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I'm a research scientist at NAVWAR Point Loma in San Diego. I am the director of a small lab (NeuroML) where we support the DoD mission and resolve to distill new knowledge from computational neuroscience. I completed my MS in Computer Science at Georgia Tech with advisor Prof. David Joyner and Prof. Ashok Goel. I am completing my PhD in Computer Science as a DoD SMART Scholar, with a mix of cognitive and neuro science under my advisor Dr. Virginia de Sa and my CS work is under Prof. Gary Cottrell. I completed my BS in EE at the University of Rochester. My current research focuses on biologically inspired computer vision and perception. My work is in understanding the computational circuits that underlie robustness, adaptability and modeling. |
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A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging
B TenWolde, J Lukos, M Alam, JC Bradford, N Wymbs arXiv preprint, 2023 We adapt convolutional networks for real-time cortical classification during mobile EEG, enabling brain imaging outside the lab. |
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U-EEG: A Deep Learning Autoencoder for the Detection of Ocular Artifact in EEG Signal
J Onners, M Alam, B TenWolde, N Wymbs, J Lukos IEEE SPMB, 2021 A U-Net autoencoder that removes eye-blink artifacts from EEG signals, outperforming ICA on low-electrode setups. |
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Synthetic imagery for spatial resolution selection in maritime remote sensing
CM Ward, B TenWolde SPIE Geospatial Informatics XI, 2021 Synthetic imagery helps determine optimal spatial resolution for detecting vessels in maritime remote sensing. |
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Thank you Jon Barron for sharing his website's
source code.
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