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LloydAlston/README.md

About Me:

I'm a Master's student in International Automotive Engineering at THI Ingolstadt, specialising in Vehicle Safety. My background includes thermo-mechanical simulation of SiC power modules, autonomous systems research with ROS2, and hands-on prototyping with electrical drive systems. I have a published journal paper, a pending patent, and I enjoy working across the full stack from CAD and FEA to Python and real-time sensor integration.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python Windows Terminal LaTeX Markdown Anaconda Adobe Canva Matplotlib NumPy Pandas scikit-learn Scipy Git GitHub Arduino Raspberry Pi

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  1. Ambiguity---Aware-Driver-State-Recognition-Using-Multimodal-Sensing-and-LLM-Based-Reasoning Ambiguity---Aware-Driver-State-Recognition-Using-Multimodal-Sensing-and-LLM-Based-Reasoning Public

    Ambiguity-aware driver drowsiness detection using ROS2, IR camera, CARLA simulator, Qwen2.5-VL, and LLaMA 3.1 late-fusion reasoning.

    Python

  2. Evaluation-of-Patterned-Die-Attach-Layer-for-Stress-Reduction-in-SiC-Power-Electronics Evaluation-of-Patterned-Die-Attach-Layer-for-Stress-Reduction-in-SiC-Power-Electronics Public

    Thermo-mechanical reliability study of SiC power modules using ANSYS Workbench