Faculty

Institution

Unit

Venue

Paulo Tabuada

Professor & Vijay K Dhir Chair in Engineering

University of California, Los Angeles

Affiliations

Samueli School of Engineering

Electrical and Computer Engineering

Paulo Tabuada is currently serving as an Electrical And Computer Engineering Professor & Vijay K Dhir Chair in Engineering at University of California, Los Angeles.

Honors

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Experiences

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Education

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Paulo Tabuada

University of California, Los Angeles

Professor & Vijay K Dhir Chair in Engineering

You can click a keyword to filter the displayed items

systems engineering automatic control computer science control systems applied mathematics computer security electrical engineering information security control engineering machine learning cyber-physical systems robotics controller synthesis state estimation formal methods data security control design self-triggered control control science communication security control optimization control system security control technology modeling and simulation symbolic models sensor attacks hybrid systems control system technology vehicular technology system safety nonlinear control systems secure state estimation quadratic programs invariant sets networked system design nonlinear control periodic event-triggered control nonlinear analysis information technology logic in computer science machine vision satisfiability vehicle control attack model cps security robust control homomorphic encryption sensor design stability analysis intelligent robotics motion control control barrier function event-triggered control adaptive cruise control multi-agent systems actuator attacks control barrier functions cyber conflict cybernetics intelligent robotic systems automated reasoning security controls attack simulation resilient control system robustness (computer science) iot communication iot challenge iot system iot architecture temporal logic observability linear programming embedded machine learning system identification cloud computing security control tasks control architecture learning control discrete control

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Framework for Time-Varying Optimization via Derivative Estimation. 2022 European Control Conference (ECC) (2024)

Matteo MarchiJonathan BuntonJoão Pedro SilvestrePaulo Tabuada

time-varying optimizationengineeringderivative estimationmachine learning

Correction to “Universal Approximation Power of Deep Residual Neural Networks Through the Lens of Control”. IEEE Transactions on Automatic Control (2024)

Paulo TabuadaBahman Gharesifard

computer sciencesystems engineeringautomatic controluniversal approximation powercontrol systemselectrical engineering

Decentralized Optimization Resilient Against Local Data Poisoning Attacks. IEEE Transactions on Automatic Control (2024)

Yanwen MaoDeepesh DataSuhas DiggaviPaulo Tabuada

computer sciencesystems engineeringautomatic controlcontrol optimizationinformation securitycomputer securitydata securityrobust optimization

Controlled Invariant Sets: Implicit Closed-Form Representations and Applications. IEEE Transactions on Automatic Control (2023)

Tzanis AnevlavisZexiang LiuNecmiye OzayPaulo Tabuada

computer scienceautomatic controlinvariant setscontrol systemsimplicit closed-form representationscontrol design

Learning to Control Known Feedback Linearizable Systems From Demonstrations. IEEE Transactions on Automatic Control (2023)

Alimzhan SultangazinLuigi PannocchiLucas FrailePaulo Tabuada

computer scienceautomatic controlcontrol engineeringrobotics

Sharp Performance Bounds for Pasta. IEEE Control Systems Letters (2023)

Matteo MarchiJonathan BuntonYskandar GasBahman GharesifardPaulo Tabuada

systems engineeringautomatic controlsharp performance boundsperformance evaluationcontrol technology

Being Correct is Not Enough: Efficient Verification Using Robust Linear Temporal Logic. ACM Transactions on Computational Logic (2022)

Tzanis AnevlavisMatthew PhilippeDaniel NeiderPaulo Tabuada

computer sciencesystems engineeringtemporal logiccomputational logicmachine learningefficient verificationverificationformal methods

Decentralized Learning Robust to Data Poisoning Attacks. 2022 IEEE 61st Conference on Decision and Control (CDC) (2022)

Yanwen MaoDeepesh DataSuhas DiggaviPaulo Tabuada

systems engineeringintelligent systemsadversarial machine learningsupervised learninginformation securitycomputer securitydata securitydecentralized securitydistributed learningreinforcement learningdecentralised systemmachine learning

