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18 February 2021 | Story ANDRE DAMONS | Photo Supplied
Prof Maxim Finkelstein, distinguished Professor at the Department of Mathematical Statistics and Actuarial Science at the UFS has become the only researcher with an A1-rating in South Africa (awarded by NRF) in Probability, Statistics and Operations Research.

A professor in the Faculty of Natural and Agricultural Sciences at the University of the Free State (UFS) has become the only researcher with an A1-rating in Probability, Statistics and Operations Research in South Africa after being awarded this prestigious rating by the National Research Foundation (NRF).

This is the second time Prof Maxim Finkelstein, the distinguished Professor at the Department of Mathematical Statistics and Actuarial Science in the Faculty of Natural and Agricultural Sciences, has been awarded with an A-rating. The first was in 2015.

The goal is to produce quality research

According to Prof Finkelstein, the rating should not be a goal as such for a researcher but should produce a quality research that is recognised by peers and that, above all, brings a real satisfaction in life. Prof Finkelstein says: “The rating is just a consequence of what one, as a researcher, has achieved in the past eight years and, actually, during the whole professional life as well. South Africa is the only country in the world that is able to perform this rigorous internationally sound rating process for individual researchers. ‘Scientifically large’ countries just cannot do it, technically.”

Prof Finkelstein’s area of expertise is the modelling of random events and quantifying probabilities of their occurrences. He explains: “For instance, in industry, people are interested in probabilities that a machine or process or mission will accomplish its task without failure or accident. In order to assess the probabilities of interest, one must have an adequate mathematical/stochastic model that should be properly developed. 

“Thus, I am developing such models that can be rather advanced because they should take into account numerous factors, e.g., that the object is operating in a random environment, that its structure could change, that there can be human errors affecting the outcome, that an object interacts with other objects, etc. This is usually done in the framework of mathematical reliability theory that considers operation of technical devices.” 

The only A-rating at NAS

“I am quite excited to get the A-rating for the second time, especially because it is the only A-rating in Probability, Statistics and Operations Research in South Africa. It is also the only A-rating at our Faculty of Natural and Agricultural Sciences.

“The fact that it is an A1 and not A2, as previously, does not, in fact, mean too much to me. What matters really is that it is the A-category defined by the reviewers’ opinions that the applicant is a world leader in his discipline,” says Prof Finkelstein.

During his numerous visits as a research professor to the Max Planck Institute of Demographic Research in Germany, he jointly with the colleagues from this institute, were applying the developed stochastic approaches to modelling lifespans of organisms as well. 

One of Prof Finkelstein’s evolving interests is in the area of healthcare engineering when, for instance, monitoring the key health parameters of a patient, some optimal cost-wise decisions can be made on preventive treatments and interventions. 

“I want also to stress that, in general, international collaboration is very important for emerging and established researchers, especially in ‘remote’ South Africa, although nowadays the term ‘remote’ is obviously outdated,” says Prof Finkelstein.

He also collaborates with numerous colleagues around the globe. Apart from the visiting position in the Max Planck Institute he held for many years, Prof Finkelstein regularly visits the ITMO University in St Petersburg, Russia, and is also now establishing a Visiting Professor position at the University of Strathclyde in Glasgow, Scotland.

News Archive

UFS researcher engineers metal surfaces
2015-03-03

Shaun Cronjé, a PhD student, in a surface characterisation laboratory at the UFS.

It is well known that the surface of a component is much more vulnerable to damage than the interior, and that surface-originated degradation such as wear, corrosion, and fracture will eventually destroy the component.

“Engineering the surface, based on scientific knowledge, is essential to control these damaging processes. It also creates electronic and geometric structures on the surface which opens up a world of new devices, especially considering the properties on the nano-length scale,” said Prof Wiets Roos from the Department of Physics at the University of the Free State (UFS).

At elevated temperatures, atoms are more mobile and can migrate to grain boundaries and surfaces, which have a major influence on material properties. The redistribution of solute atoms between the surface and the bulk of the material is known as segregation. Knowing the behaviour of segregation at the surface/environment interface can be very useful in the development of new materials. As an example materials can be improved higher efficiency and lower fuel consumption, thus reducing environmental pollution.

The main aims of Prof Roos’s research are to understand surface segregation, use it as a tool, and contribute to the various surface engineering fields.

The surface characterisation laboratories at the UFS are well equipped to do high temperature segregation measurements, and have already proven a success, not only in the ability to prepare the specimens for characterisation, but also in developing models and procedures to quantify the segregation parameters.

The most recent results have demonstrated the importance of taking evaporation into account during quantification.” This has laid the foundation for future studies by installing the necessary hardware in a surface characterisation spectrometer, establishing experimental protocols, and improving an existing model (developed in this laboratory) for simulating segregation profiles,” said Prof Roos.

Segregation parameters allow the researcher to predict and utilise the surface concentration behaviour as a function of temperature and time. “This not only contributes to fields involving corrosion, oxidation, sintering, wear, chemical poisoning, powder metallurgy, and lubrication but adds to the development of self-healing devices,” said Prof Roos.

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