Faculty

Institution

Unit

Venue

Paul M. Goggans

Professor Emeritus

University of Mississippi

Affiliations

Ole Miss Engineering

Computer Engineering

Electrical Engineering

Paul M. Goggans is currently serving as a Computer Engineering Professor Emeritus at University of Mississippi.

Honors

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Experiences

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Education

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Paul M. Goggans

University of Mississippi

Professor Emeritus

You can click a keyword to filter the displayed items

electrical engineering computer science machine learning statistics bayesian analysis engineering bayesian inference computational electromagnetics signal processing artificial intelligence acoustical engineering radio propagation sound acoustic modeling acoustic signal processing antennas wireless propagation radio engineering statistical inference sampling microwave technology microwave engineering decay times computational statistics wave scattering model comparison thermodynamic integration entropy beamforming acoustic sensors filter design nested sampling bayesian model comparison maximum entropy methods sound energy decays reliability engineering interface science advanced dielectric speech communication bone research statistical methodology machine learning research avian biology swarm intelligence computational intelligence ornithology wireless communications target identification radio frequency identification sampling theory bayesian statistics precision measurement measure theory measurement theory lattice theory quantum theory parallel processing parallel learning haptic feedback haptic technologies stuttering surface engineering surface analysis laser-based sensor laser ultrasound bone imaging radar target identification international workshop energy decays bayesian characterization electromagnetic problems bandpass-limited sources finite-difference time-domain method decay time estimates multiple decay times cutoff wavenumbers

Notable Scholarly Works

Notable Federal Grants

Collaborators

Flexible Valveless Pump for Bio Applications. (2019)

Masoud NaghdiFarhad FarzbodPaul M. Goggans

bio applicationsbiotechnologyflexible valveless pumpmaterials science

Ti-Stan: Adaptively Annealed Thermodynamic Integration With Hmc †. (2019)

R. Wesley HendersonPaul M. Goggans

computer sciencethermodynamic integrationthermodynamics

Ti-Stan: Model Comparison Using Thermodynamic Integration and Hmc. Entropy (2019)

R. Wesley HendersonPaul M. Goggans

thermodynamic integrationmodel comparisondata scienceentropymachine learning

Using Liquid Metal in an Electromechanical Motor With Breathing Mode Motion. Journal of vibration and acoustics (2018)

Farhad FarzbodMasoud NaghdiPaul M. Goggans

vibrationsengineeringliquid metalelectromechanical motorelectrical engineeringacoustical engineeringapplied physics

Using the Z-Order Curve for Bayesian Model Comparison. Springer proceedings in mathematics & statistics (2018)

R. Wesley HendersonPaul M. Goggans

bayesian model comparisonmodel comparisonbayesian analysismathematicsstatisticsstatistical theorymachine learning researchprobability theoryz-order curveapplied mathematicsmachine learning

Bayesian Comparison of Voice Coil Impedance Models for Dynamic Loudspeakers. AIP conference proceedings (2017)

R. Wesley HendersonPaul M. Goggans

computer sciencebayesian comparisondynamic loudspeakersbayesian analysismachine learning

Combined-Chain Nested Sampling for Efficient Bayesian Model Comparison. Digital Signal Processing (2017)

R. Wesley HendersonPaul M. GoggansLei Cao

signal processingsamplingmodel comparisonbayesian analysismachine learningbayesian inferencedata sciencedigital signal processingapplied mathematicsstatistics

A Complex-Envelope Fdtd Formulation Using Alternating In-Phase and Quadrature Field Variables. IEEE Transactions on Antennas and Propagation (2015)

Paul M. GoggansQi Liu

wireless communicationswireless propagationmicrowave engineeringcomputational electromagneticsradio engineeringengineeringquadrature field variableselectrical engineeringradio propagationcomplex-envelope fdtd formulationaerospace engineering

Assigning Priors for Parameters Constrained to a Simplex Region. AIP conference proceedings (2014)

