Vipul Mann

Citation name

Mann, V.

State

NY

Country

USA

PhD candidate, Department of Chemical Engineering, Columbia University, New York, USA

Sessions chaired or co-chaired

10A: Process Design for a Net Zero Carbon Economy I

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

10A: Process Design for a Net Zero Carbon Economy II

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

Authored

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

Venkat Venkatasubramanian

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

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

Abhishek Sivaram

Venkat Venkatasubramanian

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

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

Venkat Venkatasubramanian

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

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

Venkat Venkatasubramanian

Shekhar Viswanath

Shankar Vaidyaraman

Jeyakumar Balakrishnan

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

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

Venkat Venkatasubramanian

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

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

Shekhar Viswanath

Shankar Vaidyaraman

Venkat Venkatasubramanian

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

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

Venkat Venkatasubramanian

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

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

Venkat Venkatasubramanian

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

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

Venkat Venkatasubramanian

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

(311c) Superstructure Optimization Using the Extended Sfiles Representation of Flowsheets Combining Domain Knowledge, Machine Learning, and Symbolic AI

Venkat Venkatasubramanian

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

(88d) A Knowledge-Graph-Based Pharmaceutical Engineering Chatbot for Drug Discovery

Naz Pinar Taskiran

Arijit Chakraborty

Venkat Venkatasubramanian

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

(169cn) Accelerating Drug Discovery through the Automatic Population of a Pharmaceutical Ontology Using Knowledge Graphs

Naz Pinar Taskiran

Arijit Chakraborty

Venkat Venkatasubramanian

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

(375q) Contrastive Learning to Improve Pharmaceutical Knowledge Graph Quality in Machine Learning

Adheesh Kadiresan

Naz Pinar Taskiran

Arijit Chakraborty

Venkat Venkatasubramanian

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

Associated proceedings

2020 Virtual AIChE Annual Meeting

2021 Annual Meeting

2022 Annual Meeting

2023 AIChE Annual Meeting

2024 AIChE Annual Meeting