Rate My Professor Adam Hoover

Hoover's research focuses on novel artificial intelligence methodologies for next-generation wearable health devices, including analysis of long-term human behavior patterns to improve event detection, personalized AI for better behavior predictions and health outcomes, and reliable data labeling from daily activities. His expertise spans computer vision, embedded computing, bioinformatics, image and signal processing, and deep learning; his group builds sensor-based embedded systems to prototype health monitoring ideas and curates large public datasets. He authored the textbook System Programming with C and Unix (Addison-Wesley, 2009) and contributed chapters to Advances in the Assessment of Dietary Intake (CRC Press, 2017) and Mobile Health (Springer, 2017). Key publications include "Detecting Eating Episodes From Wrist Motion Using Daily Pattern Analysis" (IEEE Journal of Biomedical and Health Informatics, 2023), "An explanation for the accuracy of sensor-based measures of energy intake" (Appetite, 2024), and "Top-Down Detection of Eating Episodes by Analyzing Large Windows of Wrist Motion Using a Convolutional Neural Network" (Bioengineering, 2022). Hoover has earned the Clemson University Research, Scholarship and Artistic Achievement Award (2018), Harris Teaching Awards (2020, 2011), Faculty Collaboration Award (2009), Murray Stokely Award for Excellence in Teaching (2006), and NASA Florida Space Grant Consortium Graduate Fellowship (1993-1996). A Senior Member of IEEE, he is an Associate Editor for the IEEE Journal of Biomedical and Health Informatics and co-founder of two startups based on his research.