Faculty

Institution

Unit

Venue

Scott Kovaleski

Professor

University of Missouri

Affiliations

College of Engineering

Electrical Engineering and Computer Science

Scott Kovaleski is currently serving as a College Of Engineering Professor at University of Missouri.

Honors

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Experiences

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Education

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Scott Kovaleski

University of Missouri

Professor

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electrical engineering applied physics materials science plasma science piezoelectricity power electronics engineering optoelectronics propulsion materials engineering instrumentation microelectronics laser ablation plasma electronics high voltage engineering ferroelectric plasma thruster surface science laser science accelerator technology plasma diagnostics electronics plasma processing gas switch laser processing technology electron beam ablation electrical insulation radio frequency piezoelectric transformer microwave technology thermal engineering metals instrument science aerospace propulsion plasma applications ferroelectric application power engineering microspacecraft propulsion experimental study computational electromagnetics radiation solid-state electronics biomedical imaging computational imaging electronic materials microwave engineering hollow cathodes ferroelectric emission cathodes flashover prevention surface instability advanced energy material energy research controlled release scientific computing tribology evolutionary multi-criterion optimization space vehicles astronautics applied plasma physics surface processing lifecycle model electronic instrumentation instrumentation engineering thermal analysis experimental analysis applied chemistry microwave antennas fractal analysis wave optics optical information processing optical engineering metallic target multipulse laser ablation piezoelectric effect ion acceleration spark gap switches laser target nuclear engineering technology fusion science machine learning fusion engineering high-energy-density matter electromagnetism

Notable Scholarly Works

Notable Federal Grants

Collaborators

Addressing Multi-Scale Challenges in Metasurface Design With Differentiable Far-Field Propagation. (2024)

Marshall B. LindsayScott D. KovaleskiAndy G. VarnerCharlie T. VealDerek T. AndersonStanton R. PriceSteven R. Price

aerospace engineeringdifferentiable far-field propagationmulti-scale challengesmetasurface designmechanical engineering

Cooperative Optimization of Neural-Network-Based Diffraction Simulations and Benchtop Spatial Light Modulators. (2024)

Marshall B. LindsayScott D. KovaleskiAndy G. VarnerCharlie T. VealDerek T. AndersonStaton R. PriceSteven R. Price

cooperative optimizationsystems engineeringapplied mathematicsneural-network-based diffraction simulationscomputer sciencecomputational neuroscience

Field Emission Performance of Carbon Nanotube Emitters Fabricated With Varying Geometries. (2024)

Connor GunterScott D. KovaleskiJunyoung ShinElizabeth BellottMatthew MaschmannBrandon Weatherford

carbon nanotube emittersfield emission performancecarbon nanotubeselectrical engineering

Field-Emission Properties of Vertically Aligned Carbon Nanotube Cathodes of Varying Geometries. IEEE Transactions on Plasma Science (2024)

Connor GunterScott D. KovaleskiJunyoung ShinElizabeth BellottMatthew MaschmannBrandon Weatherford

electrochemistrynanoelectronicsplasma sciencefield-emission propertieschemical engineeringcarbon nanotubescarbon nanotube cathodesnanoengineeringelectronicselectrical engineeringnanotechnologymechanical engineering

Generalized Comparison Assessment of Unstructured Data Using Foundation Model Features. (2024)

Charlie T. VealMarshall B. LindsayAndy G. VarnerScott D. KovaleskiDerek T. AndersonStanton R. PriceSteven R. Price

foundation model featurescomparison assessmentmachine learningdata scienceunstructured data

Time-Series Neural Networks to Predict Electromagnetic Wave Propagation. (2024)

Andy G. VarnerScott D. KovaleskiCharlie T. VealMarshall B. LindsayJunyoung ShinDerek T. AndersonStanton R. PriceSteven R. Price

electromagnetic wave propagationmachine learningtime-series neural networkstime serieselectrical engineering

Characterizing the Field Emission Properties of Vertically Aligned Carbon Nanotube Cathodes for Rf Sources. 2020 IEEE International Conference on Plasma Science (ICOPS) (2023)

C. GunterS. D. KovaleskiE. BellottM. MaschmannB. Weatherford

engineeringradio frequencyradio engineeringfield emission propertiescarbon nanotubescarbon nanotube cathodesthermal engineeringoptoelectronicsmaterials sciencenanoengineeringrf sourcesnanotechnologymechanical engineering

End-To-End Physics-Informed Deep Neural Network Optimization of Sub-Nyquist Lenses. Optics Express (2023)

