Dynamic programming-based algorithms and heuristics for routing problems 

Stochastic representation of seismic anisotropy 

Team decision theory and decentralized stochastic control 

On spectral approximations of stochastic partial differential equations driven by Poisson noise 

Comprehensive uncertainty quantification in composites manufacturing processes 

Strategic and transitory models of queueing systems 

The next generation of power-system operations: modeling and optimization innovations to mitigate renewable uncertainty 

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On non-zero-sum stochastic game problems with stopping times 

Numerical analysis on the influence of information delay on optimal investment strategy in the family of 4/2 stochastic volatility models 

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Modern nonconvex optimization: parametric extensions and stochastic programming 

Learning and control for wireless networks via graph signal processing 

Learning enabled optimization for data and decision sciences 

AI-driven experimental design for learning of process parameter models for robotic processing applications 

In situ process monitoring for modeling and defect mitigation in composites processing 

Random deletions of stochastic point processes 

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