20 citations · 51 across the 8 of their papers we have counts for
9 papers
Optimal Control of Dynamic Gas Networks Using Gaussian Processes with Chance-Constraint Reformulation
Taiwo A. Adebiyi, Robert Ferrando, Manuel Garcia +3
Natural gas networks must accommodate variable demand and supply while maintaining pressure across pipelines whose stored gas couples operating decisions through time. Probabilisti…
Achieving high-performance polarization-independent nonreciprocal thermal radiation with pattern-free heterostructures
Bach Do, Bardia Nabavi, Sina Jafari Ghalekohneh +3
Many advanced energy harvesting technologies rely on advanced control of thermal emission. Recently, it has been shown that the emissivity and absorptivity of thermal emitters can…
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
Bach Do, Nafeezat A. Ajenifuja, Taiwo A. Adebiyi +1
High-fidelity simulations and physical experiments are essential for engineering analysis and design, yet their high cost often makes two critical tasks--global sensitivity analysi…
Gaussian Process Thompson Sampling via Rootfinding
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
Thompson sampling (TS) is a simple, effective stochastic policy in Bayesian decision making. It samples the posterior belief about the reward profile and optimizes the sample to ob…
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
Bayesian optimization devolves the global optimization of a costly objective function to the global optimization of a sequence of acquisition functions. This inner-loop optimizatio…
Automated design of nonreciprocal thermal emitters via Bayesian optimization
Bach Do, Sina Jafari Ghalekohneh, Taiwo Adebiyi +2
Nonreciprocal thermal emitters that break Kirchhoff's law of thermal radiation promise exciting applications for thermal and energy applications. The design of the bandwidth and an…
Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
Taiwo A. Adebiyi, Nafeezat A. Ajenifuja, Ruda Zhang
Digital twin (DT) technology has received immense attention over the years due to the promises it presents to various stakeholders in science and engineering. As a result, differen…
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
Bach Do, Taiwo Adebiyi, Ruda Zhang
Bayesian optimization (BO) has become a powerful tool for solving simulation-based engineering optimization problems thanks to its ability to integrate physical and mathematical un…
Multi-fidelity Bayesian Optimization: A Review
Bach Do, Ruda Zhang
Resided at the intersection of multi-fidelity optimization (MFO) and Bayesian optimization (BO), MF BO has found a niche in solving expensive engineering design optimization proble…