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Pursuing a postgraduate research degree demands commitment and enthusiasm for your chosen field, but the effort pays off. Doctoral studies present significant challenges while offering profound personal and professional fulfillment. Students undertake specialized research projects under the guidance of a principal supervisor and additional co-supervisors.
Theoretical Computer Science serves as the bedrock of computing. Its core objective involves establishing rigorous mathematical frameworks to design advanced algorithms for practical applications. This encompasses mathematical modeling of algorithmic methods, assessing computational problem complexity, and exploring efficiency boundaries through computational complexity analysis. Professor Kristina Vukovi leads the Algorithms and Complexity research group. Their investigations span graph theory, logical systems, combinatorial optimization, scheduling methodologies, graph algorithms, data structure analysis, discrete structure problem complexity, randomized methods, probabilistic algorithm evaluation, and approximation techniques.