Faculty

Institution

Unit

Venue

Ralph Smith

Distinguished University Professor

North Carolina State University

Affiliations

College of Sciences

Mathematics

Ralph Smith is currently serving as a College Of Sciences Distinguished University Professor at North Carolina State University.

Honors

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Experiences

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Education

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Ralph Smith

North Carolina State University

Distinguished University Professor

You can click a keyword to filter the displayed items

materials science applied physics engineering optical engineering electrical engineering hysteresis photonics optoelectronics materials engineering uncertainty quantification control systems magnetism automatic control material modeling magnetostrictive transducers nonlinear control acoustical engineering condensed matter physics control engineering control design vibration control piezoelectricity numerical simulations homogenized energy model model development mechanics of materials structural control active control magnetostrictive actuators hysteretic regimes thermal engineering engineering acoustic piezoceramic actuators mechanical science bayesian analysis ferromagnetism continuum modeling transducer principle acoustic modeling sensitivity analysis control system technology engineering optimization nuclear science scientific computing adaptive control control technology active vibration control piezoceramic materials smart material systems ferroelectric materials material research robust control state estimation mechanical modeling mathematical modelling structural vibrations thunder actuators stress-dependent hysteresis model experimental implementation electronics robust nonlinear control engineering structures control methods noise control material simulation fragmentation effect energy modeling bayesian inference free energy model ferroic materials sinc-galerkin method ferromagnetic hysteresis computer modeling fault-tolerant control fault detection deployable structures numerical analysis modeling and simulation applied mathematics numerical mathematics mathematical bioscience applied mathematical modelling

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Efficient, Calibrated, and Interpretable Uncertainty Quantification for Deep Learning Classification. Research Square (Research Square) (2024)

Andrew HollisKarl PazdernikAlyson WilsonRalph C. Smith

calibrationdeep learningdata classificationinterpretable uncertainty quantificationuncertainty quantificationdata sciencedeep learning classificationsensor calibrationmachine learning

Local Identifiability Analysis, Parameter Subset Selection and Verification for a Minimal Brain Pbpk Model. Bulletin of Mathematical Biology (2024)

Kamala DadashovaRalph C. SmithMansoor A. Haider

biophysicscomputational biologymathematical biosciencetheoretical biologymathematical biologyneurosciencebiometricslocal identifiability analysiscomputational neuroscienceapplied mathematics

Quantifying Collective Motion Patterns in Mesenchymal Cell Populations Using Topological Data Analysis and Agent-Based Modeling. Mathematical Biosciences (2024)

Kyle C. NguyenCarter D. JamesonScott A. BaldwinJohn T. NardiniRalph C. SmithJason M. HaughKevin B. Flores

biostatisticsmathematical bioscienceprotein sciencemathematical biologyagent-based modelingcollective motionmesenchymal cell populationscollective motion patternsquantitative biologysystems biologyapplied mathematics

Uncertainty Quantification: Theory, Implementation, and Applications, Second Edition. Society for Industrial and Applied Mathematics eBooks (2024)

Ralph C. Smith

uncertainty managementuncertainty analysisnumerical simulationsuncertain reasoningmathematicsuncertainty modelingapplied mathematical modellinguncertainty quantificationquantificationapplied mathematicsstatisticsstatistical models

Book Announcements [Bookshelf]. IEEE Control Systems (2023)

Ralph Smith

active controlsystems engineeringautomatic controlcontrol engineeringindustrial control systemscontrol architecturecontrol sciencecontrol optimizationcontrol systemsprocess controlcontrol system technologycontrol technology

Controller Design for Distributed Parameter Systems [Bookshelf]. IEEE Control Systems (2023)

Ralph C. Smith

systems engineeringcontrol engineeringcontroller designdistributed systemscontrol systemsdistributed control systemscontrol designdistributed parameter systems

Low-Cost Quantification of Fluid Flow Parameter Sensitivity Using Reduced-Order Modeling. AIAA SCITECH 2022 Forum (2023)

Harley W. HanesMichael W. LeeDonya RamezanianRalph Smith

fluid flowlow-cost quantificationmachine learningaerospace engineering

Optimal Sensor Placement in Fluid Dynamics Using Machine Learning and Sensitivity Analysis. AIAA SCITECH 2022 Forum (2023)

