Information
Name: Ali Mohammadi
Position: Senior lecturer
Email: ali.mohammadi@usp.ac.fj
Phone: 9386891
Interest: Teaching and Research
Qualification: Doctor of Science in Electrical Engineering
Name: Ali Mohammadi
Position: Senior lecturer
Email: ali.mohammadi@usp.ac.fj
Phone: 9386891
Interest: Teaching and Research
Qualification: Doctor of Science in Electrical Engineering
Undergraduate Courses:
Control System Engineering, Mechatronics, power electronics and drive system.
Postgraduate Course:
Optimisations algorithme, Artificial neural network at université de technologie de belfortmontbéliard
Fuel cell, multi-physics modeling (electricity); Control, energy management, artificial neural network, renewable energy, fault detection and fault-tolerant control techniques and design of the smart grid
Members of an organization
2nd prize grant for Proton Exchange Membrane Fuel Cell (PEMFC) application for electric vehicles in Pacific countries from Cooperazion Italiana allo Sviluppo Ministero degli Affari Esteri e della Copperazion Internazionale (Government of Italy).
Workshop/Training:
Guest speaker : at INSA Lyon, France (2019-2020)
At the Department of Engineering, University of Palermo, Italy (2016)
MSc
1- Hydrogen Injection in Diesel Engine to reduce carbon emission, fuel consumption rate and increase engine efficiency. (MSc Student)
2- Development of a Standalone Hybrid Renewable Energy System for Rural Electrification By (MSc Student)
3- Design, modelling and control of Hybrid Fuel Cell System (MSc Student)
4- Integration of Electric Vehicle (EV) Charging Stations into Weak Grids
5- Fractional Control of the Speed in a High Performance Electrical Drive with Induction Machines: Comparison with Classical Control and Application to a Flywheel Energy Storage System (FESS).
6- Flywheel Energy Storage Systems Control Techniques for Enhanced Dynamical Response with Dynamical Torque Load Compensation
7- Design of Innovative Converters for Solar Wind Hybrid Systems Interconnected to Grid for Optimal Power Quality and Comparison with State of the Art
Ph.D
1- A Pneumatic – Fuel Cell Hybrid Propulsion System For Sustainable Sea Transport
2- Estimation parameter of super capacitor
3- Online Artificial Intelligence Based Diagnosis of Fuel Cell Systems