2 citations · 3 across the 4 of their papers we have counts for
4 papers
Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design
Harsh Vardhan, Peter Volgyesi, Will Hedgecock +1
Automatic underwater vehicle hull Design optimization is a complex engineering process for generating a UUV hull with optimized properties on a given requirement. First, it involve…
Fusion of ML with numerical simulation for optimized propeller design
Harsh Vardhan, Peter Volgyesi, Janos Sztipanovits
In computer-aided engineering design, the goal of a designer is to find an optimal design on a given requirement using the numerical simulator in loop with an optimization method.…
Deep Active Learning for Regression Using -weighted Hybrid Query Strategy
Harsh Vardhan, Janos Sztipanovits
Designing an inexpensive approximate surrogate model that captures the salient features of an expensive high-fidelity behavior is a prevalent approach in design optimization. In re…
Deep Learning-based Finite Element Analysis (FEA) surrogate for sub-sea pressure vessel
Harsh Vardhan, Janos Sztipanovits
During the design process of an autonomous underwater vehicle (AUV), the pressure vessel has a critical role. The pressure vessel contains dry electronics, power sources, and other…