2023 Industry 4.0: Digital Transformation Conference (IDTC23) October 3-4, 2023 Hyatt Lodge Oak Brook, Oak Brook, IL
University of Louisville Student Process Safety Bootcamp September 29-30, 2023 University of Louisville
2023 Industry 4.0: Digital Transformation Conference (IDTC23) October 3-4, 2023 Hyatt Lodge Oak Brook, Oak Brook, IL
2023 Indonesia Student Regional Conference October 7, 2023 Universitas Pertamina, South Jakarta, Jakarta, Indonesia
2023 Ethylene Middle East Technology Conference (EMET) October 17-18, 2023 Grand Hyatt Al Khobar, Kingdom of Saudi Arabia
6th International Conference on CRISPR Technologies October 17-19, 2023 The Revere Hotel Boston Common, Boston, MA, USA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Georgios Makrygiorgos Citation name Makrygiorgos, G. Affiliation UC Berkeley State CA Country USA Authored(299f) Fast Approximate Multistage NMPC with Online Scenario Tree Generation Using Active Deep LearningJoel PaulsonAngelo D. BonzaniniAli MesbahGeorgios Makrygiorgos2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(177e) Deep Learning for Probabilistic Uncertainty Quantification of an Integrated Biomanufacturing System for Martian ColonizationGeorgios MakrygiorgosFengzhe ShiAaron J. BerlinerAnthony AbelDouglas S. ClarkAdam P. ArkinAli Mesbah2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(436b) A Systems Engineering Approach to Biomanufacturing for Long-Duration Missions on MarsAaron J. BerlinerGeorgios MakrygiorgosAnthony AbelDouglas S. ClarkAli MesbahAdam P. Arkin2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(434g) Goal-Oriented Model Learning with High-Fidelity Simulations Using MPC-Embedded Bayesian OptimizationFarshud SorourifarGeorgios MakrygiorgosAli MesbahJoel Paulson2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(224a) Data-Efficient Probabilistic Model Learning with Embedded High-Fidelity Knowledge for Biomanufacturing in Deep Space Manned MissionsGeorgios MakrygiorgosAaron J. BerlinerAdam P. ArkinAli Mesbah2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(278e) Tractable Global Solutions to Bayesian Optimal Experiment DesignAli MesbahDiogo RodriguesGeorgios Makrygiorgos2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(226d) Tractable Global Solutions to Chance-Constrained Bayesian Optimal Experiment Design for Arbitrary Prior and Noise DistributionsDiogo RodriguesGeorgios MakrygiorgosAli Mesbah2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(434f) Optimal Scheduling of Integrated Processes Under Uncertainty for Biomanufacturing on MarsSoumyajit Sen GuptaGeorgios MakrygiorgosAli MesbahAmor Menezes2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(303g) Performance-Oriented Learning of Hybrid Models for Model Predictive ControlGeorgios MakrygiorgosAngelo D. BonzaniniVictor MillerAli Mesbah2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(542a) A Deep Learning Approach for Chord Length Distribution Modeling of Two-Dimensional CrystalsGeorgios MakrygiorgosGiovanni Maria MaggioniJohn TsortosAli Mesbah2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(12a) Active Deep Learning for Scalable Approximation of Reachable and Invariant Sets for Mixed-Integer Nonlinear SystemsJoel PaulsonAngelo D. BonzaniniGeorgios MakrygiorgosAli Mesbah2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(235f) Data-Efficient Globally Optimal Policy-Based Reinforcement Learning Via Gradient-Accelerated Bayesian OptimizationJoel PaulsonGeorgios MakrygiorgosAli Mesbah2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(624d) Data-Efficient Automated Tuning of Generic Control Structures Using Adversarially Robust Bayesian OptimizationGeorgios MakrygiorgosJoel PaulsonAli Mesbah2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(483g) An End-to-End Design and System Integration for Biomanufacturing on Mars Under UncertaintyGeorgios MakrygiorgosAaron J. BerlinerAnthony AbelStefano Cestellos-BlancoJeremy AdamsNishi ThapliyalPeidong YangDouglas S. ClarkAdam P. ArkinAmor MenezesAli Mesbah2022 Annual Meeting (ISBN: 978-0-8169-1118-9) Associated proceedings 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting
