• 2358 Citations
  • 23 h-Index
1984 …2023
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Fingerprint Dive into the research topics where Mark N Glauser is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Decomposition Engineering & Materials Science
Flow control Engineering & Materials Science
Velocity measurement Engineering & Materials Science
Mach number Engineering & Materials Science
Flow fields Engineering & Materials Science
Turbulent flow Engineering & Materials Science
Airfoils Engineering & Materials Science
Feedback control Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2002 2023

Research Output 1984 2019

Jet noise prediction via low-order machine learning

Ruscher, C. J., Gogineni, S., Tenney, A. & Glauser, M. N., Jan 1 2019, AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Scitech 2019 Forum).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Acoustic emissions
Decomposition
Acoustic variables control
Audition

Stochastic estimation using modern methods in machine learning

Tenney, A. S., Glauser, M. N. & Berger, Z. P., Jan 1 2019, AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Scitech 2019 Forum).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Pressure transducers
Pressure measurement
Network architecture
Mean square error

Velocity estimation in the mixing layer of a subsonic jet using artificial neural networks

Tenney, A. S., Glauser, M. N. & Berger, Z. P., Jan 1 2019.

Research output: Contribution to conferencePaper

artificial neural network
Neural networks
Velocity measurement
Eigenvalues and eigenfunctions
flow field
1 Citation (Scopus)

A deep learning approach to jet noise prediction

Tenney, A. S., Glauser, M. N., Lewalle, J. & Ruscher, C. J., Jan 1 2018, AIAA Aerospace Sciences Meeting. 210059 ed. American Institute of Aeronautics and Astronautics Inc, AIAA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Scaling laws
Network architecture
Mach number
Nozzles
Geometry
2 Citations (Scopus)

Data fusion to improve supersonic jet data

Ruscher, C. J., Gogineni, S., Magstadt, A. S., Berry, M. G. & Glauser, M. N., Jan 1 2018, AIAA Aerospace Sciences Meeting. 210059 ed. American Institute of Aeronautics and Astronautics Inc, AIAA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data fusion
Aircraft
Engines
Experiments

Press and Media

Instead of a wall, what if we built an energy corridor?

Mark N Glauser

3/15/19

1 item of Media coverage

Press/Media: Expert Comment

Scientists propose energy park instead of border wall

Mark N Glauser

3/6/19

1 item of Media coverage

Press/Media: Expert Comment

What if a border wall could pay for itself?

Mark N Glauser

3/5/19

1 item of Media coverage

Press/Media: Expert Comment

What If a Border Wall Could Pay for Itself?

Mark N Glauser

3/5/19

1 item of Media coverage

Press/Media: Expert Comment