Assistant Professor at Banja Luka PMF designs evolutionary algorithm

Assistant Professor at the Faculty of Natural Sciences and Mathematics (PMF) at the University of Banja Luka, Marko Đukanović, along with colleagues from the Technical University of Vienna, has designed an “effective evolutionary algorithm that solves sequence problems applicable in bioinformatics for calculating structural similarity between sets of biological molecules.”

They published the paper titled “A Biased Random Key Genetic Algorithm for Solving the Longest Common Square Subsequence Problem” in the leading journal in the fields of computer science and artificial intelligence, “IEEE Xplore.”

Đukanović notes for Srna that the co-authors are Jaume Recha, Christian Blum, and Günther Raidl.

He explains that this is the result of continued good cooperation between Banja Luka’s PMF, the Technical University of Vienna, and the Institute for Artificial Intelligence at the Autonomous University of Vienna.

The work of this team was awarded the best paper at the “Evostar” conference at Aberystwyth University in Wales in April for the paper “Neural Network-Guided BRKGA: Application to the Longest Common Square Subsequence Problem.”

Additionally, Đukanović and his colleague Aleksandar Kartelj won third place last year at the international symbolic regression competition “Interpretable Symbolic Regression for Data Science.”

Last year, Đukanović received the award for the best scientific paper at the international conference on applied artificial intelligence held in Kragujevac for the paper “Integration of Top-Level Constraints into the Symbolic Regression Search Algorithm.”

He is also the recipient of the Danube Award for Young Scientists in 2022.

Marko Đukanović completed high school in Novi Grad in 2009 as the student of the generation and enrolled in the general mathematics and informatics program at Banja Luka PMF the same year, graduating in 2013 with an average grade of 9.87.

He received the “Golden Plaque” for the student of the generation at PMF, where he was elected as an assistant in 2014.

Đukanović completed his master’s studies in mathematics at PMF in 2016 with an average grade of 10.

He began his doctoral studies in computer science in 2017 at the Technical University of Vienna, at the Institute of Logic and Computation within the Faculty of Informatics, under the mentorship of Professor Günther Raidl, and successfully completed them in 2021 with the highest honors.

He was elected to the position of assistant professor at the Department of Mathematics and Informatics at Banja Luka PMF in 2021.

Source: Glas Srpske