Muntadher Ali

Senior Lecturer And Coordinator

Australia
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Summary

👤
Senior
🎓
Top School
Muntadher Ali is a results-driven engineer and educator with nine years of experience spanning telecoms, wireless sensor networks, and cybersecurity, currently lecturing and coordinating ICT courses in Australia. He blends hands-on R&D—patented field trials and LTSpice antenna models for underground wireless blasting systems—with practical lab work in network security, penetration testing, and cloud virtualization. Comfortable across C++, Python, SQL, PHP and networking tools (Wireshark, Packet Tracer, Nmap, MSF), he has delivered product architecture, tech transfer, and fiber/cellular designs for industry and telco clients. As a PhD-trained researcher in UAV-enabled communications and LTE/5G, he turns cutting-edge research into teaching material and student supervision. Notably, he pairs academic rigour with field-proven engineering—having moved prototypes from NI data acquisition benches into live underground and cellular testbeds.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor's of Science, Electrical, Electronics and Communications Engineering, Bachelor's of Science, Electrical, Electronics and Communications Engineering at University of Baghdad
bookThe University of Sydney
bookMaster of Science, Electrical, Electronics and Communications Engineering, 4/4, Master of Science, Electrical, Electronics and Communications Engineering, 4/4 at University of New Haven
languagesEnglish, Arabic
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Github Skills (34)

git-clone6
tensorflow6
python6
menpo5
sudo5
sysfs5
machine-learning5
unzip4
deep-learning4
cnn-model4
backend4
classification3
mobile-application3
ai3
convolutional-neural-networks3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:88 commits, 59 pushes, 2 branches in 7 months
TheAIDojo/Workshops

Dec 2021 - Mar 2022

This is the repository for The Machine Learning Workshops, published by AI DOJO. It contains all the workshop's code with supporting project files necessary to work through the code.
Contributions:7 commits, 55 pushes, 1 branch in 2 months
aimachine-learningdeep-learningtensorflowpython
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