Faculty

Institution

Unit

Venue

Brian Mann

Professor

Duke University

Affiliations

Pratt School of Engineering

Electrical & Computer Engineering

Mechanical Engineering & Materials Science

Brian Mann is currently serving as an Electrical & Computer Engineering Professor at Duke University.

Honors

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Experiences

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Education

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Brian Mann

Duke University

Professor

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mechanical engineering engineering applied physics vibrations energy harvesting electrical engineering acoustical engineering manufacturing manufacturing technology stability manufacturing engineering engineering acoustic fluid dynamics instrumentation dynamical systems stability analysis material machining physical acoustics piezoelectricity vibration control precision engineering metal processing manufacturing science electromagnetism advanced manufacturing technologies automatic control numerical simulations bioacoustics experimental study machine tool experimental analysis numerical stability micro-electromechanical systems sport engineering uncertainty propagation high-speed milling spectral element method nonlinear science human physiology bifurcation theory chatter instability experimental investigation engineering optimization nonlinear phenomena control engineering nonlinear system identification deep reinforcement learning parameter identification energy generation biomedical modeling nonlinear vibrations chaos theory system stability bistable potential well surface location error dynamic response nonlinear model delay equations attractor selection periodic delay systems heart rate dynamics impact oscillator removal rate tribology spectral theory surgical education mathematical sciences mechanical science applied physiology aeroelasticity production technologies abrasive machining control science magnetic devices energy modeling mathematical modelling nonlinear mechanical system application areas nonlinear resonance dynamical systems theory

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Improved Magnetically Bistable Piezoelectric Energy Harvester. (2024)

Carolyn FultonBrian BernardBrian Mann

technologyenergy harvestingmechanical engineeringthermal engineeringapplied physicspiezoelectricitypiezoelectric materials

Comparison of Data-Driven Methods on Discovering the Dynamics of the Unforced Multi-Axis Cart System. Conference proceedings of the Society for Experimental Mechanics (2024)

Hunter R. KramerSam A. MooreBrian P. Mann

data-driven methodsmechanicsexperimental mechanicsmechanical engineering

Quantifying Differences Between Mimo and Siso Testing on the Barc Structure. Conference proceedings of the Society for Experimental Mechanics (2024)

Hunter R. KramerJohn F. SchultzeShannon M. DanforthBrian P. Mann

mechanical engineeringmechanicsbarc structuremimo systemexperimental mechanics

Tibiofemoral Cartilage Strain and Recovery Following a 3-Mile Run Measured Using Deep Learning Segmentation of Bone and Cartilage. Osteoarthritis and Cartilage Open (2024)

Patrick X BradleySophia Y Kim-WangBrooke S BlaisdellAlexie D RiofrioAmber T CollinsLauren N HeckelmanEziamaka C ObunadikeMargaret R WidmyerChinmay S ParanjapeBryan S CrookNimit K LadEdward G SutterBrian P MannCharles E SpritzerLouis E DeFrate

bone healthosteoarthritiscartilagetibiofemoral cartilage strain

3D Laser-And-Tissue Agnostic Data-Driven Method for Robotic Laser Surgical Planning. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)

Guangshen MaRavi PrakashBrian MannWeston RossPatrick Codd

laser processing technologyengineeringlaser scienceroboticsdata scienceprecision engineeringtissue engineeringbiomedical engineering

Linear Electrostatic Oscillator With Viscous Damping. (2023)

Kip D. CoonleyHammond HumberBrian P. Mann

oscillation theoryengineeringlinear electrostatic oscillatorfluid dynamicsapplied physicselectrical engineering

Stability Prediction via Parameter Estimation From Milling Time Series. Journal of Sound and Vibration (2023)

James D. TurnerSamuel A. MooreBrian P. Mann

parameter estimationstability predictiontime seriesvibrationsmechanical engineeringapplied mathematics

Strategies for Improving the Comparison of Frequency Response Functions With Similarity Metrics. Conference proceedings of the Society for Experimental Mechanics (2023)

