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SUMMARY:Operationalizing Experimental Design: Data Collection for Remote O
 cean Monitoring
DTSTART:20251106T103000
DTEND:20251106T121500
DTSTAMP:20260601T134200Z
UID:40c1482eaae43d79070443281aa3efa3cea9e00464196219ba369228
CATEGORIES:Conferences - Seminars
DESCRIPTION:Professor Jean Pauphilet\, London Business School\nAbstract: T
 o collect data on ocean plastic pollution and build more accurate predicti
 ve models\, we need to manually take high-resolution pictures of the sea s
 urface via floating or flying drones. Operating these vehicles\, like many
  data collection problems in agriculture or environmental science\, challe
 nges the traditional optimal experimental design (OED) formulation from st
 atistics by its scale as well as the presence of complex routing constrain
 ts. We develop a discrete optimization algorithm to solve large-scale inst
 ances of OED as well as account for routing constraints. On synthetic and 
 real-world data\, our algorithm outperforms existing solutions relying on 
 commercial branch-and-bound solvers. For our problem of ocean plastic dens
 ity prediction\, for example\, it finds solutions with up to 10% higher ob
 jective value and solves twice as many instances to optimality. In other w
 ords\, it can build ensemble models with the same accuracy as a random dat
 a collection strategy\, yet with a 30-50% lower cost. Our study highlights
  the benefit of integrating operational constraints like routing into the 
 design of data collection strategies to reduce data collection cost.\n \n
 \n\nBio sketch: Jean Pauphilet is an Assistant Professor of Management Sci
 ence and Operations at London Business School. His research focuses on lar
 ge-scale discrete optimization\, robust optimization\, and machine learni
 ng\, with applications to healthcare and sustainable operations. His work 
 has been published in the likes of Operations Research\, Management Scienc
 e\, and Mathematical Programming and recognized by many awards\, including
  the INFORMS Pierskalla\, George E. Nicholson\, and Computing Society best
  student paper awards. Jean received a Ph.D. in Operations Research from 
 MIT and a Diplôme d'ingénieur from Ecole Polytechnique (Paris).\n\n 
LOCATION:ODY 4 03 https://plan.epfl.ch/?room==ODY%204%2003 https://epfl.zo
 om.us/j/69692015363
STATUS:CONFIRMED
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