Abolfazl Lavaei

Orcid: 0000-0003-4993-3170

According to our database1, Abolfazl Lavaei authored at least 55 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data-driven verification and synthesis of stochastic systems via barrier certificates.
Autom., January, 2024

IMPaCT: Interval MDP Parallel Construction for Controller Synthesis of Large-Scale Stochastic Systems.
CoRR, 2024

2023
A Compositional Dissipativity Approach for Data-Driven Safety Verification of Large-Scale Dynamical Systems.
IEEE Trans. Autom. Control., December, 2023

Formal Verification of Unknown Discrete- and Continuous-Time Systems: A Data-Driven Approach.
IEEE Trans. Autom. Control., May, 2023

Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach.
IEEE Trans. Control. Netw. Syst., March, 2023

Compositional Construction of Safety Controllers for Networks of Continuous-Space POMDPs.
IEEE Trans. Control. Netw. Syst., March, 2023

Estimation of Infinitesimal Generators for Unknown Stochastic Hybrid Systems via Sampling: A Formal Approach.
IEEE Control. Syst. Lett., 2023

Constructing MDP Abstractions Using Data With Formal Guarantees.
IEEE Control. Syst. Lett., 2023

Data-Driven Synthesis of Symbolic Abstractions With Guaranteed Confidence.
IEEE Control. Syst. Lett., 2023

Data-Driven Stability Certificate of Interconnected Homogeneous Networks via ISS Properties.
IEEE Control. Syst. Lett., 2023

Data-Driven Controller Synthesis via Finite Abstractions With Formal Guarantees.
IEEE Control. Syst. Lett., 2023

Safety Barrier Certificates for Stochastic Control Systems with Wireless Communication Networks.
CoRR, 2023

Formal Control of New England 39-Bus Test System: An Assume-Guarantee Approach.
CoRR, 2023

Automata-based controller synthesis for stochastic systems: A game framework via approximate probabilistic relations.
Autom., 2023

Robust Simulation Functions with Disturbance Refinement.
Proceedings of the European Control Conference, 2023

Symbolic Abstractions with Guarantees: A Data-Driven Divide-and-Conquer Strategy.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

MDP Abstractions from Data: Large-Scale Stochastic Networks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
From Dissipativity Theory to Compositional Synthesis of Large-Scale Stochastic Switched Systems.
IEEE Trans. Autom. Control., 2022

From Small-Gain Theory to Compositional Construction of Barrier Certificates for Large-Scale Stochastic Systems.
IEEE Trans. Autom. Control., 2022

Compositional Reinforcement Learning for Discrete-Time Stochastic Control Systems.
CoRR, 2022

Compositional Controller Synthesis for Interconnected Stochastic Systems with Markovian Switching.
CoRR, 2022

Automated verification and synthesis of stochastic hybrid systems: A survey.
Autom., 2022

Poster Abstract: Controller Synthesis for Nonlinear Stochastic Games via Approximate Probabilistic Relations.
Proceedings of the HSCC '22: 25th ACM International Conference on Hybrid Systems: Computation and Control, Milan, Italy, May 4, 2022

Poster Abstract: Data-Driven Estimation of Collision Risks for Autonomous Vehicles with Formal Guarantees.
Proceedings of the HSCC '22: 25th ACM International Conference on Hybrid Systems: Computation and Control, Milan, Italy, May 4, 2022

Scalable Synthesis of Finite MDPs for Large-Scale Stochastic Switching Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Data-Driven Stability Verification of Homogeneous Nonlinear Systems with Unknown Dynamics<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Safety Barrier Certificates for Stochastic Hybrid Systems.
Proceedings of the American Control Conference, 2022

Compositional Controller Synthesis for Interconnected Stochastic Systems with Markovian Switching<sup>*</sup>.
Proceedings of the American Control Conference, 2022

2021
Data-driven verification and synthesis of stochastic systems through barrier certificates.
CoRR, 2021

Compositional Synthesis of Control Barrier Certificates for Networks of Stochastic Systems against ω-Regular Specifications.
CoRR, 2021

Safe-visor Architecture for Sandboxing (AI-based) Unverified Controllers in Stochastic Cyber-Physical Systems.
CoRR, 2021

Estimating infinitesimal generators of stochastic systems with formal error bounds: a data-driven approach.
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021

Formal safety verification of unknown continuous-time systems: a data-driven approach.
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021

Towards trustworthy AI: safe-visor architecture for uncertified controllers in stochastic cyber-physical systems.
Proceedings of the CAADCPS '21: Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems, 2021

ARCH-COMP21 Category Report: Stochastic Models.
Proceedings of the 8th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH21), 2021

Data-Driven Safety Verification of Stochastic Systems via Barrier Certificates.
Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

Data-Driven Estimation of Infinitesimal Generators of Stochastic Systems.
Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

2020
Compositional (In)Finite Abstractions for Large-Scale Interconnected Stochastic Systems.
IEEE Trans. Autom. Control., 2020

Compositional abstraction-based synthesis for networks of stochastic switched systems.
Autom., 2020

Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning.
Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020

AMYTISS: a parallelized tool on automated controller synthesis for large-scale stochastic systems.
Proceedings of the HSCC '20: 23rd ACM International Conference on Hybrid Systems: Computation and Control, 2020

AMYTISS: Parallelized Automated Controller Synthesis for Large-Scale Stochastic Systems.
Proceedings of the Computer Aided Verification - 32nd International Conference, 2020

ARCH-COMP20 Category Report: Stochastic Models.
Proceedings of the ARCH20. 7th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH20), 2020

2019
Compositional Abstraction-based Synthesis of General MDPs via Approximate Probabilistic Relations.
CoRR, 2019

Compositional Synthesis of Large-Scale Stochastic Systems: A Relaxed Dissipativity Approach.
CoRR, 2019

Compositional construction of infinite abstractions for networks of stochastic control systems.
Autom., 2019

Compositional finite abstractions for large-scale stochastic switched systems.
Proceedings of the Fifth International Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT, 2019

Compositional Synthesis of not Necessarily Stabilizable Stochastic Systems via Finite Abstractions.
Proceedings of the 17th European Control Conference, 2019

Compositional Verification of Large-Scale Stochastic Systems via Relaxed Small-Gain Conditions.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Approximate Probabilistic Relations for Compositional Abstractions of Stochastic Systems.
Proceedings of the Numerical Software Verification - 12th International Workshop, 2019

2018
Compositional Synthesis of Interconnected Stochastic Control Systems based on Finite MDPs.
Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), 2018

From Dissipativity Theory to Compositional Construction of Finite Markov Decision Processes.
Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), 2018

Compositional Synthesis of Finite Abstractions for Continuous-Space Stochastic Control Systems: A Small-Gain Approach.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

2017
Optimal 3D trajectory generation in delivering missions under urban constraints for a flying robot.
Intell. Serv. Robotics, 2017

Compositional abstractions of interconnected discrete-time stochastic control systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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