Faculty

Institution

Unit

Venue

Philip S. Marcus

Professor of Mechanical Engineering Tien-Modak Chancellor’s Chair in Engineering

University of California, Berkeley

Affiliations

College of Engineering

Aerospace Engineering

Mechanical Engineering

Philip S. Marcus is currently serving as an Aerospace Engineering Professor of Mechanical Engineering Tien-Modak Chancellor’s Chair in Engineering at University of California, Berkeley.

Honors

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Experiences

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Education

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Philip S. Marcus

University of California, Berkeley

Professor of Mechanical Engineering Tien-Modak Chancellor’s Chair in Engineering

You can click a keyword to filter the displayed items

planetary sciences astronomy fluid dynamics applied physics observational astronomy planetary science fluid mechanics planetary systems applied mathematics space weather astrophysics space science atmospheric science high-energy astrophysics great red spot planetary atmospheres solar-terrestrial interaction numerical simulations engineering optimization hydrodynamic stability physical oceanography planetary change zombie vortex instability bayesian optimization spectral theory fluid flow oval ba structural optimization mathematical optimization hydraulics chaos theory shape optimization unsteady flows planetary bodies turbulence modeling dead zones spectral method stellar convection taylor-couette flow three-dimensional vortices zonal winds zonal jet streams atmospheric research scientific computing spectroscopic methods spectral analysis wave motion astronomical image analysis shape modeling data assimilation universal aspect ratio linear analysis bayesian analysis additive manufacturing geophysical research computational optimization operational oceanography numerical algorithms climate modelling earth observation data climate projections wave theory upper atmosphere optimal transport convolutional neural networks planetary environments stellar structure numerical method for partial differential equation geometric learning natural convection distributed sensing optical engineering spectrum estimation physics-informed machine learning numerical methods wavy-vortex flow

Notable Scholarly Works

Notable Federal Grants

Collaborators

3D Solutions to the Equations of Motion of Jovian Vortices Constrained by Jwst Temperatures and Velocities Along With Hst Velocities. (2025)

A Detailed Study of Jupiter’s Great Red Spot Over a 90-Day Oscillation Cycle. The Planetary Science Journal (2024)

Amy A. SimonMichael H. WongPhillip S. MarcusPatrick G. J. Irwin

planetary sciencesplanetary science

Bayesian-Optimized Riblet Surface Design for Turbulent Drag Reduction via Design-By-Morphing With Large Eddy Simulation. Journal of Mechanical Design (2024)

Sangjoon LeeHaris Moazam SheikhDahyun D. LimGrace X. GuPhilip S. Marcus

turbulent drag reductionengineering optimizationdesignlarge eddy simulationmechanical engineeringfluid dynamicsmechanicsengineering

Perturbation Analysis of Triadic Resonance in Columnar Vortices: Selection Rules and the Roles of External Forcing and Critical Layers. arXiv (Cornell University) (2024)

Wang, JingeLee, SangjoonMarcus, Philip S.

triadic resonancefluid dynamicscolumnar vorticesparticle physicsapplied mathematics

Stable Three-Dimensional Vortex Families Consistent With Jovian Observations Including the Great Red Spot. Journal of Fluid Mechanics (2024)

Aidi ZhangPhilip S. Marcus

fluid dynamicsgreat red spotastronomyfluid mechanicsjovian observations

Airfoil Optimization Using Design-By-Morphing. Journal of Computational Design and Engineering (2023)

Haris Moazam SheikhSangjoon LeeJinge WangPhilip S Marcus

engineering optimizationcomputational engineeringairfoil optimizationaerospace engineeringengineering

Linear Stability Analysis of Wake Vortices by a Spectral Method Using Mapped Legendre Functions. Journal of Fluid Mechanics (2023)

Sangjoon LeePhilip S. Marcus

wake vorticeslinear stability analysisspectral methodfluid dynamicsfluid mechanicslegendre functionsapplied physics

Bayesian Optimization for Mixed-Variable, Multi-Objective Problems. Structural and Multidisciplinary Optimization (2022)

Haris Moazam SheikhPhilip S. Marcus

mathematical optimizationbayesian optimizationstructural optimizationapplied mathematicsmulti-objective problems

Bayesian Optimization for Multi-Objective Mixed-Variable Problems. arXiv (Cornell University) (2022)

Sheikh, Haris MoazamMarcus, Philip S.

mathematical optimizationbayesian optimizationmulti-objective mixed-variable problemsapplied mathematics

Optimization of the Shape of a Hydrokinetic Turbine’s Draft Tube and Hub Assembly Using Design-By-Morphing With Bayesian Optimization. Computer Methods in Applied Mechanics and Engineering (2022)

