A5081030702- Underwater Acoustics Research
- Marine animal studies overview
- Speech and Audio Processing
- Underwater Vehicles and Communication Systems
- Advanced Fiber Optic Sensors
- Video Surveillance and Tracking Methods
- Optical Wireless Communication Technologies
- Indoor and Outdoor Localization Technologies
- Experimental Learning in Engineering
- Planetary Science and Exploration
- Isotope Analysis in Ecology
- Microwave Engineering and Waveguides
- Antenna Design and Optimization
- Advanced Photonic Communication Systems
- Astro and Planetary Science
Woods Hole Oceanographic Institution
2020-2024
Weatherford College
2024
Franklin W. Olin College of Engineering
2020-2022
Favaloro Foundation
2021
We have created a new image analysis pipeline to reprocess images taken by the Near Earth Asteroid Tracking survey and applied it ten nights of observations. This work is first large-scale reprocessing from an asteroid discovery in which thousands archived are re-calibrated, searched for minor planets, resulting observations reported Minor Planet Center. describe software used extract, calibrate, clean sources images, including specific techniques that accommodate unique features these...
The low-frequency impulsive gunshot vocalizations of baleen whales exhibit dispersive propagation in shallow-water channels which is well-modeled by normal mode theory. Typically, underwater acoustic source range estimation requires multiple time-synchronized hydrophone arrays can be difficult and expensive to achieve. However, single-hydrophone modal dispersion has been used whale estimate geoacoustic properties. Although convenient when compared sensor arrays, these algorithms require...
A convolutional neural network (CNN) was trained to identify multi-modal gunshots (impulse calls) within large acoustic datasets in shallow-water environments. South Atlantic right whale were used train the CNN, and North Pacific (NPRW) gunshots, which naive, for testing. The classifier generalizes new from NPRW is shown calls can be invert source range and/or environmental parameters. This save human analysts hours of manually screening passive monitoring datasets.
The time-frequency positions of modal dispersion curves in shallow-water low-frequency impulsive signals are strongly dependent on source-receiver range, making them suitable for range-based localization. Here, we apply a temporal convolutional network (TCN) to spectrograms estimated from individual sensors an array unsynchronized hydrophones simultaneously detect dispersive and produce source-range estimates. TCN is trained simulated generated over spatial grid various environmental...
We present a hybrid Visible-Light Communication (VLC) and Radio-Frequency (RF) communication system based on an open-source platform, which is integrated at the Medium-Access-Control (MAC) layer. Downlink data transmissions of use VLC with commercially available lighting source, uplink RF. An auxiliary, low-power infra-red (IR) control channel also implemented to transmit acknowledgement signals for packets. experimentally demonstrate that has low latency, can achieve end-to-end TCP/IP...
Low-frequency acoustic signals in shallow water are highly impacted by interactions with the sea surface and seabed. The field is then conveniently described modal theory, received signal can be modeled a set of modes that propagate dispersively. It now well established time-frequency dispersion normal modes, as measured single hydrophone, used to localize source and/or estimate propagation environment. This method has notably been range vocalizations from baleen whales water. However, this...
Principles of Wireless Communication (PWC) is an upper-level Electrical and Computer Engineering (ECE) elective taught at Olin College, undergraduate-only engineering institution that known for its small size project-based learning (PBL) curriculum. PWC takes a top-down approach to teaching where students develop understanding wireless communications principles by transmitting receiving data across physical simulated channels. The course run in studio-like environment; class time used...
In shallow-water environments, low-frequency acoustic signals exhibit dispersive propagation due to interactions with the sea surface and seabed. The received signal can then be modeled as a set of propagating modes. Single-hydrophone modal dispersion has been used range baleen whale vocalizations estimate geoacoustic properties. However, these algorithms require preliminary detection human labor dispersion. Here, we apply temporal convolutional network (TCN) time-frequency representations...