2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Federico Galvanin Citation name Galvanin, F. Affiliation University College London Country United Kingdom Authored(189l) Optimal Design of Feasible Clinical Tests for the Identification of Physiological Models of Type 1 Diabetes MellitusFederico GalvaninFabrizio BezzoDavide Pradella2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(659f) A MINLP Approach to Model-Based Data Mining for the Quick Development of Nonlinear Dynamic ModelsFederico GalvaninAsterios GavriilidisFabrizio BezzoEnhong CaoMarco Quaglio2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(245e) Travelling Traders’ Exchange Problem: Stochastic Simulation and Sensitivity AnalysisFederico GalvaninPatrick PiccioneFederica CattaniChunbing Huang2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(37a) Towards the Optimal Design of a Minimal Set of Clinical Tests for the Identification and Characterization of Von Willebrand DiseaseFederico GalvaninBeatrice TavernaFabrizio BezzoAlessandra Casonato2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(183r) An Artificial Neural Network Approach for the Identification of Stochastic Models of Travelling Traders’ Exchange ProcessChunbing HuangPatrick PiccioneFederica CattaniFederico Galvanin2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(509b) Hybrid Theoretical-Empirical Approach to Modelling of Twin Screw Feeders for Continuous Tablet ManufacturingNilay ShahFederico GalvaninSalvador Garcia-MunozDavide Bascone2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(370d) A Data-Driven Approach for Parameter Estimation of Stochastic Models By Using Machine Learning TechniquesChunbing HuangFederica CattaniFederico Galvanin2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(371l) The Evolution of Approximated Kinetic Model StructuresMarco QuaglioEric S. FragaFederico Galvanin2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(324d) Gaussian Process-Based Optimal Design of Experiments Under Structural Model UncertaintyFederico GalvaninPanagiotis PetsagkourakisMichail Stamatakis2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(687c) Hybrid Optimisation of Flow Reactor Performance: A Combined Mechanistic and Data-Driven Approach Using Model-Based Design of Experiments and Gaussian ProcessesFederico GalvaninPanagiotis Petsagkourakis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(522h) Constrained Reinforcement Learning for Process Optimization and ControlPanagiotis PetsagkourakisEric BradfordIlya Orson Sandoval CardenasDongda ZhangFederico GalvaninAntonio del Rio Chanona2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(522f) Integration of Control with Process Operation through Reinforcement LearningPanagiotis PetsagkourakisVassilis CharitopoulosFederico GalvaninAntonio del Rio Chanona2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(475a) Multi-Objective Optimization Experimental Design Using a Exploration-Exploitation Trade-OffPanagiotis PetsagkourakisFederico Galvanin2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(701e) An Autonomous Microreactor Platform for the Rapid Identification of Kinetic Models for Fast Liquid/Liquid ReactionsAnna KatsarouArun PankajakshanJonathan LefebvreJulia HofingerAlexei A. LapkinFederico Galvanin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(420c) An Autonomous Microreactor Platform for the Optimisation of Kinetic Parameters for Fast Liquid/Liquid ReactionsAnna KatsarouArun PankajakshanJonathan LefebvreJulia HofingerFederico GalvaninAlexei A. Lapkin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2016 AIChE Annual Meeting 2017 Annual Meeting 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2023 AIChE Annual Meeting
