2023 Industry 4.0: Digital Transformation Conference (IDTC23) October 3-4, 2023 Hyatt Lodge Oak Brook, Oak Brook, IL
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.
David Sroczynski Citation name Sroczynski, D. Affiliation Princeton University State NJ Country USA Authored(266f) Fault Tolerant Computing through Machine LearningDavid SroczynskiChristine KyaukIoannis G. KevrekidisPaul VilloutreixJoakim Anden2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(253ao) Adaptive Coarse-Graining of Molecular Dynamics through Diffusion MapsDavid SroczynskiAnastasia GeorgiouIoannis G. KevrekidisWilliam GearEliodoro Chiavazzo2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(61e) Nonlinear System Identification: Finding Normal Forms By Iteratively Uncovering Informed GeometriesDavid SroczynskiRonen TalmonIoannis G. KevrekidisOr Yair2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(747e) Iterative Manifold Extension for Efficient Discovery of Transition PathwaysDavid SroczynskiIoannis G. KevrekidisEliodoro ChiavazzoJuan Bello-RivasHau-tieng Wu2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(393f) Data-Driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical SystemsDavid SroczynskiOr YairRonen TalmonIoannis G. KevrekidisFelix Dietrich2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(257f) Explicit Model Predictive Control Using Nonlinear Intrinsic VariablesRobert J. LovelettFelix DietrichDavid SroczynskiIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(658b) Manifold Learning for Measurements across Several Sensors: Alternating Diffusion, Data Fusion and Constructing Nonlinear Observers for Complex Chemical Reaction NetworksDavid SroczynskiFelix DietrichMahdi KooshkbaghiSeungjoon LeeIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(369i) Multiple Experts: Using the Mahalanobis Metric to Fuse Data from Different Partial ObservationsDavid SroczynskiFelix DietrichMahdi KooshkbaghiIoannis G. Kevrekidis2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(132c) Learning What to Learn: Some Data-Driven Twists in Linking System Identification, Manifold Learning, and (possibly) Causality ConsiderationsIoannis G. KevrekidisDavid SroczynskiEleni KoronakiFelix DietrichNoah Wichrowski2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(560e) What Matters and What Does Not Matter: Parametrizing Common and Sensor-Specific Information across Multiple Sensors in Chemically Reacting SystemsDavid SroczynskiFelix DietrichRonen TalmonIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(284h) Emergent Evolution Equations from (multi-)Puzzle Tiles, with a Drosophila Embryonic Development ExampleDavid SroczynskiFelix KemethStanislav Y. ShvartsmanRonald CoifmanIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(542d) Nonlinear Data Fusion from Heterogeneous Partial Observation SetsDavid SroczynskiErez PeterfruendIoannis G. KevrekidisRonald Coifman2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(542e) Learning What to Learn: Common and Sensor-Specific Information across Multiple Sensors, with Some Thoughts about Sensor Spoofing and CausalityDavid SroczynskiFelix DietrichGeorge KevrekidisRonen TalmonMatthew WilliamsDavid SiuIoannis G. Kevrekidis2022 Annual Meeting (ISBN: 978-0-8169-1118-9) Associated proceedings 2016 AIChE Annual Meeting 2017 Annual Meeting 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting
