Adam Hoover, Ph.D.
Professor
Associate Department Chair
Holcombe Department of Electrical and Computer Engineering
Clemson University
Clemson, SC 29634-0915
U.S.A.
E-mail: ahoover@clemson.edu
Phone: 864-656-3377 (office)

Biographical Sketch

I received a BS (1992) and MS (1993) in Computer Engineering, and a PhD (1996) in Computer Science and Engineering, all from the University of South Florida. From 1996-1998 I held a post-doctoral position at the University of California, San Diego, in the Electrical and Computer Engineering Department. In 1999 I joined the Electrical and Computer Engineering Department of Clemson University, where I am currently a Professor and Associate Department Chair.

My research focuses on novel artificial intelligence (AI) methodologies for the development of next-generation wearable health devices. These methodologies include the study of long-term human behavior patterns to improve event detection; personalized AI to improve individual behavior predictions and health outcomes; and challenges in collecting reliably labeled data from people during regular daily usage. Computer vision, embedded computing, bioinformatics, image and signal processing, and deep learning form the background of my work. My group works with many types of sensors and often builds embedded systems that prototype novel health monitoring ideas. I have expertise in collecting and annotating large datasets which I make publicly available to help other researchers working on the same problems. I am currently an Associate Editor for the IEEE Journal of Biomedical and Health Informatics.

Resume

Google scholar profile

Funding

Hiking adventures

Teaching

Research (current projects)

    Bite counter project

    Deep learning projects

    Smart dining table project

    Eating detection project

    Pedometer evaluation project

Research (past projects)

STructured Analysis of the Retina (STARE) project

    BMW Automated Visual Inspector

Dynamic workcell project

Sensor networked mobile robotics project

Range image segmentation comparison project

Model construction from range data

University of South Florida range image database

MOUT (Military Operations in Urban Terrain) project

Physiological arousal meter project

System latency project

    Ultra-wideband (UWB) indoor position tracking project

    Samsung appliance inspection

Information for graduate students