Experience #
Postdoctoral Scholar (Since Jan. 2024)
Scripps Institution of Oceanography, University of California San Diego; La Jolla, Calif.
Graduate Research Assistant (Sept. 2017-Dec. 2023)
Scripps Institution of Oceanography, University of California San Diego; La Jolla, Calif.
Education #
Ph.D., Oceanography
Dissertation: Listening to Ice and Ocean: Machine Learning for Seismic and Acoustic Environmental Characterization
Scripps Institution of Oceanography, University of California San Diego
Sept. 2017 - Dec. 2023
M.A., Defense & Strategic Studies (in progress)
Focus: Politics and Security of Asia-Pacific
U.S. Naval War College; Newport, Rhode Isl.
Sept. 2020 - June 2024
M.S. with Distinction, Engineering Acoustics
Thesis: Time/Frequency Relationships for an FFT-Based Acoustic Modem
Naval Postgraduate School; Monterey, Calif.
June 2009 - Sept. 2010
B.S. with Merit, Oceanography
Minor in German Language
United States Naval Academy; Annapolis, Md.
June 2005 - May 2009
Honors and Awards #
- Best Student Paper, Signal Processing Technical Committee, 184th Meeting of the Acoustical Society of America (May 2023)
- National Defense Science and Engineering Graduate Fellowship (2018-2022)
- Chief of Naval Operations Award for Outstanding Research in Undersea Warfare (2010)
- Research Fellowship, Space and Naval Warfare Systems Center Pacific (2009-2020)
- US Naval Academy Professor Emeritus Jerome Williams Oceanography Research Paper Award (2009)
- US Naval Academy Bowman Scholar with Immediate Graduate Education (2008-2009)
Publications #
Journal Articles #
[4] W. F. Jenkins II, P. Gerstoft, and Y. Park, “Geoacoustic inversion with Bayesian optimization,” under review with the Journal of the Acoustical Society of America, Jan. 2024.
[3] W. F. Jenkins II, P. Gerstoft, and Y. Park, “Bayesian optimization with Gaussian process surrogate model for source localization,” The Journal of the Acoustical Society of America, vol. 154, no. 3, pp. 1459–1470, Sep. 2023, doi: 10.1121/10.0020839.
[2] C.-C. Chien, W. F. Jenkins, P. Gerstoft, M. Zumberge, and R. Mellors, “Automatic classification with an autoencoder of seismic signals on a distributed acoustic sensing cable,” Computers and Geotechnics, vol. 155, p. 105233, Jan. 2023, doi: 10.1016/j.compgeo.2022.105223.
[1] W. F. Jenkins II, P. Gerstoft, M. J. Bianco, and P. D. Bromirski, “Unsupervised Deep Clustering of Seismic Data: Monitoring the Ross Ice Shelf, Antarctica,” Journal of Geophysical Research: Solid Earth, vol. 126, no. 9, Aug. 2021, doi: 10.1029/2021JB021716.
Conference Papers #
[3] W. F. Jenkins and P. Gerstoft, “Bayesian Optimization with Gaussian Processes for Robust Localization,” in 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, Republic of Korea, Apr. 2024, pp. 6010–6014. doi: 10.1109/ICASSP48485.2024.10445808.
[2] W. Jenkins et al., “Analysis of underwater acoustic data collected under sea ice during the Useful Arctic Knowledge 2021 cruise,” in Proceedings of Meetings on Acoustics, Southampton, UK, 2022, p. 070003. doi: 10.1121/2.0001574.
[1] W. Jenkins, J. Rice, L. Ziomek, and D. Green, “Multi-channel MFSK Modulation and Demodulation through Short-Range, Large-Bandwidth, Underwater Acoustic Channels,” in Proceedings of the 10th European Conference on Underwater Acoustics, Istanbul, Turkey, Jul. 2010.
Presentations #
Conferences #
12. “Deep clustering analysis for data exploration and anomaly detection in distributed acoustic sensing (DAS) systems” (invited). 185th Meeting of the Acoustical Society of America, Sydney, Australia, 6 Dec. 2023.
11. “Reducing dimensionality of spectrograms using convolutional autoencoders” (invited). 184th Meeting of the Acoustical Society of America, Chicago, Ill., 8 May 2023.
10. “Acoustic source localization using Bayesian optimization with a Gaussian process surrogate model” (contributed). 184th Meeting of the Acoustical Society of America, Chicago, Ill., 8 May 2023.
9. “Applications of Bayesian optimization with a Gaussian process surrogate model in ocean acoustics” (invited). 183rd Meeting of the Acoustical Society of America, Nashville, Tenn., 7 Dec. 2022.
8. “Source localization using Bayesian optimization with a Gaussian process surrogate model” (invited). International Congress on Acoustics, Gyeongju, Republic of Korea, 25 Oct. 2022.
7. “Analysis of acoustic data collected under sea ice during the Useful Arctic Knowledge 2021 arctic cruise” (contributed). International Conference on Underwater Acoustics, Southampton, UK, 20 June 2022.
6. “Acquisition functions in Bayesian optimization of ocean acoustic waveguides using Gaussian processes” (invited). 182nd Meeting of the Acoustical Society of America, Denver, Colo., 26 May 2022.
