Strategic Planning for Setting up Base Stations in Emergency Medical Systems
Speaker (s):
GHOSH Supriyo
PhD Candidate
School of Information Systems
Singapore Management University
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Date:
Time:
Venue:
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June 8, 2016, Wednesday
2:00pm - 2:30pm
Meeting Room 4.4, Level 4
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
We look forward to seeing you at this research seminar.
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About the Talk
Emergency Medical Systems (EMSs) are an important component of public health-care services. Improving infrastructure for EMS and specifically the construction of base stations at the ”right” locations to reduce response times is the main focus of this paper. This is a computationally challenging task because of the: (a) exponentially large action space arising from having to consider combinations of potential base locations, which themselves can be significant; and (b) direct impact on the performance of the ambulance allocation problem, where we decide allocation of ambulances to bases. We present an incremental greedy approach to discover the placement of bases that maximises the service level of EMS. Using the properties of submodular optimisation we show that our greedy algorithm provides quality guaranteed solutions for one of the objectives employed in real EMSs. Furthermore, we validate our derived policy by employing a real-life event driven simulator that incorporates the real dynamics of EMS. Finally, we show the utility of our approaches on a real-world dataset from a large asian city and demonstrate significant improvement over the best known approaches from literature.
This a pre-conference talk for 26th International Conference on Automated Planning and Scheduling (ICAPS) 2016.
About the Speaker
GHOSH Supriyo is a PhD. student at School of Information Systems, Singapore Management University and working under the supervision of Assistant Professor Pradeep Varakantham. He received his B.Tech. in Computer Science & Engineering from West Bengal University of Technology, India and M.Tech in Information Technology from National Institute of Technology, Durgapur, India. He works in the area of Intelligent Systems & Decision Analytics (ISDA). His key research interest lies in Automated Planning and Reasoning, Reasoning under Uncertainty, Decision support system for Urban Transportation, Large Scale Optimization, Multi-agent Systems (MAS), Probabilistic Graphical Model and Machine Learning
