Passionate about ML-aided wireless systems, digital signal processing, and embedded engineering.
I'm Hamza, an MEng Computer Engineering student specializing in Communication Systems & Machine Learning.
I enjoy building intelligent systems, exploring deep learning architectures, and applying ML to wireless communications.
Always open to collaboration and new ideas!
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- MIMO / Massive MIMO
- RIS / IRS (Reconfigurable Intelligent Surfaces)
- Rayleigh & Rician Channels
- QPSK, QAM Modulation
- BER/SNR Performance
- ML-Based Detection (ZF, MMSE, ML Classifiers)
- Channel Modeling & Fading Analysis
- MATLAB/Python Simulation
- BER vs SNR curves (QPSK / 16-QAM)
- Rayleigh / Rician fading simulation
- 2Γ2 β 8Γ8 MIMO detection (ZF, MMSE, ML)
- Dataset generation (Rician)
- MLP / RF-based detection
- Heatmaps, confusion matrix, accuracy vs SNR
- UART TX/RX in Verilog
- RISC-V Single/Multi-Cycle/Pipelined CPU
- Ultrasonic Sensor System w/ LCD + Laser
π§ Email: hamzaalimorsi@gmail.com
π Location: St. Johnβs, NL β Canada
β Feel free to explore my repositories & connect!