Faculty

Institution

Unit

Venue

Sheldon Howard Jacobson

CS professor Founder Professor in Engineering

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Sheldon Howard Jacobson is currently serving as a Siebel School Of Computing And Data Science CS professor Founder Professor in Engineering at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Sheldon Howard Jacobson

University of Illinois Urbana-Champaign

CS professor Founder Professor in Engineering

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computer science operations research systems engineering applied mathematics combinatorial optimization computational optimization mathematical optimization discrete algorithms computer engineering system safety modeling and simulation vaccines vaccination computational complexity safety design optimization discrete optimization information security physical security communicable diseases engineering optimization preventive medicine mathematical programming safety science air traffic management simulation methodology discrete-event simulation local search (optimization) global optimization vaccine safety optimization problems simulation optimization vaccine efficacy simulated annealing scheduling problems communication security stochastic dynamics system simulation vaccine development infection control heuristic search numerical algorithms branch-and-bound algorithms security management air traffic control task allocation weight disorders airport management vaccine testing obesity management variable neighborhood search air transport system security modelling combinatorial problems integer optimization local search algorithms mobility aviation security discrete modeling simulation language passenger screening united states assembly line driver behavior september 11 generalized hill combination vaccines harmonic gradient estimators optimization procedures discrete event simulation multiple comparison procedures discrete-event simulation optimization real time optimal policy childhood immunization checked baggage technology quantum computing quantum logic intelligent computing

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Framework for Analyzing the Periodically-Observed Time-Homogeneous Poisson Process. Journal of the Operational Research Society (2025)

Zachary T. HornbergerDouglas M. KingSheldon H. Jacobson

stochastic phenomenaapplied mathematicsapplied probabilitytimefrequency analysisnonlinear dynamicstime seriesstochastic processstatistics

Bias in the Ballot: How Votemandering Exploits Gerrymandering and Campaign Strategies. Annals of Operations Research (2025)

Sanyukta DeshpandeIan G. LuddenSheldon H. Jacobson

electionspoliticspublic policypolitical scienceelectronic votingsocial choicevoting rulesmart votingpolitical analysisdemocracypolitical competitionpolitical behaviorsocial sciencespolitical partiesbiascampaign strategies

Finite‐Horizon Behavior of the Periodically Observed Time‐Homogeneous Poisson Process. Naval Research Logistics (NRL) (2025)

Zachary T. HornbergerDouglas M. KingSheldon H. Jacobson

discretization errorssystems engineeringspatio-temporal modelsapplied probabilitysystems modelingpoisson processtime‐homogeneous poisson processprobability theorytime seriesstochastic processmodeling and simulationdiscrete-event simulationstatistics

A Practical Optimization Framework for Political Redistricting: A Case Study in Arizona. Socio-Economic Planning Sciences (2024)

Rahul SwamyDouglas M. KingIan G. LuddenKiera W. DobbsSheldon H. Jacobson

electionspoliticsmathematical optimizationpractical optimization frameworkpolitical redistrictingapplied mathematicspolitical methodologypolitical sciencepolitical science researchcomputational social choicecase studiespolitical analysisoperations researchpolitical competitionoptimization problems

Facilitating Compromise in Redistricting With Transfer Distance Midpoints. INFORMS Journal on Optimization (2024)

Kiera W. DobbsDouglas M. KingIan G. LuddenSheldon H. Jacobson

electionstransfer distancepolitical science researchpolitical methodologypolitical sciencecomputational social choicecomputer sciencealgorithmic efficiencyvoting rulemultiple distance metricsmathematical programmingpolitical analysisoperations researchfairnesstransfer distance midpoints

Highly Connected Graph Partitioning: Exact Formulation and Solution Methods. arXiv (Cornell University) (2024)

Swamy, RahulKing, Douglas M.Jacobson, Sheldon H.

network sciencedistributed systemsnetwork analysisgraph algorithmscombinatorial optimizationgraph partitioningcomputer sciencestructural graph theoryvertex connectivityexact formulationdiscrete algorithmsgraph theorygraph analysisnetwork algorithms

3D Geo-Graphs: Efficient Flip Verification for the Spherical Zoning Problem. Discrete Applied Mathematics (2023)

