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Algorithm
Arduino
Data Mining
Matlab and Mathematica
Python
5.0
(4 reviews)
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$20 USD / hour
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alwakrah,,
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$20 USD / hour
It's currently 4:01 AM here
Joined January 26, 2019
0 Recommendations

Jalalaldin A.

@MedaniAhmed

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5.0
(4 reviews)
5.0
(4 reviews)
3.5
3.5
$20 USD / hour
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alwakrah,,
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$20 USD / hour
100%
Jobs Completed
79%
On Budget
100%
On Time
25%
Repeat Hire Rate

Machine learning / Data Sceince / Matlab developer

Hi there... Ahmed Medani Ahmed is a high-skilled passionate and master degree holder in Biomedical engineer, with over three years of research and development experience along with strong programming experience in MATLAB, python, tensorFlow and other development environments. Highly motivated, self-disciplined, confident and assertive. I'm a MATLAB / python programming professional in many areas of the field including: 1 - Computer Aided Detection / Diagnosis (CAD / CADx) systems 2 - Classification, clustering, and other Machine Learning related projects. 3 - Image, video and signals processing in MATLAB including medical Image Processing 4 - Graphical User interfaces (GUI) design. 5 - long experience in Arduino and microcontroller circuits design and programming 6 - I can also offer some help in research papers writing. Thank you for viewing my profile Best regards
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Portfolio Items

Throughout my work I always meet face recognition project, so far, I've designed and implemented many facial recognition systems from various databases some of them are well recognized databases as ORL and some from custom datasets / video databases and using various algorithms starting from shallow to deep neural networks, SVMs KNNs and other classification algorithms
Face recognition systems
Project Full Title
Multi-parameter microcontroller based patient monitor with graphical display and ECG simulator.

The Project Objective:
Is to design a real time system that can measure the ECG, heart rate, SPO2, body temperature and blood pressure. 

My role 
Master Course project, to develop the system fully. it consisted of many connected microcontrollers and master controller that has the system display attached to it. Also it had a real time ECG simulator that produces a signal that mimics human ECG, it was embedded for calibration 

The Overall Success: 
The real time systems are sometimes parameterized with their refresh rate, which is the speed of updating the results and my system had 0.5 Seconds for the overall system parameters, except for the blood pressure because it consumes long time to produce a single reading (nearly 40s), but, still the result was very good result for such a small system
Multi-parameter microcontroller based patient monitor
The Project Objective:
The project was my B.Sc graduation project, the main objective was to develop a full computer aided detection system to detect and classify the breast lesions.

My role 
Was to develop a full algorithm that has a preprocessing step, segmentation with 3 techniques, feature extraction and finally a classification with 3 methods and compare the result and then build a graphical user interface to help users work on the system

The Overall Success: 
The project was successful in each individual step, we reported in the thesis that the overall system's accuracy was 87.9%.
Breast Tumors CAD system
Full Project Title:
MRI Brain Images Classification Using hybrid ANNs regression model and support vector machines.

The Project Objective:
The Goal of the project was to study MRI images classification, we ended up developing a neural network regression model combined with support vector machines .

My main role in the project was to develop and test the support vector machine with the team. The success measure in this project is the overall accuracy of the model and we scored 92% in the test
MRI brain images classification
Coursera is one of the largest websites that provides high quality online education all over the world, and, I've joined their translation community to help localize courses for Arab students
Coursea.org translation community
Project description 
This project was executed to classify the normal knees against the OA knees.

The system was developed with many classifiers to combine their respective results for better decision making process about the final result.

Finally a graphical user interface was put there to facilitate the interaction with user
Knee MRI images CAD system

Reviews

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Showing 1 - 4 out of 4 reviews
Filter reviews by: 5.0
$200.00 USD
perfect work done once again by Ahmed
Python
Matlab and Mathematica
Algorithm
Data Mining
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Arduino
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Flag of PK Muhammad Asad I. @nycer847
3 months ago
5.0
$200.00 USD
Ahmed had completed the project successfully and within provided timeline. He is an experienced guy and had great skills. I will definitely hire him again for my next project. highly recommended
Python
Matlab and Mathematica
Algorithm
Hire me
Arduino
Arabic
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Flag of PK Muhammad Asad I. @nycer847
5 months ago
5.0
£89.00 GBP
We had some delays but honestly he was following up most of the times. I will hire him again he is knowledgable and knows in different areas
Python
Matlab and Mathematica
Algorithm
Electrical Engineering
Circuit Design
L
Flag of GB Lorans A. @LoransIEEE
6 months ago
5.0
€40.00 EUR
He is very good at work. He delivered my project on time. He put extra security features in my project. I will definitely hire again for similar works. Very nicely done. He is a very good person and a very polite person.
Python
Matlab and Mathematica
MATLAB
User Avatar
Flag of IE Rohit J. @jainrj19
1 year ago

Experience

Researcher | Course lecturer | Developer

EAEU.EDU
May 2016 - Present
A university staff who is mainly interested in biomedical Engineering

Education

Master of Science in Biomedical Engineering

Qatar 2017 - 2019
(2 years)

Qualifications

Introduction to Electronics

Georgia Institute of Technology on Courser
2017
Date Awarded:6/Feb/2017 Verify at: Coursera.org/verify/7NVRLKWEN7VS

Neural Networks for Machine Learning

Toronto University on Coursera.
2017
Date Awaded: 2/Apr/2017 Verify at: Coursera.org/verify/7HPG8MWLD7JL

Fundamentals of Digital Image And Video Processing

Northwestern University on Coursera
2017
Date Awarded: 28/Jul/2017  Verify at: Coursera.org/verify/VRGZ8BYBGHQR

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