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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

Well-established root system important for sustainable production in semi-arid grasslands
2015-02-24

Plot layout where production and root studies were done
Photo: Supplied

The importance of a well-established root system for sustainable production in the semi-arid grasslands cannot be over-emphasised.

A study of Prof Hennie Snyman from the Department of Animal and Wildlife and Grassland Sciences at the University of the Free State is of the few studies in which soil-water instead of rainfall has been used to estimate above- and below-ground production of semi-arid grasslands. “In the past, plant ecological studies have concentrated largely on above-ground parts of the grassland ecosystem with less emphasis on root growth. This study is, therefore, one of the few done on root dynamics in drier areas,” said Prof Snyman.

The longevity of grass seeds in the soil seed bank is another aspect that is being investigated at present. This information could provide guidelines in grassland restoration.

“Understanding changes in the hydrological characteristics of grassland ecosystems with degradation is essential when making grassland management decisions in arid and semi-arid areas to ensure sustainable animal production. The impact of grassland degradation on productivity, root production, root/shoot ratios, and water-use efficiency has been quantified for the semi-arid grasslands over the last 35 years. Because of the great impact of sustainable management guidelines on land users, this study will be continuing for many years,” said Prof Snyman.

Water-use efficiency (WUE) is defined as the quantity of above- and/or below-ground plant produced over a given period of time per unit of water evapotranspired. Sampling is done from grassland artificially maintained in three different grassland conditions: good, moderate, and poor.

As much as 86, 89 and 94% of the roots for grasslands in good, moderate and poor conditions respectively occur at a depth of less than 300 mm. Root mass is strongly seasonal with the most active growth taking place during March and April. Root mass appears to be greater than above-ground production for these semi-arid areas, with an increase in roots in relation to above-ground production with grassland degradation. The mean monthly root/shoot ratios for grasslands in good, moderate, and poor conditions are 1.16, 1.11, and 1.37 respectively. Grassland degradation lowered above- and below-ground plant production significantly as well as water-use efficiency. The mean WUE (root production included) was 4.79, 3.54 and 2.47 kg ha -1 mm -1 for grasslands in good, moderate, and poor conditions respectively.

These water-use efficiency observations are among the few that also include root production in their calculations.

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