Applied Ocean Acoustics
Science and Technology for Underwater Systems in Defense, Industry & Environment
Applied Ocean Acoustics
Science and Technology for Underwater Systems in Defense, Industry & Environment
About seamount analytics
Experience
Over 25 years of experience acquired in DRDC - Atlantic, NATO Center for Maritime Research & Experimentation, European Commission, Industry and Academics.
Recent clients include Lockheed Martin Canada, Ultra Electronics - Maritime, JASCO Applied Sciences, GeoSpectrum Technologies, Defence R&D Canada, Dalhousie University.
Ronald T Kessel, PhD
Advanced degrees in Physics and Engineering.
Flair for bringing quantitative analysis to bear in practical problems.
Strong math, physics, signal processing, probability and statistics support modelling and simulation for capability development, system assessment, requirement generation and evaluation, data analysis, decision support, and at-sea experimentation.
Domain Expertise
Sonar Performance Modeling
Modeling and operational for ASW, MCM, Maritime Security.
Passive, active, multistatics, reverb & noise limited, multi-platform systems.
Low, mid and high frequency.
Signal Processing & Machine Learning
Detection, classification, fusion. Signal modeling. ROC curves. Detection Thresholds
Ocean Acoustics and Oceanography
Seismo-acoustics in layered media, anthropogenic and natural noise, propagation modelling (rays, PE, normal modes, finite difference, finite element).
Applied Probability and Statistics
Statistical inference, risk, uncertainty, random signals, detection and pattern recognition.
Engineering, Computational Physics, Applied Math
Georeferenced maritime modeling and simulation-- vessels, environment, acoustics, operations.
R, Python, Fortran, VB, Excel
Recent topics
Supporting Industry, Government, and Universities
- Detecting telltale harmonic structure of rotating machinery noise amid underwater noise
- Augmenting passive sonar time-domain data for machine learning in detection and classification
- Impact of sea surface reflections on processing gain.
- Multistatic sonar optimization, including ping optimization.
- Large-area persistent sonar coverage modelling and optimization.
- Simulation of nonlinear shock wave front propagation in the atmosphere.
- Active/Passive Sonar ROC curves and Detection Threshold.
- Passive and active sonar data augmentation for improved machine learning.
- Machine Learning for sonar detection and classification.
- Expected impact of ocean acidification on future sonar performance.
- In situ low-level noise measurement and data analysis.
- Impact of power-saving duty-cycle on the operational effectiveness of large area surveillance.
- Operational analysis of wave-glider fleet for persistent UW surveillance capability (fleet size estimates, solar power limitations at higher latitudes, cost estimates).
- Long-range UW under-ice communication.
- Safety of diver exposure to ultrasonic imaging sonars.
- Diver detection sonar: performance and mission planning.
Schematic of sonar pulse reflection from sea surface when predicting pulse time and frequency