Paul M. GoggansLei CaoR. Wesley Henderson

unconstrained optimizationconstrained optimizationsimplex regionapplied mathematicsmachine learning

Design-As-Inference: Probability-Based Design of Intermodal Transportation Networks. AIP conference proceedings (2014)

Paul M. GoggansR. Wesley HendersonLei Cao

systems engineeringengineeringintermodal transportation networksprobability-based designtransport infrastructuredesigntransportation engineering

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Paul M. Goggans

Professor Emeritus

University of Mississippi

Affiliations

Ole Miss Engineering

Computer Engineering

Electrical Engineering

Paul M. Goggans is currently serving as a Computer Engineering Professor Emeritus at University of Mississippi.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Paul M. Goggans

University of Mississippi

Professor Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Flexible Valveless Pump for Bio Applications. (2019)

Masoud NaghdiFarhad FarzbodPaul M. Goggans

bio applicationsbiotechnologyflexible valveless pumpmaterials science

Ti-Stan: Adaptively Annealed Thermodynamic Integration With Hmc †. (2019)

R. Wesley HendersonPaul M. Goggans

computer sciencethermodynamic integrationthermodynamics

Ti-Stan: Model Comparison Using Thermodynamic Integration and Hmc. Entropy (2019)

R. Wesley HendersonPaul M. Goggans

thermodynamic integrationmodel comparisondata scienceentropymachine learning

Using Liquid Metal in an Electromechanical Motor With Breathing Mode Motion. Journal of vibration and acoustics (2018)

Farhad FarzbodMasoud NaghdiPaul M. Goggans

vibrationsengineeringliquid metalelectromechanical motorelectrical engineeringacoustical engineeringapplied physics

Using the Z-Order Curve for Bayesian Model Comparison. Springer proceedings in mathematics & statistics (2018)

R. Wesley HendersonPaul M. Goggans

bayesian model comparisonmodel comparisonbayesian analysismathematicsstatisticsstatistical theorymachine learning researchprobability theoryz-order curveapplied mathematicsmachine learning

Bayesian Comparison of Voice Coil Impedance Models for Dynamic Loudspeakers. AIP conference proceedings (2017)

R. Wesley HendersonPaul M. Goggans

computer sciencebayesian comparisondynamic loudspeakersbayesian analysismachine learning

Combined-Chain Nested Sampling for Efficient Bayesian Model Comparison. Digital Signal Processing (2017)

R. Wesley HendersonPaul M. GoggansLei Cao

signal processingsamplingmodel comparisonbayesian analysismachine learningbayesian inferencedata sciencedigital signal processingapplied mathematicsstatistics

A Complex-Envelope Fdtd Formulation Using Alternating In-Phase and Quadrature Field Variables. IEEE Transactions on Antennas and Propagation (2015)

Paul M. GoggansQi Liu

Assigning Priors for Parameters Constrained to a Simplex Region. AIP conference proceedings (2014)

Paul M. GoggansLei CaoR. Wesley Henderson

unconstrained optimizationconstrained optimizationsimplex regionapplied mathematicsmachine learning

Design-As-Inference: Probability-Based Design of Intermodal Transportation Networks. AIP conference proceedings (2014)

Paul M. GoggansR. Wesley HendersonLei Cao

systems engineeringengineeringintermodal transportation networksprobability-based designtransport infrastructuredesigntransportation engineering

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Institution

Ohio State University

electromagnetism

electromagnetic wave

Hai Deng

Institution

Florida International University

industrial informatics

radar signal processing

Carey Rappaport

Institution

Northeastern University

engineering

signal processing

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signal processing

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electromagnetic wave

Atef Z. Elsherbeni

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electromagnetism

electromagnetic wave

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industrial informatics

radar signal processing

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Ohio State University

earth science

remote sensing

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signal processing

numerical computation

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electromagnetic wave

electromagnetic compatibility