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I'm a research scientist at NAVWAR Point Loma in San Diego. I direct 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, Georgia Institute of Technology with advisor Prof. David Joyner and Prof. Ashok Goel. I am completing my PhD in Computer Science, with a mix of cognitive and neuro science under my advisor Dr. Virginia deSa 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 arXiv:2310.07941 arXiv A study on adapting convolutional networks for cortical classification in the context of mobile brain imaging. |
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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 Signal Processing in Medicine and Biology Symposium (SPMB), 2021, pp. 1–5 A deep learning autoencoder designed to detect ocular artifacts in EEG signals. |
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Synthetic imagery for spatial resolution selection in maritime remote sensing
CM Ward B TenWolde Geospatial Informatics XI, 2021 A study on utilizing synthetic imagery to aid in the selection of optimal spatial resolutions for maritime remote sensing applications. |
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Thank you Jon Barron for sharing his website's
source code.
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