Research
Publications
Upcoming
Geometry-Informed Variational Autoencoders for Shape Optimisation
Physics-Informed Geometric Operators to Support Discriminative and Generative Models for Shape Optimisation
2024
Accelerating Dimensionality Reduction in Wave-Resistance Problems through Geometric Operators
Stamatios Stamatatelopoulos, Shahroz Khan, Panagiotis Kaklis
Generative VS non-Generative Models in Engineering Shape Optimisation
Zahid Masood, Muhammad Usama, Shahroz Khan, Konstantinos Kostas, Panagiotis Kaklis
Journal of Marine Science and Engineering, MDPI, Vol. 12(4), 566, 2024.
2023
Shahroz Khan, Kosa Goucher-Lambert, Konstantinos Kostas, Panagiotis Kaklis
Computer Methods in Applied Mechanics and Engineering, Elsevier, Vol. 411, 116051, 2023.
Shape-informed dimensional reduction in Airfoil/Hydrofoil modelling
Zahid Masood, Konstantinos Kostas, Shahroz Khan, Panagiotis Kaklis
Journal of Marine Science and Engineering, MDPI, Vol. 11(10), 1851, 2023.
2022
Shahroz Khan, Panagiotis Kaklis, Andrea Serani, Matteo Diez, Konstantinos Kostas
Computer-Aided Design, Elsevier. Vol. 150. 103327. 2022.
Special Issue: Symposium on Solid and Physical Modeling (SPM) 2022.
Shahroz Khan, Panagiotis Kaklis, Andrea Serani, Matteo Diez
Computer-Aided Design, Elsevier. Vol. 151. 10333. 2022.
PDF PPT Video GitHub
2021
Zahid Masood*, Shahroz Khan*, Li Qian (* Authors share equal contribution)
Renewable Energy, Elsevier. 2021
Cihad Celik, Devrim Bülent Danışman, Shahroz Khan, Panagiotis Kaklis
Ocean Engineering, Elsevier, Vol. 235. 109406. 2021
2019
Shahroz Khan, Erkan Gunpinar, Bekir Sener
Ocean Engineering, Elsevier. Vol. 191. 106462. 2019
(Special Issue: Parametric Modeling for Naval Architecture, Ocean and Marine Engineering Applications)
Travision 2020 - Young Researcher Competition (top 10) [link-1] [link-2]
Shahroz Khan, Erkan Gunpinar, Masaki Moriguchi, Hiromasa Suzuki.
Journal of Mechanical Design, ASME. Vol. 141(11). 11101. 2019
(Special Issue: Machine Learning for Engineering Design)
2018
Shahroz Khan, Muhammad Junaid Awan.
Advanced Engineering Informatics, Elsevier. Vol. 38. 712-724. 2018.
2017
Shahroz Khan, Erkan Gunpinar, Masaki Moriguchi.
Proceedings of CAD'17, Okayama, Japan . 100-103. 2017.
Patent
Shahroz Khan, Erkan Gunpinar, Kemal Mart Dogan
International Application No: PCT/TR2017/050171
Application Date: 19.07.2017,
Applicant: Istanbul Technical University.
Theses
Software
GenYacht
A hybrid-interactive generative design tool to support the computer-aided preliminary yacht hull design.
Download User Manual Video (YouTube)
ModiYacht
A computational design tool for parametric and attribute-based modeling of yacht hulls.
DesignN
A generative design plugin for computer-aided design (CAD) systems to help designers to create appealing alternatives for their initial CAD models.
Download User Manual Video (YouTube) WebGL Version (under development)
Talks
Khan, S., & Kaklis, P., (March 14 -16, 2022). Intra-sensitivity: An approach to regional sensitivity analysis for studying local behaviour of parametric sensitivities. In Tenth International Conference on Sensitivity Analysis of Model Output (SAMO), Florida State University, Tallahassee, Florida.
Kaklis, P., Khan, S., Serani, A., & Diez, M. (2021, November). Supporting expensive physical models with geometric moment invariants to accelerate sensitivity analysis for shape optimisation. In Dagstuhl Seminar 21471: Geometric Modeling: Interoperability and New Challenges.
Khan, S., Kaklis, P., Serani, A., & Diez, M. (2021). Geometry-driven parametric sensitivity analysis for free-form marine shapes. In International Conference on Postgraduate Research in Maritime Technology (PostGradMarTec).
Khan, S., K. Kostas, P. Kaklis, A. Serani, and M. Diez. (2021). Bayesian shape optimization in high dimensional design spaces using IGA-enabled solvers. In Virtual International Conference on Isogeometric Analysis.
Khan, S., Kaklis, P., Serani, A., & Diez, M. (2021). Geometry-driven parametric sensitivity analysis for free-form marine shapes. In MARINE 2021 - International Center for Numerical Methods in Engineering (CIMNE).
Shahroz Khan, Erkan Gunpinar, Bekir Sener & Panagiotis Kaklis. (2019). Interactive Design System for User-Centered Design of Yacht Hulls. Doctoral School Multidisciplinary Symposium (DSMS'19). Glasgow, United Kingdom.
Shahroz Khan & Panagiotis Kaklis. (2019). Intelligent Design Systems for Maritime Industry. Postgraduate Research Conference (PGR'19). Glasgow, United Kingdom.
Shahroz Khan, Erkan Gunpinar & Kemal Mert Dogan. (2017). Adjective-based, Customer-oriented Smart Design and Applications in Automotive and Ship Building Industries. Proceeding of Otomotiv Sanayinde Müşteri Odaklı Tasarım Çalıştayı (OSMOT’2017), Istanbul, Turkey.
Shahroz Khan, Erkan Gunpinar, & Masaki Moriguchi. (2017). Customer-Centered Design Sampling for CAD Products Using Spatial Simulated Annealing. Proceeding of CAD’17, Okayama, Japan, 100-103.
Shahroz Khan & Erkan Gunpinar. (2017). Constrained Based Latin Hypercube Sampling Approach for Product Design. In International Conference on Engineering Research & Applications, Istanbul, Turkey.
Shahroz Khan, Erkan Gunpinar & Kem al Mert Dogan. (2016). A Design Framework for the Generation of Planing and Displacement Yacht Hulls. In Asian Conference on Design and Digital Engineering’16, Jeju, South Korea.
Shahroz Khan, Erkan Gunpinar & Kemal Mert Dogan. (2016). CAD Tool for Parametric Design Modification of Yacht Hull Surface Models. In 18th International Conference on Engineering, Design, and Innovation, Paris, France.
Shahroz Khan & Osman Tehe Sen (2016). Dynamic Investigation of Brake Squeal Problem in the Presence of Kinematic Nonlinearities. In 18th International Conference on Engineering, Design, and Innovation, Paris, France.
Shahroz Khan & Erkan Gunpinar. (2015). Attribute-based Shape Modifiers for Superyacht Hull Design. In International Workshop on Smart Design and Manufacturing’15, Istanbul, Turkey.