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26 November 2021 | Story Lacea Loader | Photo Sonia Small (Kaleidoscope Studios)
Prof Philippe Burger
Prof Philippe Burger.

The Council of the University of the Free State (UFS) approved the appointment of Prof Philippe Burger as Dean of the Faculty of Economic and Management Sciences for a five-year term during its quarterly virtual meeting on 26 November 2021. 

He is Pro-Vice-Chancellor: Poverty, Inequality and Economic Development, as well as Vice-Dean (Strategic Projects) of the Faculty of Economic and Management Sciences, and Professor of Economics at the UFS. 

Extensive experience

Prof Burger was a 2016/17 Fulbright exchange scholar at the Center for Sustainable Development, Earth Institute, Columbia University in the United States, with Prof Jeffrey Sachs as his Fulbright host, where he wrote a book titled Getting it right: a new economy for South Africa. The book was launched, with presentations at the International Monetary Fund (IMF), World Bank, and RAND Corporation in Washington DC, among others. In addition, he is a member of the Fiscal Policy and Financial Markets Task Team of the Lancet Commission on COVID-19. Co-chaired by the Head of the IMF’s Department of Fiscal Affairs and a former Minister of Finance of Chile, the task team of 11 members comprises economists from across the world, including two Nobel prize winners. 

From September 2012 to October 2014, Prof Burger was President of the Economic Society of South Africa. His publications include three more books and numerous academic articles on fiscal rules and fiscal sustainability, public-private partnerships, and macroeconomic and economic development policy. Together with IMF staff, he co-authored two IMF working papers. In 2009, the IMF invited him to spend a month at the IMF as a visiting scholar in the Fiscal Affairs Department (FAD), researching public-private partnerships and the Global Financial Crisis. For two months each in 2007, 2010, and 2012, he was seconded to the Organisation for Economic Co-operation and Development (OECD) in Paris, France, to work on public-private partnerships and capital budgeting, while in October 2011 he joined an OECD mission to Indonesia to conduct a regulatory review of Indonesia. 

Prof Burger was a member of the Panel of Experts of the South African National Treasury, in which capacity he co-authored a 20-year review of South African fiscal policy since 1994. From 2013 to 2018, he was a member of the South African Statistics Council, which oversees the work of Statistics South Africa. From 1 February 2018 to 31 January 2019, he acted as dean of the Faculty of Economic and Management Sciences at the UFS, and from 2002 to 2019 he was Head of the UFS Department of Economics. 

“With more than 27 years of experience in the higher-education sector, Prof Burger will bring a wealth of expertise, extensive networks, and partnerships, nationally and abroad, to the Faculty of Economic and Management Sciences and the UFS. His experience in the positions held at the university, as well as his extensive knowledge and understanding of the South African and global economy, places him in good standing to lead the faculty to be a formidable and impactful academic force nationally and abroad,” said Prof Francis Petersen, UFS Rector and Vice-Chancellor. 

“Prof Burger has the competencies required as dean of the Faculty of Economic and Management Sciences, leading it to exploit opportunities and deal with the challenges that the rapidly changing world presents to the UFS,” said Prof Petersen.  

Vision for the faculty

In response to his appointment, Prof Burger said, “I am humbled by this appointment and look forward to taking on this wonderful challenge. The faculty has a strong team of academics and administrative staff. With this team, I know we will create wonderful pathways for our students into the future and into the complex world of work. I also look forward to strengthening our research position and building the faculty as a nationally and internationally recognised research-strong faculty, as well as a faculty with a very strong Global South presence.”

Prof Burger succeeds the current Dean, Prof Hendri Kroukamp, who will be retiring at the end of February 2022.  

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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