Smith, A.

Authored

(356g) Multi-Site, Multi-Pollutant Atmospheric Data Analysis Using Riemannian Geometry
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(451i) Characterizing the Multi-Scale Structure and Dynamics of Soft Gels through the Euler Characteristic
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(656b) Characterization of Chemoresponsive Liquid Crystals Using Topological Descriptors and Machine Learning
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(109e) Keynote Talk - Topological Data Analysis: Concepts, Computation, and Applications in Manufacturing
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(203a) The Euler Characteristic: A General Topological Descriptor for Complex Data
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(138a) Topological Data Analysis for Multivariate Process Monitoring: Inspirations from Neuroscience
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety (ISBN: 978-0-8169-1115-8)
(109b) Topological Data Analysis: Concepts, Computation, and Applications
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(346aq) Topological Data Analysis: Applications to Soft Matter and Molecular Simulations
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(575f) Optimization Algorithms for Dynamic Latent Variable Problems
2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)
(411i) Convolutional Network Analysis of Optical Micrographs for Liquid Crystal-Based Sensors
2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)
(195d) Endotoxin Sensors Using Liquid Crystals and Machine Learning
2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)
(246g) A Machine Learning Framework for the Analysis and Prediction of Catalytic Activity from Experimental Data
2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

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2019 AIChE Annual Meeting2020 Virtual AIChE Annual Meeting2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety2021 Annual Meeting2022 Annual Meeting2023 AIChE Annual Meeting