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26 February 2025 | Story Martinette Brits | Photo Supplied
Prof Maxim Finkelstein, A1-rated researcher from the University of the Free State, has been selected as the 2024 - 2026 Ewha Global Fellow by Ewha Womans University.

An esteemed researcher from the University of the Free State (UFS), Prof Maxim Finkelstein, has been named a 2024 - 2026 Ewha Global Fellow (EGF) by Ewha Womans University in South Korea.

Prof Finkelstein, an A1-rated researcher from the Department of Mathematical Statistics and Actuarial Science, received this honour in recognition of his outstanding collaboration with Prof Ji Hwan Cha from Ewha’s Department of Statistics. Prof Cha nominated him as a leading expert in his field, highlighting their long-standing partnership and significant contributions to mathematical sciences.

According to Hyang-Sook Lee, President of the Ewha Womans University, the EGF programme “encourages distinguished scholars from all over the world to actively collaborate in research and education with Ewha faculty members.”

 

The genesis of a unique collaboration

Prof Finkelstein has collaborated extensively with researchers across Europe and the United States but his partnership with Prof Cha is particularly notable. “I started working at the UFS as a Professor in 1998 when he had just obtained his PhD,” recalls Prof Finkelstein.

At the time, Prof Finkelstein was already an established researcher, while Prof Cha was in the early stages. “His letter to me about one of my articles was sent to me by regular mail to my previous working address in Saint Petersburg, Russia, and did not reach me. We eventually connected around 2006, and our collaboration gradually took shape,” he explains.

Over the years, their partnership evolved into a balanced and mutually enriching research relationship. Their joint efforts have resulted in over 120 published papers and two books, setting new standards in the Mathematical Theory of Reliability and its applications. This collaboration has significantly influenced both their careers and contributed to Prof Finkelstein’s recognition with South Africa’s highest research accolades, including an NRF A1 rating in "Mathematical Sciences" in 2021, following his A2 rating in 2015.

 

A breakthrough in stochastic modelling

One of the major achievements of Prof Finkelstein's collaboration with Ewha has been their pioneering work in stochastic modelling. Their research led to the development of the Generalised Polya Process, a novel model for understanding natural and industrial point events - such as failures in electricity generation, lightning strikes, and hurricanes. By incorporating the ‘history’ of previous events, this model offers a more precise stochastic description of real-world phenomena.

The results of their research have been widely published and have paved the way for further exploration into more complex stochastic processes. Some of their key findings were summarised in the 2018 Springer book Point Processes for Reliability Analysis.

 

Looking ahead: Future collaboration and continued innovation

Despite being in the later years of his career, Prof Finkelstein remains deeply engaged in research and committed to his partnership with Ewha. Due to the challenges posed by the COVID-19 pandemic, his visits to Ewha were limited, but plans are now in place for future visits. During these visits, he will deliver lectures to students and collaborate with faculty members.

For Prof Finkelstein, continuing his nearly two-decade-long collaboration with Prof Cha remains a vital and exciting part of his academic journey. 

News Archive

Plant eco-physiologist finds effective solutions for crop optimisation
2016-07-24

Description: Orange trees Tags: Orange trees

The bio-stimulant was tested on
this citrus. This is the first time
that the product has been tested
on a crop.

In a time characterised by society facing increasing population growth, food crises, and extreme climatic conditions such as drought, it is essential for farmers to integrate science with their work practices in order to optimise crops.

Role of photosynthesis and plant sap data

By knowing how to use photosynthesis and plant sap data for determining plant health, fast and effective solutions could be established for the optimisation of crops. This technique, which could help farmers utilise every bit of usable land effectively, is the focus of Marguerite Westcott’s PhD study. She is a junior lecturer and plant eco-physiologist in die Department of Plant Sciences at the University of the Free State.

Westcott uses this technique in her studies to prove that a newly-developed bio-stimulant stimulates plants in order to metabolise water and other nutrients better, yielding increased crops as a result.

Agricultural and mining sectors benefit from research

The greatest part of these projects focuses on the agricultural sector. Westcott and a colleague, Dr Gert Marais, are researching the physiology of pecan and citrus trees in order to optimise the growth of these crops, thus minimising disease through biological methods. Field trials are being conducted in actively-producing orchards in the Hartswater and Patensie areas in conjunction with the South African Pecan Nut Producers Association (SAPPA) amongst others.
 
The principles that Westcott applies in her research are also used in combination with the bio-stimulant in other studies on disturbed soil, such as mine-dump material, for establishing plants in areas where they would not grow normally. This is an economical way for both the agricultural and mining sectors to improve nutrient absorption, stimulate growth, and contribute to the sustainable utilisation of the soil.

Description: Pecan nut orchards  Tags: Pecan nut orchards

The bio-stimulant contributes to the immunity of the plants.
It was tested in these pecan nut orchards (Hartswater).

Soil rehabilitation key aspect in research projects

“One of two things is happening in my research projects. Either the soil is rehabilitated to bring about the optimal growth of a plant, or the plants are used to rehabilitate the soil,” says Westcott.

Data surveys for her PhD studies began in 2015. “This will be a long-term project in which seasonal data will be collected continuously. The first set of complete field data, together with pot trial data, will be completed after the current crop harvest,” says Westcott.

 

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