Program for stream Data Science Meets Optimization

HE-31: Decision Support Tools for Astronomical Observatory Management
Stream: Data Science Meets Optimization
Room: FENH304 (building FEN-UChile)
Chair(s): Rodrigo A. Carrasco

• Connecting predictive and prescriptive analytics in industrial-scale-telescope systems for maintenance
  Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo Ruz
• A decision support tool for programming the cycle of astronomical observation at the ALMA observatory
  Camila Marcuello, Rodrigo A. Carrasco
• Improving Exoplanet Observations through Mathematical Optimization
  Constanza Lorca, Rodrigo A. Carrasco
• Scheduling astronomical data processing combining predictive and prescriptive analytics
  Alfredo Manuel De Rodt Sanchez, Rodrigo A. Carrasco, Luis Aburto

FA-06: Inductive Optimization and Methods to Incoporate Data Properties
Stream: Data Science Meets Optimization
Room: CE-207 (building Centro de Extensión)
Chair(s): Dimitri Papadimitriou, Claudio Sole

• Two-Dimensional Rearrangement of Atoms with Defect-Free Formation
  CHULIN LIKASIRI, Radom Pongvuthithum
• Control Charts for Statistical Process Control - A Literature Overview
  Anika Johlke
• On the estimation of the Generalized Stochastic Preference choice model to capture irrational customer behaviors
  Claudio Sole, Sanjay Dominik Jena, Andrea Lodi

FB-06: Machine Learning,Data Analysis and Combinatorial Optimization
Stream: Data Science Meets Optimization
Room: CE-207 (building Centro de Extensión)
Chair(s): Jorik Jooken

• Instance space analysis for the 0-1 knapsack problem using rich and expensive features
  Jorik Jooken, Pieter Leyman, Patrick De Causmaecker
• A Graphical Approach to Text Summarization based on Text Mining and Mathematical Programming Methods
  Li-Ching Ma
• A Machine Learning augmented Simheuristic for Stochastic VRP with Surrogate Modelling
  Hassana Abdullahi, Ramazan Esmeli, Angel A. Juan, Djamila Ouelhadj
• Scheduling Limited Initiation Cues (SLIC): A Novel Combinatorial Scheduling Formulation for Adaptive Machine Learning and Cybersecurity Applications
  Nouri (Nourhan) Sakr, Ojas Parekh, Cynthia Phillips, Clifford Stein