Faculty

Institution

Unit

Venue

Phebe Vayanos

Andrew and Erna Viterbi Early Career Chair and Associate Professor of Industrial and Systems Engineering and Computer Science

University of Southern California

Affiliations

School of Engineering

Daniel J. Epstein Department of Industrial and Systems Engineering

Phebe Vayanos is currently serving as a Daniel J. Industrial And Systems Engineering Andrew and Erna Viterbi Early Career Chair and Associate Professor of Industrial and Systems Engineering and Computer Science at University of Southern California.

Honors

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Experiences

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Education

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Phebe Vayanos

University of Southern California

Andrew and Erna Viterbi Early Career Chair and Associate Professor of Industrial and Systems Engineering and Computer Science

You can click a keyword to filter the displayed items

computer science machine learning data science artificial intelligence systems engineering computational intelligence behavioral sciences robust optimization information security mathematical optimization computer security signal processing game theory youth services machine learning research decision tree learning social networks homeless youth security games adolescent health resource allocation risk management decision science decision trees resource policy management science data security adversarial machine learning computational learning theory supervised learning nonlinear signal processing observational data human-computer interaction engineering optimization information discovery geometric learning signal detection policy development fair resource allocation youth justice applied artificial intelligence housing resources housing systems rapid re-housing online detection substance abuse prevention strategic studies sustainable development health planning speech processing logic in computer science cyber conflict adaptive control cyberwarfare constraint programming adaptive learning development policy urban policy human-machine interaction queueing theory transportation planning transport sector transportation research transport economics public transport cognitive modeling adult development adolescent psychology non-discriminative decision-making cyber adversaries fair influence maximization multi-stage stochastic programming decision rules multi-stage robust optimization hybrid filters interpretable policies operations research computational economics intelligent computing technological forecasting mathematical economics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Conserving Biodiversity via Adjustable Robust Optimization. European Journal of Operational Research (EJOR) (2025)

biological conservationbiodiversityconservation scienceadjustable robust optimizationglobal optimizationbiodiversity conservationconservation biologyecologybiodiversity protection

Data-Driven Multistage Robust Classification With Fairness Constraints. Operations Research (2025)

fairnessmathematical optimizationdata miningcost-sensitive machine learningfairness constraintspattern recognitionmachine learning researchdata sciencecomputational intelligencedata classificationalgorithmic fairnessmachine learningcomputer science

Mixed-Feature Logistic Regression Robust to Distribution Shifts. Proceedings of the Artificial Intelligence and Statistics Conference (AISTATS’25) (2025)

distribution shiftsrobust statisticsapplied statisticsshift detectionstatisticsstatistical methodologymachine learning researchdata sciencecomputational statisticslogistic regressionmodel selectionstatistical models

Responsible Machine Learning via Mixed-Integer Optimization. (2025)

mathematical optimizationresponsible machine learningartificial intelligenceintelligent computingcost-sensitive machine learningmachine learning researchdata sciencecomputational intelligencemachine learningcomputer science

Robust Multi-Stakeholder Preference Elicitation and Aggregation. Operations Research (2025)

multi-stakeholder researchmechanism designmanagementdecision sciencestakeholder managementgroup decisionmanagement decisionsdecision theorystakeholder analysismanagement sciencesocial choice

Robust Optimization With Decision-Dependent Information Discovery. Management Science (2025)

Phebe VayanosAngelos GeorghiouHan Yu

robust optimizationmachine learninginformation discoverydecision-dependent information discovery

Artificial Intelligence / Operations Research Workshop III. (2024)

systems engineeringindustrial artificial intelligenceoperational systemsoperation managementintelligent systemscomputational intelligencecomputer scienceoperations research

Distributionally Robust Optimization With Decision-Dependent Information Discovery. arXiv (Cornell University) (2024)

Jin, QingGeorghiou, AngelosVayanos, PhebeHanasusanto, Grani A.

uncertainty analysisuncertainty quantificationcomputational optimizationmathematical programmingmathematical optimizationoptimization problemsdata sciencerobust optimizationdata-driven optimizationcomputer sciencedecomposition algorithmdecision-dependent information discoveryoperations research

Interpretable Causal Predictive and Prescriptive Analytics Robust to Unobserved Con-Founders. USC-Meta Center for Research and Education in AI and Learning (2024)

causal reasoningpredictive analyticscausalitycausal inferencebusiness intelligenceanalyticsbusinesscausal modelsstatisticsinferencebusiness analyticsdata sciencebusiness researchprescriptive analyticsprescriptive analytics robustmanagement sciencedata-driven innovations

Learning Fair Policies for Multi-Stage Selection Problems From Observational Data. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Zhuangzhuang JiaGrani A. HanasusantoPhebe VayanosWeijun Xie

sequential decision makingobservational datafairnessmathematical optimizationstatistical learning theoryoptimization problemscausal inferencedecision sciencefair policiesstatistical inferencedecision theorystatisticsinferencemachine learning researchdata sciencestatistical methodologyalgorithmic fairnessmulti-stage selection problems

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Phebe Vayanos

Andrew and Erna Viterbi Early Career Chair and Associate Professor of Industrial and Systems Engineering and Computer Science

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

Phebe Vayanos

University of Southern California

Andrew and Erna Viterbi Early Career Chair and Associate Professor of Industrial and Systems Engineering and Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Conserving Biodiversity via Adjustable Robust Optimization. European Journal of Operational Research (EJOR) (2025)

biological conservationbiodiversityconservation scienceadjustable robust optimizationglobal optimizationbiodiversity conservationconservation biologyecologybiodiversity protection

Data-Driven Multistage Robust Classification With Fairness Constraints. Operations Research (2025)

Mixed-Feature Logistic Regression Robust to Distribution Shifts. Proceedings of the Artificial Intelligence and Statistics Conference (AISTATS’25) (2025)

Responsible Machine Learning via Mixed-Integer Optimization. (2025)

Robust Multi-Stakeholder Preference Elicitation and Aggregation. Operations Research (2025)

multi-stakeholder researchmechanism designmanagementdecision sciencestakeholder managementgroup decisionmanagement decisionsdecision theorystakeholder analysismanagement sciencesocial choice

Robust Optimization With Decision-Dependent Information Discovery. Management Science (2025)

Phebe VayanosAngelos GeorghiouHan Yu

robust optimizationmachine learninginformation discoverydecision-dependent information discovery

Artificial Intelligence / Operations Research Workshop III. (2024)

systems engineeringindustrial artificial intelligenceoperational systemsoperation managementintelligent systemscomputational intelligencecomputer scienceoperations research

Distributionally Robust Optimization With Decision-Dependent Information Discovery. arXiv (Cornell University) (2024)

Jin, QingGeorghiou, AngelosVayanos, PhebeHanasusanto, Grani A.

Interpretable Causal Predictive and Prescriptive Analytics Robust to Unobserved Con-Founders. USC-Meta Center for Research and Education in AI and Learning (2024)

Learning Fair Policies for Multi-Stage Selection Problems From Observational Data. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Zhuangzhuang JiaGrani A. HanasusantoPhebe VayanosWeijun Xie

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