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UFS appoints Prof Paul Oberholster as Dean: Faculty of Natural And Agricultural Sciences

10 October 2023 | Story Lacea Loader | Photo SUPPLIED

The University of the Free State (UFS) has appointed Prof Paul Oberholster as Dean: Faculty of Natural and Agricultural Sciences as of 1 January 2024.

Strong networks and winner of prestigious awards for research, innovation, and leadership

Prof Oberholster is currently the Director: Centre for Environmental Management at the UFS. He completed his undergraduate and postgraduate degrees at the UFS before obtaining a PhD in water resource management at the University of Pretoria.

After several years in secondary education, Prof Oberholster started his scientific research career as a Senior Scientist at the Council for Scientific and Industrial Research (CSIR) in 2007. In 2017, he became a Chief Scientist (the highest scientific position at the CSIR, and senior management) managing large multidisciplinary projects on the African continent related to integrated water resource management and natural-based treatment solutions/ecological engineering.

During his time at the CSIR, he acted as extraordinary professor and lecturer in several academic departments at different institutions, including Stellenbosch University, the University of Pretoria, and the University of the Western Cape. During the same time, he received several prestigious awards for research, innovation, and leadership.

In 2019, Prof Oberholster joined the UFS as Director of the Centre for Environmental Management and also received the National Science and Technology Foundation (NSTF) award in the category Water Research Commission, with a focus on natural-based passive phyco-remediation and phytoremediation treatment technology. In 2022, he was elected as a member of the Academy of Science of South Africa (ASSAf) in recognition of his academic achievements in South Africa, and in 2023 he was appointed as the Managing Director of the Ecological Engineering Institute of Africa (EEIA).

Rated among top 2% in the world in the scientific category of engineering/technology, ecological engineering and environmental engineering.

Currently, Prof Oberholster is rated among the top 2% in the world in the scientific category of engineering/technology, ecological engineering, and environmental engineering. “Prof Oberholster has an extensive and impressive international research standing and has established extensive networks and partnerships. He can lead and manage the faculty in support of the UFS Vision 130’s ultimate intent for the coming years to be a research-led, student-centred, and regionally engaged university,” says Prof Francis Petersen, UFS Vice-Chancellor and Principal.

“It is a privilege to be part of the leadership team in the Faculty of Natural and Agricultural Sciences – we will ensure that the faculty is known nationally and internationally as an excellent faculty serving our community. We aim to consolidate and build on the strengths of the university in order to extend its excellence in research and teaching and learning, which is imbedded in the UFS Vision 130,” says Prof Oberholster.

Prof Oberholster will succeed the current Dean, Prof Danie Vermeulen, who will be retiring at the end of December 2023.

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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