Space craft photographed floating in low earth orbit

Open Access research: Conquering challenges in, and from, space...

Strathclyde researchers are highly active in the areas of space systems, astronautics, space science, and space mechatronics. Researchers from Physics within the Centre for Space Science and Applications, the Aerospace Centre of Excellence in MAE, the Space Mechatronic Systems Technology (SMeSTech) Laboratory within DMEM, and researchers in EEE, all explore the engineering and scientific challenges within space, with topics such as spaceflight mechanics, robotics for in-orbit satellite services and refuelling, and satellite-based ocean colour remote sensing, among many others.

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Jump to: 2021 | 2019 | 2018 | 2017
Number of items: 17.

2021

Kaklis, Panagiotis and Khan, Shahroz and Serani, Andrea and Diez, Matteo (2021) Supporting expensive physical models with geometric moment invariants to accelerate sensitivity analysis for shape optimisation. In: Dagstuhl Seminar 21471, 2021-11-21 - 2021-11-26, Schloss Dagstuhl.

Khan, S. and Kostas, K. and Kaklis, P. and Serani, A. and Diez, M. (2021) Bayesian shape optimization in high dimensional design spaces using IGA-enabled solvers. In: Virtual International Conference on Isogeometric Analysis, 2021-09-27 - 2021-09-29.

Çelik, Cihad and Danişman, Devrim Bülent and Khan, Shahroz and Kaklis, Panagiotis (2021) A reduced order data-driven method for resistance prediction and shape optimization of hull vane. Ocean Engineering, 235. 109406. ISSN 0029-8018

Khan, Shahroz and Kaklis, Panagiotis (2021) From regional sensitivity to intra-sensitivity for parametric analysis of free-form shapes : application to ship design. Advanced Engineering Informatics, 49. 101314. ISSN 1474-0346

Masood, Zahid and Khan, Shahroz and Qian, Li (2021) Machine learning-based surrogate model for accelerating simulation-driven optimisation of hydropower Kaplan turbine. Renewable Energy, 173. pp. 827-848. ISSN 0960-1481

Usama, Muhammad and Arif, Aqib and Haris, Farhan and Khan, Shahroz and Afaq, S. Kamran and Rashid, Shahrukh; (2021) A data-driven interactive system for aerodynamic and user-centred generative vehicle design. In: 2021 International Conference on Artificial Intelligence, ICAI 2021. IEEE, Piscataway, NJ, pp. 119-127. ISBN 9781665432931

Khan, Shahroz and Kaklis, Panagiotis and Serani, Andrea and Diez, Matteo; (2021) Geometry-driven parametric sensitivity analysis for free-form marine shapes. In: IX Conference on Computational Methods in Marine Engineering. International Center for Numerical Methods in Engineering (CIMNE), [Edinburgh].

Lazakis, Iraklis and Khan, Shahroz (2021) An optimisation framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms. Ocean Engineering. ISSN 0029-8018 (In Press)

Khan, Shahroz and Serani, Andrea and Diez, Matteo and Kaklis, Panagiotis; (2021) Physics-informed feature-to-feature learning for design-space dimensionality reduction in shape optimisation. In: AIAA Scitech 2021 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, Reston, VA.. ISBN 9781624106095

2019

Gunpinar, Erkan and Khan, Shahroz (2019) A multi-criteria based selection method using non-dominated sorting for genetic algorithm based design. Optimization and Engineering. ISSN 1389-4420

Khan, Shahroz and Gunpinar, Erkan and Sener, Bekir (2019) GenYacht : an interactive generative design system for computer-aided yacht hull design. Ocean Engineering, 191. 106462. ISSN 0029-8018

Khan, Shahroz and Gunpinar, Erkan and Moriguchi, Masaki and Suzuki, Hiromasa (2019) Evolving a psycho-physical distance metric for generative design exploration of diverse shapes. Journal of Mechanical Design, 141 (11). 111101. ISSN 1050-0472

Celik, C. and Danisman, D.B. and Kaklis, P. and Khan, S.; Georgiev, Petar and Soares, Carlos Guedes, eds. (2019) An investigation into the effect of the hull vane on the ship resistance in OpenFOAM. In: Sustainable Development and Innovations in Marine Technologies. CRC Press, London, pp. 136-141. ISBN 9780367810085

2018

Khan, Shahroz and Awan, Muhammad Junaid (2018) A generative design technique for exploring shape variations. Advanced Engineering Informatics, 38. pp. 712-724. ISSN 1474-0346

Khan, Shahroz and Gunpinar, Erkan (2018) Sampling CAD models via an extended teaching–learning-based optimization technique. Computer-Aided Design, 100. pp. 52-67. ISSN 0010-4485

2017

Khan, Shahroz and Gunpinar, Erkan (2017) An extended latin hypercube sampling approach for CAD model generation. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 18 (2). pp. 301-314. ISSN 1302-3160

Khan, Shahroz and Gunpinar, Erkan and Dogan, Kemal Mert (2017) A novel design framework for generation and parametric modification of yacht hull surfaces. Ocean Engineering, 136. pp. 243-259. ISSN 0029-8018

This list was generated on Wed Jan 19 10:59:15 2022 GMT.