Faculty

Institution

Unit

Venue

Jong-Shi Pang

Epstein Family Chair and Distinguished Professor of Industrial and Systems Engineering Professor

University of Southern California

Affiliations

School of Engineering

Daniel J. Epstein Department of Industrial and Systems Engineering

Jong-shi Pang is currently serving as a Daniel J. Industrial And Systems Engineering Epstein Family Chair and Distinguished Professor of Industrial and Systems 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

Jong-Shi Pang

University of Southern California

Epstein Family Chair and Distinguished Professor of Industrial and Systems Engineering Professor

You can click a keyword to filter the displayed items

applied mathematics mathematical optimization mathematical programming mathematics operations research computational optimization complementarity problems numerical analysis systems engineering computer science machine learning game theory complementarity theory linear algebra linear programming quadratic programming convex analysis convex optimization variational analysis transportation engineering mathematical sciences optimization problems signal processing control systems transportation research constrained optimization global optimization variational inequalities continuous optimization nondifferentiable optimization equilibrium problem control optimization matrix analysis linear complementarity problem equilibrium constraints complementarity constraints automatic control engineering optimization control science matrix theory mathematical control theory nonlinear optimization nonlinear programming linear programs cognitive radio model optimization mathematical programs boundary value problems transport economics power control spectrum management transport network analysis nash equilibria iterative methods nonlinear complementarity problem linear complementarity problems transaction processing constraint solving network optimization spatial economics coulomb friction information technology machine learning research production economics sustainable production bioresource technology friction information theory support vector machines regional economics linear complementarity constraints bilevel optimization stochastic nash games individualized decision rules nonlinear complementarity problems block-structured optimization design optimization semi-infinite optimization computational mathematics mathematical economics

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Generalized Traffic Equilibrium With Ride-Hailing and Customer Waiting. (2025)

intelligent transportation systemsintelligent vehiclestraffic theorymarketingtransportation engineeringmobilitycongestion managementtraffic equilibriumtransport geographyon-demand transportlogisticsoperations research

Improving the Solution of Indefinite Quadratic Programs and Linear Programs With Complementarity Constraints by a Progressive Mip Method. Mathematical Programming Computation (2025)

design optimizationmathematical programmingprogressive mip methodnumerical analysismathematical optimizationindefinite quadratic programscomplementarity problemscomplementarity constraintslinear programmingglobal optimizationquadratic programmingapplied mathematicsmathematicsnonlinear programmingoperations research

Logarithmic Integral Optimization via Adaptive Importance Sampling Based Surrogation Methods. Mathematical Programming (2025)

large scale optimizationcomputational optimizationdesign optimizationmodel optimizationnumerical analysismathematical optimizationapproximation theorydata scienceapplied mathematicslogarithmic integral optimizationcomputational statisticscomputer sciencemonte carlo sampling

Treatment Learning With Gini Constraints by Heaviside Composite Optimization and a Progressive Method. Computational Optimization and Applications (2025)

computational optimizationmathematical programmingdesign optimizationmathematical optimizationgini constraintsoptimization problemsprogressive methodreinforcement learningtreatment planningapplied mathematicsheaviside composite optimization

A General Coupled Morning–Evening Traffic Equilibrium Model With Rideshare, Ride-Hailing, and Public Transit Services. Transportmetrica A Transport Science (2024)

Wei GuMichael ZhangMaged DessoukyJong-Shi Pang

public transit servicespublic transporttransportation engineeringmobilitytransport economicsapplied mathematicson-demand transportlogisticstransport modellingtransport sector

Analysis of a Class of Minimization Problems Lacking Lower Semicontinuity. Mathematics of Operations Research (2024)

Shaoning HanYing CuiJong-Shi Pang

optimization problemslower semicontinuityminimization problemsapplied mathematicsmathematicsoperations research

Continuous Selections of Solutions to Parametric Variational Inequalities. SIAM Journal on Optimization (2024)

Shaoning HanJong-Shi Pang

mathematical optimizationcontinuous selectionscontinuous optimizationapplied mathematicsmachine learning

On the Number of Pivots of Dantzig's Simplex Methods for Linear and Convex Quadratic Programs. Operations Research Letters (2024)

Shaoning HanXinyao ZhangJong-Shi Pang

computational optimizationmathematical programmingmathematical optimizationconvex quadratic programslinear programmingapplied mathematicsoperations research

On the Number of Pivots of Dantzig’s Simplex Methods for Linear and Convex Quadratic Programs. Operations Research Letters (2024)

linear algebramathematical programmingnumerical algorithmsmathematical optimizationcomputational complexityconvex optimizationconvex quadratic programslinear programmingapplied mathematicsconvex analysisnumerical linear algebramathematicsquadratic programming

