2024 AIChE Annual Meeting

Session: Interactive Session: Data and Information Systems

This session solicits posters in the broad area of Data and Information Management in the chemical engineering domain. Abstracts describing methods, applications, challenges, and tools are all welcome.

Chair

Fengqi You, Cornell University

Co-Chairs

Maria Papathanasiou, Imperial College London

Presentations

(375s) Artificial Intelligence (AI) for Oil & Gas Upstream Processes, KPIs and Potential Savings
Amr Abdelghany, Ahmed Hamed, Yousef Mohassab
(375k) Towards a Thrombosis Detection System Based on High-Frequency Central Venous Pressure Data
Zahra Vaez, Charlie Everhart, Matthew F. Mikulski, Daniel Stromberg, Richard P. Lion, Daniel P. Howsmon
(375d) A Distributed Data-Driven Predictive Modeling Approach for Cyber-Process Incident Identification Using Spectral Community Detection
Amirmohammad Ebrahimi, Amirsalar Bagheri, Davood Babaei Pourkargar
(375w) Symbolic Regression-Based Recursive Surrogate Model for a Manufacturing Process
Seulki Han, George Bollas
(375c) Can Transfer Learning Assist in Resolving Missing Data for Enhanced Data-Driven Optimization ?
Teslim Olayiwola, Jose Romagnoli
(375y) Enhancing Electrochemical Deionization Optimization through Integrated Physics and Machine Learning Models
Teslim Olayiwola, Jose Romagnoli
(375o) Modelling Local Steady-State and Time-Dependent Reactive Dynamics in Porous Media By Multiscale Neural Networks
Agnese Marcato, Javier E. Santos, Daniele Marchisio, Gianluca Boccardo
(375b) Artificial Intelligence-Based Bacteria Species Distinction Based on Raman Microscopy.
Sidharth Laxminarayan, Lily Cheung, Fani Boukouvala
(375j) Probabilistic Distribution Reconstruction Model for Few-Shot Fault Monitoring in Chemical Processes
Borui Yang, Jinsong Zhao
(375n) Large Language Models for Discovering Equations
Samiha Sharlin, Tyler R. Josephson
(375ag) A Pre-Train and Fine-Tune Paradigm of Fault Prognosis for Chemical Process
Yiming Bai, Jinsong Zhao
(375ae) Policy Development for a Mobile Robot to Search for the Source of a Chemical Plume in an Urban Environment
Paul Morris, Cory Simon
(375i) Detection of Faults in Multi-Modal Plant Operation Via Latent Space Models Based on First-Principles Plant Models
Enrique Luna, Vladimir Mahalec
(375m) Leveraging Knowledge Synthesis and Transfer Learning in Photo-Bioproduction for Enhanced CO2 Capture and Upcycling
Runyu Zhao, Wenyu Li, Bin Long, Joshua Yuan, Yixin Chen, Yinjie Tang
(375ab) Enhancing Li-Ion Battery Remaining Useful Life Prediction with a Physics-Constrained Bayesian Recurrent Neural Network
Jiwei Yao, Tao Gao, Kody Powell
(375h) Online Fault Detection and Diagnosis of Industrial Processes Via Data Augmentation and Integrative Learning of Process Knowledge and Fault Propagation Map
Alireza Miraliakbar, Fangyuan Ma, Zheyu Jiang
(375e) Cyber-Attack Detection and Resilient Control Using Physics-Informed Machine Learning
Guoquan Wu, Yujia Wang, Zhe Wu
(375l) Harnessing the Power of Llms to Disentangle Complex Metabolic Models and Regulatory Networks
Stefanos Xenios, Konstantinos Mexis, Nikos Trokanas, Antonios Kokosis
(375g) Fast, Accurate Process Monitoring Based on Multi-Block Mutual Information and Nonparametric Statistical Process Control
Fangyuan Ma, Alireza Miraliakbar, Xun Tang, Zheyu Jiang, Wei Sun
(375aa) Simultaneous Optimization Via Physics-Informed Neural Network Solvers with Compartment Models for Reactor Design
Yubin Ryu, Sunkyu Shin, Wonbo Lee, Jonggeol Na
(375r) Offline Rl for Optimal Bioprocess Production Scheduling
Haiting Wang, Cleo Kontoravdi, Antonio del Rio Chanona
(375q) Contrastive Learning to Improve Pharmaceutical Knowledge Graph Quality in Machine Learning
Adheesh Kadiresan, Naz Pinar Taskiran, Arijit Chakraborty, Vipul Mann, Venkat Venkatasubramanian
(375p) Quantitative Evaluation of Catalyst Shape in SEM Images Using Gan and Semi-Supervised Semantic Segmentation
Yong Sang Lee, Heehyun Choi, Janggeun Lee, Jonghwan Oh, Janggeun Lee, Woochang Jeong, Jiyong Kim
(375z) Optimizing CO2 Utilization Efficiency through Physics-Informed Modeling of Membrane Reactors
Zahir Aghayev, Zhaofeng Li, Michael Patrascu, Burcu Beykal
(375a) Physics-Informed Estimation of Thermodynamic Parameters of Biodiesel Production from Enteromorpha Compressa Microalgae
Amir Shahbazi, Burcu Beykal
(375t) Neural Network Analysis of NMR and IR Spectra
James Sturgill, Max Depperschmidt, Dakota Even, Aaron M. Scurto, Kyle Camarda
(375f) Time Delayed Cointegration Analysis for Non-Stationary Process Monitoring
Jingzhi Rao, Cheng Ji, Jingde Wang, Wei Sun, Jose Romagnoli
(375x) Prediction of Mineral Scale Formation in Bakken-Using Machine Learning
Arash Tayyebi, Ali Alshami
(375u) Time-Series Multiscale Computational Fluid Dynamics Data Modeling with Transformers for Atomic Layer Processing
Henrik Wang, Feiyang Ou, Julius Suherman, Matthew Tom, Gerassimos Orkoulas, Panagiotis Christofides
(375ai) Data-Driven Multi-Objective Optimization for Canister Sampling Site Selection
S M Farhad, Tianxing Cai
(375v) Machine Learning, Modelling, and Simulation for Problem-Solving in the Hydrogen Production Process
Oscar Martinez, Giovanni Morales Medina