Mesbah Lab

New📜Publication Alert📷: AI-Guided Co-Optimization of Advanced Field-Effect Transistors: Bridging Material, Device, and Fabrication Design. Learn about AI for navigating high-dimensional, nonconvex design landscapes! doi.org/10.1002/aidi.2… #AI #MachineLearning #semiconductor

New📜Publication Alert📷: Machine learning-based investigation of the relationship between plasma emission spectra and biological responses. See how machine learning can reliably predict cold atmospheric plasma biological results! doi.org/10.1088/1361-6… #Plasma #MachineLearning

New📜Publication Alert📰: Stability-constrained policy optimization under unknown rewards. See how policy search RL can ensure stability for safe and reliable decision-making under uncertainty! doi.org/10.1016/j.ifac… #Control #ReinforcementLearning #MachineLearning

New✨Publication Alert📷: MPCritic: A Plug-and-Play MPC Architecture for Reinforcement Learning. static1.squarespace.com/static/5d4488d… #Control #ReinforcementLearning #MachineLearning

🌟Congratulations🌟: Tommy received second place in the CAST Directors’ Student Presentation Awards, presenting his work “MPCritic: A Unified Framework for MPC and Reinforcement Learning” at the 2025 AIChE Annual Meeting. The full paper can be found here: arxiv.org/abs/2504.01086

New📰Publication Alert📰: Interpretable attention-based transfer learning in plasma catalysis: a study on the role of surface charge. See how thermal catalysis DFT can transfer to plasma catalysis! doi.org/10.1039/D4EY00… #Plasma #Catalysis #DFT #MachineLearning #TransferLearning

❗️Call for Papers❗️: An upcoming special issue in Control Engineering Practice aims to collect novel Bayesian optimization approaches for the optimization and tuning of industrial and personalized systems and processes. For more information, please see: sciencedirect.com/special-issue/…

New✨Publication Alert📷: Gradient-Based Framework for Bilevel Optimization of Black-Box Functions: Synergizing Model-Free Reinforcement Learning and Implicit Function Differentiation. doi.org/10.1021/acs.ie… #bilevel #optimization #reinforcement #learning

New✨Publication Alert📷: Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine. Learn how to incorporate user preferences in BO! doi.org/10.1109/LCSYS.… #Bayesian #optimization #plasma

New✨Publication Alert📷: Data-Driven Discovery of Sparse Dimensionless Numbers and Nondimensional Relations for Low-Temperature Plasmas. See how dimensionless relationships can be discovered from process data! doi.org/10.1088/1361-6… #dimensionless #scaling #plasma

Upcoming 🎙️Conference Presentation🎙️: Preference-based Multi-Objective Bayesian Optimization with Gradients. Josh will be speaking on his work at the NeurIPS workshop on Bayesian Decision-making and Uncertainty tomorrow, December 14th. gp-seminar-series.github.io/neurips-2024/

New✨Publication Alert📷: A Cold Atmospheric Plasma Sensor for Identification and Differentiation of Biological Tissues. Learn about cold atmospheric plasmas for real-time tissue identification! doi.org/10.1109/TRPMS.… #plasma #ml #diagnostics #tissue #classification

New ✨Publication Alert📷: Nitrogen accountancy in space agriculture. Learn about space agriculture modeling to account for the nitrogen dependence of crops! doi.org/10.1038/s41526… #closedloop #space #agriculture #nitrogen #modeling #GSA

New ✨Publication Alert📷: Stability-informed Bayesian optimization for MPC cost function learning. Learn about BO for optimizing MPC performance with safety considerations! #MPC" target="_blank" rel="nofollow noopener">doi.org/10.1016/j.ifac… #Lyapunov #stability #Bayesian #optimization

New ✨Publication Alert📷: Time-varying Bayesian optimization for MPC calibration for run-to-run drifting systems: A study on discrete-temporal kernels. Learn about MPC auto-tuning via BO for time-varying systems! doi.org/10.1016/j.ifac… #MPC #timevarying #Bayesian #optimization

New ✨Publication Alert📷: Efficient Performance-based MPC Tuning in High Dimensions using Bayesian Optimization over Sparse Subspaces. Learn about BO for MPC tuning with many parameters here! cello-blueberry-n67w.squarespace.com/s/kudva2024eff… #autotuning #control #Bayesian #optimization

New ✨Publication Alert📷: Designing embedded control policies requires algorithmic design and hardware implementation decisions. Learn about Bayesian optimization as a framework for co-design here! doi.org/10.1109/TCST.2… #embedded #control #codesign #Bayesian #optimization

New ✨Publication Alert📷: Curious on what the future holds for plasma etching for microelectronics? Find out here! doi.org/10.1116/6.0003… #plasma #microelectronics #semiconductor #machine #ML #AI

🎉Congratulations🥳: Our newest member, Thomas Banker, was selected as a recipient of the National Science Foundation Graduate Research Fellowship!

New ✨Publication Alert📷: See how time-varying Bayesian optimization can aid controller auto-tuning in the face of process drift for plasma-assisted semiconductor manufacturing! doi-org.libproxy.berkeley.edu/10.1016/j.comp… #bayesian #optimization #control #plasma #semiconductor