Publications and Presentations

What follows is a list of publications and presentations that I authored or co-authored. Clicking on the title will take you to the journal's page for the paper.

Publications as Primary Author

TitleAuthorsJournalYear
Seabed type and source parameters predictions using ship spectrograms in convolutional neural networksD. F. Van Komen, T. B. Neilsen, D. B. Mortenson, M. C. Acree, D. P. Knobles, M. Badiey, and W. S. HodgkissThe Journal of the Acoustical Society of America2021
Deep Learning to Predict Ocean Seabed Type and Source ParametersD. F. Van KomenMaster's Thesis, Brigham Young University2021
Characterizing distinct components of tactical aircraft noise sourcesD. F. Van Komen, B. M. Harker, T. B. Neilsen, K. L. Gee, H. Swift, A. T. Wall, J. M. Downing, and M. M. JamesThe Journal of the Acoustical Society of America2020
Seabed and range estimation of impulsive time series using a convolutional neural networkD. F. Van Komen, T. B. Neilsen, K. Howarth, D. P. Knobles, and P. H. DahlThe Journal of the Acoustical Society of America2020
A convolutional neural network for source range and ocean seabed classification using pressure time-seriesD. F. Van Komen, T. B. Neilsen, D. P. Knobles, and M. BadieyProceedings of Meetings on Acoustics2019
A feedforward neural network for source range and ocean seabed classification using time-domain featuresD. F. Van Komen, T. B. Neilsen, D. P. Knobles, and M. BadieyProceedings of Meetings on Acoustics2019

Publications as Secondary Author

TitleAuthorsJournalYear
Learning location and seabed type from a moving mid-frequency sourceT. B. Neilsen, C. D. Escobar-Amado, M. C. Acree, W. S. Hodgkiss, D. F. Van Komen, D. P. Knobles, M. Badiey, and J. Castro-CorreaThe Journal of the Acoustical Society of America2021
Validating deep learning seabed classification via acoustic similarityD. J. Forman, T. B. Neilsen, D. F. Van Komen, and D. P. KnoblesJASA Express Letters2021
Seabed classification from merchant ship-radiated noise using a physics-based ensemble of deep learning algorithmsC. D. Escobar-Amado, T. B. Neilsen, J. A. Castro-Correa, D. F. Van Komen, M. Badiey, D. P. Knobles, and W. S. HodgkissThe Journal of the Acoustical Society of America2021
Optimal experimental design for machine learning using the Fisher informationT. B. Neilsen, D. F. Van Komen, M. K. Transtrum, M. B. Allen, and D. P. KnoblesProceedings of Meetings on Acoustics2018

Presentations

TitleAuthorsConferenceYearLocation
Localization of directional noise sources from high-performance military aircraft through subarray beamforming analysisD. F. Van Komen, T. B. Neilsen, B. M. Harker, K. L. Gee, S. H. Swift, M. Downing, M. M. James, and A. T. Wall176th Meeting of the Acoustical Society of America2018Victoria, British Columbia
Evaluating the effectiveness of subarrays in beamforming computations of complex jet noise source environmentsD. F. Van Komen, T. B. Neilsen, B. M. Harker, K. L. Gee, S. H. Swift, A. T. Wall, M. Downing, and M. M. James175th Meeting of the Acoustical Society of America2018Minneapolis, Minnesota
A FNN for source range and ocean environment classification using time-domain featuresD. F. Van Komen, D. P. Knobles, T. B. Neilsen, and M. Badiey177th Meeting of the Acoustical Society of America2019Louisville, Kentucky
A waveform-based convolutional neural net for source range and ocean environment classificationD. F. Van Komen, T. B. Neilsen, D. P. Knobles, and M. Badiey177th Meeting of the Acoustical Society of America2019Louisville, Kentucky
Differences in regression, classification, and multi-task deep learning on pressure time series for range and seabed typeD. F. Van Komen, K. Howarth, T. B. Neilsen, and D. P. Knobles179th Meeting of the Acoustical Society of America2020Virtual Conference