Sign In

Michelle Blom

Michelle Blom is a reputable figure in the field of research at the University of Melbourne, specifically focusing on Agile Mine Planning and Logistics within the Melbourne School of Engineering.

With a Doctor of Philosophy (Ph.D.) from the University of Melbourne in the School of Computing and Information Systems, Michelle's research primarily revolves around developing innovative algorithms and heuristics for planning and scheduling across various sectors.

Her extensive expertise includes scheduling production in large open-pit mining supply chains, managing transport logistics networks amidst dynamic disruptions, and utilizing agent-based concepts for efficient scheduling in mining processes.

During her tenure as a consultant for the Ore Body Knowledge and Technologies group within Rio Tinto Iron Ore (RTIO), Michelle delved into optimizing mine and port networks through collaborative adaptation and managing uncertainties to achieve production targets.

Michelle Blom's collaboration with colleagues encompasses creating advanced algorithms for computing precise margins of victory in Instant Runoff Vote (IRV) and Single Transferable Vote (STV) elections, surpassing existing state-of-the-art methods.

Michelle's academic background includes a Bachelor of Science (B.Sc.) and a Bachelor of Engineering (B.Eng.) from the University of Melbourne, solidifying her strong foundation and passion for research and innovation.

Currently serving as a Research Fellow at the University of Melbourne, Michelle Blom continues to make significant contributions to the fields of Agile Mine Planning, Logistics, and Algorithm Development.

Michelle Blom
Add to my network

Location

Greater Melbourne Area