Topics include (but not limited to):

 1 - Continuous Optimization and Applications

  • Nonlinear programming
  • Global Optimization
  • DC programming
  • Nonsmooth Optimization
  • Sparse Optimization
  • Polynomial Optimization
  • Semidefinite Programming
  • Semi-infinite Programming
  • Variational Inequalities and Complementarity. Mathematical Programs with Equilibrium Constraints
  • Optimal Control, PDE Constrained Optimization, and Multi-level Methods

2 - Discrete Optimization, Integer Programmingand Applications

  • Integer Programming Theory  
  • Integer Programming Algorithms  
  • MINLP: Mixed Integer Non-linear Programming
  • Constraint Programming

3 -  Optimization under Uncertainty and Applications

  • Stochastic Optimization
  • Robust Optimization
  • Dynamic Programming, Markov Decision Processes, and Simulation
  • Game theory

4 - Multiobjective Optimization, Multilevel Programming

5 - Optimization in Specific areas: Models, Algorithms, and Software

  • Data science: Machine Learning, Big Data, Cloud Computing, and Huge-Scale Optimization
  • Network: Network Flow, Network Design, and Applications in Telecom and Traffic Management
  • Logistics: Packing, Logistics, Location, and Routing
  • Scheduling: Scheduling, Planning and Applications in Manufacturing Systems and Healthcare
  • Energy: Optimization for Environmental, Energy and Engineering Systems
  • Computational Biology
  • Societal Issues
  • Finance, and Economics
  • Robotics
  • Mathematical Programming Algorithm Implementations, Parallel Computing, and Software
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