Decentralized Secure State-Tracking in Multi-Agent Systems. IEEE Transactions on Automatic Control (2022)

Yanwen MaoPaulo Tabuada

systems engineeringautomatic controlsecure state-trackinginformation securitycomputer securitymulti-agent systemsdecentralized security

Give the Problem a Lift: Solving Quadratic Programs With Combinatorial Costs. 2022 IEEE 61st Conference on Decision and Control (CDC) (2022)

Jonathan BuntonPaulo Tabuada

combinatorial costssystems engineeringquadratic programsmachine learning

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Paulo Tabuada

Professor & Vijay K Dhir Chair in Engineering

University of California, Los Angeles

Affiliations

Samueli School of Engineering

Electrical and Computer Engineering

Paulo Tabuada is currently serving as an Electrical And Computer Engineering Professor & Vijay K Dhir Chair in Engineering at University of California, Los Angeles.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Paulo Tabuada

University of California, Los Angeles

Professor & Vijay K Dhir Chair in Engineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Framework for Time-Varying Optimization via Derivative Estimation. 2022 European Control Conference (ECC) (2024)

Matteo MarchiJonathan BuntonJoão Pedro SilvestrePaulo Tabuada

time-varying optimizationengineeringderivative estimationmachine learning

Correction to “Universal Approximation Power of Deep Residual Neural Networks Through the Lens of Control”. IEEE Transactions on Automatic Control (2024)

Paulo TabuadaBahman Gharesifard

computer sciencesystems engineeringautomatic controluniversal approximation powercontrol systemselectrical engineering

Decentralized Optimization Resilient Against Local Data Poisoning Attacks. IEEE Transactions on Automatic Control (2024)

Yanwen MaoDeepesh DataSuhas DiggaviPaulo Tabuada

computer sciencesystems engineeringautomatic controlcontrol optimizationinformation securitycomputer securitydata securityrobust optimization

Controlled Invariant Sets: Implicit Closed-Form Representations and Applications. IEEE Transactions on Automatic Control (2023)

Tzanis AnevlavisZexiang LiuNecmiye OzayPaulo Tabuada

computer scienceautomatic controlinvariant setscontrol systemsimplicit closed-form representationscontrol design

Learning to Control Known Feedback Linearizable Systems From Demonstrations. IEEE Transactions on Automatic Control (2023)

Alimzhan SultangazinLuigi PannocchiLucas FrailePaulo Tabuada

computer scienceautomatic controlcontrol engineeringrobotics

Sharp Performance Bounds for Pasta. IEEE Control Systems Letters (2023)

Matteo MarchiJonathan BuntonYskandar GasBahman GharesifardPaulo Tabuada

systems engineeringautomatic controlsharp performance boundsperformance evaluationcontrol technology

Being Correct is Not Enough: Efficient Verification Using Robust Linear Temporal Logic. ACM Transactions on Computational Logic (2022)

Tzanis AnevlavisMatthew PhilippeDaniel NeiderPaulo Tabuada

computer sciencesystems engineeringtemporal logiccomputational logicmachine learningefficient verificationverificationformal methods

Decentralized Learning Robust to Data Poisoning Attacks. 2022 IEEE 61st Conference on Decision and Control (CDC) (2022)

Yanwen MaoDeepesh DataSuhas DiggaviPaulo Tabuada

Decentralized Secure State-Tracking in Multi-Agent Systems. IEEE Transactions on Automatic Control (2022)

Yanwen MaoPaulo Tabuada

systems engineeringautomatic controlsecure state-trackinginformation securitycomputer securitymulti-agent systemsdecentralized security

Give the Problem a Lift: Solving Quadratic Programs With Combinatorial Costs. 2022 IEEE 61st Conference on Decision and Control (CDC) (2022)

Jonathan BuntonPaulo Tabuada

combinatorial costssystems engineeringquadratic programsmachine learning

1
2
3
4
5
26
10 / page

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