I hold a Master of Science (M.Sc.) in Electronic Systems and a Bachelor of Science (B.Sc.) in Electronics & IT (Specialization in Control Engineering) from Aalborg University (AAU), Denmark.

My engineering background combines 5 years of Aalborg University's Problem-Based Learning (PBL) model with modern software engineering across five core disciplines:

• 💻 Software: Cross-platform application engineering (Dart/Flutter with native C++ FFI), backend and script engineering (Python, C#, Node.js, REST APIs), and databases (PostgreSQL, Supabase, SQLite, MySQL, InfluxDB). Creator of Grow A Fish on Google Play.
• 🤖 Automation: Industrial automation, PLC programming (IEC 61131-3 Structured Text), SCADA / ISA-101 high-performance HMIs, Autonomous Mobile Robots (MiR200), smart production testbeds (AAU 5G Smart Production Lab), and path planning (1st Place, AAU RoboCup Tournament; Predictive Collision Avoidance).
• 🎛️ Regulation (Control Engineering): Dynamic systems modeling and closed-loop feedback control: state-space MIMO control, discrete cascaded PID with anti-windup, LQR optimal control, and spacecraft attitude control (AAUSAT6 CubeSat ADCS & 3-DoF Satellite Simulator).
• 🎚️ Digital (DSP & Embedded Systems): Digital signal processing (LMS, NLMS, RLS adaptive filters, FastICA, STFT, Mel-spectrograms), parametric spectral estimation, sensor data fusion (EKF/UKF/MEKF), and embedded firmware (C/C++, FreeRTOS, Cypress PSoC 5LP, ATmega2560).
• 📡 Kommunikation (Communication & Networks): Telemetry and industrial network protocols: Modbus TCP, MQTT message brokering, real-time WebSockets, Ultra-Wideband (UWB) RF positioning, bus architectures (CAN bus, I2C, SPI, UART, RS485), and cryptographic communications (X25519 ECDH + AES-256-GCM).

• AI/ML & Signal Processing Engineer (Internship / Thesis R&D) — Ai Health Highway (Sep 2024 – Jun 2025)
  • Developed real-time signal enhancement algorithms for AiSteth smart stethoscopes using adaptive filtering (LMS, NLMS, RLS) and Blind Source Separation (FastICA) to cancel ambient acoustic interference.
  • Preserved crucial low-frequency cardiac valve sounds ($S_1, S_2$) and murmurs, improving SNR by up to +34 dB.
  • Collaborated with international research teams to validate screening models for cardiovascular and pulmonary conditions under medical-grade diagnostic constraints.
• IT & Web Developer (Volunteer) — Dawah Danmark (Jan 2026 – Present)
  • Modernized and optimized platform performance, database integration, and reliability.

A suite of 9 real-time mathematical digital twins, physical modeling testbenches, and interactive simulators tailored to Denmark's flagship engineering leaders:

Published Commercial Mobile Game & Real-Time Multiplayer Ecosystem
Pillars: Software • Kommunikation • Digital
Stack: Flutter • Flame Engine • Bonfire RPG • Dart FFI & C++ SoLoud • Supabase Realtime • Hive NoSQL • X25519/AES-GCM

• Architecture: Engineered an end-to-end mobile game (330+ modules) published on Google Play.
• Deterministic Networking: Formulated deterministic seed-based procedural level generation to eliminate mobile multiplayer jitter and bandwidth overhead.
• Low-Latency Native Audio: Integrated the SoLoud C++ audio engine via Dart FFI with custom LRU caching and auto-recovery to eradicate Android audio latency.
• Hardware-Backed Cryptography: Implemented client-side End-to-End Encrypted (E2EE) chat using X25519 ECDH key exchange and AES-256-GCM.
• View Full Case Study → • Google Play Store →

Master's Thesis in Electronic Systems • Aalborg University
Pillars: Digital (DSP) • Software (Python/MATLAB)
Stack: MATLAB • Python • Adaptive Filters (LMS, NLMS, RLS) • FastICA • Mel-Spectrograms • STFT • In collaboration with Ai Health Highway

