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Henrik Schmidt

Massachusetts Institute of Technology · US
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Area of research
Oceanography · Ocean Engineering
Research interest
Research focused on Underwater and Acoustics, with related work in Noise (video), Convolutional neural network, Inertial measurement unit. Notable publications include 'Model-based convolutional neural network approach to underwater source-range estimation', 'Implementation of a Hydrodynamic Model-Based Navigation System for a Low-Cost AUV Fleet', and 'Long-Term Outcomes of the DanGer Shock Trial'.
h-index
citations
123
works
12
NIH funding
primary concept
email

Recent publications

Long-Term Outcomes of the DanGer Shock Trial
New England Journal of Medicine 2025cited by 23position: middledoi
Effect of Microaxial Flow Pump on Hemodynamics in STEMI-Related Cardiogenic Shock
Journal of the American College of Cardiology 2025cited by 13position: middledoi
Model-based convolutional neural network approach to underwater source-range estimation
The Journal of the Acoustical Society of America 2021cited by 49position: lastdoi
Passive acoustic detection and tracking of an unmanned underwater vehicle from motor noise
The Journal of the Acoustical Society of America 2021cited by 1position: lastdoi
An acoustic remote sensing method for high-precision speed estimation of micro-UUVs
The Journal of the Acoustical Society of America 2020cited by 0position: lastdoi
An information theory approach to assess acoustic-environmental significance
The Journal of the Acoustical Society of America 2019cited by 0position: lastdoi
Implementation of a Hydrodynamic Model-Based Navigation System for a Low-Cost AUV Fleet
2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV) 2018cited by 29position: lastdoi
Passive acoustic tracking for behavior mode classification between surface and underwater vehicles
2018cited by 3position: lastdoi
Passive tracking of autonomous underwater vehicles (AUVs) using a low-cost acoustic data collection system
The Journal of the Acoustical Society of America 2017cited by 1position: lastdoi
An Overview of MIT-Olin’s Approach in the AUVSI RobotX Competition
Springer tracts in advanced robotics 2016cited by 4position: middledoi
Seabed target discrimination using multistatic acoustic scattering data
The Journal of the Acoustical Society of America 2016cited by 0position: lastdoi
Assessing shear property variability in shallow water sediments using a wide aperture geophone array
The Journal of the Acoustical Society of America 2012cited by 0position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Erin M. Fischell · IIT@MIT5 papers (2016–2018)Oscar A. Víquez · IIT@MIT3 papers (2017–2019)Kristen Railey · IIT@MIT3 papers (2017–2021) · 2 papers (2020–2021)Michael R. Benjamin · Massachusetts Institute of Technology2 papers (2016–2018)John J. Leonard · Massachusetts Institute of Technology1 papers (2016–2016)Tom Miller · IIT@MIT1 papers (2016–2016)Arturo Parrales-Salinas · Tufts University1 papers (2016–2016) · 1 papers (2012–2012)Nicholas R. Rypkema · Massachusetts Institute of Technology1 papers (2018–2018) · 1 papers (2016–2016)Nick Rypkema · IIT@MIT1 papers (2016–2016)Liam Paull · Massachusetts Institute of Technology1 papers (2016–2016)Alexander L. Forrest · University of California, Davis1 papers (2018–2018)R. Chen · Massachusetts Institute of Technology1 papers (2021–2021)Michael Novitzky · Massachusetts Institute of Technology1 papers (2019–2019)Arthur D. Anderson · IIT@MIT1 papers (2016–2016)Alon Yaari · IIT@MIT1 papers (2016–2016) · 1 papers (2012–2012)Thom Howe · IIT@MIT1 papers (2016–2016)
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