Haris Moazam SheikhTess A. CallanKealan J. HennessyPhilip S. Marcus

engineering optimizationmechanical engineeringmathematical optimizationbayesian optimizationcomputational mechanicsdraft tubehydrokinetic turbineapplied mathematicsengineeringshape optimization

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Philip S. Marcus

Professor of Mechanical Engineering Tien-Modak Chancellor’s Chair in Engineering

University of California, Berkeley

Affiliations

College of Engineering

Aerospace Engineering

Mechanical Engineering

Philip S. Marcus is currently serving as an Aerospace Engineering Professor of Mechanical Engineering Tien-Modak Chancellor’s Chair in Engineering at University of California, Berkeley.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Philip S. Marcus

University of California, Berkeley

Professor of Mechanical Engineering Tien-Modak Chancellor’s Chair in Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

3D Solutions to the Equations of Motion of Jovian Vortices Constrained by Jwst Temperatures and Velocities Along With Hst Velocities. (2025)

A Detailed Study of Jupiter’s Great Red Spot Over a 90-Day Oscillation Cycle. The Planetary Science Journal (2024)

Amy A. SimonMichael H. WongPhillip S. MarcusPatrick G. J. Irwin

planetary sciencesplanetary science

Bayesian-Optimized Riblet Surface Design for Turbulent Drag Reduction via Design-By-Morphing With Large Eddy Simulation. Journal of Mechanical Design (2024)

Sangjoon LeeHaris Moazam SheikhDahyun D. LimGrace X. GuPhilip S. Marcus

turbulent drag reductionengineering optimizationdesignlarge eddy simulationmechanical engineeringfluid dynamicsmechanicsengineering

Perturbation Analysis of Triadic Resonance in Columnar Vortices: Selection Rules and the Roles of External Forcing and Critical Layers. arXiv (Cornell University) (2024)

Wang, JingeLee, SangjoonMarcus, Philip S.

triadic resonancefluid dynamicscolumnar vorticesparticle physicsapplied mathematics

Stable Three-Dimensional Vortex Families Consistent With Jovian Observations Including the Great Red Spot. Journal of Fluid Mechanics (2024)

Aidi ZhangPhilip S. Marcus

fluid dynamicsgreat red spotastronomyfluid mechanicsjovian observations

Airfoil Optimization Using Design-By-Morphing. Journal of Computational Design and Engineering (2023)

Haris Moazam SheikhSangjoon LeeJinge WangPhilip S Marcus

engineering optimizationcomputational engineeringairfoil optimizationaerospace engineeringengineering

Linear Stability Analysis of Wake Vortices by a Spectral Method Using Mapped Legendre Functions. Journal of Fluid Mechanics (2023)

Sangjoon LeePhilip S. Marcus

wake vorticeslinear stability analysisspectral methodfluid dynamicsfluid mechanicslegendre functionsapplied physics

Bayesian Optimization for Mixed-Variable, Multi-Objective Problems. Structural and Multidisciplinary Optimization (2022)

Haris Moazam SheikhPhilip S. Marcus

mathematical optimizationbayesian optimizationstructural optimizationapplied mathematicsmulti-objective problems

Bayesian Optimization for Multi-Objective Mixed-Variable Problems. arXiv (Cornell University) (2022)

Sheikh, Haris MoazamMarcus, Philip S.

mathematical optimizationbayesian optimizationmulti-objective mixed-variable problemsapplied mathematics

Optimization of the Shape of a Hydrokinetic Turbine’s Draft Tube and Hub Assembly Using Design-By-Morphing With Bayesian Optimization. Computer Methods in Applied Mechanics and Engineering (2022)

Haris Moazam SheikhTess A. CallanKealan J. HennessyPhilip S. Marcus

engineering optimizationmechanical engineeringmathematical optimizationbayesian optimizationcomputational mechanicsdraft tubehydrokinetic turbineapplied mathematicsengineeringshape optimization

1
2
3
4
5
19
10 / page

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Similar Faculty Members

Philip L. Varghese

Institution

University of Texas at Austin

fluid flow

rarefied atmospheres

David B. Goldstein

Institution

University of Texas at Austin

detailed flow physics

rarefied gas dynamics

Barry D Ganapol

Institution

University of Arizona

engineering

nuclear engineering

Marco Panesi

Institution

University of Illinois Urbana-Champaign

uncertainty analysis

non-equilibrium chemistry

Laurence M Trafton

Institution

University of Texas at Austin

atmospheric science

remote sensing

James Glimm

Institution

Stony Brook University

applied mathematics

mathematical physics

Kerri Cahoy

Institution

Massachusetts Institute of Technology

astronomy

aerospace engineering

Assad Oberai

Institution

University of Southern California

mechanical engineering

computational science

Sanjiva Lele

Institution

Stanford University

unsteady flow

engineering

Nikolai Pogorelov

Institution

University of Alabama in Huntsville

numerical simulations

magnetohydrodynamics