Meet the Industry Candidates Poster Session: Computing And Systems Technology Division | AIChE

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Meet the Industry Candidates Poster Session: Computing And Systems Technology Division

Co-chair(s)

Zanfir, M., Linde
Baratsas, S., ExxonMobil

An analog to the Meet the Faculty Candidate Poster Session, the Meet the Industry Candidates Poster Session and Reception will provide an excellent opportunity for graduate students to showcase their research to industrial attendees, talent scouts, and recruiters who regularly attend the AIChE Annual Meeting.

Presentations

1:00 PM
(147ag) Analysis and Optimal Design of Membrane Processes for Flue Gas CO2 Capture
1:00 PM
(147u) Optimization-Based Strategies for Spectral Analysis and Kinetic Modeling
1:00 PM
(147ac) Empowering Molecular Simulations with Machine Learning to Understand and Engineer Molecular Systems
1:00 PM
(147j) Bridging Thermal and Electrochemical Catalysis: Rational Catalyst Design at Atomic Scales through Physical and Machine-Learning Based Insights
1:00 PM
(147am) Simulation, Optimization, and Machine Learning Methods for Sustainable Process and Supply Chain Design
1:00 PM
(147ad) Path-Sampling and Machine Learning for Rare Un-postulated Abnormal Events
1:00 PM
(147r) Techniques to Assist the Human-in-the-Loop in Type-1 Diabetes and Smart Manufacturing
1:00 PM
(147z) Harnessing Molecular Simulations and Machine Learning to Predict Macromolecular Properties and Drive Efficient Polymer Recycling
1:00 PM
(147f) Quantifying Synergy for Mixtures of End-Scission and Random Scission Catalysts in Polymer Upcycling
1:00 PM
(147o) A Novel Framework for Design of Net-Zero Chemical Systems: Analysis and Results
1:00 PM
(147ai) Measure This, Not That: Pareto Optimal Trade-Offs between Model-Based Information Content and Measurements Budget
1:00 PM
(147w) Rational Design of Low-Dimensional Catalysts Using First Principles Methods for CO2 Reduction to C1 Products
1:00 PM
(147c) Molecular Models to Predict the Influence of Templating Molecules on the Structure and Organization of Zeolites
1:00 PM
(147l) Modeling Kerogen Flexibility upon Gas Adsorption Using Osmotic Ensemble Simulations
1:00 PM
(147af) Molecular Modeling and Machine Learning-Based Design and Discovery of Nanoporous Material for Energy and Environmental Applications
1:00 PM
(147t) Computational Exploration of Single Atom Catalysts Supported on Metal Oxides for Sustainable Hydrogenation Reactions
1:00 PM
(147ab) Tuning Strategy for a Multi-Objective Model Predictive Control for Cost and Emissions Optimization of Heat Pump Water Heaters
1:00 PM
(147i) Advances in Next Generation Cyber-Physical Systems: Cybersecurity, Quantum Computing, and Smart Material Design
1:00 PM
(147q) Optimization-Based Strategies for Decarbonization of Energy Systems
1:00 PM
(147ak) Understanding Chromatographic Retention and Fluid Phase/Sorption Equilibria By Molecular Simulations and Thermodynamic Modeling
1:00 PM
(147y) Development of Mathematical Programming Models for the Synthesis of Reactor Networks
1:00 PM
(147e) Machine Learning Scientist, Especially for Chemicals, Materials, Multi-Omics, Health, and Environment.
1:00 PM
(147n) Hybrid Grey-Box Modeling and Estimation for Condition Monitoring of Complex Dynamics Energy Systems
1:00 PM
(147ah) Machine Learning Enabled Development of Accurate Force Fields for Refrigerants
1:00 PM
(147v) Enhancing Feature Engineering and Machine Learning through Systems Engineering for Improved Diagnosis: Case Studies in Speech Disorder and Autism Spectrum Disorder
1:00 PM
(147a) Influence of Mass Transfer for the Transient Response of Ultra-Microelectrodes to Potential and Current Transients
1:00 PM
(147k) Machine Learning-Based Prediction of Thermal Conductivity in Metal-Organic Frameworks
1:00 PM
(147ae) Data-Driven Process Monitoring and Control for Smart Manufacturing
1:00 PM
(147s) Data Analytics Enabled High Throughput Material Discovery and Computational Analyses for Membrane Innovations
1:00 PM
(147aa) Nonconvex Optimization Problems Involving the Euclidean Distance
1:00 PM
(147g) Development of Algorithms for Identification of Sparse Dynamic Models with Mass and Energy Conservation from Noisy Data
1:00 PM
(147p) State Estimation and Cost Optimal Sensor Network Design for Electrochemical Sensor Based Corrosion Monitoring
1:00 PM
(147aj) Effective Control of High Temperature Steam Electrolyzer Modules That Use Variable, Renewable Electricity
1:00 PM
(147x) Evaluating Impacts of Carbon Taxes on the Economic Viability and Carbon Footprint of Plastic Production Pathways
1:00 PM
(147d) Accelerating Digitalization Via Advanced Optimization, Machine Learning, and Simulation Techniques
1:00 PM
(147m) Control Advances for Dynamic Cyber-Physical Systems Incorporating Structural Simulation Methods and Quantum Computation

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Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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