Edgar Lobaton

Biography

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 NC State, 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

• Ph.D. 2009
  Electrical Engineering and Computer Sciences
  University of California, Berkeley
• Bachelor's 2004
  Mathematics
  Seattle University
• Bachelor's 2004
  Electrical Engineering
  Seattle University

Recent Publications

• Robust Cough Detection with Out-of-Distribution Detection (2023)
• Towards rapid weight assessment of finishing pigs using a handheld, mobile RGB-D camera (2023)
• Wearable Cyberphysical Systems for Biomedicine (2023)
• Efficient imaging and computer vision detection of two cell shapes in young cotton fibers (2022)
• Enhancing Inference on Physiological and Kinematic Periodic Signals via Phase-Based Interpretability and Multi-Task Learning (2022)
• Forabot: Automated Planktic Foraminifera Isolation and Imaging (2022)
• Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode (2022)
• Improving Performance and Quantifying Uncertainty of Body-Rocking Detection Using Bayesian Neural Networks (2022)
• Real-Time Monitoring of Plant Stalk Growth Using a Flexible Printed Circuit Board Sensor (2022)
• Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses (2022)

Involvement

• IEEE
  Senior Member
• SACNAS
  Life Member

Awards & Honors