• Senior Software Engineer

    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.

Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats

Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats A multi-modal machine learning system uses multiple unique data sources... Read more.
Automation, Data Science, Machine Learning, Projects, Publications
Sam Armstrong, Aaron Mullen 0

Who Gave that Robot a Nose? We did!

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... Read more.
Applications, Automation, Data Collection, Data Science, Machine Learning, Natural Language Processing, Projects
Sam Armstrong, Mahmut Gokmen 0

Redefining Diabetes Care: Inferring Blood Glucose Level from Breath

Redefining Diabetes Care: Inferring Blood Glucose Level from Breath Acknowledgments This project is a collaboration between the Center for Applied AI and the following... Read more.
Data Collection, Machine Learning, Projects
Sam Armstrong 0