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18 May 2022 | Story Rulanzen Martin | Photo Supplied
Jon Kehrer
Jon Kehrer is a prolific academic and scholar. He also spent a few years teaching English in the Middle East.

It was a former professor who influenced American scholar Jon Kehrer to further his academic journey with the Department of Hebrew at the University of the Free State (UFS). And it was at the UFS where he recently graduated cum laude with a master’s degree in Hebrew, and was named recipient of the Dean’s Medal. 

Although he never expected to receive the Dean’s Medal, he is very glad – and somewhat relieved – that his dissertation made it through the examiners. “I never anticipated receiving this award. It makes me even more grateful for the strong Hebrew Department at UFS, and their rigorous standards for their students,” Kehrer says. 

“I wish I had been able to attend the graduation ceremony, but the circumstances of the semester just did not allow it.” Kehrer is currently teaching in the areas of the Old Testament and Biblical Languages at the Ozark Christian College (OCC) in Missouri, USA. In addition to his UFS qualifications Kehrer also holds a Bachelor of Theology qualification from the OCC. “I love the opportunity to invest in students and help them see new perspectives,” he says. 

UFS Hebrew a firm foundation for a solid academic career  

“I was looking for a high-quality and challenging programme that was flexible, especially since I work full-time and have a large family,” Kehrer says, as he recalls how he initially decided to become part of the UFS. He remembers fondly how Dr Kevin Chau, senior lecturer in Hebrew at the UFS, motivated and supported him when he first enrolled for the BA Honours programme. 

It is also a testament that the Department of Hebrew has made an impact internationally for the quality of its academic offerings. “Dr Chau helped me to think about how what I was learning would have an impact on my research and teaching in the future, and he was always quick to provide thorough and constructive feedback on my work,” Kehrer says.  

Once enrolled for the master’s programme it was initially difficult to know which direction to pursue and what topic to research, but the guidance and support of his two advisors, Prof Cynthia Miller-Naude and Prof Jacobus Naude, was “very helpful”.

“They never dictated what paths I should pursue, but they listened carefully and provided expert guidance to help me choose the path that would best suit my interests and the needs of the field,” he says. 

It was this support from the Department of Hebrew and its excellent reputation that came full circle when Kehrer was named Dean’s Medal recipient for achieving the highest marks of any student in a master’s qualification in the UFS Faculty of The Humanities. 

Dissertation a closer look at verbs in Biblical Hebrew 

His dissertation focused on Biblical Hebrew and how the object of a verb appears in various ways. “Sometimes an object appears by itself, but sometimes it can have a preposition or a two-consonant Biblical Hebrew particle along with it. Many Bible translations treat all these objects the same,” he says. “I wanted to try to understand why these variations occurred, so I looked at how different sentence elements might contribute to the variation. It was a fascinating study!” 
 
Kehrer believes it is important for university students to continue studying classical subjects like Hebrew. “I think we can all learn much from those who have gone before us, and so much wisdom and insight is connected to these ancient Biblical Hebrew texts, texts that would be inaccessible to us without translation,” he says. 

“I also think classical disciplines can help train students to think well and to read critically – essential skills for living in today’s ever-changing world.”  

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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