Ian G. LuddenDouglas M. KingSheldon H. Jacobson

computer-aided designgeometry processingapplied mathematicscomputational topologygeometric algorithmsgeometryefficient flip verificationcomputer sciencecomputational geometrygeometric modelinggeometric topologyspatial analysisdiscrete geometrymathematicsdelaunay triangulationgeometry and topology

A Bisection Protocol for Political Redistricting. INFORMS Journal on Optimization (2023)

Ian G. LuddenRahul SwamyDouglas M. KingSheldon H. Jacobson

electionspoliticsiowa case studypolitical science researchpolitical methodologypublic policypolitical sciencecomputational social choicebisection protocolsocial choicecontinuous nongeometric settingpolitical analysispolitical competitionmechanism design

An Optimization Case Study in Analyzing Missouri Redistricting. INFORMS Journal on Applied Analytics (2023)

Kiera W. DobbsRahul SwamyDouglas M. KingIan G. LuddenSheldon H. Jacobson

politicsoptimization case studypolitical science researchpolitical methodologypublic policypolitical sciencenew criteriafairnesspolitical studiespolitical analysispolitical behaviorconstitutional lawlegislative aspectalgorithmic fairnessconstitutional requirementspolitical geography

Approximation Algorithms for Stochastic Online Matching With Reusable Resources. Mathematical Methods of Operations Research (2023)

Meghan ShanksGe YuSheldon H. Jacobson

approximation theorygraph matchingcombinatorial optimizationonline algorithmscomputer scienceapproximation algorithmsdiscrete algorithmsonline problem

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Sheldon Howard Jacobson

CS professor Founder Professor in Engineering

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Sheldon Howard Jacobson is currently serving as a Siebel School Of Computing And Data Science CS professor Founder Professor in Engineering at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Sheldon Howard Jacobson

University of Illinois Urbana-Champaign

CS professor Founder Professor in Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Framework for Analyzing the Periodically-Observed Time-Homogeneous Poisson Process. Journal of the Operational Research Society (2025)

Zachary T. HornbergerDouglas M. KingSheldon H. Jacobson

stochastic phenomenaapplied mathematicsapplied probabilitytimefrequency analysisnonlinear dynamicstime seriesstochastic processstatistics

Bias in the Ballot: How Votemandering Exploits Gerrymandering and Campaign Strategies. Annals of Operations Research (2025)

Sanyukta DeshpandeIan G. LuddenSheldon H. Jacobson

Finite‐Horizon Behavior of the Periodically Observed Time‐Homogeneous Poisson Process. Naval Research Logistics (NRL) (2025)

Zachary T. HornbergerDouglas M. KingSheldon H. Jacobson

A Practical Optimization Framework for Political Redistricting: A Case Study in Arizona. Socio-Economic Planning Sciences (2024)

Rahul SwamyDouglas M. KingIan G. LuddenKiera W. DobbsSheldon H. Jacobson

Facilitating Compromise in Redistricting With Transfer Distance Midpoints. INFORMS Journal on Optimization (2024)

Kiera W. DobbsDouglas M. KingIan G. LuddenSheldon H. Jacobson

Highly Connected Graph Partitioning: Exact Formulation and Solution Methods. arXiv (Cornell University) (2024)

Swamy, RahulKing, Douglas M.Jacobson, Sheldon H.

3D Geo-Graphs: Efficient Flip Verification for the Spherical Zoning Problem. Discrete Applied Mathematics (2023)

Ian G. LuddenDouglas M. KingSheldon H. Jacobson

A Bisection Protocol for Political Redistricting. INFORMS Journal on Optimization (2023)

Ian G. LuddenRahul SwamyDouglas M. KingSheldon H. Jacobson

An Optimization Case Study in Analyzing Missouri Redistricting. INFORMS Journal on Applied Analytics (2023)

Kiera W. DobbsRahul SwamyDouglas M. KingIan G. LuddenSheldon H. Jacobson

Approximation Algorithms for Stochastic Online Matching With Reusable Resources. Mathematical Methods of Operations Research (2023)

Meghan ShanksGe YuSheldon H. Jacobson

approximation theorygraph matchingcombinatorial optimizationonline algorithmscomputer scienceapproximation algorithmsdiscrete algorithmsonline problem

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design optimization

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