Faculty

Institution

Unit

Venue

Erik A Johnson

Professor of Civil and Environmental Engineering Professor

University of Southern California

Affiliations

School of Engineering

Sonny Astani Department of Civil and Environmental Engineering

Erik A Johnson is currently serving as a School Of Engineering Professor of Civil and Environmental Engineering Professor at University of Southern California.

Honors

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Experiences

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Education

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Erik A Johnson

University of Southern California

Professor of Civil and Environmental Engineering Professor

You can click a keyword to filter the displayed items

systems engineering engineering structural engineering structural control vibration control mechanical engineering control systems vibrations structural safety civil engineering structural health monitoring structural mechanics engineering structures structural identification active control stability building engineering structural analysis active vibration control dynamical systems seismic isolation automatic control structural vibrations system safety nonlinear dynamics health monitoring structural dynamics structural systems scientific computing control design vibration isolation passive energy dissipation numerical analysis passive control control engineering substructure identification intelligent building shear structures bridge engineering sensitivity analysis system identification semiactive damping building automation smart systems parallel programming nonlinear phenomena stochastic dynamical systems structural integrity smart structures monitoring technology efficient optimal design structural damage detection damage detection monte carlo simulation condition monitoring large-scale simulations numerical method for partial differential equation control system security stay cables improved damping lmi synthesis engineering science difference equations stochastic differential equations massively-parallel computing nonlinear hyperbolic problem smart base-isolated benchmark passive damping building control bilinear isolation smart dampers normalizing flows internet computing underground construction computer-aided engineering benchmark studies engineering optimization probabilistic structural fire engineering control optimization

Notable Scholarly Works

Notable Federal Grants

Collaborators

Likelihood Level Adapted Estimation of Marginal Likelihood for Bayesian Model Selection. Computer Methods in Applied Mechanics and Engineering (2025)

bayesian statisticsbiostatisticsstatistical methodologyinferencebayesian model selectionbayesian inferencelikelihood levelmodel selectionmarginal likelihoodstatistical inferencebayesian analysisstatisticsstatistical models

Model Falsification From a Bayesian Viewpoint With Applications to Parameter Inference and Model Selection of Dynamical Systems. Journal of Engineering Mechanics (2024)

Agnimitra DasguptaErik A. Johnson

model falsificationbayesian viewpointengineeringmodel selectionapplied mathematics

Work in Progress: Engaging First-Year Engineering Students Through Makerspace Project-Based Pedagogy. (2024)

Gisele RagusaErik Johnson

engineering educationengineeringmakerspace project-based pedagogy

A Dimension-Reduced Variational Approach for Solving Physics-Based Inverse Problems Using Generative Adversarial Network Priors and Normalizing Flows. Computer Methods in Applied Mechanics and Engineering (2023)

Agnimitra DasguptaDhruv V. PatelDeep RayErik A. JohnsonAssad A. Oberai

engineeringnumerical analysisscientific computingmachine learningvariational analysisphysics-based inverse problemsinverse problemsnormalizing flowsapplied physicsapplied mathematicscomputational mechanics

Modeling and Model Updating of a Full-Scale Experimental Base-Isolated Building. Engineering Structures (2023)

Tianhao YuErik A. JohnsonPatrick T. BrewickRichard E. ChristensonEiji SatoTomohiro Sasaki

building engineeringengineeringmodel updatingstructural engineeringarchitectural engineeringengineering structures

REIN: Reliability Estimation via Importance Sampling With Normalizing Flows. Reliability Engineering & System Safety (2023)

Agnimitra DasguptaErik A. Johnson

normalizing flowsreliability estimationreliability engineeringstatisticsreliability

A Deep Reinforcement Learning Approach to Sensor Placement Under Uncertainty. IFAC-PapersOnLine (2022)

Amin JabiniErik A Johnson

artificial intelligencesystems engineeringsensor placementdeep reinforcement learningreinforcement learningmachine learning

Real-Time Neural Network Based Semiactive Model Predictive Control of Structural Vibrations. Computers & Structures (2022)

Tianhao YuZeyu MuErik A. Johnson

computer sciencesystems engineeringautomatic controlreal-time neural networkperformance predictionengineeringcyberneticscontrol systemsmodel predictive controlmachine learning

