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Active Robotic Sensing (ARoS) Laboratory

The lab focuses on the development of tools for the fields of pattern recognition, estimation theory, and statistical and topological data analysis in order to solve problems in the areas of wearable health and environmental monitoring, robotics and computer vision.

Please fill out this form if you are a student at NCSU and you are interested in volunteering in the lab.  The deadline for Fall 2019 is August 31, 2019. Entries submitted after the deadline may still be reviewed depending on project availability.

Articles on Prediction of Human Physiological Response and on Micro-Fossil Recognition Published

The article "Activity-Aware Wearable System for Power-Efficient Prediction of Physiological Responses," authored by N. Starliper, F. Mohammadzadeh, T. Songkakul, M. Hernandez, A. Bozkurt and E. Lobaton has been published in the Sensors Journal, 2019. The...

In the News: Artificial Intelligence can Identify Microscopic Marine Organisms

Read more at: https://www.sciencedaily.com/releases/2019/02/190206104535.htm

Papers Accepted to EMBC Conference

The following papers have been accepted to the IEEE Engineering in Medicine and Biology Conference (EMBC) in July 2018: "Prediction of Physiological Response over Varying Forecast Lengths with a Wearable Health Monitoring Platform" by F. Mohammadzadeh, C.S. Nam, and...

Article on Wearable Sensing Published in Inventions Journal

The article “Activity-Aware Physiological Response Prediction using Wearable Sensors” authored by N. Lokare and B. Zhong and E. Lobaton has been published in the Inventions Journal, 2017.

Papers Accepted to IEEE SSCI 2017

The following papers with corresponding authors have been accepted to the IEEE Symposium Series on Computational Intelligence (SSCI), 2017: B. Zhong, Q. Ge, B. Kanakiya, R. Mitra, T. Marchitto, E. Lobaton, “A Comparative Study of Image Classification Algorithms for...