Omar Mohammed

Omar Mohammed

Hardware design focused EE student. FPGA accelerators, embedded firmware, PCB design.

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Projects

FPGA Neural Network Accelerator

In progress

I'm mapping CNN and Mamba RNN models onto AMD Versal FPGAs to run power-efficient inference. The work covers two fronts: RF signal detection and building energy modeling.

Vitis AIVitis HLSVivadoC++/HLSVerilog

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Flood Detection Sensor PCB

A battery-powered flood monitor for urban areas. It does thermal imaging, environmental sensing, and pushes data over LoRa.

KiCadPCBLoRaWAN
GitHub

SOQ v1

A Kinect-audio tracking system that estimates sound direction from the mic array.

C++PythonDSP
GitHub

Skills

FPGA / RTL
Vivado Vitis AI Vitis HLS VHDL SystemVerilog
Languages
Python C C++
PCB
KiCad

CHaRTS Research Lab · Syracuse University · Summer 2025

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Custom 2-layer PCB for a battery-powered flood monitoring system. Integrates a FLIR Lepton thermal camera, BNO055 IMU, mDot LoRaWAN radio, and Witty Pi 4 power management for remote urban deployment.

First PCB I designed. Taught myself KiCad and went from schematic to fabrication-ready Gerbers in a few weeks. Mentored by Dr. Elizabeth Carter and Manu Shergill.

Board 2-layer, 0.25mm signal / 0.5mm power traces
Power 3.3V + 5V rails, Witty Pi 4 power management
Comms LoRaWAN (mDot module), I²C, UART
Sensors FLIR Lepton thermal camera, BNO055 IMU
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Personal project · 2025

Live dashboard that tracks the direction of an audio source in real time using the four-microphone array on the Kinect 360. Beamforming and time-of-arrival across the array feed an angle estimate, surfaced as a live indicator on screen.

Input Kinect 360 4-mic array
Signal TDOA + steered-response beam-forming
Stack C++ DSP core, Python visualization
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