• Sam Armstrong

    Education:
    M.S. 2023, Computer Science, University of Kentucky, Lexington, Kentucky
    B.S. 2021, Computer Science, University of Kentucky, Lexington, Kentucky

    As a computer scientist, I aim to enhance the effectiveness of interactions between humans and machines by leveraging different areas of AI.

    In my current role, I am a software engineer/researcher in the UK Center for Applied Artificial Intelligence (CAAI) and lead a team of research developers. My research interests include LoRaWAN for medical applications, smell/VOC detection and classification, and virtual assistants. I am passionate about leveraging my technical skills to contribute to the healthcare industry and improve patient care. I work closely with clinicians and healthcare researchers to develop and implement innovative solutions that address complex healthcare challenges.

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Who Gave that Robot a Nose? We did!

In late 2023, we purchased a robot called the temi 3 (available here). This robot features a large touch screen, LIDAR for obstacle avoidance, and text-to-speec... Read more.
Applications, Automation, Data Collection, Machine Learning, Natural Language Processing, Projects

Redefining Diabetes Care: Inferring Blood Glucose Level from Breath

Acknowledgements This project is a collaboration between the Center for Applied AI and the following researchers: Dr. Yuan Wen (Institute for Biomedical Informa... Read more.
Machine Learning, Projects