Contact Dr Zeeshan Rana
- Tel: +44 (0) 1234 758216
- Email: zeeshan.rana@cranfield.ac.uk
- ORCID
- Google Scholar
Areas of expertise
- Autonomous Systems
- Computational Fluid Dynamics
- Computing, Simulation & Modelling
- Gas Turbines & Propulsion
- Power Systems & Turbines
- Renewable Energy
Background
Zeeshan has a background in Mechanical engineering with several years of industrial experience in various industries. He received his PhD in Computational Fluid Dynamics and Aerodynamics investigating turbulent mixing in super/hypersonic flows within the framework of Implicit Large Eddy Simulations (ILES) from Cranfield University.
Current activities
Dr Zeeshan Rana has research interest in the area of Computational Aerodynamics. He is working on various projects related to Computational Fluid Dynamics of aerospace vehicles, high performance motorsports, external and internal aerodynamics performance, optimisation at low, transonic and supersonic Mach numbers. He has a keen interest into complex hypersonic flows and applications of Artificial Intelligence in Computational Aerodynamics.
Publications
Articles In Journals
- Li Z & Rana ZA. (2025). Evaluation of Third-Order Weighted Essentially Non-Oscillatory Scheme Within Implicit Large Eddy Simulation Framework Using OpenFOAM. Aerospace, 12(2)
- Tabassum TE, Petrunin I & Rana ZA. (2025). A comparative analysis of hybrid sensor fusion schemes for visual–inertial navigation. IEEE Transactions on Instrumentation and Measurement, 74
- Ndive JN, Eze SO, Nnabuife SG, Kuang B & Rana ZA. (2025). Dual-Chamber microbial fuel cell for Azo-Dye degradation and electricity generation in Textile wastewater treatment. Waste Management Bulletin, 3(3)
- Yildirim S & Rana ZA. (2024). Enhancing aircraft safety through advanced engine health monitoring with long short-term memory. Sensors, 24(2)
- Wisniewski M, Rana ZA, Petrunin I, Holt A & Harman S. (2024). Towards fully autonomous drone tracking by a reinforcement learning agent controlling a pan–tilt–zoom camera. Drones, 8(6)
- Kasula P, Whidborne JF & Rana ZA. (2024). Quaternion-based attitude estimation of an aircraft model using computer vision. Sensors, 24(12)
- Bang CS, Rana ZA & Prince SA. (2024). CFD analysis on novel vertical axis wind turbine (VAWT). Machines, 12(11)
- Yildirim S, Chimeumanu MS & Rana ZA. (2023). The influence of micro-expressions on deception detection. Multimedia Tools and Applications, 82(19)
- Yildirim S & Rana Z. (2023). Reducing the reality gap using hybrid data for real-time autonomous operations. Mathematics, 11(7)
- Woods LT & Rana ZA. (2023). Modelling sign language with encoder-only transformers and human pose estimation keypoint data. Mathematics, 11(9)
- Tabassum TE, Xu Z, Petrunin I & Rana ZA. (2023). Integrating GRU with a Kalman filter to enhance visual inertial odometry performance in complex environments. Aerospace, 10(11)
- Woods LT & Rana ZA. (2023). Constraints on optimising encoder-only transformers for modelling sign language with human pose estimation keypoint data. Journal of Imaging, 9(11)
- Bang CS, Rana Z, Könözsy LZ, Rodriguez VM & Temple C. (2022). Aeroelastic analysis of a single element composite wing in ground effect using Fluid Structure Interaction. Journal of Fluids Engineering, 144(4)
- Rana Z, Mauret F, Sanchez-Gil JM, Zeng K, Hou Z, .... (2022). Computational analysis and design of an aerofoil with morphing tail for improved aerodynamic performance in transonic regime. The Aeronautical Journal, 126(1301)
- Kuang B, Nnabuife SG, Sun S, Whidborne JF & Rana ZA. (2022). Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an S-shaped riser. Digital Chemical Engineering, 2(March)
- Bang CS, Rana ZA, Könözsy LZ, Marchante Rodriguez V & Temple C. (2022). Numerical investigation and fluid-structure interaction (FSI) analysis on a double-element simplified Formula One (F1) composite wing in the presence of ground effect. Fluids, 7(2)
- Chaudhary H, Könözsy LZ & Rana ZA. (2022). A novel combination of mathematical modelling approaches for simulating nearly hypersonic, viscous, reacting magnetogasdynamic flows. Applied Mathematical Modelling, 107(July)
