Matlab/Python programming code to solve equation from CSV file/sheets.
“Excellent, he is expert in MATLAB, done all the works efficiently and timely. happy to work with him again...”Nizam A. 3週間前
MATLAB DATA Concatenation or Merge
“Data concatenation task is completed satisfactorily I am willing to hire him next time.”Muhammad T. 3週間前
Image and data programming for python
“Really good work produced for the project, he was very honest and communicated well about the work he produced. Did it very well the specifications given and the time frame stated, and would recommend him highly for any job. Austin McAdam”Austin M. 3週間前
KNN MNIST with HOG feature
“Delivered on time and [login to view URL] you”Shadman M. 3週間前
Machine learning project
“Muhammad is a very impressive man, very strong in data processing, with a very good communication. I loved working with that guy”Mathieu K. 4週間前
Signals and systems Analysis
“He tried hard to complete the project but it was not completed and I missed my deadline.”Abdul W. 4週間前
Research AssistantJan 2018
I am working a project which involves object tracking and localization using live video feed from camera which will be used to help visually blind people.
Research AssistantApr 2017 - Sep 2017 (5 months)
I was involved in development of a portable, remote respiratory and physical activity monitoring system.
MS Electrical Engineering (Signal Processing and Machine Learning)2016 - 2018 (2 years)
BS Telecom2012 - 2016 (4 years)
Neural Networks and Deep Learning (2018)Coursera
Automatic classification of Atrial Fibrillation from single-lead ECG signals using DCT
Automated differentiation between Normal rhythm and Atrial fibrillation using single-lead ECG signals is a challenging problem under noisy conditions and motion artifacts. In this paper we will exploit discrete cosine transform to design signal processing and machine learning algorithms for automated classification of Normal Rhythm, AF and other sinus rhythms based on single-lead ECG signals.
Preferred Freelancer Program SLA87%
US English Level 175%