What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Voltage
- Transformer
His scientific interests lie mostly in Voltage, Control theory, Harmonics, Smart grid and Electronic engineering.
Mohammad A. S. Masoum has included themes like Wind power and Automotive engineering in his Voltage study.
His study in Automotive engineering is interdisciplinary in nature, drawing from both Electric vehicle, Distributed generation and Simulation.
His Control theory research is multidisciplinary, incorporating perspectives in Maximum power point tracking, AC power, Fuzzy logic and Capacitor.
His study with Smart grid involves better knowledge in Electrical engineering.
Mohammad A. S. Masoum combines subjects such as Isolation transformer, Energy efficient transformer, Rotary variable differential transformer, Linear variable differential transformer and Delta-wye transformer with his study of Electronic engineering.
His most cited work include:
- Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile (786 citations)
- Closure on "Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power point tracking" (605 citations)
- Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation (311 citations)
What are the main themes of his work throughout his whole career to date?
Mohammad A. S. Masoum mainly focuses on Control theory, Electrical engineering, Voltage, Electronic engineering and Wind power.
The study incorporates disciplines such as Electric power system, Capacitor, AC power, Harmonics and Harmonic in addition to Control theory.
His Voltage study combines topics in areas such as Distribution networks, Automotive engineering and Photovoltaic system.
His work deals with themes such as Electric vehicle, Load management, Simulation and Voltage sag, which intersect with Automotive engineering.
The concepts of his Electronic engineering study are interwoven with issues in Power factor, Relay, MATLAB and Active filter.
His work on Induction generator as part of general Wind power research is frequently linked to Superconducting magnetic energy storage, thereby connecting diverse disciplines of science.
He most often published in these fields:
- Control theory (34.44%)
- Electrical engineering (27.41%)
- Voltage (25.93%)
What were the highlights of his more recent work (between 2016-2021)?
- Automotive engineering (14.44%)
- Smart grid (15.56%)
- Renewable energy (8.52%)
In recent papers he was focusing on the following fields of study:
Automotive engineering, Smart grid, Renewable energy, Demand response and Electrical engineering are his primary areas of study.
Mohammad A. S. Masoum combines subjects such as Electric vehicle, Energy management system and Electromagnetic coil with his study of Automotive engineering.
Mohammad A. S. Masoum interconnects Load management and Distributed computing in the investigation of issues within Smart grid.
His Renewable energy research is multidisciplinary, incorporating elements of Reliability engineering, IEC 61850 and Voltage.
When carried out as part of a general Voltage research project, his work on Low voltage is frequently linked to work in Plug-in, therefore connecting diverse disciplines of study.
His study in Photovoltaic system is interdisciplinary in nature, drawing from both Battery and Electric power system.
Between 2016 and 2021, his most popular works were:
- Hybrid Islanding Detection in Microgrid With Multiple Connection Points to Smart Grids Using Fuzzy-Neural Network (48 citations)
- Online Transformer Internal Fault Detection Based on Instantaneous Voltage and Current Measurements Considering Impact of Harmonics (27 citations)
- A New Vibration Testing Platform for Electronic Current Transformers (25 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Transformer
- Voltage
His main research concerns Smart grid, Energy storage, Automotive engineering, Demand response and Electrical engineering.
His Smart grid research is multidisciplinary, relying on both Testbed, Real-time computing, AC power and Microgrid.
His biological study spans a wide range of topics, including Distributed generation, Chaotic, Artificial bee colony algorithm and Photovoltaic system.
His Chaotic research includes elements of Reliability engineering, Flicker, Renewable energy and Voltage.
The study incorporates disciplines such as Heuristic and Dynamic pricing in addition to Automotive engineering.
In most of his Electrical engineering studies, his work intersects topics such as Vibration.
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