Home \ Faculty Details \ Zeeshan A. Rana
Faculty Img

  • Phone:

    8827

  • Email:

    zrana@pmu.edu.sa

  • Office No:

    S-033

  • Zeeshan A. Rana

  • Job Title :

    Associate Professor

  • College :

    College of Engineering


  • Department :

    Mechanical Engineering


Dr Zeeshan Rana is from UK and is currently working as the Associate Professor in the department of Mechanical Engineering at the PMU (KSA). He graduated in Mechanical engineering and obtained Common Wealth Scholarship to study MSc in Manufacturing and Management from UWE (UK). Later he joined Cranfield University (UK) to pursue his PhD research on EPSRC (UK) Scholarship and completed his PhD within 2.5 years in the turbulent super/hypersonic flows with flow mixing using Implicit Large Eddy Simulation (ILES). He worked on a novel technique to generate systhetic turbulent inflow data for time accurate simulations such as LES, iLES and DNS.

Dr Rana has a long-established career in academia where he has contributed to the teaching and research activities extensively. He has worked at the Cranfield University (UK), the University of Sheffield (UK) and KAUST (King Abdullah University of Science and Technology, KSA). During nearly 15 years at Cranfield University, Dr Rana has been the Director for post graduate course in Computational Fluid Dynamics (CFD) and contributed extensively to development, planning and delivery of various courses in Mechanical and Aerospace. He established new lab and currently completed supervision of 16 PhD students at Cranfield University. Dr Rana has won several research funding including defense related projects. His research clients include several industries namely NASA, DLR (German Aerospace Centre), Airbus, DSTL, Rolls Royce, Redring Xpelair and Department for Transport (DfT). Dr Rana is active member of AIAA (American Institute of Aeronautics and Astronautics) and has acted as chair of the sessions (supersonic and hypersonic aerodynamics) at several AIAA SciTech conferences. He acted as Aerospace H&S Coordinator, member of exams board and fire marshal. He further acted as external examiner for MSc and PhD students at the University of Sydney (Australia), University of Exeter (UK), University of Leicester (UK), Oxford Brookes University (UK) and University of West London, (UK). Currently Dr Rana has is also visiting professorships at Cranfield University (UK) and University of West London (UK).

Dr Rana bring in several years of industrial work experience where he practiced mechanical engineering at senior level in various industries such as ICI, SKF and cement and power plants. He also has worked in manufacturing industry as senior product engineer where he was involved in product design, development and testing to the required British and European standards.

 

 

 

- BSc Mechanical Engineering.

- MSc Manufacturing and Management Information Systems (UWE, Bristol, UK)

