Edgar Lobaton

Associate Professor
Edgar Lobaton

Dr. Lobaton received the B.S. degree in mathematics and the B.S. degree in electrical engineering from Seattle University in 2004. He completed his Ph.D. in electrical engineering and computer sciences from the University of California, Berkeley in 2009.
He is currently an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. Dr. Lobaton joined the department in 2011. His research focuses on the development of pattern recognition, estimation theory, and statistical and topological-data-analysis tools applied to wearable health monitoring, robotics and computer vision. He was awarded the NSF CAREER Award in 2016. Prior to joining NCSU, he was awarded the 2009 Computer Innovation Fellows post-doctoral fellowship award and conducted research in the Department of Computer Science at the University of North Carolina at Chapel Hill. He was also engaged in research at Alcatel-Lucent Bell Labs in 2005 and 2009.


Education

2009 - Ph.D. in Electrical Engineering and Computer Sciences, University of California, Berkeley, CA
2004 - B.S. in Mathematics, Seattle University, WA
2004 - B.S. in Electrical Engineering, Seattle University, WA


Awards & Honors

2009-2011 - Computer Innovation Fellows Postdoctoral Award
2004-2008 - Bell Labs Graduate Research Fellowship


Publications


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Recent News

A StressCam, a low-cost camera system to monitor crop stress, over a field of soybeans at the Sandhills Research Station.
A StressCam, a low-cost camera system to monitor crop stress, over a field of soybeans at the Sandhills Research Station.
Low-Cost Cameras Could Be Sensors to Remotely Monitor Crop Stress

Posted on June 10, 2020 | Filed Under: Research

Being able to identify crop problems early can make the difference between saving a crop and losing it, but high-tech solutions can be costly. An interdisciplinary team is leveraging existing technology for a solution.

GRIP4PSI seed grant winners announced

Posted on February 15, 2020 | Filed Under: Research

Two interdisciplinary research teams with significant ECE involvement have entered the next phase of the Game-Changing Research Incentive Program to tackle plant science challenges

Prototype of crop scanning system in Lobaton's lab.
$10M Grant to Advance Cover Crops includes Machine Learning

Posted on November 26, 2019 | Filed Under: Research

USDA $10-million grant to improve the sustainability of agriculture through the use of cover crops features cutting-edge tech, such as autonomous data collection and machine learning from ECE.

 

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