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$10 USD / hour
Flag of NLFlag of NL
zutphen,
netherlands
$10 USD / hour
It's currently 3:31 PM here
Joined March 20, 2020
3 Recommendations

Kazem M.

@kazemmojtama

monthly-level-three.svg
5.0 (19 reviews)
5.0 (19 reviews)
4.9
4.9
$10 USD / hour
Flag of NLFlag of NL
zutphen,
netherlands
$10 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
5%
Repeat Hire Rate

Electrical Engineering and Machine Learning

We're a motivated and experienced group of MSc and PhD student's in: ● Computer Science ● Electrical Engineering ● Control Systems ● Signals and Systems ● Economy Problems we can solve: ● Fuzzy Logic ● Neural Networks ● Neuro-Fuzzy Systems ● Kalman Filter and Smoother ● Design Controller ● Identification Systems ● Navigation Mobile Robots ● Path Planning Algorithms ● Robotics ● Deep Learning ● Reinforcement Learning ● Machine Learning ● Probability Statistics ● Time Series Prediction ● Digital Signal Processing ● Signals and Systems ● Sensor Networking ● Academic Writing ● Academic Research ● Simulation Papers Software skills: ● MATLAB/SIMULINK ● Python ● PLC/SCADA ● Proteus ● LATEX ● Eviews We have good program skill in MATLAB and Python. We're able to do your project's by high quality in a short time.
Freelancer
Matlab and Mathematica Engineers
Netherlands

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Portfolio Items

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone.
Kalman Filter
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone.
Kalman Filter
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone.
Kalman Filter
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone.
Kalman Filter
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone.
Kalman Filter
In this project, the quadcopter has tracked a rectangular path. In this simulation Back-Stepping Controller (BSC) and Unscented Kalman FIlter (UKF) are used.
Target Tracking
In this project, the quadcopter has tracked a rectangular path. In this simulation Back-Stepping Controller (BSC) and Unscented Kalman FIlter (UKF) are used.
Target Tracking
In this project, the quadcopter has tracked a rectangular path. In this simulation Back-Stepping Controller (BSC) and Unscented Kalman FIlter (UKF) are used.
Target Tracking
In this project, the quadcopter has tracked a rectangular path. In this simulation Back-Stepping Controller (BSC) and Unscented Kalman FIlter (UKF) are used.
Target Tracking
In this project, the quadcopter has tracked a rectangular path. In this simulation Back-Stepping Controller (BSC) and Unscented Kalman FIlter (UKF) are used.
Target Tracking
In this project, the navigation of a wheeled mobile robot is investigated. Feedback linearization (FL) controller and unscented Kalman filter (UKF) and extended Kalman filter (EKF) as estimators are used.
Wheeled Mobile Robots (WMRs)
In this project, the navigation of a wheeled mobile robot is investigated. Feedback linearization (FL) controller and unscented Kalman filter (UKF) and extended Kalman filter (EKF) as estimators are used.
Wheeled Mobile Robots (WMRs)
In this project, the navigation of a wheeled mobile robot is investigated. Feedback linearization (FL) controller and unscented Kalman filter (UKF) and extended Kalman filter (EKF) as estimators are used.
Wheeled Mobile Robots (WMRs)
In this project, the navigation of a wheeled mobile robot is investigated. Feedback linearization (FL) controller and unscented Kalman filter (UKF) and extended Kalman filter (EKF) as estimators are used.
Wheeled Mobile Robots (WMRs)
In this project, the navigation of a wheeled mobile robot is investigated. Feedback linearization (FL) controller and unscented Kalman filter (UKF) and extended Kalman filter (EKF) as estimators are used.
Wheeled Mobile Robots (WMRs)
In this project, the navigation of a wheeled mobile robot is investigated. Feedback linearization (FL) controller and unscented Kalman filter (UKF) and extended Kalman filter (EKF) as estimators are used.
Wheeled Mobile Robots (WMRs)
The purpose of this computer exercise is to track and disappear a moving object.
Video Processing
In this project we are going to process an audio signal.
Audio Processing
In this project we are going to process an audio signal.
Audio Processing
In this project we are going to process an audio signal.
Audio Processing
In this project we are going to process an audio signal.
Audio Processing
In this project we are going to process an audio signal.
Audio Processing
In this project we are going to process an audio signal.
Audio Processing
The inverted pendulum is simulated in the MATLAB environment. In this project, the angles of the first and second arms are equal to 240 and 0 degrees, respectively.
Inverted Pendulum

Reviews

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Showing 1 - 5 out of 19 reviews
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5.0
$150.00 USD
good work and on time and he was very attentive to all details and did superb work
Engineering
Matlab and Mathematica
Algorithm
Mechanical Engineering
Electrical Engineering
K
Flag of DE Kevin T. @kevthompson882
2 months ago
5.0
€120.00 EUR
I was amazed by how good and chill the communication was! Also the project completed for me is perfect!
C Programming
Python
Matlab and Mathematica
Algorithm
OpenCV
T
Flag of GR Theodoros P. @Thodorispch
3 months ago
5.0
£70.00 GBP
A wonderful and respectful person who did a good job and I highly recommend working with him. Thank you very much
Matlab and Mathematica
Machine Learning (ML)
Mathematics
Combinatorial Optimization
AI (Artificial Intelligence) HW/SW
R
Flag of GB Ruqey A. @ruqeyalhass
3 months ago
5.0
$100.00 USD
Great work and deliver task on time !
User Avatar
Flag of VN Son H. @PeterOliver887
3 months ago
5.0
$140.00 USD
He is extremely knowledgeable in the field of control systems and offered great insight into the topic.
Algorithm
Electrical Engineering
Mathematics
MATLAB
Control System Design
User Avatar
Flag of ZA Luka K. @its7luka
4 months ago

Education

Intelligent Control

Technische Universiteit Delft, Netherlands 2016 - 2018
(2 years)

Electrical Engineering - Control Systems

Universiteit Twente, Netherlands 2011 - 2015
(4 years)

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