Sander J.J. Leemans

Sander J.J. Leemans is an Associate Professor at Queensland University of Technology's Faculty of Science, School of Information Systems, specializing in process mining and business process management. With over 50 publications spanning from 2013 to 2023, his work has significantly contributed to advancing process mining methodologies and applications across various domains.

Leemans' research interests focus on process discovery, conformance checking, stochastic process modeling, data quality in process mining, and the integration of process mining with exogenous data sources. His work bridges theoretical foundations with practical applications, addressing both technical challenges in process mining algorithms and organizational considerations for successful implementation in business settings.

His publication record reveals a clear progression from foundational process mining techniques to more sophisticated approaches incorporating stochastic modeling, data quality considerations, and contextual factors. The research demonstrates increasing focus on practical implementation challenges, organizational adoption barriers, and the integration of process mining with broader business analytics initiatives. Leemans has made significant contributions to conformance checking methodologies, particularly through entropy-based and stochastic approaches.

Leemans has supervised several researchers including Shiva Shabaninejad, Kanika Goel, Adam Burke, and Rehan Syed, indicating an active role in mentoring the next generation of process mining researchers. His collaborative work spans multiple institutions and demonstrates strong connections with leading researchers in the field such as Wil van der Aalst and Moe Wynn.

His research group at Queensland University of Technology appears to focus on advancing process mining techniques while addressing practical implementation challenges in organizational settings. The work spans both theoretical algorithm development and practical applications across various industries and domains, including higher education as evidenced by his research on PhD student journeys.