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Conference Program

Thursday, July 13, 9:00am - 5:30pm

8:30-9:00am Breakfast & Coffee
9:00-9:15am Opening Remarks
Spatiotemporal Prediction Tutorials
9:15-10:15am Tutorial: Novel Tensor Solutions for Fast Spatiotemporal Data Analysis (Yan Liu, USC)
10:15-10:45am Break
10:45-11:45pm Tutorial: Deep Learning for Spatial Predictions with Applications in Poverty and Agriculture (Stefano Ermon, Stanford)
11:45-12:15pm
Lightning Talks Session 1

  • A Deep Learning Approach for Population Estimation from Satellite Imagery
    Caleb Robinson (Georgia Institute of Technology)
  • Machine Learning for Wildlife Conservation with UAVs
    Elizabeth Bondi (University of Southern California)
  • Analysis of Plant-Pollinator Interaction Networks Using Recommendation Techniques
    Eugene Seo (Oregon State University)
  • Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery
    Junwen Bai (Cornell University)
  • Accurate and Efficient Numerical Calculation of the Voigt Profile via Optimized Quadrature and Asymptotics
    Sebastian Ament (Cornell University)
  • Effective Feature Learning based on Deep Networks for Urban Heat Island Prediction
    Sungyong Seo (University of Southern California)
  • A Probabilistic Approach for Learning with LabelProportions Applied to the US Presidential Election
    Tao Sun (UMass Amherst)
  • Learning in Discrete Optimization
    Elias Khalil (Georgia Tech)
12:15-1:00pm Poster Session
1:00-2:00pm Boxed Lunch with Mentor
Multi-agent Decision Making Tutorials (Thurs afternoon + Friday Morning)
2:00-3:15pm Tutorial: Game Theory for Protecting Natural Resources (Fei Fang, CMU)
3:15-3:45pm
Lightning Talks Session 2

  • Optimizing CitiBike
    Aaron Ferber (Georgia Institute of Technology)
  • Exploration of Objective Functions for Optimal Placement of Weather Stations
    Amelia Snyder (Oregon State University)
  • Optimal Wildlife Reserve Design using Spatial Capture-Recapture Models
    Amrita Gupta (Georgia Institute of Technology)
  • Grid-based land-use composition and configuration optimization for watershed stormwater management
    Ge Zhang (Georgia Tech)
  • Exact Inference for Integer Latent-Variable Models
    Kevin Winner (UMass Amherst)
  • Optimal recovery planning for endangered species under regime uncertainty
    Ryan Finseth (Cornell University)
  • A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction
    Shahrzad Gholami (University of Southern California)
3:45-4:30pm Poster Session & Coffee Break
4:30-5:30pm

Panel: Wildlife Conservation Challenges

Panelists:

Moderator: Bistra Dilkina, Georgia Tech
Evening Events
6:00 Reception Dinner on USC Campus: University Club - Scriptorium Room

Friday, July 14, 9:00am - 5:30pm

8:30-9:00am Breakfast & Coffee
Talks
9:00-9:45am Talk: AI and Society (Milind Tambe and Eric Rice, USC)
9:45-10:30am Talk: How to advance CS by doing research in Computational Sustainability (Carla Gomes, Cornell)
10:30-10:45am Coffee Break
Multi-agent Decision Making Tutorials (Thurs afternoon + Friday Morning)
10:45-11:45am Tutorial: Multi-agent Sequential Decision Making for Improving Efficiency in Urban Environments (Pradeep Varakantham, Singapore Management University)
11:45-12:15pm
Lightning Talks Session 3

  • Violence Minimization in Homeless Youth
    Robin Petering & Ajitesh Srivastava (University of Southern California)
  • Network Analysis of Global Embodied Fossil Fuel Energy Flows
    Anthony Harding (Georgia Institute of Technology)
  • Dynamic influence maximization under network uncertainties
    Bryan Wilder (University of Southern California)
  • illiad: InteLLigent Invariant and Anomaly Detection in Cyber Physical Systems
    Nikhil Muralidhar (Virginia Tech)
  • Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta
    Wenwen Zhang (Georgia Tech / Virginia Tech)
  • Maximizing the Spread of Cascade with Correlated Stochastic Events: Model and Algorithms
    Yexiang Xue (Cornell University)
  • Social Network-Based Substance Abuse Interventions for Homeless Youth
    Aida Rahmattalabi (University of Southern California)
12:15-1:00pm Poster Session
1:00-1:45pm Boxed Lunch with Mentor
Optimization Techniques Tutorials
1:45-2:30pm Tutorial: Discrete Optimization Techniques & Applications in Sustainability (Bistra Dilkina, Georgia Tech)
2:30-3:15pm Tutorial: Robust Optimization & Sequential Decision-Making (Phebe Vayanos, USC)
3:15-3:30pm Coffee Break
3:30-5:00pm Hands-on Activity (Thomas G. Dietterich, Oregon State University)
5:00-5:30pm Presentation by Teams & Final Remarks
Organization
Chairs
Organizing Committee
Local Arrangements
Sponsors

Thanks to CompSustNet, the USC Center for Artificial Intelligence in Society (CAIS) the Cornell Institute for Computational Sustainability (ICS), and the National Science Foundation for sponsoring CompSust-2017.