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Mesbah Lab at UC Berkeley

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Learning-Based Analysis and Predictive Control of Uncertain Systems

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Mesbah Lab at UC Berkeley

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Journal Publication

December 19, 2023 Ali Mesbah

The paper on Neural Schrödinger Bridge with Sinkhorn Losses: Application to
Data-driven Minimum Effort Control of Colloidal Self-assembly
has been published in the IEEE Transactions on Control Systems Technology.

Journal Publication

November 26, 2023 Ali Mesbah

The paper on Machine Learning in Process Systems Engineering: Challenges and Opportunities has been published in Computers & Chemical Engineering.

Journal Publication

November 26, 2023 Ali Mesbah

The paper on A Physics-Assisted Data-Driven Framework for Predicting Crystal Chord Length Distributions under Arbitrary Experimental Conditions has been published in Organic Process Research & Development.

Welcome Nima and Thomas!

November 26, 2023 Ali Mesbah

Thomas Banker has joined the lab as a Graduate Student Researcher and Nima Moini has joined the lab as a Postdoctoral Researcher. Welcome Nima and Tommy!

New Project

August 31, 2023 Ali Mesbah

The Mesbah group, in collaboration with Princeton University and Princeton Plasma Physics, has been awarded a major project grant by the DOE to lead research on machine learning and artificial intelligence for low-temperature plasmas.

Journal Publication

June 9, 2023 Ali Mesbah

The paper on Safe Exploration and Escape Local Minima with Model Predictive Control under Partially Unknown Constraints has been published in IEEE Transactions on Automatic Control.

UPDATE - 5th NorCal Control Workshop

March 28, 2023 Ali Mesbah

The program of the workshop has been uploaded! Check it out, and see you there! There will be a plethora of exciting and interesting talks, including one by Michael Jordan, the keynote speaker.

Journal Publication

March 2, 2023 Ali Mesbah

The paper on the Foundations of Machine Learning for Low-temperature Plasmas: Methods and Case Studies has been published in Plasma Sources Science and Technology.

5th NorCal Control Workshop

February 5, 2023 Ali Mesbah

We are excited to continue the 5th annual NorCal Control Workshop on Friday, April 7th, 2023 at the University of California, Berkeley. Please join us for this symposium, which will consist of student presentations, a keynote presentation, a panel discussion, and poster presentations and networking! Updates, registration, and itinerary will be posted on the following website: https://norcal-control.github.io.

Journal Publication

December 27, 2022 Ali Mesbah

The paper on Learning-based Adaptive-scenario-tree Model Predictive Control with Improved Probabilistic Safety using Robust Bayesian Neural Networks has been accepted for publication in the International Journal of Nonlinear and Robust Control.

Welcome Joshua!

December 23, 2022 Ali Mesbah

Joshua Ip has joined the Mesbah Lab as a Graduate Student Researcher! Welcome Joshua!

Journal Publication

December 15, 2022 Ali Mesbah

The paper on Traffic Congestion Control using Distributed Extremum Seeking and Filtered Feedback Linearization Control Approaches has been accepted for publication in IEEE Control Systems Letters.

Online Meeting

November 3, 2022 Ali Mesbah

A new online meeting dedicated to Artificial Intelligence for Plasma Science will be held November 29, 2022 through December 1, 2022. See the link to register and for more details about the event!

Welcome Shoubhanik and Praneeth!

November 3, 2022 Ali Mesbah

Shoubhanik Nath and Praneeth Srivanth Ramesh have joined the Mesbah Lab as Graduate Student Researchers! Welcome Shoubhanik and Praneeth!

Journal Publication

July 22, 2022 Ali Mesbah

The paper on Stochastic physics-informed neural ordinary differential equations has been accepted for publication in the Journal of Computational Physics.

Journal Publication

July 21, 2022 Ali Mesbah

The paper on A Deep Learning Framework Discovers Compositional Order and Self-Assembly Pathways in Binary Colloidal Mixtures has been published in JACS Au.

Journal Publication

June 21, 2022 Ali Mesbah

The paper on Space Bioprocess Engineering on the Horizon has been published in Nature’s Communications Engineering.

Magazine Feature

June 15, 2022 Ali Mesbah

Ali and George’s work in creating a framework to address the integration of biomanufacturing systems in space is featured in an article in the Spring/Summer 2022 Edition of Catalyst. The aim of their work is to advance learning-based predictive control methods with a view to optimize integrated biomanufacturing systems in real-time!

Journal Publication

June 6, 2022 Ali Mesbah

The paper on Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions has been published in the Journal of Process Control.

Workshop Talk

May 30, 2022 Ali Mesbah

Kimberly has been selected to give a talk on "Automated Tuning of Generic Embedded Controllers using Multi-objective Bayesian Optimization” at the 4th NorCal Control Workshop at the University of California, Santa Cruz.

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