Faculty and Staff

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Prof. Amir J. Majid

Professor

College of Engineering and Technology

Contact

a.abdulmajid@ustf.ac.ae

+971506358678

Education

Ph.D. Loughborough University England, 1980
Major: Electrical Engineering/ Power and Control Engineering
M.Sc. Surrey University England, 1977
Major: Electrical Engineering/ Systems Engineering
B.Sc. Baghdad University Iraq, 1971
Major: Electrical Engineering/ Power

Employment History

Faculty member, 2018 - Present

University of Science and Technology of Fujairah, UAE

Faculty member, 2000 - 2018

Ajman University, Ajman, UAE

Faculty Member, 1998 - 2000

Al Bayan University, Abu Dhabi, UAE

Faculty Member, 1995 - 1998

American Asian University, Sharjah, UAE

Researcher, 1990 - 1995

Danish Technological Institute, Taastrup, Denmark

Researcher, 1986 - 1990

Danish Technical University, Lyngby, Denmark

Faculty Member, 1983 - 1986

Higher Institute of Electrical and Electronic Engineering, Hoon, Libya

Wireline Logging Engineer, 1980 - 1983

Schlumberger Int, East Hemisphere

Testing Engineer, 1975 - 1976

Wilson Engineering, Birmingham, England

Electrical power engineer, 1971 - 1975

National Electricity Grid, Iraq

Academic Experience

Job Rank	Place & Address of Work	Date
Faculty member	University of Science and Technology of Fujairah UAE	2018 - Present
Faculty member	Ajman University, Ajman UAE	2000 - 2018
Faculty Member	Al Bayan University, Abu Dhabi UAE	1998 - 2000
Faculty Member	American Asian University, Sharjah UAE	1995 - 1998
Faculty Member	Higher Institute of Electrical and Electronic Engineering, Hoon Libya	1983 - 1986

Research Areas & Interests

Power, Control, Renewable energy, MEMS, WSN, Education.

The Journal Publications in the Last Five Years

Articles (Selected)

Accuracy of wind speed forecasting based on joint probability prediction of the parameters of the Weibull probability density function. (SCOPUS), Q2. Front. Energy Res. 11:1194010, 08 September 2023. 2296598X doi: 10.3389/fenrg.2023.1194010

A Novel Method of Forecasting Chaotic and Random Wind Speed Regimes Based on Machine Learning with the Evolution and Prediction of Volterra Kernel {SCOPUS), Q1. Energies 2023, 16, 4766. Citation: Abdul Majid, A., A Novel Method of Forecasting Chaotic and Random Wind Speed Regimes Based on Machine Learning with the Evolution and Prediction of Volterra Kernels. Energies 2023, 16, 4766.

Forecasting Monthly Wind Energy Using an Alternative Machine Training Method with Curve Fitting and Temporal Error Extraction Algorithm (SCOPUS), Q1. Energies 2022, 15, 8596 https://doi.org/10.3390/en15228596 Academic Editors: Antonio Rosato, Received: 9 October 2022, Accepted: 15 November 2022, Published: 16 November 2022

Accurate and efficient forecasted wind energy using selected temporal metrological variables and wind direction. (SCOPUS), Q1.Energy Conversion and Management: X 16 (2022) 100286 Volume 16, December 2022, 100286

Wind energy forecasting by fitting predicted probability density functions of wind speed measurements. (SCOPUS), Q2. International Journal of Energy and Environmental Engineering https://doi.org/10.1007/s40095-022- 00475-8

Relaxing Method in the Evaluation of MPPT of Photovoltaic Cells Based on MIT Modeling, (SCOPUS), Q3. Mathematical Modelling of Engineering Problems, IJMM, Vol. 8, No. 1, February 2021, pp. 158- 164 Journal homepage: http://iieta.org/journals/mmep

The Evaluation of Wind Energy Based on the Inherent Nature of Wind Speed Assessment at Fujairah of UAE. (SCOPUS), Q3. Instrumentation Mesure Métrologie, IJIMM, Vol. 20, No. 3, June 2021, pp. 121-130 Journal homepage: http://iieta.org/journals/i2m

Economic Planning of the Operation of PV-Connected Distribution Network Using a Probabilistic Model for Extending the Network Lifetime. (SCOPUS), Q3. International Journal of Sustainable Development and Planning IJSDP, Vol. 16, No. 1, February 2021, pp. 97-103 Journal homepage: http://iieta.org/journals/ijsdp.

Scenarios of lifetime extension algorithms for wireless ad hoc networks. (SCOPUS), Q3. International Journal of Computer Networks & Communications, IJCNC, Vol. 12, No. 6, November 2020

Reliability and Failure Rate Evaluation of Lifetime Extension Analysis of Ad Hoc and Wireless Sensor Networks. (SCOPUS), Q3. Mathematical Modelling of Engineering Problems IJMMEP, Vol. 7, No. 3, September 2020, pp. 411-420 Journal homepage: http://iieta.org/journals/mmep

Lifetime Extension of Three- dimensional Wireless Sensor Networks, Based on Gaussian Coverage Probability. (SCOPUS), Q3. Journal Européen des Systèmes Automatisés JESA Published with (Vol. 54, No. 4, pp. 569-574), 31/8/2021. Journal homepage: http://www.iieta.org/journals/jesa/p aper/10.18280/jesa.540406

Algorithms of Wireless Ad Hoc Sensors in Robotics. Int. J. Robotics and Automation Engineering, IJRAE, Vol. 2018, Issue-01