Hunter R. KramerLevi H. ManringJohn F. SchultzeSandra J. ZimmermanBrian P. Mann

engineeringmachine learningfrequency response functionsperformance comparisonsimilarity metricsapplied physicsmodel comparison

A Model-Free Sampling Method for Basins of Attraction Using Hybrid Active Learning (Hal). Communications in Nonlinear Science and Numerical Simulation (2022)

Xue-She WangSamuel A. MooreJames D. TurnerBrian P. Mann

numerical simulationsmodel-free sampling methodmachine learningapplied mathematicshybrid active learning

A Parameter Study of the Matrix Power Control Algorithm. Conference proceedings of the Society for Experimental Mechanics (2022)

Levi H. ManringBrian P. MannJohn F. Schultze

parameter studyengineeringmechanical engineeringdeformation

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Brian Mann

Professor

Duke University

Affiliations

Pratt School of Engineering

Electrical & Computer Engineering

Mechanical Engineering & Materials Science

Brian Mann is currently serving as an Electrical & Computer Engineering Professor at Duke University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Brian Mann

Duke University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Improved Magnetically Bistable Piezoelectric Energy Harvester. (2024)

Carolyn FultonBrian BernardBrian Mann

technologyenergy harvestingmechanical engineeringthermal engineeringapplied physicspiezoelectricitypiezoelectric materials

Comparison of Data-Driven Methods on Discovering the Dynamics of the Unforced Multi-Axis Cart System. Conference proceedings of the Society for Experimental Mechanics (2024)

Hunter R. KramerSam A. MooreBrian P. Mann

data-driven methodsmechanicsexperimental mechanicsmechanical engineering

Quantifying Differences Between Mimo and Siso Testing on the Barc Structure. Conference proceedings of the Society for Experimental Mechanics (2024)

Hunter R. KramerJohn F. SchultzeShannon M. DanforthBrian P. Mann

mechanical engineeringmechanicsbarc structuremimo systemexperimental mechanics

Tibiofemoral Cartilage Strain and Recovery Following a 3-Mile Run Measured Using Deep Learning Segmentation of Bone and Cartilage. Osteoarthritis and Cartilage Open (2024)

bone healthosteoarthritiscartilagetibiofemoral cartilage strain

3D Laser-And-Tissue Agnostic Data-Driven Method for Robotic Laser Surgical Planning. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)

Guangshen MaRavi PrakashBrian MannWeston RossPatrick Codd

laser processing technologyengineeringlaser scienceroboticsdata scienceprecision engineeringtissue engineeringbiomedical engineering

Linear Electrostatic Oscillator With Viscous Damping. (2023)

Kip D. CoonleyHammond HumberBrian P. Mann

oscillation theoryengineeringlinear electrostatic oscillatorfluid dynamicsapplied physicselectrical engineering

Stability Prediction via Parameter Estimation From Milling Time Series. Journal of Sound and Vibration (2023)

James D. TurnerSamuel A. MooreBrian P. Mann

parameter estimationstability predictiontime seriesvibrationsmechanical engineeringapplied mathematics

Strategies for Improving the Comparison of Frequency Response Functions With Similarity Metrics. Conference proceedings of the Society for Experimental Mechanics (2023)

Hunter R. KramerLevi H. ManringJohn F. SchultzeSandra J. ZimmermanBrian P. Mann

engineeringmachine learningfrequency response functionsperformance comparisonsimilarity metricsapplied physicsmodel comparison

A Model-Free Sampling Method for Basins of Attraction Using Hybrid Active Learning (Hal). Communications in Nonlinear Science and Numerical Simulation (2022)

Xue-She WangSamuel A. MooreJames D. TurnerBrian P. Mann

numerical simulationsmodel-free sampling methodmachine learningapplied mathematicshybrid active learning

A Parameter Study of the Matrix Power Control Algorithm. Conference proceedings of the Society for Experimental Mechanics (2022)

Levi H. ManringBrian P. MannJohn F. Schultze

parameter studyengineeringmechanical engineeringdeformation

1
2
3
4
5
20
10 / page

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