Comparing Solution Paths of Sparse Quadratic Minimization With a Stieltjes Matrix. Mathematical Programming (2023)

Ziyu HeShaoning HanAndrés GómezYing CuiJong-Shi Pang

mathematical programmingstieltjes matrixmathematical optimizationsolution pathssparse quadratic minimizationapplied mathematicsmachine learning

1
2
3
4
5
39
10 / page

Jong-Shi Pang

Epstein Family Chair and Distinguished Professor of Industrial and Systems Engineering Professor

University of Southern California

Affiliations

School of Engineering

Daniel J. Epstein Department of Industrial and Systems Engineering

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jong-Shi Pang

University of Southern California

Epstein Family Chair and Distinguished Professor of Industrial and Systems Engineering Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Generalized Traffic Equilibrium With Ride-Hailing and Customer Waiting. (2025)

Improving the Solution of Indefinite Quadratic Programs and Linear Programs With Complementarity Constraints by a Progressive Mip Method. Mathematical Programming Computation (2025)

Logarithmic Integral Optimization via Adaptive Importance Sampling Based Surrogation Methods. Mathematical Programming (2025)

Treatment Learning With Gini Constraints by Heaviside Composite Optimization and a Progressive Method. Computational Optimization and Applications (2025)

A General Coupled Morning–Evening Traffic Equilibrium Model With Rideshare, Ride-Hailing, and Public Transit Services. Transportmetrica A Transport Science (2024)

Wei GuMichael ZhangMaged DessoukyJong-Shi Pang

public transit servicespublic transporttransportation engineeringmobilitytransport economicsapplied mathematicson-demand transportlogisticstransport modellingtransport sector

Analysis of a Class of Minimization Problems Lacking Lower Semicontinuity. Mathematics of Operations Research (2024)

Shaoning HanYing CuiJong-Shi Pang

optimization problemslower semicontinuityminimization problemsapplied mathematicsmathematicsoperations research

Continuous Selections of Solutions to Parametric Variational Inequalities. SIAM Journal on Optimization (2024)

Shaoning HanJong-Shi Pang

mathematical optimizationcontinuous selectionscontinuous optimizationapplied mathematicsmachine learning

On the Number of Pivots of Dantzig's Simplex Methods for Linear and Convex Quadratic Programs. Operations Research Letters (2024)

Shaoning HanXinyao ZhangJong-Shi Pang

computational optimizationmathematical programmingmathematical optimizationconvex quadratic programslinear programmingapplied mathematicsoperations research

On the Number of Pivots of Dantzig’s Simplex Methods for Linear and Convex Quadratic Programs. Operations Research Letters (2024)

Comparing Solution Paths of Sparse Quadratic Minimization With a Stieltjes Matrix. Mathematical Programming (2023)

Ziyu HeShaoning HanAndrés GómezYing CuiJong-Shi Pang

mathematical programmingstieltjes matrixmathematical optimizationsolution pathssparse quadratic minimizationapplied mathematicsmachine learning

1
2
3
4
5
39
10 / page

Similar Faculty Members

Lang Tong

Institution

Cornell University

network science

information theory

Alejandro Ribeiro

Institution

University of Pennsylvania

optimal design

swarm intelligence

Adrian S. Lewis

Institution

Cornell University

convex analysis

nonlinear optimization

John Mitchell

Institution

Rensselaer Polytechnic Institute

semi-definite optimization

design optimization

Arye Nehorai

Institution

Washington University in St. Louis

signal processing

health informatics

Zongli Lin

Institution

University of Virginia

nonlinear control

control system

Mihailo Jovanovic

Institution

University of Southern California

control engineering

control science

Stephen Boyd

Institution

Stanford University

control optimization

computational engineering

Nikolaos Sidiropoulos

Institution

University of Virginia

signal processing

computer science

Roger Georges Ghanem

Institution

University of Southern California

earthquake engineering

stochastic process

Similar Faculty Members

Lang Tong

Institution

Cornell University

network science

information theory

Alejandro Ribeiro

Institution

University of Pennsylvania

optimal design

swarm intelligence

Adrian S. Lewis

Institution

Cornell University

convex analysis

nonlinear optimization

John Mitchell

Institution

Rensselaer Polytechnic Institute

semi-definite optimization

design optimization

Arye Nehorai

Institution

Washington University in St. Louis

signal processing

health informatics

Zongli Lin

Institution

University of Virginia

nonlinear control

control system

Mihailo Jovanovic

Institution

University of Southern California

control engineering

control science

Stephen Boyd

Institution

Stanford University

control optimization

computational engineering

Nikolaos Sidiropoulos

Institution

University of Virginia

signal processing

computer science

Roger Georges Ghanem

Institution

University of Southern California

earthquake engineering

stochastic process