Harley W. HanesYury LebedevRalph SmithAlina Zare

sensitivity analysisoptimal sensor placementfluid dynamicssensor placementmachine learningaerospace engineering

Quantifying Emergent Fluid Dynamics Using Reynolds-Interpolated Fluid Reduced-Order Models. AIAA SCITECH 2023 Forum (2023)

Chris EdwardsMichael W. LeeDonya RamezanianRalph Smith

emergent fluid dynamicsfluid dynamicsaerospace engineering

Effects of Problem Complexity Reduction on Parameter Sensitivity and Classification in Charring Ablator Scenarios. Aerospace Science and Technology (2022)

Przemyslaw RostkowskiJeremie B.E. MeurisseJohn M. ThorntonRalph C. SmithMarco Panesi

mathematical optimizationcomputer scienceparameter sensitivitydescriptional complexityparameterized complexitycomputational complexityablator scenariosmathematicsparameterized algorithmsapproximate reasoningautomated reasoningtheory of computationproblem complexity reduction

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Ralph Smith

Distinguished University Professor

North Carolina State University

Affiliations

College of Sciences

Mathematics

Ralph Smith is currently serving as a College Of Sciences Distinguished University Professor at North Carolina State 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

Ralph Smith

North Carolina State University

Distinguished University Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Efficient, Calibrated, and Interpretable Uncertainty Quantification for Deep Learning Classification. Research Square (Research Square) (2024)

Andrew HollisKarl PazdernikAlyson WilsonRalph C. Smith

calibrationdeep learningdata classificationinterpretable uncertainty quantificationuncertainty quantificationdata sciencedeep learning classificationsensor calibrationmachine learning

Local Identifiability Analysis, Parameter Subset Selection and Verification for a Minimal Brain Pbpk Model. Bulletin of Mathematical Biology (2024)

Kamala DadashovaRalph C. SmithMansoor A. Haider

biophysicscomputational biologymathematical biosciencetheoretical biologymathematical biologyneurosciencebiometricslocal identifiability analysiscomputational neuroscienceapplied mathematics

Quantifying Collective Motion Patterns in Mesenchymal Cell Populations Using Topological Data Analysis and Agent-Based Modeling. Mathematical Biosciences (2024)

Kyle C. NguyenCarter D. JamesonScott A. BaldwinJohn T. NardiniRalph C. SmithJason M. HaughKevin B. Flores

Uncertainty Quantification: Theory, Implementation, and Applications, Second Edition. Society for Industrial and Applied Mathematics eBooks (2024)

Ralph C. Smith

Book Announcements [Bookshelf]. IEEE Control Systems (2023)

Ralph Smith

Controller Design for Distributed Parameter Systems [Bookshelf]. IEEE Control Systems (2023)

Ralph C. Smith

systems engineeringcontrol engineeringcontroller designdistributed systemscontrol systemsdistributed control systemscontrol designdistributed parameter systems

Low-Cost Quantification of Fluid Flow Parameter Sensitivity Using Reduced-Order Modeling. AIAA SCITECH 2022 Forum (2023)

Harley W. HanesMichael W. LeeDonya RamezanianRalph Smith

fluid flowlow-cost quantificationmachine learningaerospace engineering

Optimal Sensor Placement in Fluid Dynamics Using Machine Learning and Sensitivity Analysis. AIAA SCITECH 2022 Forum (2023)

Harley W. HanesYury LebedevRalph SmithAlina Zare

sensitivity analysisoptimal sensor placementfluid dynamicssensor placementmachine learningaerospace engineering

Quantifying Emergent Fluid Dynamics Using Reynolds-Interpolated Fluid Reduced-Order Models. AIAA SCITECH 2023 Forum (2023)

Chris EdwardsMichael W. LeeDonya RamezanianRalph Smith

emergent fluid dynamicsfluid dynamicsaerospace engineering

Effects of Problem Complexity Reduction on Parameter Sensitivity and Classification in Charring Ablator Scenarios. Aerospace Science and Technology (2022)

Przemyslaw RostkowskiJeremie B.E. MeurisseJohn M. ThorntonRalph C. SmithMarco Panesi

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design

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mechanical systems

industrial engineering

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diffusion

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