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22 August 2024 | Story Mbali Moiketsi
Alexander Solomons
EMS honours student Alexander Solomons has been awarded the 2024/2025 Ernst Mach Grant to take part in an exchange programme with FH Salzburg University.

Alexander Solomons, an honours student in the Faculty of Economic and Management Sciences at the University of the Free State (UFS), has been awarded the prestigious Ernst Mach Grant for the 2024/2025 academic year. This competitive grant will enable Solomons to participate in an exchange programme at FH Salzburg University, one of Europe’s leading institutions for higher education and research, in Salzburg, Austria.

The Ernst Mach Grant, named after the renowned physicist and philosopher Ernst Mach, is funded by the Austrian Federal Ministry of Education, Science, and Research. It aims to foster international academic exchange and support students who demonstrate exceptional academic merit and a strong commitment to their field of study.

“Spending time abroad did not seem like something that I would be able to do so early in my life,” Solomons said. “Coming from Scottsville, Kraaifontein, in the Western Cape, I never thought that I would be able to take part in opportunities such as this one.”

“Alexander’s selection as an Ernst Mach Grant recipient is a testament to his hard work, dedication, and the high standards of academic programmes at the UFS,” said Lynette Jacobs, Acting Director in the Office for International Affairs at the UFS.

During his time at FH Salzburg University, Solomons will have the opportunity to immerse himself in a vibrant academic environment, engage with leading scholars in his field, and access cutting-edge resources and facilities. “I will have the opportunity to deepen my knowledge and engage in a different form of high-impact learning,” he said. “Professionally, international experience can be valuable in the advancement of my career. Being exposed to global practices as well as networking has the potential to enhance my career prospects and potentially open doors for me in the country I originate from and internationally.”

Jacobs added that this programme will not only enhance Solomons’ academic and professional development but also strengthen the international ties between the UFS and FH Salzburg University.

"I am thrilled to witness the incredible opportunities scholarship programmes offer to our students,” she said. “Scholarships like the Ernst Mach Grant not only provide financial support but also open doors to unparalleled academic and cultural experiences. I strongly encourage all UFS students to explore these opportunities and apply for scholarships. Studying abroad can be a life-changing experience, offering new perspectives, fostering personal growth, and building a global network.”

In addition to his academic pursuits, Solomons will serve as an ambassador for the UFS, sharing his experiences and insights with his peers and faculty members at FH Salzburg University. He intends to integrate the knowledge gained into research and projects he takes on in the future. He believes the exposure to diverse opinions can help him approach problems from a more global perspective, and help him think in a more adaptable and inclusive manner.

“His participation in this exchange programme will contribute to the ongoing efforts to promote international collaboration and cultural exchange within our academic community,” Jacobs said.

Students and staff interested in applying for scholarships are welcome to contact Mbali Moiketsi, Study Abroad Officer  in the Office for International Affairs on the top floor of the Theology Building.  Information about scholarships is shared regularly through channels such as newsletters, social media, and the UFS website.

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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