- PhD Cranfield University, UK

  1. 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)
  2. Yildirim S & Rana ZA. (2024). Enhancing Aircraft Safety through Advanced Engine Health Monitoring with Long Short-Term Memory. Sensors, 24(2)
  3. 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)
  4. Kasula P, Whidborne JF & Rana ZA. (2024). Quaternion-Based Attitude Estimation of an Aircraft Model Using Computer Vision. Sensors, 24(12)
  5. Bang CS, Rana ZA & Prince SA. (2024). CFD Analysis on Novel Vertical Axis Wind Turbine (VAWT). Machines, 12(11)
  6. Nnabuife SG, Kuang B, Whidborne JF & Rana ZA. (2023). 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)
  7. Yildirim S, Chimeumanu MS & Rana ZA. (2023). The influence of micro-expressions on deception detection. Multimedia Tools and Applications, 82(19)
  8. Yildirim S & Rana ZA. (2023). Reducing the Reality Gap Using Hybrid Data for Real-Time Autonomous Operations. Mathematics, 11(7)
  9. Woods LT & Rana ZA. (2023). Modelling Sign Language with Encoder-Only Transformers and Human Pose Estimation Keypoint Data. Mathematics, 11(9)
  10. 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)
  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)
  12. Bang CS, Rana ZA, Könözsy L, 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)
  13. Nnabuife SG, Kuang B, Rana ZA & Whidborne J. (2022). 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)
  14. Rana ZA, 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)
  15. 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)
  16. Bang CS, Rana ZA, Könözsy L, 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)
  17. Chaudhary H, Könözsy L & Rana ZA. (2022). A novel combination of mathematical modelling approaches for simulating nearly hypersonic, viscous, reacting magnetogasdynamic flows. Applied Mathematical Modelling, 107(July)
  18. 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)
  19. Boyu K, Yuheng C & Zeeshan A R. (2022). OG-SLAM: A real-time and high-accurate monocular visual SLAM framework. Trends in Computer Science and Information Technology, 7(2)
  20. Wisniewski M, Rana ZA & Petrunin I. (2022). Drone Model Classification Using Convolutional Neural Network Trained on Synthetic Data. Journal of Imaging, 8(8)
  21. Yeap J-M, Rana ZA, Könözsy L & 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)
  22. 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)
  23. Kuang B, Nnabuife SG & Rana Z. (2021). Pseudo-image-feature-based identification benchmark for multi-phase flow regimes. Chemical Engineering Journal Advances, 5
  24. 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)
  25. Kuang B, Rana ZA & Zhao Y. (2021). Sky and Ground Segmentation in the Navigation Visions of the Planetary Rovers. Sensors, 21(21)
  26. Kuang B, Wisniewski M, Rana ZA & Zhao Y. (2021). Rock Segmentation in the Navigation Vision of the Planetary Rovers. Mathematics, 9(23)
  27. Godfrey Nnabuife S, Kuang B, Whidborne JF & Rana Z. (2021). Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline riser using a Doppler ultrasonic sensor and deep neural networks. Chemical Engineering Journal, 403
  28. Castro X & Rana ZA. (2020). Aerodynamic and Structural Design of a 2022 Formula One Front Wing Assembly. Fluids, 5(4)
  29. 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)
  30. BAGUL P, RANA ZA, JENKINS KW & KÖNÖZSY L. (2020). Computational engineering analysis of external geometrical modifications on MQ-1 unmanned combat aerial vehicle. Chinese Journal of Aeronautics, 33(4)
  31. Gawryszewski K, Rana ZA, Jenkins KW, Ioannou P & Okonkwo D. (2019). 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)
  32. Expósito D & Rana ZA. (2019). Computational investigations into heat transfer over a double wedge in hypersonic flows. Aerospace Science and Technology, 92
  33. El Rafei M, Könözsy L & Rana Z. (2017). Investigation of Numerical Dissipation in Classical and Implicit Large Eddy Simulations. Aerospace, 4(4)
  34. Sakellariou K, Rana ZA & 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)
  35. 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)
  36. Rana ZA, Thornber B & Drikakis D. (2011). Transverse jet injection into a supersonic turbulent cross-flow. Physics of Fluids, 23(4)
  37. Rana ZA, Thornber B & Drikakis D. (2011). On the importance of generating accurate turbulent boundary condition for unsteady simulations. Journal of Turbulence, 12(35)

Senior Member, AIAA, USA

Member, IET, UK

Member, UKFN, UK

Member, SIG: Hypersonics, UKFN, UK

Member, UKTC, UK

Fellow, HEA, UK

2024- Present: PMU, Al-Khobar, KSA

2013-2024: Cranfield University, UK

2011-2012: KAUST, KSA

2011-2011: University of Sheffield, UK

2001-2008: Industry (various, UK)

Post Graduate courses:

- Fluid Mechanics and Heat Transfer

- Turbulence

- CFD for Aerospace-1

- CFD for Aerospace-2

- Basics of Aerodynamics

- Computational Environmental Flows.

- Computer Vision

- Computational Fluid Dynamics

 

Undergraduate courses:

- Introduction to CFD-1 & 2

- Automotive Flows

- Thermodynamics

- Introduction to Fluid Mechanics

- Turbomachinery

- Computational Methods

Dr Rana has interest in the following research areas:

- Vertical Axis Wind Turbines (VAWTs).

- Civil Aircraft wing dynamics including winglets.

- Computational Aerodynamics and Heat Transfer.

- Fluid Structrue Interaction (FSI).

- Applications of Deep Learning in Fluid Dynamics and CFD.

- Computer and Machine Vision.

 

American Institute of Aeronautics and Astronautics (AIAA, USA)

The institution of Engineering and Technology (IET, UK)

UK Fluids Network (UKFN, UK)

UK Turbulence Consortium (UKTC, UK)

UK HEA