Joel A. Paulson

79 papers A 1C 24Journal 40Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BONSAI: Structure-exploiting robust Bayesian optimization for networked black-box systems under uncertainty. Comput. Chem. Eng. Akshay Kudva, Joel A. Paulson
2026	J	`jnl`	Bayesian Optimization of Partially Known Systems using Hybrid Models. CoRR Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos
2025	J	`jnl`	BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification. Comput. Chem. Eng. Yen-An Lu, Wei-Shou Hu, Joel A. Paulson, Qi Zhang
2025	J	`jnl`	BONSAI: Structure-exploiting robust Bayesian optimization for networked black-box systems under uncertainty. CoRR Akshay Kudva, Joel A. Paulson
2025	J	`jnl`	Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design. CoRR Madhav Muthyala, Farshud Sorourifar, Tianhong Tan, You Peng, Joel A. Paulson
2025	A	`conf`	Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation. AISTATS Yilin Xie, Shiqiang Zhang, Joel A. Paulson, Calvin Tsay
2025	J	`jnl`	Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs. CoRR Akshay Kudva, Wei-Ting Tang, Joel A. Paulson
2025	C	`conf`	Navigating the Trade-offs and Synergies of Economic and Environmental Sustainability Using Process Systems Engineering. ACC Qi Zhang, Styliani Avraamidou, Joel A. Paulson, Vyom Thakker, Zhenyu Wang, Leo Chiang, Birgit Braun, Tushar Rathi, Ankush Chakrabarty, Farshud Sorourifar, Wei-Ting Tang, Paola Munoz, Apoorva Sampat, France Guertin
2025	J	`jnl`	NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information. CoRR Wei-Ting Tang, Akshay Kudva, Joel A. Paulson
2025	J	`jnl`	SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond. CoRR Madhav Muthyala, Farshud Sorourifar, You Peng, Joel A. Paulson
2024	J	`jnl`	A Practical Multiobjective Learning Framework for Optimal Hardware-Software Co-Design of Control-on-a-Chip Systems. IEEE Trans. Control. Syst. Technol. Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
2024	J	`jnl`	Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces. CoRR Farshud Sorourifar, Thomas Banker, Joel A. Paulson
2024	—	`conf`	Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks. CCTA Ankush Chakrabarty, Luigi Vanfretti, Wei-Ting Tang, Joel A. Paulson, Sicheng Zhan, Scott A. Bortoff, Vedang M. Deshpande, Ye Wang, Christopher R. Laughman
2024	J	`jnl`	BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems. CoRR Wei-Ting Tang, Ankush Chakrabarty, Joel A. Paulson
2024	J	`jnl`	BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification. CoRR Yen-An Lu, Wei-Shou Hu, Joel A. Paulson, Qi Zhang
2024	—	`conf`	Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems. CCTA Farshud Sorourifar, Joel A. Paulson, Ye Wang, Rien Quirynen, Christopher R. Laughman, Ankush Chakrabarty
2024	J	`jnl`	Bayesian Optimization for Anything (BOA): An open-source framework for accessible, user-friendly Bayesian optimization. Environ. Model. Softw. Madeline E. Scyphers, Justine E. C. Missik, Haley Kujawa, Joel A. Paulson, Gil Bohrer
2024	J	`jnl`	Bayesian optimization as a flexible and efficient design framework for sustainable process systems. CoRR Joel A. Paulson, Calvin Tsay
2024	—	`conf`	CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization. CDC Wei-Ting Tang, Joel A. Paulson
2024	J	`jnl`	CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization. CoRR Wei-Ting Tang, Joel A. Paulson
2024	J	`jnl`	Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation. CoRR Yilin Xie, Shiqiang Zhang, Joel A. Paulson, Calvin Tsay
2024	J	`jnl`	Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions. CoRR Prabhat K. Mishra, Joel A. Paulson, Richard D. Braatz
2024	C	`conf`	Predictive Analytics for Chemical Processes. ACC Joel A. Paulson
2024	J	`jnl`	Robust Bayesian optimization for flexibility analysis of expensive simulation-based models with rigorous uncertainty bounds. Comput. Chem. Eng. Akshay Kudva, Wei-Ting Tang, Joel A. Paulson
2024	J	`jnl`	TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model Discovery. CoRR Madhav Muthyala, Farshud Sorourifar, Joel A. Paulson
2023	C	`conf`	A Tutorial on Derivative-Free Policy Learning Methods for Interpretable Controller Representations. ACC Joel A. Paulson, Farshud Sorourifar, Ali Mesbah