Marshall B. LindsayScott D. KovaleskiAndy G. VarnerCharlie T. VealDerek T. AndersonStanton R. PriceSteven R. Price

photonicsapplied mathematicswave opticssub-nyquist lensesapplied physicsphysicsoptical information processingoptical engineeringdeep learning

Impact of Data Variety on Physics-Informed Neural Network Lens Design. (2023)

Marshall B. LindsayScott D. KovaleskiAndy G. VarnerCharlie T. VealJustice WeberDerek T. AndersonStanton R. PriceSteven R. Price

scientific computingcomputer sciencemachine learningapplied physicsphysicsdata varietydeep learning

Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers. Sensors (2023)

Elizabeth BellottYushan LiConnor GunterScott KovaleskiMatthew R. Maschmann

micromechanicsmicrofluidicssensor technologysensor designmicro-electromechanical systemscarbon-nanotube-coated microfiberssensorsmaterials scienceinstrumentationnanoengineeringelectromechanical sensitivitysensor arrayselectrical engineeringnanotechnologymechanical engineering

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Scott Kovaleski

Professor

University of Missouri

Affiliations

College of Engineering

Electrical Engineering and Computer Science

Scott Kovaleski is currently serving as a College Of Engineering Professor at University of Missouri.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Scott Kovaleski

University of Missouri

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Addressing Multi-Scale Challenges in Metasurface Design With Differentiable Far-Field Propagation. (2024)

Marshall B. LindsayScott D. KovaleskiAndy G. VarnerCharlie T. VealDerek T. AndersonStanton R. PriceSteven R. Price

aerospace engineeringdifferentiable far-field propagationmulti-scale challengesmetasurface designmechanical engineering

Cooperative Optimization of Neural-Network-Based Diffraction Simulations and Benchtop Spatial Light Modulators. (2024)

Marshall B. LindsayScott D. KovaleskiAndy G. VarnerCharlie T. VealDerek T. AndersonStaton R. PriceSteven R. Price

cooperative optimizationsystems engineeringapplied mathematicsneural-network-based diffraction simulationscomputer sciencecomputational neuroscience

Field Emission Performance of Carbon Nanotube Emitters Fabricated With Varying Geometries. (2024)

Connor GunterScott D. KovaleskiJunyoung ShinElizabeth BellottMatthew MaschmannBrandon Weatherford

carbon nanotube emittersfield emission performancecarbon nanotubeselectrical engineering

Field-Emission Properties of Vertically Aligned Carbon Nanotube Cathodes of Varying Geometries. IEEE Transactions on Plasma Science (2024)

Connor GunterScott D. KovaleskiJunyoung ShinElizabeth BellottMatthew MaschmannBrandon Weatherford

Generalized Comparison Assessment of Unstructured Data Using Foundation Model Features. (2024)

Charlie T. VealMarshall B. LindsayAndy G. VarnerScott D. KovaleskiDerek T. AndersonStanton R. PriceSteven R. Price

foundation model featurescomparison assessmentmachine learningdata scienceunstructured data

Time-Series Neural Networks to Predict Electromagnetic Wave Propagation. (2024)

Andy G. VarnerScott D. KovaleskiCharlie T. VealMarshall B. LindsayJunyoung ShinDerek T. AndersonStanton R. PriceSteven R. Price

electromagnetic wave propagationmachine learningtime-series neural networkstime serieselectrical engineering

Characterizing the Field Emission Properties of Vertically Aligned Carbon Nanotube Cathodes for Rf Sources. 2020 IEEE International Conference on Plasma Science (ICOPS) (2023)

C. GunterS. D. KovaleskiE. BellottM. MaschmannB. Weatherford

End-To-End Physics-Informed Deep Neural Network Optimization of Sub-Nyquist Lenses. Optics Express (2023)

Marshall B. LindsayScott D. KovaleskiAndy G. VarnerCharlie T. VealDerek T. AndersonStanton R. PriceSteven R. Price

photonicsapplied mathematicswave opticssub-nyquist lensesapplied physicsphysicsoptical information processingoptical engineeringdeep learning

Impact of Data Variety on Physics-Informed Neural Network Lens Design. (2023)

Marshall B. LindsayScott D. KovaleskiAndy G. VarnerCharlie T. VealJustice WeberDerek T. AndersonStanton R. PriceSteven R. Price

scientific computingcomputer sciencemachine learningapplied physicsphysicsdata varietydeep learning

Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers. Sensors (2023)

Elizabeth BellottYushan LiConnor GunterScott KovaleskiMatthew R. Maschmann

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electromagnetism

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applied physics

electrical engineering

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