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@jacquesmsr
Flag of Malaysia Kuala Lumpur, Malaysia
Member since October, 2012
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jacquesmsr 

I am an electrical engineer and currently working as a Research Officer at Centre for Artificial Intelligence & Robotics, Universiti Teknologi Malaysia in the beautiful city of Kuala Lumpur.
$10 USD/hr
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Experience

Research Officer

Oct 2011

for more information you can check my personal website at:

Research Assistant

Jan 2011 - Sep 2011 (8 months)

for more information you can check my personal website at:

Education

Master of Engineering

2009 - 2010 (1 year)

Bachelor of Science

2004 - 2008 (4 years)

Certifications

? Postgraduate Best Student Award 2011 (2011)

Universiti Teknologi Malaysia

Received the Postgraduate Best Student Award 2011 as the best postgraduate student on March 2011.

? Earning a passing grade of A in successfully completing Circuits and Electronics 6.002x study course (2012)

MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT).

? Earning a passing grade of A in successfully completing Circuits and Electronics study course offered by MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT), 2012.

Gold medal (2004)

Ping-Pong State Competitions

Ping-Pong State Competitions

Bronze medal (2000)

Ping-Pong State Competitions

Ping-Pong State Competitions

Publications

A Novel Method for Optimal Placing Wind Turbines in a Wind Farm Using Particle Swarm Optimization (PSO)

In this paper, for the first time a particle swarm optimization (PSO) method is utilized to optimize placing of wind turbines in a wind park. The location of each wind turbine could be freely adjusted within a predefined cell in order to maximize the generated energy. Simulated results and graphs are carried out to prove that the present study is improved wind farm efficiency and extract more electrical power in respect of the total costs.

Designing Dynamic Controller and Passive Filter for a Grid Connected Micro-turbine

This paper presents a simulation model of electrical components of a grid connected 50 kW single shaft micro-turbine in MATLAB-simulink GUI environment. Micro-turbine consists of a PWM inverter to control the injected power to the load. Deploying micro-turbines with Combined Heat Power (CHP) capability make it so interesting to use in distributed generation. Employing DG creates an un-sinusoidal voltage waveform supplied to the load. Hence, a band pass filter is installed to provide acceptable sinus

A Complete Model of Stand-alone Photovoltaic Array in MATLAB-Simulink Environment

In this paper, a photovoltaic array has been modeled and developed for MATLAB-Simulink environment. The PVA model has been developed by basic circuitry equations of a photovoltaic array, considering the effects of ambient temperature, solar radiation and natural specifications of the photovoltaic cell. For evaluating the model, two different types of the loads have been utilized, a direct coupled DC load and an AC load via a three phase IGBT inverter. The proper matching circuits have been simulated

Development of Generator Aggregation Technique for Power System

This paper presents Generator Aggregation which is an important technique in power system analysis. This method relies on faults and variation of voltage in power transmission system. Voltage and frequency will vary when fault occurs in the power system. Fault study can be simplified by using generator aggregation. Inertia aggregation techniques which are based on processing assessment of the fault location in transmission lines are proposed in this paper. The generator aggregation is extracted from

Fuzzy Logic Based Pitch Angle Controller for Variable Speed Wind Turbine

This paper proposes a Fuzzy Logic based controller for implementing Active Pitch Angle Controller in horizontal axes wind turbine. A new improved model of wind turbine is presented. By using fuzzy logic based pitch angle controller, output power of wind turbine is regulated during extremely high wind speed. Based on its inputs, the controller has fast response which can decrease mechanical fatigues in wind turbine components. The proposed controller model has been successfully validated on Matlab/Si

A Hybrid Control Scheme for a Rotational Inverted Pendulum

This paper proposes the implementation of a novel controller based on a Recurrent Neural Network and PID controller for a Rotational Inverted pendulum. The objective of the controller is to determine the control strategy to stabilize the pendulum angle. Normally, the pendulum is a move towards an uncontrolled state. The Rotational Inverted pendulum by RNN controller and PID controller are analyzed in detail. This paper presents an investigation problem for stabilizing the RIP using Genetic Algorithm

Step By Step Analyzing, Modeling and Simulation of Single and Double Array PV system in Different Environmental Variability

This research analyses the mathematical model of the PV array with all the parameters involved, in the sequential steps. Then it is going to simulate the I-V and P-V characteristics of PV array in different climatology conditions, by using both MATLAB M-file and Simulink. Finally the capability of this method is demonstrated in simulated results, which are performed for both Single and Double Array PV system.

Designing Dynamic Controller and Hybrid Active Filter for a Grid Connected Micro- Turbine to Analyze the Harmonic Effects

In this paper a simulated model of a grid connected 50 kW single shaft micro-turbine is presented in MATLAB-Simulink environment. Since micro-turbine system needs a PWM inverter to control the injected power to the grid, employing that creates an un-sinusoidal voltage and current waveforms supplied to the load due to generated harmonics. Micro-turbines are attracting the global attentions recently to be used with Combined Heat Power (CHP) system distributed generation. Hence, existence of a filtering s

A HYBRID OF RECURRET NEURAL NETWORK (RNN) AND PI CONTROLLER FOR ROTATIONAL INVERTED PENDULUM

This paper proposes the introduction of a new controller based on a Recurrent Neural Network of neurons and a PI controller for a Rotational Inverted pendulum. The goal of the controller is the control strategy; determine to stabilize the pendulum angle. In general, the pendulum is a movement towards state control. The Rotational Inverted pendulum by RNN controller and PI controller are analyzed in detail. This paper presents an analysis of the problem for stabilizing the RIP using Genetic Algorithm (G

This paper proposes the introduction of a new controller based on a Recurrent Neural Network of neurons and a PI controller for a Rotational Inverted pendulum. The goal of the controller is the control strategy; determine to stabilize the pendulum angle.

This paper proposes the introduction of a new controller based on a Recurrent Neural Network of neurons and a PI controller for a Rotational Inverted pendulum. The goal of the controller is the control strategy; determine to stabilize the pendulum angle. In general, the pendulum is a movement towards state control. The Rotational Inverted pendulum by RNN controller and PI controller are analyzed in detail. This paper presents an analysis of the problem for stabilizing the RIP using Genetic Algorithm (G