1996 - IEEE Fellow For contributions to three-dimensional electromagnetic field computation and for the development of intelligent systems techniques for the optimal design of electromagnetic devices and systems.
Osama A. Mohammed spends much of his time researching Control theory, Electronic engineering, Microgrid, Electric power system and Control engineering. His Control theory research incorporates elements of Induction motor, Counter-electromotive force, Voltage and Wavelet transform. His Electronic engineering study incorporates themes from Power factor, DC-BUS, Fault detection and isolation, Voltage drop and AC power.
His studies in Microgrid integrate themes in fields like Distributed computing, Reliability, IEC 61850, Communications system and Fault. The study incorporates disciplines such as Demand forecasting, Network model, News aggregator and Capital cost in addition to Electric power system. His Control engineering research is multidisciplinary, incorporating elements of Maximum power point tracking, Reliability engineering, Photovoltaic system and Smart grid.
Osama A. Mohammed mostly deals with Electronic engineering, Control theory, Electrical engineering, Electric power system and Finite element method. His work in Electronic engineering addresses issues such as Microgrid, which are connected to fields such as Fault, Distributed generation and IEC 61850. His studies examine the connections between Control theory and genetics, as well as such issues in Stator, with regards to Direct torque control.
His work on Voltage, Boost converter, Inductor and Low voltage as part of general Electrical engineering study is frequently linked to Gallium nitride, therefore connecting diverse disciplines of science. His Electric power system research includes elements of Reliability engineering, Control engineering, Automotive engineering, Smart grid and Energy storage. His Finite element method research integrates issues from Transformer, Electromagnetic coil, Nonlinear system, Magnetic flux and Inductance.
The scientist’s investigation covers issues in Voltage, Control theory, Electrical engineering, Induction motor and Capacitor. His research integrates issues of Electric vehicle and Energy storage in his study of Voltage. His study in Energy storage is interdisciplinary in nature, drawing from both Energy management system, Electric power system and Direct current.
His Induction motor study combines topics from a wide range of disciplines, such as Finite element method, Stator, Magnetic flux, Inverter and Rotor. His biological study deals with issues like Microgrid, which deal with fields such as Relay, Islanding, Circuit breaker and Distributed generation. His Distributed computing research focuses on Energy management and how it relates to Smart grid.
Osama A. Mohammed mainly focuses on Voltage, Electric power system, Inductor, Capacitor and Electrical engineering. His work deals with themes such as Electric vehicle, Electronic engineering and Energy storage, which intersect with Voltage. His work carried out in the field of Electronic engineering brings together such families of science as Voltage multiplier, Electronic circuit, Transformer, Magnetic core and DC-BUS.
He has included themes like Distributed computing, Model predictive control, IEC 61850, Risk analysis and Smart grid in his Electric power system study. His work on High voltage and Low voltage as part of general Electrical engineering research is frequently linked to Semiconductor device, thereby connecting diverse disciplines of science. Osama A. Mohammed combines subjects such as Fault and Microgrid with his study of Telecommunications network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
DC microgrids and distribution systems: An overview
Ahmed T. Elsayed;Ahmed A. Mohamed;Osama A. Mohammed.
Electric Power Systems Research (2015)
Energy Storage Technologies for High-Power Applications
Mustafa Farhadi;Osama Mohammed.
IEEE Transactions on Industry Applications (2016)
A Survey on Smart Grid Cyber-Physical System Testbeds
Mehmet Hazar Cintuglu;Osama A. Mohammed;Kemal Akkaya;A. Selcuk Uluagac.
IEEE Communications Surveys and Tutorials (2017)
Real-Time Energy Management Algorithm for Plug-In Hybrid Electric Vehicle Charging Parks Involving Sustainable Energy
Ahmed Mohamed;Vahid Salehi;Tan Ma;Osama Mohammed.
IEEE Transactions on Sustainable Energy (2014)
Real-Time Energy Management Algorithm for Mitigation of Pulse Loads in Hybrid Microgrids
A. Mohamed;V. Salehi;O. Mohammed.
IEEE Transactions on Smart Grid (2012)
Practical experiences with an adaptive neural network short-term load forecasting system
O. Mohammed;D. Park;R. Merchant;T. Dinh.
IEEE Transactions on Power Systems (1995)
Optimal Charging of Plug-in Electric Vehicles for a Car-Park Infrastructure
Tan Ma;Osama A. Mohammed.
IEEE Transactions on Industry Applications (2014)
Laboratory-Based Smart Power System, Part I: Design and System Development
V. Salehi;A. Mohamed;A. Mazloomzadeh;O. A. Mohammed.
IEEE Transactions on Smart Grid (2012)
Optimal charging of plug-in electric vehicles for a car park infrastructure
Tan Ma;Ahmed Mohamed;Osama Mohammed.
ieee industry applications society annual meeting (2012)
Utilizing genetic algorithms for the optimal design of electromagnetic devices
G.F. Uler;O.A. Mohammed;Chang-Seop Koh.
IEEE Transactions on Magnetics (1994)
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