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Dr

Michelle Blom

Research Fellow In Automated Planning
Computing And Information Systems
science & technology
technology
computer science
operations research & management science
engineering
engineering, multidisciplinary
short-term open-pit mine production scheduling
computer science, artificial intelligence
hybrid optimisation
Michelle Blom's Profile Picture
Dr

Michelle Blom

 
Division
Engineering
 
Primary Interest
AI Algorithms
Michelle Blom's Profile Picture
Dr

Michelle Blom

 

Dr Michelle Blom is a Research Fellow in the School of Computing and Information Systems at The University of Melbourne. Michelle completed her PhD in the Department of Computer Science and Software Engineering at the University of Melbourne in 2011.

Her thesis explored the use of argumentation-based approaches for automated decision-making and planning. Her research involves developing new algorithms and heuristics for planning and scheduling in a range of domains, including: the scheduling of production in large open-pit mining supply chains, across both short- and long-term horizons; and the transport of inventory across complex logistics networks subject to dynamic, and adversarial, disruption. An additional area of interest is the development of algorithms to support the analysis and auditing of election outcomes.

Projects

Displaying the 2 most recent projects by Michelle Blom.

Scholarly Works

Displaying the 19 most recent scholarly works by Michelle Blom.

Credentials

Positions


Research Fellow In Automated Planning

Computing And Information Systems

Lecturer

Computing And Information Systems

Education


Doctor of Philosophy

University of Melbourne

Bachelor of Science

University of Melbourne

Bachelor of Engineering (Software)

University of Melbourne