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04 January 2021 | Story Leonie Bolleurs | Photo Supplied
Hay’s family celebrated his graduation ceremony with him in 2013. Pictured here are Frank Hay (father), Hay, his brother, Shanley and his mother, Vasi Hay.

Diversity, inclusivity, and transformation are what sets the University of the Free State (UFS) apart from other institutions of tertiary education. It instils in graduates the values of attention to detail and precision, being meticulous, adherence to deadlines, being honest, ethical, and taking the ‘moral high ground’. 

Graduates at the UFS are also introduced to high levels of dedication and commitment, irrespective of the task at hand; taking pride in producing work of high quality; having a non-discriminatory mindset; the ability to be team players or leaders (depending on what needs to be done); and demonstrating an understanding and consideration for society at large. 

This is the view of Ashley Hay, a successful UFS alumnus who completed his honours (accepted through the Recognition of Prior Learning process) and master’s degrees (graduating cum laude) in the Department of Urban and Regional Planning. Throughout his academic career, Hay has achieved good results and accolades such as Best Master’s Student, Best Master’s Dissertation, Best Research in Advanced Planning Practice, and also receiving membership of the Golden Key International Honour Society.

Today, he is employed by the Gauteng Provincial Government as Director: Land Use Management and Statutory Boards in the Office of the Premier and is in transition to a new branch called ‘Urban Planning’ under the Minister for Cooperative Governance, Urban Planning and Human Settlements.  

He leads a team of professionals on spatial planning and land use management aspects, and particularly to monitor and support three metropolitan municipalities, two district municipalities, and six local municipalities in Gauteng. His achievements include the development of a policy document titled, Gauteng City Region Implementation Plan for SPLUMA, which was approved by the Provincial Cabinet Executive Council and endorsed by the Premier’s Coordinating Forum. At a previous place of employment, the uMshwathi Local Municipality, he was the author of one of the best Integrated Development Plans (IDPs), which received an award in KwaZulu-Natal.

Proudly UFS

Hay believes he was equipped with a set of values and skills to deliver services and to make a difference wherever he is. Not only through the resources and means available to him, but also with a high level of dedication to the general good of others – whether it is ordinary citizens or people who just need the very basics to uplift their livelihoods. “These basics should be forthcoming from the people’s government, which in turn implicates me among many other government employees,” he believes.

Hay says in the UFS Department of Urban and Regional Planning – from the administration team through to the lecturers and senior academics – everyone plays a role to instil a wealth of knowledge and expertise in students to understand and resolve societal problems. “It is the manner in which the course is conducted, the administrative facilitation, the steadfast pace of learning, as well as the personal attention to students, that have equipped us to later formulate solutions for everyday life challenges.”

He is convinced that these are the fundamental principles that graduates need to achieve academic excellence and make themselves employable in a competitive world.

Words that stick with Hay from his master’s classes, are those of the former Head of the Department, Prof Das Steyn, “Gain experience, build your capacity, and do something positive with the education you receive. Education is not what we teach you, it is what you do with it. Everyone gets the same degree, but some will fail with it and some will do something positive with it and make a difference”. 

Standing out

And UFS graduates distinguish themselves in the workplace.

“In my work environment, the UFS graduates I know and have worked with are dedicated, goal-orientated, and passionate about the discipline. We go the ‘extra mile’ irrespective and have been able to apply the knowledge we gained from university towards problem-solving and contributing to make society a better place for all,” says Hay.

He also believes that the university has strong leadership and dedicated staff who actively respects the country’s rich diversity, acknowledging that we are an all-inclusive society, and creating a learning atmosphere that is transformed towards democratic principles.

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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