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 a 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

• A Multiple Instance Learning Approach to Study Leaf Wilt in Soybean Plants (2025)
• Sweet Potato Yield Prediction Using Machine Learning Based on Multispectral Images Acquired from a Small Unmanned Aerial Vehicle (2025)
• Advances in Modeling and Interpretability of Deep Neural Sleep Staging: A Systematic Review (2023)
• Effect of sensor number and location on accelerometry-based vertical ground reaction force estimation during walking (2024)
• Evaluating Bacterial Nanocellulose Interfaces for Recording Surface Biopotentials from Plants (2024)
• Photorealistic Arm Robot Simulation for 3D Plant Reconstruction and Automatic Annotation using Unreal Engine 5 (2024)
• Quantifying Visual Differences in Drought Stressed Maize through Reflectance and Data-Driven Analysis (2024)
• Quantifying Visual Differences in Drought-Stressed Maize through Reflectance and Data-Driven Analysis (2024)
• The Impact of Pause and Filler Word Encoding on Dementia Detection with Contrastive Learning (2024)
• A Wearable System for Continuous Monitoring and Assessment of Speech, Gait, and Cognitive Decline for Early Diagnosis of ADRD (2023)

Involvement

• IEEE
  Senior Member
• SACNAS
  Life Member

Awards & Honors