Tracy Camp is the Division Director of Computer Science at the Colorado School of Mines. She received a B.A. degree from Kalamazoo College, an M.S. degree from Michigan State University, and a Ph.D. degree from the College of William and Mary. Her current research interests include the credibility of ad hoc network simulation studies and the use of wireless sensor networks in geosystems. Dr. Camp has received over 20 grants from the National Science Foundation, including a prestigious NSF CAREER award. In total, her projects have received over $20 million dollars in external funding. This funding has produced 12 software packages that have been requested from (and shared with) more than 3000 researchers in 86 countries (as of October 2012). Dr. Camp has published over 90 refereed articles and 12 invited articles, and these articles have been cited over 10,000 times (per Google Scholar) as of January 2016.
Dr. Camp is an ACM Fellow, an IEEE Fellow, and an ACM Distinguished Lecturer. She shares her life with Max (born in 2000), Emma (born in 2003), her husband (Glen), and two cats. The four humans are vegetarians who tremendously enjoy living in the foothills of the Rockies.
Much of our world’s subsurface is contaminated, due to legacy mining and milling sites; without treatment, the earth’s water supply is at risk. Imagine a remediation system that monitors a contaminated subsurface weekly, intelligently determines its status, and autonomously reacts to immobilize the contamination and protect our water supply.
Earthen dams are critical components in our world’s water resource infrastructure, but many are at or near their intended design life. Imagine an earthen dam that monitors itself daily, detects early onset of internal erosion, and takes action to avoid a catastrophic failure.
The goal of the SmartGeo program at the Colorado School of Mines is to turn these imaginations into reality. We are working to develop intelligent geosystems, in order to enable engineered and natural earth structures and environments to (1) sense their environment and (2) adapt to improve performance.
In this presentation, I will discuss the motivation for our SmartGeo program and the challenges that exist to reach our goal of intelligent geosystems. We will then delve into one specific challenge. Specifically, designing an efficient wireless sensor network capable of real-time, continuous (e.g., 500 Hz sampling rate), geophysical monitoring requires a more intelligent approach than a naive “sense, store, send” method. We, therefore, have been investigating whether compressive sensing techniques are effective with our geophysical data and how we can implement in our resource constrained environment.
This lecture is co-hosted by the Women of CEC initiative.