Damjan Vukcevic

Damjan Vukcevic is an Associate Professor in the Econometrics & Business Statistics department at Monash University. His research focuses on statistical methods for auditing electoral systems, particularly in improving computational efficiency and integrity of voting processes such as Instant-Runoff Voting (IRV) and Single Transferable Vote (STV). He leads the ARC-funded project In for the count: Maximising trust and reliability in Australian elections (2022–2026), collaborating with experts in computer science and political science to enhance election validation techniques.

His work integrates advanced statistical modeling, including Dirichlet-Tree models and Bayesian methods, to address challenges in election auditing. Recent projects emphasize risk-limiting audits (RLAs) for multi-seat and ranked-choice systems, ensuring transparency and accuracy in electoral outcomes. Co-authored papers span topics like adaptive auditing algorithms, KIR gene imputation, and genomic studies, though his primary focus remains electoral integrity.

Collaborations include international conferences such as Financial Cryptography & Data Security and E-Vote-ID, where his team presents cutting-edge solutions for election security. Despite no listed awards, his prolific output (49+ publications since 2006) underscores his influence in computational statistics and electoral science.