I received a PhD degree in advanced control of power electronic converters from the school of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, U.K, in 2012. In August 2017, I joined Teesside University as a Lecturer/Senior Lecturer in Electrical Engineering and was promoted to Senior Lecturer in 2019. Currently, I am Associate Professor in Power Conversion, Energy Informatics and Control and lead of the smart energy management conversion and control research group within the Centre for Sustainable Engineering.

Prior to my current position, I worked as a Research Associate in the School of Engineering, University of Newcastle (2016-2017) in a new topology of switch reluctance machine for a hybrid electric vehicle (48V Town & Country Hybrid Powertrain (TC48) and acted as a Guest member of staff at school of Engineering, Newcastle University form 2018-to-2022. Associate Editor of IET power electronics from 2018-2022, Topic Editor MDPI Energies, Fellow of the Higher Education Academy (FHEA).    

My research leverages fundamental theory from a range of multidisciplinary areas and applies techniques in digitalisation such as Battery Systems, Power Electronics, Smart Grids and microgrids, Signal processing, Artificial Intelligence, and data analysis, System modelling, Adaptive, and digital power control.

My current primary research focuses on battery management systems and power electronic converters across a wide range of applications that includes micro-mobilities, automotive, power grids, and mobile consumers. I am particularly interested in the diagnostics and prognostics of energy storage technologies and advanced control system for power electronic converters, and smart grids. I am, therefore, interested in developing algorithms to accurately predict the capacity, estimate the state of charge and power, and diagnose the state of health of battery cells. Also, I am broadly interested in condition monitoring and fault detection of various applications including power converters, power electronic devices/modules, electrical motors, and capacitors by developing advanced signal processing and machine learning algorithms.

Maher has over 20 years of experience in research. My main research activities include:

• Battery Management Systems,

• Real-time digital control of power electronic converters,
• Design of novel power converters,
• Microgrids and Smart Grids,
• System identification and parameter estimation, system modelling,
• Hardware in the loop (HIL) and digital twins,
• Power Electronics 4.0- Intelligent Power Electronics

• Toward Building Skills and Awareness in Embedded Digital Control of Power Electronic Systems, Innovate UK, Consortium: Teesside University and Sheffield Hallam University, (PI, TU cost 58K), October 2022.
• Condition Monitoring of Integrated Motors for Predictive Maintenance and Safe-Operation, Lloyd’s Foundation, Consortium: Teesside University and Middle East Technical University in Turkey, (PI, TU cost 9.453K), June 2021.
• SERPENT: Sustainable Energy Recovery Process for Efficient Nascent Technologies, IETF energy efficiency and decarbonisation studies, Spring 2021, (CI at TU, TU cost £14,646), March 2022.
• ERDF Grow Tees Valley - GAP - UCS Renewables, (CI, cost £ 9,434.84).
• Newton Fund Travel Grants for early career researcher links program by British Council and Newton-Khalidi (£600), 2019.
• Solar PV, Wind and Fuel Cell Hybrid System with DC Micro Grid, University of Teesside Capital Funding (RCIF), (PI, 30K, 2021).
• Design and Implementation of a Laboratory Microgrid for Teaching and Research, internal seed research funding, Teesside University, (PI, £10K, 2020).
• Rapid Non-destructive Sensors for Battery State-of-Health Assessment, internal seed research funding, Teesside University, (CI, £10K, 2020).
• Intelligent Flexible Ultrasonic Sensing Technologies for Battery Health and Life Monitoring, internal seed research funding, Teesside University, (CI, £9K,2019).
• Signal Processing Techniques for Adaptive Battery Modelling and Health Monitoring, internal seed research funding, Teesside University, (PI, £6K,2018).

Ma'd El-Dalahmeh, “Battery Degradation Diagnosis Using Advanced Signal Processing”, Teesside University. Main Supervisor  

Moat'h El-Dalahmeh “Battery lifetime Identification Using Machine Learning”, Teesside University. Main Supervisor  

Mudhafar Al-Saadi “Developed multi-agent-based control of distributed energy storages, to optimise renewable energy balance and penetration of Micro and smart grids. Main Supervisor

Kapila Warnakulasuriya, “Parametric design of magnetics for modern power electronics applications”, 2022, Teesside University. Co-supervisor. Now: Co-Director of Buckingham Magnetics Ltd.

Ahmed Fakhri, “Modelling and Degradation Cost Assessment of Batteries in Capacity Markets”, 2021, Teesside University. Co-Supervisor. Now: Research Fellow in industrial decarbonisation at the University of Leeds.

 Jin Xu, “System Identification and Control of Multi rial power converter”, 2022, Newcastle University. Co-Supervisor.

Xiang Lu, “Online Junction Temperature Estimation of SiC MOSFETs”, 2019, Newcastle University. Co-Supervisor.  

Cuili Chen, “Condition monitoring techniques for silicon IGBT modules in wind power application”, Newcastle University. Now: PostDoc Technical University of Munich.

