Optimal electrical stimulation of smooth muscle 

Asymptotic expansion for solutions of the Navier-Stokes equations with potential forces 

Computational stochastic programming with stochastic decomposition 

USC Computer Science Technical Reports, no. 556 (1993) 

USC Computer Science Technical Reports, no. 597 (1994) 

Efficient and effective techniques for large-scale multi-agent path finding 

Structural design tool for performative building elements: a semi-automated Grasshopper plugin for design decision support of complex trusses 

Learning enabled optimization for data and decision sciences 

Solution phase synthesis routes to functional nanomaterials for energy storage 

Optimal guidance trajectories for proximity maneuvering and close approach with a tumbling resident space object under high fidelity J₂ and quadratic drag perturbation model 

Automatic detection and optimization of energy optimizable UIs in Android applications using program analysis 

Hydrodynamic stability of two fluid columns of different densities and viscosities subject to gravity 

Novel theoretical characterization and optimization of experimental efficiency for diffusion MRI 

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

Power efficient design of SRAM arrays and optimal design of signal and power distribution networks in VLSI circuits 

Towards green communications: energy efficient solutions for the next generation cellular mobile communication systems 

Semiconductor inks for solution processed electronic thin‐films 

Computational validation of stochastic programming models and applications 

Energy optimization of mobile applications 

Learning objective functions for autonomous motion generation 

Periodic solutions of flexible systems under discontinuous control 

The robust vehicle routing problem 

New Lagrangian methods for constrained convex programs and their applications 

The essays on the optimal information revelation, and multi-stop shopping 

Handling attacker’s preference in security domains: robust optimization and learning approaches