlighted outstanding students from various year levels. In the second-year category, Modisaotsile Seekoei received a prestigious award of R5 000 along with a Thule backpack, while Melissa Mlotshwa was granted a prize of R3 000. Among the third-year students, Anthea Ralane was recognised with an award of R8 000 and a Thule backpack, and Modiehi Mpakathe was the recipient of a R5 000 prize. In the fourth-year category, Kelebogile Motlhanke earned a remarkable R12 000 reward and a Thule backpack, and Rykers Lues was presented with a prize worth R8 000. 

Although not all students attending the ceremony received awards, Prof Brownhilder Neneh, the Vice Dean for Research Engagement and Internationalisation, aptly reminded the audience, ’It is important to recognise that each of you here is already a winner, as your presence signifies that you are among the top achievers in your field. You have demonstrated that with passion, perseverance, and a commitment to your goals, there are no limits to what you can accomplish.’’ 

A longstanding relationship

The Allan Gray Achievement Awards holds deep roots in a special relationship between the UFS and Allan Gray. Swartland noted that this initiative was founded by Faizil Jakoet, an executive at Allan Gray, and the awards ceremony, in part, celebrates the continued partnership between the UFS and Allan Gray. This enduring relationship has thrived for over a decade, despite changes in leadership, creating opportunities for meaningful engagement between Allan Gray and UFS students. Swartland further emphasised the importance of this bond, saying, ‘’Another special relationship is formed every time we visit the UFS, between us and you, a lot of exceptional students.” 

As the event approached its conclusion, the audience had the privilege of hearing from guest speaker Liz Letsoalo, Founder of Masodi Organics, a prominent beauty and wellness brand. Letsoalo’s address centered on the ‘practicality of creating’, encouraging students to view themselves as creators, allowing them to pivot and adapt as their aspirations evolve. She urged students to stay dedicated to their dreams, emphasising that taking necessary actions and persevering is essential to turning their dreams into reality.

The Allan Gray Achievement Awards signify the remarkable achievements and potential of the UFS EMS Faculty students. This event not only celebrates academic excellence, but also reinforces the enduring partnership between the University of the Free State and Allan Gray, paving the way for further opportunities and engagement.

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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