2023	J	`jnl`	Formal Certification Methods for Automated Vehicle Safety Assessment. IEEE Trans. Intell. Veh. Tong Zhao, Ekim Yurtsever, Joel A. Paulson, Giorgio Rizzoni
2023	C	`conf`	LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems. ACC Joel A. Paulson, Farshud Sorourifar, Christopher R. Laughman, Ankush Chakrabarty
2023	J	`jnl`	Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers. CoRR Dinesh Krishnamoorthy, Joel A. Paulson
2023	—	`conf`	No-Regret Bayesian Optimization with Gradients Using Local Optimality-Based Constraints: Application to Closed-Loop Policy Search. CDC Georgios Makrygiorgos, Joel A. Paulson, Ali Mesbah
2023	J	`jnl`	No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations. CoRR Congwen Lu, Joel A. Paulson
2023	C	`conf`	Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
2023	J	`jnl`	Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
2023	—	`conf`	Safe Explorative Bayesian Optimization - Towards Personalized Treatments in Plasma Medicine. CDC Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
2022	J	`jnl`	Automated Vehicle Safety Guarantee, Verification and Certification: A Survey. CoRR Tong Zhao, Ekim Yurtsever, Joel A. Paulson, Giorgio Rizzoni
2022	J	`jnl`	COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information. Comput. Chem. Eng. Joel A. Paulson, Congwen Lu
2022	—	`conf`	Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints. CDC Joel A. Paulson, Farshud Sorourifar, Ankush Chakrabarty
2022	C	`conf`	Efficient Robust Global Optimization for Simulation-based Problems using Decomposed Gaussian Processes: Application to MPC Calibration. ACC Akshay Kudva, Farshud Sorourifar, Joel A. Paulson
2022	C	`conf`	Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? ACC Ali Mesbah, Kim Peter Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
2022	—	`conf`	Scalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems using Active Deep Learning. CDC Angelo D. Bonzanini, Joel A. Paulson, Georgios Makrygiorgos, Ali Mesbah
2022	J	`jnl`	Stochastic physics-informed neural ordinary differential equations. J. Comput. Phys. Jared O'Leary, Joel A. Paulson, Ali Mesbah
2022	C	`conf`	Sustainability and Industry 4.0: Obstacles and Opportunities ACC Bhavik R. Bakshi, Joel A. Paulson
2021	J	`jnl`	Data-Driven Scenario Optimization for Automated Controller Tuning With Probabilistic Performance Guarantees. IEEE Control. Syst. Lett. Joel A. Paulson, Ali Mesbah
2021	C	`conf`	Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees. ACC Joel A. Paulson, Ali Mesbah
2021	C	`conf`	Deep Learning-based Approximate Nonlinear Model Predictive Control with Offset-free Tracking for Embedded Applications. ACC Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
2021	J	`jnl`	Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks. Comput. Chem. Eng. Angelo D. Bonzanini, Joel A. Paulson, Georgios Makrygiorgos, Ali Mesbah
2021	—	`conf`	Probabilistically Robust Bayesian Optimization for Data-Driven Design of Arbitrary Controllers with Gaussian Process Emulators. CDC Joel A. Paulson, Ketong Shao, Ali Mesbah
2021	C	`conf`	Simulation-based Integrated Design and Control with Embedded Mixed-Integer MPC using Constrained Bayesian Optimization. ACC Naitik A. Choksi, Joel A. Paulson
2021	J	`jnl`	Stochastic Physics-Informed Neural Networks (SPINN): A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equations. CoRR Jared O'Leary, Joel A. Paulson, Ali Mesbah
2020	J	`jnl`	A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization. CoRR Farshud Sorourifar, Georgios Makrygirgos, Ali Mesbah, Joel A. Paulson
2020	—	`conf`	A Low-complexity Tube Controller using Contractive Invariant Sets. CDC Joel A. Paulson, Ali Mesbah
2020	J	`jnl`	An internal model control design method for failure-tolerant control with multiple objectives. Comput. Chem. Eng. Ali Mesbah, Joel A. Paulson, Richard D. Braatz
2020	J	`jnl`	Approximate Closed-Loop Robust Model Predictive Control With Guaranteed Stability and Constraint Satisfaction. IEEE Control. Syst. Lett. Joel A. Paulson, Ali Mesbah
2020	J	`jnl`	Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees. CoRR Joel A. Paulson, Ali Mesbah
