Faculty

Institution

Unit

Venue

Edward P. Gatzke

Associate Professor

University of South Carolina

Affiliations

College of Engineering and Computing

Biomedical Engineering

Department of Chemical Engineering

Edward P. Gatzke is currently serving as a Biomedical Engineering Associate Professor at University of South Carolina.

Honors

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Experiences

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Education

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Edward P. Gatzke

University of South Carolina

Associate Professor

You can click a keyword to filter the displayed items

engineering systems engineering control systems materials science chemical engineering modeling and simulation automatic control industrial engineering process control engineering optimization model predictive control energy storage mathematical programming numerical simulations nonlinear control mathematical biology materials engineering diabetes power engineering powder metallurgy particle technology control engineering robust control theoretical modeling biomedical modeling high-shear granulation deterministic global optimization global optimization methods nanotechnology theoretical biology thermal engineering energy research power electronics material research advanced manufacturing technologies manufacturing science manufacturing technology nonlinear science nonlinear phenomena mathematical bioscience lithium-ion batteries system identification diabetes management process engineering fault diagnosis electrochemical power source power generation energy modeling yield optimization fundamental electrochemistry thin film processing insulin delivery material processing deterministic dynamical systems applied mathematical modelling dynamical analysis discrete dynamical systems control science conditional logic industrial chemistry propositional logic fault detection failure detection four-tank system outer approximation algorithms lithium ion battery metabolic system parameters coalescence kernels dem simulations random microstructures mechanical percolation three-dimensional evolution soft output constraints control objectives granulation system multiple models mathematical optimization operations research process information process optimization control optimization mixed integer optimization constrained optimization applied mathematics process modeling

Notable Scholarly Works

Notable Federal Grants

Collaborators

Asynchronous Switching and Sparse Discretization With Time Scaling for Control Vector Parameterization Optimal Control. Engineering Optimization (2024)

Hainan WangEdward P. Gatzke

sparse discretizationengineering optimizationengineeringcontrol optimizationcontrol systemsasynchronous switchingcontrol vector parameterization

Modeling and Time-Optimal Control of an Experimental Hybrid Dynamic System. Authorea (Authorea) (2024)

Edward GatzkeHainan Wang

time-optimal controlcontrol systemssystems engineering

Student Persistence Factors for Engineering and Computing Undergraduates. (2024)

Robert PetrulisSona GholizadehEd Gatzke

engineering educationengineeringcomputing undergraduateshigher educationstudent persistence factors

Time Scaling Transformation Avoiding Sensitivity Discontinuity for Nonlinear Optimal Control. Industrial & Engineering Chemistry Research (2023)

Hainan WangXinhong LiuEdward P. Gatzke

sensitivity discontinuityindustrial engineeringnonlinear optimal controlengineering

Introduction to Matlab. Springer eBooks (2022)

Eklas Hossain

signal processingdigital signal processingapplied mathematics

Basic Probability and Statistics. Springer eBooks (2021)

Edward Gatzke

probability theorybasic probabilitystatistics

Classification of Numerical Problems. Springer eBooks (2021)

Edward Gatzke

numerical analysiscomputational problemsapplied mathematicsnumerical problemsnumerical mathematicsnumerical algorithmsmachine learningclassification method

Engineering Modeling. Springer eBooks (2021)

Edward Gatzke

systems engineeringengineeringengineering optimizationmodeling methodengineering design processengineering modelingsystems modelingcomputational engineeringmodel-based system engineeringmodel buildingmodeling and simulationnumerical simulations

Forces and Moments. Springer eBooks (2021)

Edward Gatzke

gravityapplied mathematicsapplied physicsphysics

Introduction to Modeling and Numerical Methods for Biomedical and Chemical Engineers. Springer eBooks (2021)

Edward Gatzke

numerical methodsbiochemical engineeringchemical engineersbiomedical engineeringbiomedical modelingmodeling and simulationnumerical simulationschemical engineering

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Edward P. Gatzke

Associate Professor

University of South Carolina

Affiliations

College of Engineering and Computing

Biomedical Engineering

Department of Chemical Engineering

Edward P. Gatzke is currently serving as a Biomedical Engineering Associate Professor at University of South Carolina.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Edward P. Gatzke

University of South Carolina

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Asynchronous Switching and Sparse Discretization With Time Scaling for Control Vector Parameterization Optimal Control. Engineering Optimization (2024)

Hainan WangEdward P. Gatzke

sparse discretizationengineering optimizationengineeringcontrol optimizationcontrol systemsasynchronous switchingcontrol vector parameterization

Modeling and Time-Optimal Control of an Experimental Hybrid Dynamic System. Authorea (Authorea) (2024)

Edward GatzkeHainan Wang

time-optimal controlcontrol systemssystems engineering

Student Persistence Factors for Engineering and Computing Undergraduates. (2024)

Robert PetrulisSona GholizadehEd Gatzke

engineering educationengineeringcomputing undergraduateshigher educationstudent persistence factors

Time Scaling Transformation Avoiding Sensitivity Discontinuity for Nonlinear Optimal Control. Industrial & Engineering Chemistry Research (2023)

Hainan WangXinhong LiuEdward P. Gatzke

sensitivity discontinuityindustrial engineeringnonlinear optimal controlengineering

Introduction to Matlab. Springer eBooks (2022)

Eklas Hossain

signal processingdigital signal processingapplied mathematics

Basic Probability and Statistics. Springer eBooks (2021)

Edward Gatzke

probability theorybasic probabilitystatistics

Classification of Numerical Problems. Springer eBooks (2021)

Edward Gatzke

numerical analysiscomputational problemsapplied mathematicsnumerical problemsnumerical mathematicsnumerical algorithmsmachine learningclassification method

Engineering Modeling. Springer eBooks (2021)

Edward Gatzke

Forces and Moments. Springer eBooks (2021)

Edward Gatzke

gravityapplied mathematicsapplied physicsphysics

Introduction to Modeling and Numerical Methods for Biomedical and Chemical Engineers. Springer eBooks (2021)

Edward Gatzke

numerical methodsbiochemical engineeringchemical engineersbiomedical engineeringbiomedical modelingmodeling and simulationnumerical simulationschemical engineering

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Similar Faculty Members

Duncan Mellichamp

Institution

University of California, Santa Barbara

process engineering

industrial process control

Joel Paulson

Institution

Ohio State University

process optimization

engineering optimization

Joseph Sang-Il Kwon

Institution

Texas A&M University

chemical engineering

engineering

John Wassick

Institution

Carnegie Mellon University

engineering

smart manufacturing

Carl Laird

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Carnegie Mellon University

engineering

computational engineering

Fernando V. Lima

Institution

West Virginia University

process optimization

engineering optimization

Douglass Wilde

Institution

Stanford University

industrial optimization

process optimization

Ahmet Palazoglu

Institution

University of California, Davis

industrial engineering

process control

Nael El-Farra

Institution

University of California, Davis

nonlinear process control

process engineering

Fernando Lima

Institution

Carnegie Mellon University

sustainable energy

life cycle assessment