Sara Aly - Computer Engineering Portfolio

Welcome! I am Sara Aly

I am a highly motivated Master's Student in Computer Engineering with a strong academic background and a passion for applying software engineering principles to solve real-world challenges. Experienced in algorithm design, system development, and software testing, eager to contribute innovative solutions in data structures, machine learning, embedded systems, and hardware design.

Programming Languages

Python Java JavaFX C C# C++ HTML CSS VHDL Verilog System Verilog MATLAB

Software Tools

Arduino IDE Microsoft Office Figma JIRA Confluence Azure DevOps NI Multisim Pspice Jupyter Google Colab Visual Studio Visual Studio Code GitHub Django Vivado Synopsys VCS

Database

SQL MySQL PostgreSQL Microsoft Access Microsoft Excel Power BI AWS RDS

Hardware

ARM7 LPC2148 Board Terasic DE10-Lite Xilinx FPGA board CMOS Beetle ESP32 - C3 Seeed Studio XIAO nRF52840 (Sense) ESP32 WROOM 32 Zedboard Zybo PCM1052A

Publications

Peer-reviewed work, thesis, and forthcoming publications in edge ML, distributed learning, assistive devices, and clinical ML. Links are included where a permanent publication URL is available.

S. Aly and S. Mirzaei

Hardware-Aware Edge Deep Learning for Multimodal Biomedical Monitoring on Resource-Constrained SoCs

IEEE International Conference on Healthcare Informatics (ICHI), 2026 Accepted Best Paper Award DOI forthcoming

Code

S. Aly

Hardware-Accelerated Deep Learning for Multimodal Biomedical Monitoring with On-Device Adaptive Learning on Resource-Constrained Edge Devices

M.S. Thesis, Department of Electrical and Computer Engineering, California State University, Northridge, 2026

CSUN ScholarWorks Thesis Page

M. Cho, S. Ali, M. Asadinia, L. Lai, and W. Xu

Distributed Dual Coordinate Ascent in a Ring Network for Distributed Machine Learning Process

2025 59th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2025, pp. 1806–1811 Accepted

DOI

P.L. Bishay, G. Funes Alfaro, I. Sherrill, I. Reoyo, E. McMahon, C. Carter, C. Valdez, N.M. Riyaz, S. Ali, A. Lima, A. Nieto, J. Tirone

The Foot Can Do It: Controlling the “Persistence” Prosthetic Arm Using the “Infinity-2” Foot Controller

Technologies, vol. 13, no. 3, p. 98, Mar. 2025

DOI (open access)

S.K. Abdelhakeem, Z.M. Mustafa, H. Kadhem

Diagnosing Parkinson's Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques

In Proc. 6th International Conference on AI & Virtual Reality (AIVR 2022), Springer Nature, pp. 49–60, 2023

Springer chapter

Sara Aly · Portfolio

Welcome! I am Sara Aly

Work Experience

Graduate Research Assistant

Research Assistant — ARCS Research Program

Research Assistant — MOSAIC Lab

Data Analyst Intern

AI/ML Engineer Intern

Teaching Assistant

Data Analyst

Marketing Intern

Projects

Edge Deep Learning for Biomedical Monitoring

GitHub Repository Analyzer

LLM Benchmark Dashboard

Education

Master of Science in Computer Engineering

Relevant Coursework

Bachelor of Science in Computer Engineering

Relevant Coursework

Publications

Hardware-Aware Edge Deep Learning for Multimodal Biomedical Monitoring on Resource-Constrained SoCs

Hardware-Accelerated Deep Learning for Multimodal Biomedical Monitoring with On-Device Adaptive Learning on Resource-Constrained Edge Devices

Distributed Dual Coordinate Ascent in a Ring Network for Distributed Machine Learning Process

The Foot Can Do It: Controlling the “Persistence” Prosthetic Arm Using the “Infinity-2” Foot Controller

Diagnosing Parkinson's Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques

Certifications & Activities

Professional Certifications

.Net Full Stack Foundation

Six Sigma White Belt

Adult and Pediatric First Aid/CPR/AED

Additional Certifications

Extracurricular Activities

The Honor Society of Phi Kappa Phi

IEEE-Eta Kappa Nu (IEEE-HKN)

ARCS Foundation