- Khalil K, Khan H, Chahar D, Townsend JF & Rana ZA. (2022). A 3D CFD analysis of flow past a hipped roof with comparison to industrial building standards. Wind and Structures, An International Journal, 34(6)
- Kuang B, Chen Y & Rana ZA. (2022). OG-SLAM: a real-time and high-accurate monocular visual SLAM framework. Trends in Computer Science and Information Technology, 7(2)
- Wisniewski M, Rana ZA & Petrunin I. (2022). Drone model classification using convolutional neural network trained on synthetic data. Journal of Imaging, 8(8)
- Yeap J-M, Rana ZA, Könözsy LZ & Jenkins KW. (2022). Evaluation of the SU2 open-source code for a hypersonic flow at mach number 5. Journal of Computational and Applied Mechanics, 17(1)
- Kuang B, Gu C, Rana ZA, Zhao Y, Sun S, .... (2022). Semantic terrain segmentation in the navigation vision of planetary rovers – a systematic literature review. Sensors, 22(21)
- Zeng K, Li Z, Rana ZA & Jenkins KW. (2021). Implicit large eddy simulations of turbulent flow around a square cylinder at Re=22,000. Computers & Fluids, 226(August)
- Nnabuife SG, Kuang B, Whidborne JF & Rana ZA. (2021). Development of gas-liquid flow regimes identification using a noninvasive ultrasonic sensor, belt-shape features, and convolutional neural network in an S-shaped riser. IEEE Transactions on Cybernetics, 53(1)
- Kuang B, Rana ZA & Zhao Y. (2021). Sky and ground segmentation in the navigation visions of the planetary rovers. Sensors, 21(21)
- Kuang B, Wisniewski M, Rana ZA & Zhao Y. (2021). Rock segmentation in the navigation vision of the planetary rovers. Mathematics, 9(23)
- Nnabuife SG, Kuang B, Rana ZA & Whidborne JF. (2021). Classification of flow regimes using a neural network and a non-invasive ultrasonic sensor in an S-shaped pipeline-riser system. Chemical Engineering Journal Advances, 9(March)
- Kuang B, Nnabuife SG & Rana Z. (2020). Pseudo-image-feature-based identification benchmark for multi-phase flow regimes. Chemical Engineering Journal Advances, 5
- Castro X & Rana ZA. (2020). Aerodynamic and structural design of a 2022 Formula One front wing assembly. Fluids, 5(4)
- Arrondeau B & Rana ZA. (2020). Computational aerodynamics analysis of non-symmetric multi-element wing in ground effect with humpback whale flipper tubercles. Fluids, 5(4)
- Nnabuife SG, Kuang B, Whidborne JF & Rana Z. (2020). Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline-riser using doppler ultrasonic sensor and deep neural networks. Chemical Engineering Journal, 403
- Bagul P, Rana ZA, Jenkins KW & Könözsy LZ. (2020). Computational engineering analysis of external geometrical modifications on the MQ-1 unmanned combat aerial vehicle. Chinese Journal of Aeronautics, 33(4)
- Expósito D & Rana Z. (2019). Computational investigations into heat transfer over a double wedge in hypersonic flows. Aerospace Science and Technology, 92
- Gawryszewski K, Rana Z, Jenkins KW, Ioannou P & Okonkwo D. (2018). An automatic image analysis methodology for the measurement of droplet size distributions in liquid–liquid dispersion: round object detection. International Journal of Computers and Applications, 41(5)
- El Rafei M, Könözsy LZ & Rana Z. (2017). Investigation of numerical dissipation in classical and implicit large eddy simulations. Aerospace, 4(4)
- Sakellariou K, Rana Z & Jenkins KW. (2017). Optimisation of the surfboard fin shape using computational fluid dynamics and genetic algorithms. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 231(4)
- Rana ZA, Thornber B & Drikakis D. (2013). Dynamics of Sonic Hydrogen Jet Injection and Mixing Inside Scramjet Combustor. Engineering Applications of Computational Fluid Mechanics, 7(1)
- Rana ZA, Thornber B & Drikakis D. (2011). Transverse jet injection into a supersonic turbulent cross-flow. Physics of Fluids, 23(4)
- Rana ZA, Thornber B & Drikakis D. (2011). On the importance of generating accurate turbulent boundary condition for unsteady simulations. Journal of Turbulence, 12(35)