2020	—	`conf`	Safe Learning-based Model Predictive Control under State- and Input-dependent Uncertainty using Scenario Trees. CDC Angelo D. Bonzanini, Joel A. Paulson, Ali Mesbah
2020	J	`jnl`	Stochastic model predictive control with joint chance constraints. Int. J. Control Joel A. Paulson, Edward A. Buehler, Richard D. Braatz, Ali Mesbah
2019	J	`jnl`	Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions. PLoS Comput. Biol. Joel A. Paulson, Marc Martin-Casas, Ali Mesbah
2019	C	`conf`	Fault-Tolerant Tube-Based Robust Nonlinear Model Predictive Control. ACC Joel A. Paulson, Tor Aksel N. Heirung, Ali Mesbah
2018	C	`conf`	Closed-Loop Active Fault Diagnosis for Stochastic Linear Systems. ACC Joel A. Paulson, Tor Aksel N. Heirung, Richard D. Braatz, Ali Mesbah
2018	—	`conf`	Shaping the Closed-Loop Behavior of Nonlinear Systems Under Probabilistic Uncertainty Using Arbitrary Polynomial Chaos. CDC Joel A. Paulson, Ali Mesbah
2018	C	`conf`	Stochastic Model Predictive Control with Enlarged Domain of Attraction for Offset-Free Tracking. ACC Tito L. M. Santos, Joel A. Paulson, Ali Mesbah
2018	J	`jnl`	Stochastic model predictive control - how does it work? Comput. Chem. Eng. Tor Aksel N. Heirung, Joel A. Paulson, Jared O'Leary, Ali Mesbah
2017	C	`conf`	On stability of stochastic linear systems via polynomial chaos expansions. ACC Sergio Lucia, Joel A. Paulson, Rolf Findeisen, Richard D. Braatz
2016	J	`jnl`	An Adaptive Model Predictive Control Strategy for Nonlinear Distributed Parameter Systems using the Type-2 Takagi-Sugeno Model. Int. J. Fuzzy Syst. Mengling Wang, Joel A. Paulson, Huaicheng Yan, Hongbo Shi
2016	C	`conf`	Control systems analysis and design of multiscale simulation models. ACC Joel A. Paulson, Venkatasailanathan Ramadesigan, Venkat R. Subramanian, Richard D. Braatz
2016	C	`conf`	Lyapunov-based stochastic nonlinear model predictive control: Shaping the state probability distribution functions. ACC Edward A. Buehler, Joel A. Paulson, Ali Mesbah
2016	C	`conf`	Nonlinear model predictive control using polynomial optimization methods. ACC Eranda Harinath, Lucas C. Foguth, Joel A. Paulson, Richard D. Braatz
2016	C	`conf`	Output feedback model predictive control with probabilistic uncertainties for linear systems. ACC Tillmann Muhlpfordt, Joel A. Paulson, Richard D. Braatz, Rolf Findeisen
2016	C	`conf`	pH and conductivity control in an integrated biomanufacturing plant. ACC Amos E. Lu, Joel A. Paulson, Richard D. Braatz
2015	J	`jnl`	A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis. Comput. Chem. Eng. Benben Jiang, Xiaoxiang Zhu, Dexian Huang, Joel A. Paulson, Richard D. Braatz
2015	C	`conf`	Control systems technology in the advanced manufacturing of biologic drugs. CCA Amos E. Lu, Joel A. Paulson, Nicholas J. Mozdzierz, Alan Stockdale, Ashlee N. Ford Versypt, Kerry R. Love, J. Christopher Love, Richard D. Braatz
2015	—	`conf`	Fast robust model predictive control of high-dimensional systems. ECC Lucas C. Foguth, Joel A. Paulson, Richard D. Braatz, Davide Martino Raimondo
2015	J	`jnl`	Lyapunov-based Stochastic Nonlinear Model Predictive Control: Shaping the State Probability Density Functions. CoRR Edward A. Buehler, Joel A. Paulson, Ali Akhavan, Ali Mesbah
2015	C	`conf`	Plant-wide model predictive control for a continuous pharmaceutical process. ACC Ali Mesbah, Joel A. Paulson, Richard Lakerveld, Richard D. Braatz
2015	C	`conf`	Real-time model predictive control for the optimal charging of a lithium-ion battery. ACC Marcello Torchio, Nicolas A. Wolff, Davide Martino Raimondo, Lalo Magni, Ulrike Krewer, R. Bhushan Gopaluni, Joel A. Paulson, Richard D. Braatz
2015	J	`jnl`	Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints. CoRR Joel A. Paulson, Edward A. Buehler, Richard D. Braatz, Ali Mesbah
2015	C	`conf`	Stability for receding-horizon stochastic model predictive control. ACC Joel A. Paulson, Stefan Streif, Ali Mesbah
2014	—	`conf`	Fast stochastic model predictive control of high-dimensional systems. CDC Joel A. Paulson, Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz
2014	—	`conf`	Guaranteed active fault diagnosis for uncertain nonlinear systems. ECC Joel A. Paulson, Davide Martino Raimondo, Rolf Findeisen, Richard D. Braatz, Stefan Streif