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07 May 2025 | Story Precious Shamase | Photo Supplied
Dr Regret Sunge
Dr Regret Sunge – the newly rated NRF Y2 academic.

The University of the Free State (UFS) is proud to announce that Dr Regret Sunge, Lecturer in the Department of Economics and Finance within the Faculty of Economic and Management Sciences, has been awarded a prestigious Y2 rating by the National Research Foundation (NRF). This significant achievement highlights Dr Sunge's exceptional potential as a rising leader in the field of economics and finance.

The NRF Y2-rating is bestowed upon young researchers, typically under the age of 40 and within five years of obtaining their PhD, who have demonstrated considerable potential to establish themselves as leaders in their area of expertise. Dr Sunge's inclusion among the 3,8% of newly rated researchers in South Africa highlights the quality and impact of his work.

Dr Sunge expressed his excitement, stating, "I am thrilled to have received the NRF Y2-rating for the period 1 January 2025 to 31 December 2030. Receiving such recognition through this meticulous process in the field of Economics and Finance – which has a share of only 4,9% of total rated researchers – is even more amazing." He further emphasised the rigorous nature of the NRF rating process, and the insightful feedback received.

 

Factors contributing to this recognition

Dr Sunge attributes his success to a combination of personal dedication, collaborative efforts, and institutional support. His PhD thesis provided a strong foundation, with three of the five reviewed papers originating from this work. Subsequent research collaborations with international peers fostered during his PhD journey further enriched his research by integrating the critical fields of agricultural production and environmental sustainability. The growing number of citations his work has received speaks to its increasing relevance and impact.

The academic also acknowledged the significant influence of key individuals on his research journey, including his PhD supervisor, Prof Nicholas NgepahDr Delphin Kamanda Espoir – a research partner, and his postdoctoral host, Dr Calvin Mudzingiri.

Beyond academic research, Dr Sunge's engagement in research consultation with regional and international organisations has played a vital role. In 2022, he formed a team within the United Nations Young Economists Network (UN-YEN) to study Africa's macroeconomic growth. Additionally, he contributed as a research assistant to the Organisation of Economic Cooperation and Development (OECD) and the African Union Commission (AUC) for their annual Africa Development Dynamics (AfDD) publication.

Dr Sunge also highlighted the crucial institutional support he received from the University of the Free State, specifically the Faculty of Economic and Management Sciences (EMS) on the Qwaqwa Campus, where he was a postdoctoral research fellow at the time of application.

 

Impact of the NRF rating on research standing

The Y2 rating is already proving to be a catalyst for Dr Sunge's research endeavours. "It’s a motivator, I am more confident, and it has greatly enhanced my CV," he noted. He anticipates that this recognition will unlock opportunities for further collaborations and access to competitive research grants and funding programmes, both nationally and internationally.

Furthermore, Dr Sunge's achievement while based on the Qwaqwa Campus enhances the University of the Free State's reputation for supporting young researchers and fostering excellence across all its campuses. His rating serves as a significant source of inspiration for his colleagues on the Qwaqwa Campus, particularly within EMS, where NRF-rated researchers are still few. Dr Sunge hopes that his success will encourage colleagues in the faculty to pursue similar achievements through commitment, dedication, and collaboration.

 

Research focus and its importance

Dr Sunge's research primarily focuses on the intersection of agricultural production and environmental sustainability. His work addresses the critical challenge of ensuring food security amid the growing impact of climate change in a sustainable manner. Recognising the dual challenge of increasing agricultural output to combat food insecurity while mitigating climate change, his research aims to inform environmentally sustainable agrifood systems in South Africa and beyond.

Specifically, his research holds local relevance for Phuthaditjhaba, where livestock agriculture is a significant part of the local economy, with the potential to contribute to more sustainable livelihoods. Utilising a range of econometric methodologies, his research approach is adaptable to various fields of study, facilitating collaboration with researchers from diverse backgrounds.

Acknowledging the dynamic nature of research in economics, particularly in econometrics and data analysis, Dr Sunge emphasises the importance of continuous learning through conferences and workshops. He aims to further develop his econometric and critical thinking skills, as well as sharpen his writing abilities, to elevate his research to new heights.

 

Future research trajectory

Looking ahead, Dr Sunge envisions a research trajectory that combines academic rigour with impactful societal engagement. This involves identifying research problems, providing in-depth academic analysis, and developing solutions that directly benefit communities. His future includes initiating research-based interventions and conducting impact assessments. Achieving this vision necessitates securing research grants, supervising postgraduate students, and actively engaging in community initiatives.

 Over the next five years, Dr Sunge aims to transition from a Y2 to a C-rated researcher, a goal that requires careful planning to balance his research and teaching responsibilities. While committed to advancing his research, Dr Sunge remains passionate about teaching and ensuring that his research activities enhance, rather than detract from, his classroom engagement.

 Dr Sunge’s achievement of the NRF Y2-rating is a significant milestone, both for his personal career and for the University of the Free State. His dedication, collaborative spirit, and impactful research focus serve as an inspiration to colleagues and aspiring economists alike. As Dr Sunge eloquently stated, "My word to aspiring economists, especially from marginalised circumstances, is that with the right mindset, commitment and dedication, we can be counted."

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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