• Core Research: Developed real-time active acoustic noise cancellation algorithms to isolate physiological stethoscope signals from ambient hospital interference.
• Mathematical Formulations: Implemented and benchmarked Least Mean Squares (LMS), Normalized LMS (NLMS), Recursive Least Squares (RLS), and FastICA source separation.
• Empirical Validation: Demonstrated up to +34 dB SNR improvements across synthetic and physical acoustic chamber testbeds while preserving critical cardiac murmur frequencies.
• View Thesis Repository →

Master's Project (Semester 8) • Systems of Systems & Space Engineering • Aalborg University
Pillars: Regulation (Control) • Digital • Kommunikation
Stack: MATLAB • Orbital Dynamics • B-dot Detumbling • LQR Target Tracking • Momentum Wheels • $H_\infty$ Robust Control

• Satellite Mission: Designed the flight control and stabilization architecture for the AAUSAT6 CubeSat in Low Earth Orbit (LEO).
• Control Modes: Implemented magnetic B-dot detumbling using magnetorquers to eliminate launch tip-off spin, LQR state-feedback with integral action for Nadir/Target pointing via momentum wheels, and robust $H_\infty$ controllers to reject aerodynamic and solar radiation disturbance torques under uncertainty.
• View AAUSAT6 Repository →

Bachelor's Project (Semester 6) • Electronic Systems & Control Engineering • Aalborg University
Pillars: Regulation (Control) • Automation • Digital (Embedded)
Stack: Embedded C/C++ • Arduino Mega 2560 (ATmega2560) • PlatformIO • Cascaded PID • Discrete Signal Processing

• Physical System: Derived Newtonian dynamic models for the hoisting block, trolley, and pendulum. Linearized models for frequency-domain transfer functions.
• Control Design: Designed 3 discrete PD controllers (crane head Y-pos, trolley X-pos, head sway angle $\theta$), matched via Sensetools parameter tuning to physical step-response benchmarks.
• Firmware Implementation: Wrote low-level C++ firmware with discrete low-pass filtering, Forward Euler velocity estimation, actuator current saturation limits, and anti-windup.
• View Crane Control Repository →

AAU 5G Smart Production Lab • Industrial IoT & Autonomous Robotics
Pillars: Automation • Kommunikation • Software
Stack: Python • Multi-Threading • Ultra-Wideband (UWB) • Computer Vision (CV) • MQTT • InfluxDB • MATLAB

• Sensor Fusion Hub: Fused real-time spatial telemetry from active UWB RF tags, overhead Computer Vision tracking, and Autonomous Mobile Robots (AMRs / MiR200).
• Concurrency & Safety: Engineered a 9-thread concurrent processing engine in Python with mutex synchronization, proximity breach warnings, and an alarm exemption engine for tagged payloads.
• Analytics: Integrated InfluxDB v2 time-series storage and developed empirical Cumulative Distribution Function (CDF) statistical accuracy models.
• View Positioning Repository →

Master's Project (Semester 7) • Control of Manipulators • Aalborg University
Pillars: Regulation (Control) • Digital (Embedded) • Kommunikation
Stack: MATLAB • Simulink • FreeRTOS • Cypress PSoC 5LP • Spherical Air Bearing • MEKF Sensor Fusion

• Experimental Testbed: Designed Center-of-Mass (CoM) auto-balancing algorithms for a 3-DoF spherical air-bearing satellite simulator.
• State Estimation: Formulated Multiplicative Extended Kalman Filters (MEKF) fusing IMU rate gyros, accelerometers, and 3-axis magnetometers.
• Embedded Control: Developed real-time FreeRTOS C tasks on Cypress PSoC 5LP for automated stepper counterweight actuation.
• View Calibration Repository →

Master's Project (Semester 7) • Advanced Control Engineering • Aalborg University
Pillars: Regulation (Control) • Software (MATLAB)
Stack: MATLAB • MIMO State-Space • LQR Optimal Control • Kalman Filter Observer • Decoupling

• Chemical Process: Modeled non-linear binary distillation dynamics (Wood-Berry column benchmark).
• MIMO Regulation: Designed optimal Linear Quadratic Regulators (LQR) with integral tracking and steady-state decoupling to eliminate cross-channel product impurity disturbances.
• View Distillation Repository →

• Email: elomarjc@gmail.com
• LinkedIn: linkedin.com/in/jacob-el-omar
• Google Play: El-Omar Studio
• Location: Aalborg, North Denmark (Nordjylland)