A/Prof Alysson COSTA

Associate Professor

School of Mathematics and Statistics

  • Room: 149
  • Building: Peter Hall Building
  • Campus: Parkville

Research Interests

  • Mixed Integar Programming theory and applications to industry and public decision-making

Research Groups

Publications, Grants and Awards

You can find all publications, grants and awards on their Find an Expert page.

Find an Expert

Current Postgraduate Supervision

Name Thesis title
Daniel BUSTOS "Models and algorithms for the drayage problem"
Pamela CANDIDA CORTEZ "Routing problems in Humanitarian Logistics"
Adalberto SATO MICHELS "Assembly line balancing problem with heterogeneous resources"
Lennart VAN HIRTUM

Past Postgraduate Supervision

Name Thesis title
Pedro BELIN CASTELLUCCI "Consolidation problems in freight transportation systems: mathematical models and algorithms"
Simon BOWLY "Stress testing mixed integer programming solvers through new test instance generation methods"
Cheng CHENG "Optimization of disaster waste management systems"
Ashwani KUMAR "Intelligent management of elective surgery patient flow."

Past Honours & MSc Students

Name Project title
John BROWN "Lot sizing and production scheduling in medium sized foundries operating multiple furnaces"
Gala CAMACHO FERRARI "An Optimisation Approach for Volunteer Assignment"
Xiang HUANG "Mixed Integer Programming models and algorithms for disaster waste collection management"
Nicholas LEONG "Column Generation Methods for Planning Sustainable Vegetable Crop Rotations"
Qingyang LI "Instance space analysis for the assembly line balancing problem"
Kelvin LIU "Using Instance Space Analysis to Study the Bin Packing Problem"
Matthew MACK "Investigation into the packing of helicopters in a humanitarian assistance mission"
Danielle PARAU "A review of Mixed Integer Programming models for planning deployment and dispatch activities in fire suppression"
Kenneth YOUNG "Logic-Based Benders Decomposition applied to the Setup Assembly Line Balancing and Scheduling Problem"
Wenrui YUAN "Learning algorithms for the assembly line balancing problem"