Research in Neural Interfaces and Signal Processing Lab aims to develop systems and methods to assist patients with neuromuscular disabilities and neurological disorders. NISP Lab’s research includes the areas of signal processing, machine learning, and their applications in medicine. Dr. Bae’s work focuses on the use of brain signals, from microscopic to mesoscopic-scales, to develop neural decoders in brain machine interfaces to help create upper limb prosthetics for patients with neuromuscular disabilities. In addition, Dr. Bae is interested in investigating electroencephalography (EEG) signal processing and source imaging techniques to localize seizure-onset zones in epilepsy. NISP lab members are investigating signal processing and machine learning techniques to ultimately provide daily life assistance to patients with neuromuscular disabilities and neurological disorders.
June 21, 2021
I delightfully announce Benton Girdler's jounal publication in International Forum of Allergy and Rhinology! The article is entitled “Feasibility of a deep learning-based algorithm for automated detection and classification of nasal polyps and inverted papillomas on nasal endoscopic images.”
This paper is accessible on the following link: https://onlinelibrary.wiley.com/doi/10.1002/alr.22854
June 1, 2021
Congratulations! I am pleased to announce that William Caldeck was selected for an Engineering Summer Undergraduate Research Fellowship.
June 1, 2021
I am happy to announce Jonathan Fugal's jounal publication on Robotics! The article is entitled “On the Impact of Gravity Compensation on Reinforcement Learning in Goal-Reaching Tasks for Robotic Manipulators.”
This paper is accessible on the following link: https://www.mdpi.com/2218-6581/10/1/46