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Dr. Zia Hameed is a highly motivated and accomplished Electrical and Electronic Engineer with a PhD from Staffordshire University, UK, specializing in Deep Learning-Based Optimisation for Smart Grid Energy Management. He has over nine years of combined academic and industrial experience in teaching, research, and technical consultancy across the UK and internationally. His teaching expertise covers a wide range of modules, including Electrical Design and Modelling, Power Electronics, Automation and Control Engineering, Smart Grids, and Renewable Energy Systems. He has extensive experience delivering lab-based instruction using MATLAB/Simulink, AutoCAD, ETAP, Proteus, Multisim, and PLC-based systems. Dr. Hameed s research focuses on AI-driven energy optimisation, renewable energy integration, and smart grid systems, with multiple publications in high-impact IEEE journals and international conferences. He has also worked as an Energy Management Consultant (ECO4, UK), supporting renewable and energy-efficient solutions aligned with Net Zero 2050 goals. Recognised as an Associate Fellow of Advance HE (AFHEA), Dr. Hameed demonstrates excellence in teaching, research, and academic leadership. His multidisciplinary expertise, technical proficiency, and commitment to innovation make him an outstanding candidate for a Lecturer position in Electrical and Electronic Engineering.
About
Dr. Zia Hameed is a dedicated and accomplished Electrical and Electronic Engineer with a PhD from Staffordshire University, UK, specializing in Deep Learning-Based Optimisation for Smart Grid Energy Management. With over nine years of academic and industrial experience, he combines strong research, teaching, and technical expertise in power systems, renewable energy integration, and intelligent control systems. He has lectured at both undergraduate and postgraduate levels, delivering modules in Electrical Design and Modelling, Automation and Control, Power Electronics, and Smart Grids, while supervising student projects and conducting lab-based teaching using MATLAB, AutoCAD, ETAP, and Proteus. Dr. Hameed s research focuses on AI-driven smart grids, renewable energy optimisation, and machine learning applications in power systems, with numerous publications in high-impact IEEE journals and conferences. His work contributes directly to Net Zero 2050 goals through advanced energy management solutions. In addition to academia, he has professional experience as an Energy Management Consultant under the ECO4 scheme in the UK, assessing renewable integration, energy efficiency, and system optimisation. His collaborative approach, proven teaching excellence (AFHEA Fellow, Advance HE), and commitment to innovation make him a strong candidate for a Lecturer position in Electrical and Electronic Engineering.