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23 November 2022 | Story André Damons

The Department of Pharmacology at the University of the Free State (UFS), together with the Technology Innovation Agency (TIA), is hosting the first Indigenous Knowledge and Bio-Trade Indaba on the Bloemfontein Campus. The Department of Science and Innovation (DSI) and TIA are the sponsors of the event. 

Prof Motlalepula Matsabisa, Professor and Director of Pharmacology, will play host to the various stakeholders to network and share knowledge on current developments in indigenous knowledge research and product development, biodiversity, innovation, and commercialisation of the IK-based research products. The Indigenous Knowledge System (IKS) for Health unit in the Department of Pharmacology within the UFS Faculty of Health Sciences was last year awarded an annual Technology Innovation Agency Platform (TIA) grant of R17 million for the next five years.

The research and teaching programme in the School of Clinical Medicine has since been rebranded and is now known as the African Medicines Innovation and Technology Development Platform (AMITD), which will strive to respond to community health needs and address industry research needs and challenges.

The indaba will showcase progress made by TIA and other entities in enriching the development and commercialisation of IK-based innovations. It will take place from 24 to 25 November 2022 in the Equitas Senate Hall at the UFS. 

Prof Matsabisa is the chairperson of the World Health Organisation’s (WHO) Regional Expert Advisory Committee on Traditional Medicines for COVID-19. He is also a visiting professor at the Beijing University of Chinese Medicine (BUCM) in Beijing, China, and the Deputy President of the South African Society for Basic and Clinical Pharmacology.
 

News Archive

Dr Abdon Atangana cements his research globally by solving fractional calculus problem
2014-12-03

 

Dr Abdon Atangana

To publish 29 papers in respected international journals – and all of that in one year – is no mean feat. Postdoctoral researcher Abdon Atangana at the Institute for Groundwater Studies at the University of the Free State (UFS) reached this mark by October 2014, shortly before his 29th birthday.

His latest paper, ‘Modelling the Advancement of the Impurities and the Melted Oxygen concentration within the Scope of Fractional Calculus’, has been accepted for publication by the International Journal of Non-Linear Mechanics.

In previously-published research he solved a problem in the field of fractional calculus by introducing a fractional derivative called ‘Beta-derivative’ and its anti-derivative called ‘Atangana-Beta integral’, thereby cementing his research in this field.

Dr Atangana, originally from Cameroon, received his PhD in Geohydrology at the UFS in 2013. His research interests include:
• the theory of fractional calculus;
• modelling real world problems with fractional order derivatives;
• applications of fractional calculus;
• analytical methods for partial differential equations;
• analytical methods for ordinary differential equations;
• numerical methods for partial and ordinary differential equations; and
• iterative methods and uncertainties modelling.

Dr Atangana says that, “Applied mathematics can be regarded as the bridge between theory and practice. The use of mathematical tools for solving real world problems is as old as creation itself. As written in the book Genesis ‘And God saw the light, that it was good; and divided the light from the darkness’, the word division appears here as the well-known method of separation of variables, this method is usually employed to solve a class of linear partial differential equations”.

“A mathematical model is a depiction of a system using mathematical concepts and language. The procedure of developing a mathematical model is termed mathematical modelling. Mathematical models are used not only in natural sciences, but also in social sciences such as economics, psychology, sociology and political sciences. These models help to explain systems and to study the effects of different components, and to make predictions about behaviours.”

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