Edgar Lobaton
He/Him/His
ejlobato@ncsu.edu
Engineering Building II (EB2) 2062
Campus Box 7911
Website
ORCiD
YouTube Channel
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 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
-
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
Research Focus
- Communications and Signal Processing
- Image Analysis and Computer Vision
- Control, Robotics, and Mechatronics
- Computational Intelligence
- Control
- Robotics
Recent Publications
- 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)
- 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)
- Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses (2022)
- Static posturography as a novel measure of the effects of aging on postural control in dogs (2022)
- Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery (2021)
- Efficient Environmental Context Prediction for Lower Limb Prostheses (2021)
- Environmental Context Prediction for Lower Limb Prostheses With Uncertainty Quantification (2021)
- Fashion Recommendation Systems, Models and Methods: A Review (2021)
Funded Research
- Breeding New Blueberries for Mechanical Harvest
- SenSE: AI-Driven, Resilient and Adaptive Monitoring of Sleep (AI-DReAMS)
- SCH: INT: Collaborative Research: A Data-Driven Approach for Enhancing Wearable Device Performance – A Study on Early Detection of Asthma Exacerbation
- Collaborative Research: Improving the Performance and Design of Potentiometric Biosensors for the Detection of Extracellular Histones in Blood with Deep Learning
- Proof-of-Concept Study for Integrated Patch Recorder for Fetal Health Monitoring
- CPS:Medium:Multimodal Sensing for Early Detection and Real-Time Correction of Water Stress and Nutritional Needs in Plants
- Collaborative Research: FORABOT: An Autonomous and Accessible System for Sorting Foraminifera
- Robotics Awake: Promoting the Diffusion of Innovation through Curriculum Development and a Technician Training Community College Extension Model
- Collaborative Research: A Visual System for Autonomous Foraminifera Identification
- Power-Efficient Respiratory Rate Estimation via Minimal Sensing
- CAREER: Data Representation and Modeling for Unleashing the Potential of Multi-Modal Wearable Sensing Systems
Highlighted Awards
- NSF CAREER Award (2016)
Awards & Honors
- 2009-2011 - Computer Innovation Fellows Postdoctoral Award
- 2004-2008 - Bell Labs Graduate Research Fellowship
Recent News
From the Lab to the Farm
Posted on December 30, 2022 | Filed Under: Research
The Benchbot research project is a collaborative effort between the Department of Electrical and Computer Engineering and the Department of Crop and Soil Sciences at NC State which is working to automate plant phenotyping.
Fossil-Sorting Robots Will Help Researchers Study Oceans, Climate
Posted on December 12, 2022 | Filed Under: Research
New tech from Edgar Lobaton’s lab automates a tedious process that plays a key role in ocean and climate research.
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.
Media Mentions
Train Activity Recognition Models Using Spectrograms and Computer Vision
September 5, 2022
What’s Creepy, Crawly And A Champion Of Neuroscience?
October 22, 2013
NC State professor is in the simulation phase of using swarms of up to 1,000 cockroaches to assist in search-and-rescue operations. Edgar Lobaton, electrical and computer engineering, featured.