Panos Petsagkourakis

Editor's Choice: Integrating process design and control using reinforcement learning @AntonioE89 @Pnosapp @MaxMowbray3 @StevenSachio1 @maria_papathan @ImperialChemEng @sargent_centre @uclchemeng @ChemEngManUni #ChERD doi.org/10.1016/j.cher…

First #NovaSeqX run completed on-site at @BroadGenomics! Greater than 7Tb output in 24 hrs and 94% Q30, way above spec and we are just getting started. Congratulations to @nialljlennon and the Broad team.

This year started with the publication of an important part of my PhD work!! Thanks to @Mesbah_Lab , @aaronjberliner, @AdamArkinLab onlinelibrary.wiley.com/doi/10.1002/bi….

The preprint for our Gibbs-Helmholtz Graph Neural Network (GH-GNN) is now available! 📢 📢 A serial hybrid model to predict activity coefficients at infinite dilution at varying temperatures. 📃 Preprint: arxiv.org/abs/2212.01199 💻 Code: github.com/edgarsmdn/GH-G…

Talks from Akhil, Miguel, @Savage_Tom, and @DamienvandeBer1 at #AIChE2022🏜️ this week. We hope to see some of you there, a great week ahead. @ImperialChemEng @AIChECAST10 @ChEnected

This morning at the Illumina Genomics Forum, we unveiled our fastest, most cost-efficient sequencing machine yet – the NovaSeq X series. This technology will slash the cost to $200 per human genome and provide a readout at twice the speed. @WIRED feature: wired.com/story/the-era-…

We will be delivering a tutorial on Data-Driven Engineering @NewtonInstitute @Cambridge_Uni #ReinforcementLearning by @spmeyn #DataAssimilation #ModelReduction by @CASLAB_UM #PhysicsAware #MachineLearning #StructuralAssessment by @lizzyintheDRG Info: newton.ac.uk/event/ddew01/

@MadVictorZ Couldn’t resist

📣 Come work with us! #ChangeTheWorld Lecturer /Associate Professor in Data-driven chemical process systems engineering at @uclchemeng ⏱️ Closing Date: 21/09/2022 ➡️ buff.ly/3QKdsWD Image by Gerd Altmann from Pixabay

The @sargent_centre invites researchers and leading PSE academics for this year's PSE@ResearchDayUK. The event includes a plenary talk by Professor Alexander Mitsos, oral and poster presentations by participants and networking opportunities!

Our paper on soft-sensing of end product quality in batch process systems is now out in Chemometrics and Intelligent Laboratory Systems. Work conducted @UoMSciEng @cafe4dm with @DongdaZhang. If interested, please find the open access link @ doi.org/10.1016/j.chem…

@MaxMowbray3 @UoMSciEng @cafe4dm @DongdaZhang Great work as always @MaxMowbray3!

The @sargent_centre Control Club continues! This Friday at 4PM we welcome Prof. Ali Mesbah, presenting 'Toward Autonomy for Safe and On-demand Biomanufacturing in Space'. DM for the Teams link to the virtual seminar, or if you're on Imperial campus, please join us at RODH 615.

Very happy to be delivering a workshop on "Machine learning for predictive control and real-time optimization" with @Pnosapp and Benoit Chachuat. If you are around don't miss @Zhengang_Z on "Distributionally Robust MPC for Nonlinear System" 🕹️ #DYCOPS @IFAC_Biosystems

Our recent work on Bayesian optimal experiment design is out! We explore an approach for obtaining globally optimal solutions in the presence of arbitrary priors and noise distributions! @Mesbah_Lab

Our latest paper on using reinforcement learning to ingetrate process design and control is out! with @MaxMowbray3, @maria_papathan, @AntonioE89, and @Pnosapp. Free access is available to view and download the paper until 15th July 2022 from: authors.elsevier.com/a/1f8SLx-vuQkg5

Latest volume of Annual Reviews in Control is out now! Read on for all the latest articles, reviews and special sections: sciencedirect.com/journal/annual…

Great opportunity to join my research group at KTH as a Postdoc and work on a project in the intersection of mixed-integer optimization and AI/ML @KTHuniversity #optimization #ML #AI kth.se/en/om/work-at-…

We are looking for a postdoctoral research associate in my research group for an EPSRC funded project to work on the dynamic modelling and control of thermal and thermo-chemical electricity storage systems - particularly for the integration of these systems into the power grid..

Amazing review on data science in chemical and process industries!