activity
20222026
most citedBayesian Optimization For Multi-Objective Mixed-Variable Problems

25 citations · 55 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization

Haris Moazam Sheikh

Multi-objective Bayesian optimization (MOBO) is commonly approached through specialized acquisition functions or scalarization schemes designed to explicitly account for trade-offs…

physics.flu-dyn2026

Bayesian optimization and topographic exploration of drag-reducing dimples for aerodynamic surfaces

Sangjoon Lee, M. Erden Yildizdag, Haris M. Sheikh

Dimples offer a promising route to reducing drag on aerodynamic surfaces. However, whether such shallow concavities yield a net benefit depends sensitively on their topography, whi…

cs.LG2026

MAST: A Multi-fidelity Augmented Surrogate model via Spatial Trust-weighting

Ahmed Mohamed Eisa Nasr, Ali Elham, Haris Moazam Sheikh

In engineering design and scientific computing, computational cost and predictive accuracy are intrinsically coupled. High-fidelity simulations provide accurate predictions but at…

cs.LG2025

Airfoil optimization using Design-by-Morphing with minimized design-space dimensionality

Sangjoon Lee, Haris Moazam Sheikh

Effective airfoil geometry optimization requires exploring a diverse range of designs using as few design variables as possible. This study introduces AirDbM, a Design-by-Morphing…

physics.flu-dyn2025

Optimized Fish Locomotion using Design-by-Morphing and Bayesian Optimization

Hamayun Farooq, Imran Akhtar, Muhammad Saif Ullah Khalid +1

Nature has always inspired scientists and engineers to understand the underlying mechanism leading to optimal design in bio-inspired dynamics. This study presents a computational f…

cs.CG2022★ 17 cited

Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization

Haris Moazam Sheikh, Tess A. Callan, Kealan J. Hennessy +1

Finding the optimal design of a hydrodynamic or aerodynamic surface is often impossible due to the expense of evaluating the cost functions (say, with computational fluid dynamics)…

math.GT2022★ 13 cited

Airfoil Optimization using Design-by-Morphing

Haris Moazam Sheikh, Sangjoon Lee, Jinge Wang +1

We present Design-by-Morphing (DbM), a novel design methodology applicable to creating a search space for topology optimization of 2D airfoils. Most design techniques impose geomet…

cs.LG2022★ 25 cited

Bayesian Optimization For Multi-Objective Mixed-Variable Problems

Haris Moazam Sheikh, Philip S. Marcus

Optimizing multiple, non-preferential objectives for mixed-variable, expensive black-box problems is important in many areas of engineering and science. The expensive, noisy, black…