Venkat Venkatasubramanian

(397f) Automated Learning of a Materials Science Ontology Using Natural Language Processing of Abstracts

2014 AIChE Annual Meeting (ISBN: 978-0-8169-1086-1)

Matthew Conway

(665a) Soft Regulation: Coordinating Distributed Self-Interested Agents in Sociotechnical Systems

Daniel V. Esposito

Jonathan Packer

2014 AIChE Annual Meeting (ISBN: 978-0-8169-1086-1)

Yu Luo

(164h) Ontology-Assisted Knowledge Acquisition and Management in Pharmaceutical Engineering

Garud Iyengar

2014 AIChE Annual Meeting (ISBN: 978-0-8169-1086-1)

Miguel Francisco Remolona

Matthew Conway

Sriram Balasubramanian

(22c) The Control of Self-Interested Agents: Learning from Nature’s Wisdom of Crowds

2014 AIChE Annual Meeting (ISBN: 978-0-8169-1086-1)

Yu Luo

Garud Iyengar

(359a) Process Systems Engineering Beyond Chemical Plants: Signed Digraph As a Modeling Tool for Analyzing Systemic Risk in Financial Networks

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

(247n) Modeling Emergent Phenomena in Complex Sociotechnical Systems

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

(479h) An Ontology-Driven Knowledge Management Framework for Public Health

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

(383h) Machine Learning and Natural Language Processing for Pharmaceutical Product Engineering

Mila Gonzalez

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

Miguel Francisco Remolona

(38a) A Data-Driven Early Warning System for Mining Accidents

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

(12c) Control with Soft Feedback in Social Systems: Mathematical Principles, Empirical Evidence, and Applications

2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)

Yu Luo

Garud Iyengar

(144d) Road to the Promised Land of QbD: Informatics and Modeling Challenges

2017 Annual Meeting (ISBN: 978-0-8169-1102-8)

(605d) Quantitative Modeling of DNA Grafted Nanoparticle Self-Assembly

2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)

(251a) Introduction to the Session in Honor of Rex Reklaitis' 70th Birthday

2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)

(251i) Concluding Remarks to the Session in Honor of Rex Reklaitis' 70th Birthday

2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)

(584b) Transfer Entropy-Based Dynamic Causal Maps Generation for Fault Diagnosis in Systems with Cycles

2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)

Resmi Suresh

(141f) Holmes: An Ontology-Based Knowledge Management System for Pharmaceutical Engineering

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

Miguel Francisco Remolona

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(658c) Emergence of Structural Features in Complex Networks Via Adaptation

(421f) ProCAFD: A Computer-Aided Tool for Sustainable Process Synthesis, Design, Analysis and Improvement

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

Anjan Kumar Tula

Mario Eden

Industry 4.0 Panel Discussion

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(193b) How Does a Deep Neural Network Learn to Approximate Functions?

Sam Samdani

2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)

(504g) The Nature of Fault-Space Classification By Neural Networks

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(156g) Artificial Intelligence in Materials Science: The Good, the Bad, and the Ugly

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(463a) Rafiqul Gani Session: Introductory Remarks

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(74a) Artificial Intelligence for Pharma 4.0: Challenges and Opportunities

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(339h) Mechanism Discovery and Model Identification Using Genetic Feature Extraction and Statistical Testing

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

Lakshminarayanan Samavedham

(650j) Statistical Teleodynamics: A Novel Framework for Unifying the Physics of Active and Passive Matter

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(477c) A Formal Grammar-Based Machine Learning Approach for Predicting Reaction Outcomes

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(339j) Optimal Communication Topologies for Particle Swarm Optimization Under Hostile Environments

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(500d) Combining Symbolic-AI and Numeric-AI for Challenges in Reaction Engineering

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(287e) Explainable AI: Generating Causal Explanations of Machine Learning-Derived Models from Data

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(449e) Teaching Artificial Intelligence to Chemical Engineers: Experiences from a 35-Year-Old Course

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(182b) Chemical Representations for Improving Retrosynthesis Prediction: Smiles-Grammar and Information Theory

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(475g) Discovering Interpretable Models from Data Using Machine Learning: Application to Nonlinear Parametric Models

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(172a) AI-Driven Drug Discovery and Manufacturing Using Automated Ontology-Based Information Extraction

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(362m) Hybrid, Interpretable Machine Learning for Thermodynamic Property Estimation Using Grammar2vec for Molecular Representation

Shekhar Viswanath

Shankar Vaidyaraman

Jeyakumar Balakrishnan

Jon Dieringer

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

Karoline Brito

(105c) Discovering First-Principles-Based Models Using Machine Learning for Physicochemical Systems

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(47h) AI-Based Hybrid Modelling for Chemicals-Based Product Design

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(543b) A Data Reconciliation Methodology for Reduced Order Modeling of Process Systems

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

Harshal Marathe

(309f) Emergence of Spontaneous Order in the Dynamics of Birds Flocking: A Statistical Teleodynamics Perspective

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(11b) X AI-MEG : An Ontology-Based Explanation Generator Via Machine Learning

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(416e) A Framework for the Statistical Value of Extreme Points for Function Approximation

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

Krishnan Kumaran

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(300a) Introduction

(15e) Accelerating Drug Discovery and Development Using an Ontology-Based Machine Learning Framework

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

Shekhar Viswanath

Shankar Vaidyaraman

(95c) AI-Driven Hypergraph Network of Organic Chemistry: Applications in Reaction Classification

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(59ag) Chemistry-Aware Retrosynthesis and Forward Reaction Prediction Using Smiles Grammar Tree Transformer

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

Kevin Zhang

(161g) Combining Process Knowledge and Machine Learning for Efficient Process Flowsheet Synthesis

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(95e) Automated Mechanism-Based Explanation Generation of Machine Learning Models

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(428c) Design of Resilient Supply Chain Networks for Pharmaceutical Products

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

Arun Sankar Eenhakkattu Mana

Smrithi Prakash