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Arman-Rajaei/README.md

Hi, I'm Arman

I'm a Biomedical Signal and Imaging Engineer working at the intersection of signal processing, computational imaging, and scientific computing.

My work focuses on transforming complex biomedical signals and imaging data into reliable computational pipelines for image reconstruction, quantitative analysis, and system prototyping. I build and deploy end-to-end processing systems that convert raw measurements into interpretable and robust outputs for research and real-world applications.


🔬 Core Expertise

  • Biomedical signal processing and computational imaging
  • Spectral-domain OCT and 3D volumetric reconstruction
  • Numerical methods, inverse problems, and system modeling
  • Scientific computing in Python, MATLAB, and C++
  • High-performance data processing and pipeline optimization
  • Quantitative analysis and feature extraction from biomedical data

📡 Signal Processing & Control Systems

🔹 Spectral-Domain OCT 3D Pipeline
       Advanced reconstruction image and signal processing pipeline, including FFT, dispersion compensation, and volume processing

🔹 Digital PLL – I/Q Phase Detector
      Visual and mathematical exploration of digital PLL, NCO, and phase convergence analysis

🔹 Kalman Filter Actuator Simulation
      State estimation, system modeling, and simulation


📊 Data Science & Machine Learning

🔹 Vehicle Market Value Intelligence
      Data-driven pricing engine for used car inventory using regression analysis, OLS diagnostics, and feature engineering

🔹 Customer Behavior Prediction Engine
      Deep learning classification pipeline predicting customer return probability from 2 years of behavioural and engagement data

🔹 Biomedical Signal Clustering
      Pattern extraction, clustering, and feature analysis


🤖 AI & Machine Learning

🔹 Reinforcement Learning – Biped Robot Control
🔹 LLM-based Sentiment Analysis
🔹 CNN-based Image Processing Experiments
      Deep learning CNN framework in PyTorch for monocular depth estimation with metric-scale mapping.


⚙️ High-Performance & GPU Work

  • CUDA-accelerated signal processing kernels
  • Memory-optimized FFT workflows
  • Large-scale 3D biomedical volume handling

🛠️ Languages & Tools

Languages
Python MATLAB C++ CUDA

ML & Data
PyTorch scikit-learn NumPy SciPy pandas

Imaging & Signal
OpenCV Matplotlib seaborn

Hardware & Interfaces
NI-DAQmx NI-IMAQ NI-VISA

Dev Tools
Git Jupyter VS Code


📌 Current Focus

  • High-performance signal processing
  • Research-to-production translation
  • Applied ML for biomedical and sensing systems

📫 Connect with me

Pinned Loading

  1. sar-signal-processing-simulation sar-signal-processing-simulation Public

    Synthetic radar-like signal simulation and denoising using MATLAB

    MATLAB 3

  2. kalman-filter-actuator-simulation kalman-filter-actuator-simulation Public

    Signal Processing Implementation for Sensors and Actuators Using Kalman Filters

    Jupyter Notebook

  3. predictive-modeling-clinical-outcomes predictive-modeling-clinical-outcomes Public

    Multivariate time-series modeling for patient risk prediction and unsupervised physiological state discovery

    Jupyter Notebook

  4. monocular-depth-estimation monocular-depth-estimation Public

    Monocular Depth Estimation using a lightweight CNN and PyTorch

    Jupyter Notebook

  5. OCT-A-Scan-Processing-MATLAB OCT-A-Scan-Processing-MATLAB Public

    MATLAB implementation of a spectral-domain OCT A-scan processing pipeline using synthetic data.