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  • Texas A&M University
  • College Station, Texas

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Dino-Boooo/README.md

Hi, I'm Molly Kao 👋

Intelligent Sensing · Signal Processing · Computer Vision · Machine Learning


Coding

I build intelligent systems that perceive and understand people, from raw signals to machine learning and decision-making. My work spans millimeter-wave sensing, medical imaging, and 3D human motion analysis, combining sensing, signal processing, computer vision, and machine learning.

🔍 Research interests

• Intelligent Sensing & Signal Processing
Extracting reliable information from indirect and noisy measurements
• Computer Vision & 3D Perception
Understanding human motion and behavior from video and 3D data
• Adaptive & Human-Centered Systems
Systems that adapt to individual variation and changing measurements
• Multimodal Learning
Combining sensing, vision, and language for robust inference

🛠️ Tech Stack
C C++ Python MATLAB PyTorch OpenCV Linux Git


🌱 What I Value
Reliable systems · Rigorous evaluation · Interpretable models ·
Cross-disciplinary work that connects hardware, signals, and learning


📫 Connect with Me
Gmail LinkedIn Website

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  1. Fashion-MNIST-Model-Comparison Fashion-MNIST-Model-Comparison Public

    Compares two popular machine learning models - CNNs and LightGBM - and their effectiveness in image classification using the Fashion-MNIST dataset.

    Jupyter Notebook 1

  2. Benchtop-MRI-System Benchtop-MRI-System Public

    This project focuses on the design, construction, and application of MRI imaging instrumentation. It explores the architecture of an MR spectrometer and the gradient subsystem used for image locali…

    Python

  3. xoumyax/Breast-Cancer-Classification xoumyax/Breast-Cancer-Classification Public

    Mammogram Breast Cancer Classification Using Gray-Level Co-Occurrence Matrix and Support Vector Machine,

    Jupyter Notebook 1

  4. Metagenomic-Functional-Profiling Metagenomic-Functional-Profiling Public

    This repository contains code and data to evaluate DeepECtransformer, a transformer-based deep learning model, for metagenomic functional annotation. We benchmark its performance against traditiona…

    Python