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
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Amirsalar Bagheri Citation name Bagheri, A. Affiliation Kansas State University State KS Country USA Authored(12f) A Deep Learning-Based Model Reduction and Control of an Ammonia Synthesis ProcessThiago Oliveira CabralAmirsalar BagheriDavood Babaei Pourkargar2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(207g) Learning-Based Data Reconstruction and Predictive Modeling of an Ammonia Synthesis Process for State Estimation and Control ApplicationsAmirsalar BagheriThiago Oliveira CabralDavood Babaei Pourkargar2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(579a) A Physics-Informed Deep Learning Approach to Predict Soil Water Content for Agricultural Decision-MakingAmirsalar BagheriDavood Babaei Pourkargar2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(711a) Time-Series Integrated Surrogate Modeling for Control of Ammonia Synthesis and Adsorption ProcessesAmirsalar BagheriThiago Oliveira CabralDavood Babaei Pourkargar2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(375d) A Distributed Data-Driven Predictive Modeling Approach for Cyber-Process Incident Identification Using Spectral Community DetectionAmirmohammad EbrahimiAmirsalar BagheriDavood Babaei Pourkargar2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(364y) Data-Driven and Physics-Informed Machine Learning Applications in Real-Time Decision Making and Predictive ControlAmirsalar Bagheri2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6) Associated proceedings 2022 Annual Meeting 2023 AIChE Annual Meeting 2024 AIChE Annual Meeting
