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CV Information
 PROFESOR MADYA DR. MOHAMAD AIZAT BIN ABAS
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Start Year, Student Name, Category, Mode, Thesis Title, Supervisor Type
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| 1 | 2024, ALI MUTHANNA ABDULRAHMAN AL AGELE, PHD, RESEARCH - FULL TIME, Improving Robotic Arm Efficiency Through Weight Optimization, A Finite Element Study, MAIN SUPERVISOR |
| 2 | 2024, RASHID MARWA KHALEEL RASHID, PHD, RESEARCH - FULL TIME, Experimental and Numerical Study on Hybrid Control of Solar Tracking System to Maximize Energy Harvesting, MAIN SUPERVISOR |
| 3 | 2024, ABDULLAH BANAN NAJEM ALDEN ABDULLAH, PHD, RESEARCH - FULL TIME, Energy Conversion of Vcorrugated Absorbee Plate Solar Air Heather Wiyh Phase Change Material, MAIN SUPERVISOR |
| 4 | 2024, AL OMAR WALEED MOHAMMED KHAZAAL, PHD, RESEARCH - FULL TIME, Increasing Polymer Solar Cell Efficiency Through Inverted Device Structures: An Enhanced Power-Conversion Approach., MAIN SUPERVISOR |
| 5 | 2023, AL MAFRACHI AHMED ALI HUSSEIN, PHD, RESEARCH - FULL TIME, Modelling of The Effects of Different Biodiesel-Diesel Blening Ratio on Engine Performance., MAIN SUPERVISOR |
| 6 | 2023, ZHENG ZHANG, PHD, RESEARCH - FULL TIME, Structural Design, Simulation and Experimental Research on Embedded Microchannel 3D Stacked Chips with Manifolds., MAIN SUPERVISOR |
| 7 | 2023, ALMERANE ASHRAF EMAD ABDULRAZZAQ, PHD, RESEARCH - FULL TIME, Heat Transfer Enhancement in A Double-Pipe Heat Exchanger Using a Variety of Hybrid Nanoparticles Suspended in Water., MAIN SUPERVISOR |
| 8 | 2023, MOHAMMED KARAM HASHIM MOHAMMED, PHD, RESEARCH - FULL TIME, Improve Heat Transfer in A Helical Tube Heat Exchanger Using Various Hybrid Nanoparticles Dispersed in Base Fluid., MAIN SUPERVISOR |
| 9 | 2023, CALVIN LING TECK XIAO, PHD, RESEARCH - FULL TIME, Passive Device Crack Detection Study via Artificial Intelligence., MAIN SUPERVISOR |
| 10 | 2021, BAHROUN ABDULMAJID AHMED AMHIMMID, PHD, RESEARCH - FULL TIME, Study on cooling performance using passive and active method on photovoltaic (PV) panel, MAIN SUPERVISOR |
| 11 | 2021, ABUGHNIDA OSAMA AMMAR MOHAMMED, PHD, RESEARCH - FULL TIME, Hybrid Machine Learning Techniques for Prediction of the Performance of Grid-Connected PV Power Generation System., MAIN SUPERVISOR |