2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
2025 AIChE Annual Meeting November 2-6, 2025 John B. Hynes Veterans Memorial Convention Center, Marriott Copley Place, Sheraton Back Bay | Boston, MA
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Nikolaos Evangelou Citation name Evangelou, N. Affiliation Johns Hopkins University State MD Country USA Authored(278g) Scientific Computation in the Latent Space through Manifold LearningNikolaos EvangelouFelix DietrichDaniel LehmbergGeorgios PsarellisEliodoro ChiavazzoIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(278h) From Partial Data to out-of-Bounds Parameter and Observation Estimation with Diffusion Maps and Geometric HarmonicsEleni KoronakiAndreas G. BoudouvisNikolaos EvangelouGeorgios PsarellisFelix DietrichIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(303f) Initializing the Internal States of Lstm Neural Networks Via Manifold LearningFelix KemethThomas BertalanNikolaos EvangelouTianqi CuiSaurabh MalaniIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(51f) From Brownian Dynamics Simulations and Experimental Observations of Colloidal Suspensions to Data-Driven Observables and Effective Sdes with Manifold LearningNikolaos EvangelouNoah WichrowskiEllis CrabtreeFelix DietrichJuan Bello-RivasAlexander YehJianli ZhangMichael A. BevanIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(203g) A Data-Driven Approach to Disentangled Parametrization of Relations, with an Application to Multisite PhosphorylationNikolaos EvangelouNoah J. WichrowskiGeorge KevrekidisFelix DietrichMahdi KooshkbaghiSarah McFannStanislav Y. ShvartsmanIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(688g) Tipping Point Dynamics for Epidemiological Networks. Constructing Reduced Dynamical Data-Driven Models for Evolving GraphsNikolaos EvangelouTianqi CuiJuan Bello-RivasAlexei MakeevThomas BertalanIoannis G. Kevrekidis2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(663e) Active Learning Workflow for Discovery of Stable Ternary Alloys from Binary Alloy DataGaurav DeshmukhNoah J. WichrowskiNikolaos EvangelouPushkar GhanekarSiddharth DeshpandeIoannis G. KevrekidisJeffrey Greeley2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(373c) Data-Driven Disentanglement of Latent variables and Effective parameters for Cellular Trajectories with Manifold Learning and Deep Learning ApproachesNikolaos EvangelouAnastasia GeorgiouDavid SroczynskiJude PhillipIoannis G. Kevrekidis2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(241g) Data-Driven Bifurcation Diagrams for Neural (Integro-) Differential EquationsNikolaos EvangelouGianluca FabianiTianqi CuiDimitrios G. GiovanisIoannis G. Kevrekidis2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting
