Muhammad Salman Siddiqui

Associate Professor

Norwegian University of Life Sciences

Norway

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Dr. Muhammad Salman Siddiqui is an Associate Professor at the Norwegian University of Life Sciences, Norway. His research interests encompass machine learning applications in fluid dynamics, renewable energy systems, and performance assessment of wind turbines and marine propulsion technologies. Recent publications include studies on the design of sCO2 cycle precoolers, porous medium fluid flow, and the aerodynamic performance of vertical and horizontal axis wind turbines.

Articles (10)

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

Collaborators (3)

Fadi Al Machot

Associate Professor

Norwegian University of Life Sciences

NORWAY

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Liang Yang

UNITED KINGDOM

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Arvind Keprate

External Lecturer

Høyskolen Kristiania

NORWAY

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Muhammad Salman Siddiqui

Research Interests

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About

Articles (10)

A machine learning-based study of sCO2 cycle precooler's design and performance with straight and zigzag channels

Darcy-Brinkman porous medium for dusty fluid flow with steady boundary layer flow in the presence of slip effect

Experimental investigation of wave induced flapping foil for marine propulsion: Heave and pitch stiffness effect

Numerical Investigations on the Transient Aerodynamic Performance Characterization of a Multibladed Vertical Axis Wind Turbine

Unsteady Fluid Flow in a Darcy-Brinkman Porous Medium with Slip Effect and Porous Dissipation

An Integral Projection-Based Semantic Autoencoder for Zero-Shot Learning

Effect of leading-edge erosion on the performance of offshore horizontal axis wind turbine using BEM method

Modeling and comparative assessment of solar thermal systems for space and water heating: Liquid water versus air-based systems

Numerical investigation of blade roughness impact on the aerodynamic performance and wake behavior of horizontal axis wind turbine

Reliability analysis of 15MW horizontal axis wind turbine rotor blades using fluid-structure interaction simulation and adaptive kriging model

Collaborators (3)

Fadi Al Machot

Liang Yang

Arvind Keprate

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