Edgar Lobaton

Edgar Lobaton is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University (NC State). He holds a B.S. in Mathematics and Electrical Engineering from Seattle University (2004) and a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley (2009). His research integrates AI, probabilistic modeling, and cyber-physical systems for applications in wearable health monitoring, rehabilitation robotics, agriculture, and biological imaging. He has led projects at Alcatel-Lucent Bell Labs and the University of North Carolina at Chapel Hill. Lobaton is an IEEE Senior Member and advisor to the Embedded Machine Learning Club.

Key awards include the NSF CAREER Award (2016), William F. Lane Outstanding Teaching Award (2023), and University Faculty Scholars Award (2024). His work spans grants focused on wearable sensors for asthma monitoring, plant health diagnostics, and automated microscopy systems. He emphasizes interdisciplinary collaboration, with projects involving robotics, environmental sensing, and medical devices.

Professional involvement includes leadership roles in IEEE and SACNAS, reflecting his commitment to diversity in STEM. His lab develops innovative solutions for precision agriculture, wearable health systems, and bio-inspired robotics, with a focus on translating research into practical applications for healthcare and environmental sustainability.