Join us in welcoming Edgar Lobaton, a professor from NC State’s Electrical and Computer Engineering Department, as he discusses AI-powered wearables. Alums and friends of the program are always welcome.
https://ncsu.zoom.us/j/93445582296?pwd=FykTWtJLHlZkhaVn6aV4AZrwVmMrF7.1
Meeting ID: 934 4558 2296
Passcode: 051656
Robust Cough and Speech Detection with AI-Powered Wearables
Coughs are used for the diagnosis of pulmonary diseases, and patterns in speech, including pause distributions, are used for the diagnosis of speech pathologies, including mild cognitive impairment. These use cases motivate our development of a wearable system that meets clinical monitoring requirements for detecting cough and speech patterns by fusing multimodal sensor data and ensuring users’ privacy. Our methodology enhances standard deep learning approaches by incorporating Out-Of-Distribution detection for robustness and incorporating Knowledge Distillation techniques to develop embedded deployments.
Edgar J. Lobaton, professor, joined the Department of Electrical and Computer Engineering at NC State University in 2011. He earned his B.S. in Mathematics and 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. Lobaton was engaged in research at Alcatel-Lucent Bell Labs in 2005 and 2009. He was awarded the NSF CAREER Award in 2016. He was also awarded the 2009 Computer Innovation Fellows post-doctoral fellowship and conducted research in the Department of Computer Science at the University of North Carolina (UNC) at Chapel Hill from 2009 until 2011. In 2023, he received the William F. Lane Outstanding Teaching and the Winser Alexander Diversity Faculty Awards from the ECE Department. In 2024, he received the University Faculty Scholars and the Outstanding Teacher Awards from NC State. His research focuses on the integration of AI and physical and probabilistic modeling applied to cyber-physical systems in areas such as wearable health monitoring, rehabilitation robotics, agriculture and biological imaging.
