Eliaz Selam EliazSelam

🎯 Who I Am

Electrical Engineer — Control Systems & Digital Signal Processing

I design and implement signal processing and control systems — from Z-domain analysis and observer design to real hardware validation. Mathematical rigor is non-negotiable: every result is validated, every model is grounded.

Applying the same systems-thinking lens to data & machine learning — from feature engineering to predictive modeling and beyond.

Active: State Estimation · MPC · Embedded C++ · ML fundamentals

"Control the system before it controls you."

🎬 Projects Overview

📌 Short video walkthrough coming soon — covering the S1 LFP pipeline, Digital Control Lab, and DSP Labs.

🛠️ Technical Stack

Languages

Control & Signal Processing

State-Space · Pole Placement · PID / LQR Z-Transform · Dead-Beat Observer FIR / IIR Filters · FFT · Sampling Theory

Embedded & Tools

Multisim · NumPy · pandas scikit-learn · Quanser

🚀 Featured Projects

🧠 THE S1 PROJECT — Motion Artifact Correction in LFP

Python | MATLAB | Signal Processing | Research Project

🕵️ Interactive Case File

A detective narrative — accessible to anyone, not just engineers.

The research presented as a story: suspects, evidence, and resolution. Visual, explorable, and built to communicate.

🔍 Open the Case →

⚙️ Engineering Pipeline

9-stage artifact detection & correction system (in-vivo LFP · 5xFAD mouse model):

Detection — RED/BLUE classifier · wavelet scalogram
Reference — TQWT (Q=4, 33 levels) + Butterworth filtfilt
Correction — CAR · Kalman · Khorasani adaptive
Benchmark — 13 variants · 1,508 obs · +6.31 dB, 2.61 µV

29 recordings · 52.6 s/rec · M3, no GPU 📂 Code →

Supervisor: Prof. D. Aboukssis · Ariel University

🔧 Digital Control Lab

MATLAB | Simulink | Control Systems

Lab experiments in classical & modern control:

Root Locus — 4 transfer functions, asymptote angles, gain selection
Lead compensator design — τ ∈ {0.4, 1, 2} sweep + closed-loop validation
State-space PID — ramp tracking via lsim (Ki=2.145, Kp=7.1)
PD control + DC motor model · observer estimation · saturation analysis

📡 DSP Labs

MATLAB | Signal Processing | Filter Design

Hands-on DSP experiments:

FFT spectral analysis — single, dual & composite tones (fs=8 kHz)
IIR Notch Filter — pole-zero at ω=π/4, radius r=0.9 vs r=0.99
FIR LPF — Hamming window design (N=30, wc=47π/124)
Interactive signal generator with frequency-band validation

⚖️ Inverted Pendulum — LQR on Quanser IP02

MATLAB | Simulink | LQR | State Feedback | Quanser IP02

Real hardware experiments — Quanser IP02 SIP (4-state linearised model):

TF analysis — motor inductance effect quantified → error = 2.41×10⁻⁷ (negligible)
PV vs PD — position controller design: Kp = 5408, Kv = 237.86
LQR sweep — optimal R/Q tuning via simulation (R=0.02, Q=diag([10 10 0 0.1]))
Hardware validation — real-time closed-loop: optimal Q=diag([35 35 0.1 0.1])

📊 GitHub Stats

🎯 Status

▶  Electrical Engineer — Control Systems & Signal Processing
▶  Building: real-time DSP pipelines · control algorithms · ML tools
▶  Expanding into: Data Engineering · Machine Learning · State Estimation
▶  Open to: Control / DSP / Embedded / Data & ML Engineering roles

Open to engineering roles in Israel · 📧 eliaz.es1234@gmail.com

_{Every commit is a step toward mastery.}

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