An Efficient Strategy for Material Heterogeneity Inference Utilizing Multi-Modal Measurements. 16th U.S. National Congress on Computational Mechanics (USNCCM16), Chicago, IL (virtual) (2021)

biostatisticsstatistical methodologymixture analysismixture distributioncomputational statisticsdata scienceefficient strategystatistical inferencestatisticshigh-dimensional statistics

Deep Learning of Surrogate Models From Un-Falsified Physics. SIAM Conference on Computational Science and Engineering (CSE21), Fort Worth, Texas (2021)

physic aware machine learningdeep learningai foundationneural network (machine learning)computational intelligencedata sciencedata surrogateapplied mathematicsmachine learning

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Erik A Johnson

Professor of Civil and Environmental Engineering Professor

University of Southern California

Affiliations

School of Engineering

Sonny Astani Department of Civil and Environmental Engineering

Erik A Johnson is currently serving as a School Of Engineering Professor of Civil and Environmental Engineering Professor at University of Southern California.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Erik A Johnson

University of Southern California

Professor of Civil and Environmental Engineering Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Likelihood Level Adapted Estimation of Marginal Likelihood for Bayesian Model Selection. Computer Methods in Applied Mechanics and Engineering (2025)

Model Falsification From a Bayesian Viewpoint With Applications to Parameter Inference and Model Selection of Dynamical Systems. Journal of Engineering Mechanics (2024)

Agnimitra DasguptaErik A. Johnson

model falsificationbayesian viewpointengineeringmodel selectionapplied mathematics

Work in Progress: Engaging First-Year Engineering Students Through Makerspace Project-Based Pedagogy. (2024)

Gisele RagusaErik Johnson

engineering educationengineeringmakerspace project-based pedagogy

Agnimitra DasguptaDhruv V. PatelDeep RayErik A. JohnsonAssad A. Oberai

Modeling and Model Updating of a Full-Scale Experimental Base-Isolated Building. Engineering Structures (2023)

Tianhao YuErik A. JohnsonPatrick T. BrewickRichard E. ChristensonEiji SatoTomohiro Sasaki

building engineeringengineeringmodel updatingstructural engineeringarchitectural engineeringengineering structures

REIN: Reliability Estimation via Importance Sampling With Normalizing Flows. Reliability Engineering & System Safety (2023)

Agnimitra DasguptaErik A. Johnson

normalizing flowsreliability estimationreliability engineeringstatisticsreliability

A Deep Reinforcement Learning Approach to Sensor Placement Under Uncertainty. IFAC-PapersOnLine (2022)

Amin JabiniErik A Johnson

artificial intelligencesystems engineeringsensor placementdeep reinforcement learningreinforcement learningmachine learning

Real-Time Neural Network Based Semiactive Model Predictive Control of Structural Vibrations. Computers & Structures (2022)

Tianhao YuZeyu MuErik A. Johnson

computer sciencesystems engineeringautomatic controlreal-time neural networkperformance predictionengineeringcyberneticscontrol systemsmodel predictive controlmachine learning

An Efficient Strategy for Material Heterogeneity Inference Utilizing Multi-Modal Measurements. 16th U.S. National Congress on Computational Mechanics (USNCCM16), Chicago, IL (virtual) (2021)

biostatisticsstatistical methodologymixture analysismixture distributioncomputational statisticsdata scienceefficient strategystatistical inferencestatisticshigh-dimensional statistics

Deep Learning of Surrogate Models From Un-Falsified Physics. SIAM Conference on Computational Science and Engineering (CSE21), Fort Worth, Texas (2021)

physic aware machine learningdeep learningai foundationneural network (machine learning)computational intelligencedata sciencedata surrogateapplied mathematicsmachine learning

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10 / page

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actuation

mechanical systems

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Institution

University of Southern California

nonlinear process

control system

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Carnegie Mellon University

infrastructure management

risk management

Douglas Adams

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engineering

structural dynamic

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earthquake engineering

stochastic process

Firdaus Erach Udwadia

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earthquake engineering

applied mechanics

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computer aided diagnosis

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systems engineering

robotics

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