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Prof Maxim Finkelstein selected as Ewha Global Fellow

26 February 2025 | Story Martinette Brits | Photo Supplied

Prof Finkelstein_web read more edit — 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

Death may come in adorable little packages

2015-03-23

The main host of the Lassa virus is the Natal Mulimammate mouse.

Photo: Supplied

Postdoctoral researcher, Abdon Atangana, of the Institute for Groundwater Studies at the university recently published an article online about the Lassa Haemorrhagic fever in the Natural Computing Applications Forum. In addition to the terminal transmissible sickness recognised as Ebola haemorrhagic fever, there is another strain called Lassa haemorrhagic fever.

The disease is classified under the arenaviridae virus family. The first outbreaks of the disease were observed in Nigeria, Liberia, Sierra Leone, and the Central African Republic. However, it was first described in 1969 in the town of Lassa, in Borno State, Nigeria.

The main host of the Lassa virus is the Natal Mulimammate mouse, an animal indigenous to most of Sub-Saharan Africa. The contamination in humans characteristically takes place through exposure to animal excrement through the respiratory or gastrointestinal tracts.

Mouthfuls of air containing tiny particle of infective material are understood to be the most noteworthy way of exposure. It is also possible to acquire the infection through broken skin or mucous membranes that are directly exposed to the infective material.

“The aim of my research was to propose a novel mathematical equation used to describe the spread of the illness amongst pregnant women in West Africa. To achieve this, I used my newly-proposed derivative with fractional order called beta-derivative. Since none of the commonly used integral transform could be used to derive the solution of the proposed model, I proposed a new integral transform called Atangana-Transform, and used it, together with some iterative technique, to derive the solution of the model.

“My numerical simulations show that the disease is as deadly amongst pregnant women as Ebola,” Abdon said.

Abdon’s research was submitted to one of Springer’s top-tier journals with an impact factor 1.78. The paper was accepted and published February 2015.