Accepting PhD Students

PhD projects

Research projects available in combinatorial optimization and operations research, focusing on transport and logistics. Applicants must have a background in mixed integer linear programming, AI search or related areas.

20152025

Research activity per year

Personal profile

Biography

Combinatorial optimization: I specialize in high-performance solvers based on branch-and-cut-and-price, an advanced technique of mixed integer linear programming that includes Dantzig-Wolfe reformulation, column generation, cutting planes, polyhedral analysis and Benders decomposition.

Routing, scheduling and path planning: I develop hybrid algorithms that exploit the strengths of integer programming at routing, constraint programming at scheduling and heuristic search at path finding to solve joint problems faster than any technology alone. This work is applied to automated decision-making problems in the transportation, logistics and warehousing sectors.

See ed-lam.com for more details.

Education/Academic qualification

Computer Science, PhD, University of Melbourne

Award Date: 1 Apr 2019

Mathematics and Statistics, BSc(Hons), University of Melbourne

Award Date: 1 Dec 2010

External positions

Affiliate, CSIRO - Data61 (Victoria)

2017 → …

Collaborations and top research areas from the last five years

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