Dr Amin Nazemian

Research Fellow

Naval Architecture, Ocean and Marine Engineering

Contact

Personal statement

Solid expertise in Computational Fluid Dynamic models applied to ship design and optimization, with particular focus on resistance and seakeeping predictions of high speed unconventional vessels specially trimaran ships. Strong ability in the development of automatic procedures for hull form generation, fluid dynamic, solid mechanic analysis, and stability verification ultimately aimed at design optimization. Extensive experience in applying machine learning techniques for construction of surrogate models suitable for cost-effective multi-disciplinary optimization in highly multi­dimensional, design space. Proven ability in the development of Set-Based Design frameworks based on Risk-Adaptive surrogate models constructed from simulation data coming from different fidelity information sources. Significant experience in parallel high performance computing. Demonstrated ability in collaborating with diverse multi-institutional research teams. Implementation of ship spiral design from concept design to preparation detail and shop design plans. More than six years job experience in design and building steel, aluminum, and fiberglass marine vehicles

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Publications

Addressing the modern need for electrical skills in the maritime sector
Prousalidis John, Boulougouris Evangelos, Nazemian Amin, Aung Myo Zin, Lekka Anna Maria, MANOS Anastasios
17th International Naval Engineering Conference & Exhibition (2024)
https://doi.org/10.24868/11182
Establishment of a design study for comprehensive hydrodynamic optimisation in the preliminary stage of the ship design
Aung Myo Zin, Nazemian Amin, Boulougouris Evangelos, Wang Haibin, Duman Suleyman, Xu Xue
Ships and Offshore Structures Vol 19, pp. 793-806 (2024)
https://doi.org/10.1080/17445302.2023.2208500
Hybrid and alternative fuel power management systems in ships – multi-criteria decision-making assessment
Nazemian Amin, Boulougouris Evangelos, Melemadom Sarath Krishnan
(2024)
https://doi.org/10.59490/imdc.2024.861
Utilizing Machine Learning Tools for calm water resistance prediction and design optimization of a fast catamaran ferry
Nazemian Amin, Boulougouris Evangelos, Aung Myo Zin
Journal of Marine Science and Engineering Vol 12 (2024)
https://doi.org/10.3390/jmse12020216
Numerical analysis of the impact of the bow thruster opening on a fast catamaran’s resistance
Duman Suleyman, Boulougouris Evangelos, Aung Myo Zin, Xu Xue, Nazemian Amin
The 8th International Symposium on Ship Operations, Management and Economics (2023)
https://doi.org/10.5957/some-2023-034
Numerical evaluation of the wave-making resistance of a zero-emission fast passenger ferry operating in shallow water by using the double-body approach
Duman Suleyman, Boulougouris Evangelos, Aung Myo Zin, Xu Xue, Nazemian Amin
Journal of Marine Science and Engineering Vol 11 (2023)
https://doi.org/10.3390/jmse11010187

More publications

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Projects

Feasibility study of Sustainable WAterborne Transportation (SWAT) by developing a versatile, zero-emission fleet
Nazemian, Amin (Principal Investigator) Boulougouris, Evangelos (Co-investigator)
01-Jan-2024 - 31-Jan-2024
Digital Shipwright: Transforming Shipyards and Shipbuilding
Aung, Myo Zin (Principal Investigator) Boulougouris, Evangelos (Co-investigator) Nazemian, Amin (Co-investigator)
01-Jan-2024 - 31-Jan-2026

More projects

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Contact

Dr Amin Nazemian
Research Fellow
Naval Architecture, Ocean and Marine Engineering

Email: amin.nazemian@strath.ac.uk
Tel: Unlisted