Maher Al-Greer

I received the PhD degree in 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. 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 still Guest member of staff at school of Engineering, Newcastle University. 

My research interests lie in a range of multidisciplinary areas including Battery characterisations and control, Power electronic converters design and control, smart grids, Renewable energy generations modelling, control and optimizations, Fault monitoring and detection, Fuzzy logic and Artificial intelligence. My goal is to translate these into scalable and practical solutions to emerging challenges in energy systems such as renewable energy, battery system, intelligent on-chip power modular, energy informatics and management. I am broadly interested in the AIs algorithms in energy management and advanced control methods of power applications; most recently on batteries state estimation, monitoring, and control. Moreover, I am interested in the reliability of power electronic converters based on emerging Wide-band gap (WBG) devices using intelligence techniques and the challenges that arise when power converters are connected to the power application systems (eg. EV applications, renewable energy interface with the grid, storage system).

o Signal Processing Techniques for Adaptive Battery Modelling and Health Monitoring, corn seed research funding, Teesside University, (PI, £6K), 2018.

o Intelligent Flexible Ultrasonic Sensing Technologies for Battery Health and Life Monitoring, corn seed research funding, Teesside University, (CI, £9K), 2019.

o Town & Country Hybrid Powertrain (TC48), Innovate UK (Research Associate, Newcastle University, £562,121, total: £1,128,776).

PhD Students

Ma'd El-Dalahmeh (Battery Degradation Diagnosis Using Advanced Signal Processing), Teesside University 

Moat'h El-Dalahmeh (Battery lifetime Identification Using Machine Learning ), Teesside University 

Ahmed Fakhri  ( The impact of Calendar Battery Degradation on the Capacity Market), Teesside University

 Jin Xu  ( System Identification and Control of Multi rial power converter) , Newcastle University

Xiang  Lu ( Online Junction Temperature Estimation of SiC MOSFETs ) , Newcastle University. 

Cuili Chen ( Condition monitoring techniques for silicon IGBT modules in wind power application ), Newcastle University. Pass 

Hamza Khalfalla ( Adaptive Proportional Resonate controller for single phase grid connected PV Inverter based on  Grid impedance estimation Technique) , Newcastle University. Pass 

Currently, I am doing research to develop an advanced signal processing algorithms and digital control techniques in Battery System Modelling/Degradation, Reliability of Power Devices and Intelligent Control of Power Converters. Therefore, I am looking for talented and self-motivated researchers to work on this research profile. If you are interested, don’t hesitate to contact me.

Guest Member of Staff, School of Engineering, Newcastle University. 

Editorial Board Member:

Associate Editor of IET Power Electronics, March 2018 - present.

Journal & Conference Activities:

• Session Chair of 2017 IEEE 3rd Internarial Future Energy Electronics Conference and ECCE Asia at Kaohsiung Center in June 2017.
• Session Chair of 2017 IEEE 26th IEEE International Symposium on Industrial Electronics, Edinburgh, Scotland, UK, June 2017.

Regular Reviewer in the following journals:

• IEEE Transaction on Power Electronics.
• IEEE Transaction on Industrial Applications.
• IEEE Transaction on Industrial Electronics.
• IET Power Electronics Journal.
• IET Electronic Letter.

Membership of Organizations:

• Member of the Institute of Electrical and Electronics Engineers (IEEE, 2107).
• Member of IEEE Power Electronics Society (2017). 
• Member of IEEE Smart Grid Society.
• Member of International Association of Engineers (IAENG, 2015 - Present).

Module Samples:

o   “  Power Electronics ", EAC-4025-N, (module leader-tutor) 

o   “ Modelling and Control of Power Electronic Devices", ENG-3010-N, (module leader-tutor) 

o “Electrical Drive System (tutor)”

o “Electrical Engineering Design and Implementation” (module leader- tutor)

o “Electrical Principles, ENG-1010-N (module leader- tutor)”

o “ Linear Systems and Control, EAC2020-N (module leader-tutor)

o “Digital Signal Processing (module leader-tutor)”

o “Control Systems (module leader-tutor)”

o “Digital Signal Processing Theory Based on FPGA (module leader-tutor)”