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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

From music to theology: Stats Unit valuable in research process
2017-02-23

Description: Prof Robert Schall Tags: Prof Robert Schall

Prof Schall, head of the UFS Statistical Consultation Unit
Photo: Leonie Bolleurs

Whether it is analysing data on church attendance, climate change in the Northern Cape or injuries among elite female hockey players, the Statistical Consultation Unit at the University of the Free State (UFS) can assist researchers from the planning of research to publication therof.

Many students and researchers think that the time to consult a statistician is after their research data has been collected. According to Prof Robert Schall, head of the unit, the most significant contribution a statistician can make to a research project is often during its planning. Preferably all researchers should consult the unit early in the research process.

Statistical consultation service free for postgraduates

The consultation unit, established in 2014 in the Department of Mathematical Statistics and Actuarial Science, provides support to all UFS researchers. This service is rendered to postgraduate students at no charge.

“The unit can make a contribution throughout the research process, from the planning of the research project, through the analysis of research data, up to the publication of the findings. I have been involved in projects where, for example, a few very simple changes to the design of a questionnaire would have saved the researcher and the statistician a lot of trouble. It will be beneficial for researchers to have their questionnaires and study proposals (where relevant), reviewed by a statistician,” Prof Schall said.

“The unit can make a contribution
throughout the research process,
from the planning of the research
project, through the analysis of
research data, up to the publication
of the findings.”

Fascinating research topics deliver fascinating data
The professor assisted in a study for the Department of Soil, Crop and Climate Sciences to determine whether rainfall in the Northern Cape had changed over the past 90 years, potentially indicating climate change.

Other interesting projects he has worked on came from the Department of Exercise and Sport Sciences. “Who will not be fascinated by data sets on aspects of rugby, cricket or even netball? One significant finding was a predictor of injury in elite female hockey players. The PhD student identified a pre-season test which predicted the occurrence of an in-season injury with 100% specificity and 100% sensitivity. The finding was quite surprising, and, if the results can be replicated, obviously would be useful in the prevention of injuries,” he said.

This is, of course, not an exhaustive list of projects the unit has worked on. “Not in my wildest dreams would I have expected to be involved in projects coming from the Faculty of Theology, or from the Odeion School of Music,” Prof Schall said.

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