Faculty

Institution

Unit

Venue

Jason Hicken

Associate Professor

Rensselaer Polytechnic Institute

Affiliations

School of Engineering

Department of Mechanical, Aerospace and Nuclear Engineering

Jason Hicken is currently serving as a Mechanical, Aerospace And Nuclear Engineering Associate Professor at Rensselaer Polytechnic Institute.

Honors

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Experiences

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Education

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Jason Hicken

Rensselaer Polytechnic Institute

Associate Professor

You can click a keyword to filter the displayed items

applied mathematics numerical analysis numerical mathematics numerical algorithms scientific computing mathematics numerical method for partial differential equation design optimization mathematical optimization partial differential equations computational engineering computational optimization aerospace engineering numerical computation engineering optimization computational mathematics boundary value problems aerodynamics systems engineering approximation theory aerospace numerical simulations numerical stability structural optimization aircraft derivative-free optimization difference equations multidisciplinary optimization unconstrained optimization pde-constrained optimization aircraft design process shape optimization entropy aeronautics aerostructure finite element methods computational fluid dynamics parallel programming global optimization approximation methods euler equations aeroelasticity discrete differential geometry mesh optimization aerospace technology electric machines model optimization chaotic dynamical systems validated numerics regularization (mathematics) boundary element methods constrained optimization hyperbolic conservation laws continuous optimization unsteady flows control design plant-wide control simultaneous approximation terms summation-by-parts operators mesh movement additive schwarz schwarz preconditioner schur preconditioners dual consistency continuation parameter navier-stokes equations aerodynamic shape optimization simulation infrastructure multi-physics modelling simulation framework multi-physics interaction numerical treatment multi-physics simulation stanford university unstructured entire subspace mesh-adjoint system simulation-based design

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating the Convergence of Poorly-Scaled Optimization Problems. (2025)

Habeeb B. IdrisJason E. Hicken

large scale optimizationcomputational optimizationnumerical analysismathematical optimizationpoorly-scaled optimization problemsunconstrained optimizationapplied mathematicsapproximation theory

Constructing Stable, High-Order Finite-Difference Operators on Point Clouds Over Complex Geometries. Journal of Computational Physics (2025)

Jason HickenGe YanSharanjeet Kaur

scientific computingdifferential geometrycomputational mathematicsnumerical algorithmsnumerical analysiscomputational geometrydifference equationsboundary value problemsnumerical stabilitypoint cloudsdiscrete differential geometrydiscrete geometrycomplex geometriesapplied mathematicsnumerical computationhigh-order finite-difference operatorsmathematicsnumerical method for partial differential equation

Development and Validation of a Model for 3D-Printed, Stainless-Steel Heat Sinks With Micro-Channel Evaporators. (2025)

Vignesh RamakrishnanMohammad ArifAlexandra M. VestDavid W. AlfanoAndrew G. LittlefieldJason HickenSandipan MishraShankar Narayan

materials scienceadditive manufacturingmechanical engineeringmicrofabricationmanufacturing technologyheat mass transferthermal engineeringheat transfer enhancementthermal modelingstainless-steel heat sinksmicro-channel evaporatorsadvanced manufacturing technologiesheat pipes3d printingheat transferengineeringmanufacturing

Robust Design Optimization With Gradient-Based Surrogates and Adaptive Sampling. Structural and Multidisciplinary Optimization (2025)

Garo BedonianJason E. HickenEdwin Forster

robust design optimizationcomputational optimizationdesign optimizationdesignmathematical optimizationderivative-free optimizationdesign space explorationapplied mathematicsrobust optimization

Tensor-Product Split-Simplex Summation-By-Parts Operators. Journal of Computational Physics (2025)

Zelalem Arega WorkuJason E. HickenDavid W. Zingg

scientific computinglinear algebraoperator theorycomputational mathematicsnumerical algorithmsmathematical programmingmatrix theorymathematical sciencesoperator algebrasmultilinear subspace learningspectral theoryapplied mathematicssplit-simplex summation-by-parts operatorsnumerical linear algebramathematics

Very High-Order Symmetric Positive-Interior Quadrature Rules on Triangles and Tetrahedra. Journal of Computational and Applied Mathematics (2025)

Zelalem Arega WorkuJason E. HickenDavid W. Zingg

polyhedrongeometric analysisdifferential geometrycomputational mathematicsnumerical mathematicsdelaunay triangulationcomputational geometrygeometrygeometry and topologydiscrete geometryapplied mathematicsmathematics

