mjahmadee Goto Github PK

followers: 92.0 following: 110.0 repos: 142.0 gists: 0.0

Name: Mohammad Javad Ahmadi

Type: User

Company: ARAS

Bio: AI & Data Engineer, Roboticist, and Control Engineer

Twitter: Xmjahmadi

Location: Tehran

Blog: https://mjahmadee.site123.me

Hi there 👋

💫 About Me:

Mohammad Javad Ahmadi was born in 1996 in Sari near the Caspian Sea in northern Iran. He graduated from NODET in 2015 with a Diploma GPA of 4/4 (20/20). He received his B.Sc. in Electrical & Control Engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2019 with a GPA of 3.9/4. Since 2019, he has been a part of ARASⒸ under the supervision of Prof. Taghirad and completed his M.Sc. with a GPA of 4/4. He is currently pursuing his Ph.D. in this group with a GPA of 4/4 (20/20). Robotics, Artificial Intelligence, and Computer Vision are his main favorite research topics. As a result of ARAS and Farabi Hospital's cooperation, he directs ARAS-Farabi AI and VR in Medical Robotics group.

💻 Tech Stack:

Property	Data
Language / IDE
Domain Knowledge
CI / CD
Tools & Platform
Machine Learning / Deep Learning frameworks

📊 GitHub Stats:

Note: The statistics are dynamic and represent the user's activity and proficiency on GitHub.

Mohammad Javad Ahmadi's Projects

5-dof-robot-arm

Building 5-DOF robot arm from designing and 3D printing of components to assembling and initial tests.

a-journey-into-convolutional-neural-network-visualization-

A journey into Convolutional Neural Network visualization

activitytrackingwithsensorfusion

I wrote my dissertation for my Computer Science degree on whether the accuracy of GPS tracking for sports activities (running, cycling, walking) could be improved using additional sensors found in a smartphone. Initially, I implemented a Kalman Filter to fuse the readings of each sensor, this was written in python and used popular libraries like NumPy. I then researched and taught myself the theory behind Recurrent Neural Networks (RNNs) in order to implement them using tensorflow and keras. This project was supported by the Oracle Innovation Accelerator program, who generously gave me access to a cloud compute instance.

adaline_madaline_network

Adaline and Madaline Network

aiinrobotics2024w

amirhosein-mesbah

anfis

Python implementation of an Adaptive neuro fuzzy inference system

anfisex

ANFIS with Gradient decendent and LSE approximation.

aphantasia

CLIP + FFT/DWT/RGB = text to image/video

aras_deeplearning_fw

ARAS-Farabi Experimental Framework for Skill Assessment in Capsulorhexis Surgery: The ARAS-Farabi Framework is designed to facilitate research in the area of skill assessment for Capsulorhexis surgery. This framework utilizes deep learning techniques for real-time performance in detecting and tracking the capsulorhexis cystotome and pupil.