Hamza Khalfalla, “Adaptive Proportional Resonate controller for single phase grid-connected PV Inverter based on Grid impedance estimation Technique”, Newcastle University, 2019. Co-supervisor. Now: Senior Lecturer- Tyne Metropolitan College.   

• University Star Award on Research Performance, Teesside University, 2019.
• Topic Editor: MDPI Energies Journal (September 2020-Ongoing).
• Associated Editor: IET Power Electronics (March 2018–January 2022).
• Best Paper Award: 57th IEEE International Universities Power Engineering Conference, UPEC, 2022.
• FHEA, Fellow of the Higher Education Academy, 2019.
• Guest Member of Staff: Newcastle University (March 2018–January 2022).
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• Co-Chair and Programme Chair of UPEC 2021 Conference.
• Organised Seminars/ Invited Talk:
• Invited Talk: Middle East Technical University, school of Engineering, “System Identification Techniques in Digital Control Design for DC-DC Switch Mode Power Converters”, 2022.
• Invited Keynote talk: 6^th IEEE Southern Power Electronics Conference (SPEC 2021), “Advanced Signal Processing, AIs and Machine Learning in Condition Monitoring, Prognostic and Diagnostic of Power Electronic Converters and Batteries”, 2021.
• Invited Talk: University of Leicester, School of Engineering, “Advanced Signal Processing, AIs and Machine Learning in Condition Monitoring, Prognostic and Diagnostic of Power Electronic Converters and Batteries”, 2021.
• Invited Speaker: International (Regional) Cooperation and Exchange Projects of National Natural Science Foundation of China (NSFC) and British Council/ Newton Fund; China-UK 2021, “Advanced Signal Processing, Als and Machine Learning for Battery Modelling and State Estimation”, 2021.
• Invited Seminar: Middle East Technical University, School of Engineering, “Advanced Signal Processing, AIs and Machine Learning in Condition Monitoring, Prognostic and Diagnostic of Power Electronic Converters and Batteries”, 2021.
• Invited Speaker: International Symposium on Automation, Information and Computing (ISAIC 2020); “System Identification Algorithms for Modelling and Advanced Control of Power Electronics Converters”; 2020.
• Invited Speaker: Online Conference on Digital Signal Processing (DSP) and Applications, DSP2020, “Signal Processing Techniques in Condition Monitoring and Control of Power Electronics Converters and Battery System”; 2020.
• Invited Speaker: in IEEE Industrial Electronics Society Egypt & Guadalajara Chapters Webinar, “Condition Monitoring of Lithium-Ion Batteries using Advanced Signal Processing Techniques”; 2020.
• Invited Talk: Technical University of Munich (TUM), “System Identification Techniques in Digital Control Design of Switch Mode Power Converters”; 2018.
• Invited Talk: University of Douhk, Faculty of Engineering and Applied Sciences, “LABVIEW- FPGA for Rapid Hardware Implementation”, 2013.
• Session Chair:
• 3^rd IEEE Internarial Future Energy Electronics Conference and ECCE Asia at Kaohsiung Center, Taiwan, June 2017.
• 26^th IEEE International Symposium on Industrial Electronics, Edinburgh, Scotland, UK, 2017.
• Guest Editor:
• Special issue “Powering Net Zero missions" MDPI-Electronics,2021.
• Special issue “Powering Net Zero missions" MDPI-Energies, 2021.
• Special issue “Reliability of WBG-Based Power Electronic Circuits in Electric Vehicles” MDPI-Energies 2020”.
• Special issue “Future Smart Grid Systems” MDPI-Energies,2020”.
• PhD External Examiner:
• Komal Saleem, for the thesis entitled “Battery Modelling and Control for Grid-Connected Electric Vehicle Applications under Abnormal Grid Conditions”. Queen Mary University of London, March 2022.
• Muhammad Sajjad Sabir Malik, for the thesis entitled “Online Monitoring of States of Charge and Health of Battery using Constrained Optimisation through Model Predictive Control”, Queen Mary University of London, 2021.
• Raed Ibrahim, for the thesis entitled “Advanced Techniques for Wind Turbine Condition Monitoring and Fault Diagnosis”, Loughborough University, 2019.
• Regular Reviewer: IEEE Transaction on Power Electronics, IEEE Transaction on Industrial Applications, IEEE Transaction on Industrial Electronics, IEEE Transaction on Circuits & Systems, IET Power Electronics Journal, IET Electronic Letter, IET Smart Grid, IEEE Transactions on Emerging Technologies.  

Module Samples:

Power Conversion for Energy Systems ENG-4021-N (Module leader, 2021–2022), Power Electronics-EAC4025-N (Module Leader, 2019–2020), Modelling and Control of Power Electronic Devices-ENG-3010-N (Module Leader, 2018–2022), Linear Systems and Control–EAC-2020–N (Module Leader, 2018–2022), Electrical Principles-ENG–1010–N (Module leader, 2018–2019), Electrical Drive System-EAC-3062-N (Module tutor, 2017–2018), Electrical Engineering Design and Implementation- EAC-3041–N (Module leader, 2017–2018).