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Shahroz Khan
Shahroz Khan
Modelling & Simulation Engineer | Marie Sklodowska-Curie Fellow
Verified email at bartechnologies.uk - Homepage
Title
Cited by
Cited by
Year
A generative design technique for exploring shape variations
S Khan, MJ Awan
Advanced Engineering Informatics 38, 712-724, 2018
1192018
GenYacht: An interactive generative design system for computer-aided yacht hull design
S Khan, E Gunpinar, B Şener
Ocean Engineering 191, 106462, 2019
512019
A novel design framework for generation and parametric modification of yacht hull surfaces
S Khan, E Gunpinar, KM Dogan
Ocean Engineering 136, 243–259, 2017
472017
Sampling CAD models via an extended teaching–learning-based optimization technique
S Khan, E Gunpinar
Computer-Aided Design 100, 52-67, 2018
392018
An optimization framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms
I Lazakis, S Khan
Ocean Engineering 225, 108752, 2021
312021
Evolving a Psycho-Physical Distance Metric for Generative Design Exploration of Diverse Shapes
S Khan, E Gunpinar, M Moriguchi, H Suzuki
Journal of Mechanical Design 141 (11), 111101, 2019
292019
Machine learning-based surrogate model for accelerating simulation-driven optimisation of hydropower Kaplan turbine
Z Masood, S Khan, L Qian
Renewable Energy 173, 827-848, 2021
232021
Physics-informed feature-to-feature learning for design-space dimensionality reduction in shape optimisation
S Khan, A Serani, M Diez, P Kaklis
AIAA scitech 2021 forum, 1235, 2021
182021
A multi-criteria based selection method using non-dominated sorting for genetic algorithm based design
E Gunpinar, S Khan
Optimization and Engineering 21, 1319-1357, 2020
182020
Shape-supervised dimension reduction: Extracting geometry and physics associated features with geometric moments
S Khan, P Kaklis, A Serani, M Diez, K Kostas
Computer-Aided Design 150, 103327, 2022
172022
A reduced order data-driven method for resistance prediction and shape optimization of hull vane
C Çelik, DB Danışman, S Khan, P Kaklis
Ocean Engineering 235, 109406, 2021
152021
An investigation into the effect of the Hull Vane on the ship resistance in OpenFOAM
C Celik, DB Danisman, P Kaklis, S Khan
Sustainable Development and Innovations in Marine Technologies, 136-141, 2019
152019
Geometric moment-dependent global sensitivity analysis without simulation data: application to ship hull form optimisation
S Khan, P Kaklis, A Serani, M Diez
Computer-Aided Design 151, 103339, 2022
142022
ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model
S Khan, K Goucher-Lambert, K Kostas, P Kaklis
Computer Methods in Applied Mechanics and Engineering 411, 116051, 2023
132023
ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model
S Khan, K Goucher-Lambert, K Kostas, P Kaklis
Computer Methods in Applied Mechanics and Engineering 411, 116051, 2023
132023
Customer-centered design sampling for cad products using spatial simulated annealing
S Khan, E Gunpinar, M Moriguchi
Proceedings of CAD 17, 100-103, 2017
132017
From regional sensitivity to intra-sensitivity for parametric analysis of free-form shapes: Application to ship design
S Khan, P Kaklis
Advanced Engineering Informatics 49, 101314, 2021
122021
An extended latin hypercube sampling approach for cad model generation
K Shahroz, E Gunpinar
Anadolu Üniversitesi Bilim Ve Teknoloji Dergisi A-Uygulamalı Bilimler ve …, 2017
72017
ModiYacht: intelligent CAD tool for parametric, generative, attributive and interactive modelling of yacht hull forms
S Khan, E Gunpinar, K Mert Dogan, B Sener, P Kaklis
SNAME International Marine Design Conference, D041S011R002, 2022
62022
A data-driven interactive system for aerodynamic and user-centred generative vehicle design
M Usama, A Arif, F Haris, S Khan, SK Afaq, S Rashid
2021 International Conference on Artificial Intelligence (ICAI), 119-127, 2021
62021
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