A Method to Regularize Optimization Problems Governed by Chaotic Dynamical Systems. Chaos Solitons & Fractals (2024)

Jason HickenVignesh Ramakrishnan

system optimizationcomputational optimizationdesign optimizationmathematical optimizationoptimization problemsdynamical systemsdynamic optimizationchaotic dynamical systemsapplied mathematicsnonlinear optimization

Constructing Ilu Preconditioners for Advection-Dominated Problems Using Graph Neural Networks. (2024)

Soha YusufJason E. HickenShaowu Pan

scientific computingcomputational optimizationnumerical algorithmsnumerical analysisnumerical mathematicsgraph neural networksilu preconditionerspartial differential equationsnumerical computationcomputer sciencenumerical linear algebraapplied mathematicsnumerical method for partial differential equation

Electrothermal Coupling Methodologies and Their Influence on the Optimization of Aircraft Electric Motors. AIAA Journal (2024)

Tucker BabcockBryan McKeeverJason E. Hicken

aerospace technologycontrol optimizationaircraft design processaerospaceelectrothermal couplingperformance predictioncontrol systemsdesign optimizationengineering optimizationaircraftmultidisciplinary optimizationaerospace engineeringcomputational engineeringstructural optimizationfeedback couplingsystems engineeringaerospace systemsaerospace propulsionengineering

Experimental Evaluation of Heat Transfer and Pressure Drop in an Additively Manufactured Evaporator Channel Using Water as Working Fluid. (2024)

Mohammad ArifToochukwu AkaVignesh RamakrishnanJason Edward HickenSandipan MishraShankar Narayan

mechanical engineeringheat mass transferthermal engineeringheat exchangersheat transfer enhancementcircular channelheat transfer processabstract additive manufacturingthermodynamicsengineeringheat transfer

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Jason Hicken

Associate Professor

Rensselaer Polytechnic Institute

Affiliations

School of Engineering

Department of Mechanical, Aerospace and Nuclear Engineering

Jason Hicken is currently serving as a Mechanical, Aerospace And Nuclear Engineering Associate Professor at Rensselaer Polytechnic Institute.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jason Hicken

Rensselaer Polytechnic Institute

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating the Convergence of Poorly-Scaled Optimization Problems. (2025)

Habeeb B. IdrisJason E. Hicken

large scale optimizationcomputational optimizationnumerical analysismathematical optimizationpoorly-scaled optimization problemsunconstrained optimizationapplied mathematicsapproximation theory

Constructing Stable, High-Order Finite-Difference Operators on Point Clouds Over Complex Geometries. Journal of Computational Physics (2025)

Jason HickenGe YanSharanjeet Kaur

Development and Validation of a Model for 3D-Printed, Stainless-Steel Heat Sinks With Micro-Channel Evaporators. (2025)

Vignesh RamakrishnanMohammad ArifAlexandra M. VestDavid W. AlfanoAndrew G. LittlefieldJason HickenSandipan MishraShankar Narayan

Robust Design Optimization With Gradient-Based Surrogates and Adaptive Sampling. Structural and Multidisciplinary Optimization (2025)

Garo BedonianJason E. HickenEdwin Forster

robust design optimizationcomputational optimizationdesign optimizationdesignmathematical optimizationderivative-free optimizationdesign space explorationapplied mathematicsrobust optimization

Tensor-Product Split-Simplex Summation-By-Parts Operators. Journal of Computational Physics (2025)

Zelalem Arega WorkuJason E. HickenDavid W. Zingg

Very High-Order Symmetric Positive-Interior Quadrature Rules on Triangles and Tetrahedra. Journal of Computational and Applied Mathematics (2025)

Zelalem Arega WorkuJason E. HickenDavid W. Zingg

A Method to Regularize Optimization Problems Governed by Chaotic Dynamical Systems. Chaos Solitons & Fractals (2024)

Jason HickenVignesh Ramakrishnan

Constructing Ilu Preconditioners for Advection-Dominated Problems Using Graph Neural Networks. (2024)

Soha YusufJason E. HickenShaowu Pan

Electrothermal Coupling Methodologies and Their Influence on the Optimization of Aircraft Electric Motors. AIAA Journal (2024)

Tucker BabcockBryan McKeeverJason E. Hicken

Experimental Evaluation of Heat Transfer and Pressure Drop in an Additively Manufactured Evaporator Channel Using Water as Working Fluid. (2024)

Mohammad ArifToochukwu AkaVignesh RamakrishnanJason Edward HickenSandipan MishraShankar Narayan

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Daniel J Bodony

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intelligent structure design

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