ICEXS2020
The Zoom meeting will consist of a presentation of the video (over 1 hour long) of the meeting held on October 20, 2020 entitled Under ice AUV Operations: Approaching the Challenges of the Beaufort Sea (ICEX2020).
Bradli Howard, EeShan Bhatt, and Rui Chen spoke about their research involved in ICEX20, a multinational exercise organized by the United States Navy in the Arctic Beaufort Sea region carried out in March of 2020. All three speakers are MIT-WHOI Joint Program graduate students in the Laboratory for Autonomous Marine Sensing Systems (LAMSS) led by Professor Henrik Schmidt at MIT. During ICEX, LAMSS deployed four acoustic communications buoys to link with Autonomous Undersea Vehicle Macrura under sea ice. The three speakers presented on the overall experiment setup and their individual ICEX contributions including: underwater acoustic communication performance metrics (Bradli), an integrated framework for deployed vehicle acoustic environmental updates (EeShan), and environmental effects on noise propagation (Rui).
Date and Time
Location
Hosts
Registration
- Date: 03 Dec 2020
- Time: 05:00 PM to 06:30 PM
- All times are (GMT-05:00) US/Eastern
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- Cambridge, Massachusetts
- United States
- Starts 19 November 2020 09:00 AM
- Ends 01 December 2020 05:00 PM
- All times are (GMT-05:00) US/Eastern
- No Admission Charge
Speakers
Speakers: B. Howard, E. Bhatt and R. Chen
Biography:
LT Bradli Howard is a Submarine Officer and Master’s student focusing on novel underwater acoustic communication performance metrics. Before coming to study in the MIT-WHOI Joint Program, she was stationed on the USS OHIO (BLUE) (SSGN 726) homeported in Bangor, WA and completed her tour as the Assistant Engineer and Operational Safety Officer. She received her B.S. in Nuclear Engineering from North Carolina State University in 2015 and earned her commission through the Naval Reserve Officer Training Corps (NROTC) program.
EeShan Bhatt is a PhD Candidate in the MIT-WHOI Joint Program. His research focus is on anticipating the physically-driven and stochastic uncertainties behind vertical sound speed structure that predicates autonomous underwater vehicle communication, navigation, and sampling. A welcome but unexpected part of his thesis work is designing tools and interactive data visualizations to share this uncertainty, from coding notebooks for K-12 users to tactical decision aids for the US Navy. EeShan was awarded the NDSEG Fellowship in 2018 and received a BSE in Mechanical Engineering from Duke University in 2015.
Rui Chen is a PhD Candidate in the MIT-WHOI Joint Program. His thesis work focuses on applying acoustical modeling, signal processing, and machine learning techniques to characterize changes to Arctic Ocean underwater ambient noise that may be attributed to the region’s changing environment. In particular, he is interested in the effect of the Beaufort Sea sound speed profile on noise as well as the spectral and temporal features of ice-generated transients. Rui was awarded a NSF Graduate Research Fellowship in 2017 and prior to the Joint Program, he received his B.A. in Physics and Earth Science at Northwestern University.
Agenda
5:00 pm Introduction
5:02 pm pre-recorded Presentation
5:45 pm Q&A