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Building Team of Experts using Integer Linear Programming (ILP)

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  • Wed, 01/09/2019 - 1:30pm - 3:30pm

Building Team of Experts using Integer Linear Programming(ILP)

MSc Thesis Proposal by:

Sagarika Khandelwal



Abstract: Recent studies have shown that cluster hiring can help produce productive and qualitative outcomes when experts with prior shared experience are collaborated to work on a project that involves tasks that require different skill sets. The goal is to produce top-k teams of experts that have the highest compatibility achieved through their previous collaboration and hold the desired skills necessary to complete the tasks required by a project. In this study, we solve the Team Formation Problem using a novel approach of Integer Linear Programming where we model and formulate the problem to minimize the communication cost between experts, subject to various constraints that help reduce the search space and focus on producing the optimal result. The constraints so supplied to the linear function solve three different problems. The first is to assign tasks to each worker, also known the task assignment problem. The second one as the coverage of all the skills required to perform that task. The third is to guarantee that the team so produced is the team with the highest collaboration value knows as the best team for carrying out the project. We then conduct substantial experiments using the above model on real-life synthetic data, and show the efficiency of our approach for producing top-k teams.

Thesis Committee:

Internal Reader: Dr. Asish Mukopadhyay

External Reader: Dr. Jonathan Wu

Advisor: Dr. Jessica Chen

Melissa Robinet
5192533000 ext.3773