5. “Gaussian process model selection for parameter estimation in ocean acoustics” (contributed). 181st Meeting of the Acoustical Society of America, Seattle, Wash., 2 Dec. 2021.
4. “Unsupervised Deep Clustering of Seismic Data” (poster). National Defense Science and Engineering Graduate Fellowship Conference, Virtual, 19-21 July 2021.
3. “Monitoring the Ross Ice Shelf: Deep Clustering of Antarctic Seismic Data” (talk and poster). U.S. Antarctic Science Meeting, Virtual, 15 July 2021.
2. “Identification of Icequakes and Earthquakes on the Ross Ice Shelf, Antarctica using Unsupervised Deep Embedded Clustering” (contributed). AGU Fall Meeting 2020, Virtual, 15 Dec. 2020.
1. “Multi-channel MFSK Modulation and Demodulation through Short-Range, Large-Bandwidth, Underwater Acoustic Channels” (contributed). 10th European Conference on Underwater Acoustics, Istanbul, Turkey, 5-9 July 2010.
Lectures #
5. “Estimating geoacoustic parameters using Bayesian optimization with a Gaussian process surrogate model.” Applied Ocean Science Seminar, Scripps Institution of Oceanography, U.C. San Diego, 19 May 2022.
4. “Deep clustering seismic data from the Ross Ice Shelf, Antarctica.” Applied Ocean Science Seminar, Scripps Institution of Oceanography, U.C. San Diego, 29 Apr. 2021.
3. “Deep Clustering Antarctic Seismic Data.” Machine Learning for Physical Applications (ECE 228), Department of Electrical and Computer Engineering, U.C. San Diego, 7 Apr. 2021.
2. “Unsupervised Deep Clustering of Seismic Data: Monitoring the Ross Ice Shelf, Antarctica.” Scripps Polar Center, Scripps Institution of Oceanography, U.C. San Diego, 5 Feb. 2021.
1. “Time/Frequency Relationships of an FFT-based Underwater Acoustic Modem.” Space and Naval Warfare Systems Center Pacific, San Diego, Calif., 23 July 2010.
Experimental & Field Experience #
6. Arctic Ocean, north of Svalbard, Norway. Participated in Useful Arctic Knowledge program sponsored by the Nansen Environmental Remote Sensing Center in Bergen, Norway. While embarked on board the Norwegian Coast Guard icebreaker KV Svalbard, conducted work on sea ice, including CTD profiles, acoustic localization and passive sensing, and various measurements and analyses of sea ice (June 2021).
5. Tongue of the Ocean, Bahamas. As an officer on board USS Providence, assisted with the first successful launch of an AUV from a submarine torpedo tube for the Naval Research Laboratory’s (NRL) Sea Robin and experimental fuel cell (XFC) program (Aug. 2013).
4. NPS, Monterey, Calif. Conducted laboratory measurements of non-linear effects observed on oscillating strings, and worked to replicate such effects with transducers in an anechoic chamber (June-Sept. 2010).
3. San Francisco Bay, Calif. Assisted with deployment of the Seaweb underwater acoustic network as a path to convey real-time, in-situ data from an acoustic Doppler current profiler at depth in Raccoon Strait to the Central and Northern California Ocean Observing System (CeNCOOS) website (July 2009).
2. St. Margaret’s Bay, Nova Scotia. Embarked research intern for two weeks with NRL for Unet 2008 sea trials; deployed and operated an underwater acoustic network, characterized the communication channel, and evaluated performance of the network in shallow water (June 2008).
1. Independent research for USNA Bowman Scholarship with NRL, Acoustic Signal Processing and Systems Branch (May 2008-May 2009). In consultation with NRL, utilized MATLAB to analyze the impact of biologic noise on signal-to-noise ratios of digital acoustic communications employed by Seaweb.
Skills #
- Oceanographic and acoustic data analysis
- Digital signal processing
- Acoustic propagation modeling
- Oral and written communications: Technical writing, research, editing, and public speaking
- Programming: Python, MATLAB, LaTeX, HTML/CSS, shell scripting
Service and Outreach #
Volunteer Activities #
- Lead Data Analyst and Refugee Resettlement Case Manager, #AfghanEvac Coalition (since Aug. 2021).
- STEM tutor, UCSD Student Veterans Resource Center (since Mar. 2022).
- Student Council, Acoustical Society of America (May 2022-May 2023).
- Student representative, SIO Marine Sciences Development Center Committee (Oct. 2020-Sep. 2021).
- Elected as student representative, SIO Graduate Student Council (July-Oct. 2018, term ended early due to deployment).
Reviewer #
- Journal of the Acoustical Society of America
- Journal of Geophysical Research - Earth Surface
- IEEE Journal of Oceanic Engineering
- IEEE Transactions on Geoscience and Remote Sensing
- Seismological Research Letters
- The Cryosphere
Membership #
- Acoustical Society of America (ASA)
- American Geophysical Union (AGU)
- Institute for Electrical and Electronics Engineers (IEEE)
- The Oceanography Society (TOS)
- United States Naval Institute (USNI)
Personal Activities #
Hobbies: Violin & chamber music performance, sailing, scuba diving, skiing, photography, web development, travel.
Interests: History, anthropology, international political economy, German & Japanese language.