Venkat Venkatasubramanian

Venkat Venkatasubramanian

Columbia University in the City of New York

H-index: 62

North America-United States

About Venkat Venkatasubramanian

Venkat Venkatasubramanian, With an exceptional h-index of 62 and a recent h-index of 29 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Artificial Intelligence, Risk Analysis, Materials Design, Emergence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Density and Affinity Dependent Social Segregation and Arbitrage Equilibrium in a Multi-class Schelling Game

Rethinking chemical engineering education

eSFILES: Intelligent process flowsheet synthesis using process knowledge, symbolic AI, and machine learning

G‐MATT: Single‐step retrosynthesis prediction using molecular grammar tree transformer

Hybrid AI modeling techniques for pilot scale bubble column aeration: A comparative study

An Improved Machine Learning Model for Pure Component Property Estimation

Inhibiting PAC1 receptor internalization and endosomal ERK pathway activation may ameliorate hyperalgesia in a chronic migraine rat model

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Venkat Venkatasubramanian Information

University

Position

Samuel Ruben-Peter G. Viele Professor of Engineering

Citations(all)

20400

Citations(since 2020)

5201

Cited By

15935

hIndex(all)

62

hIndex(since 2020)

29

i10Index(all)

176

i10Index(since 2020)

81

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Venkat Venkatasubramanian Skills & Research Interests

Artificial Intelligence

Risk Analysis

Materials Design

Emergence

Top articles of Venkat Venkatasubramanian

Title

Journal

Author(s)

Publication Date

Density and Affinity Dependent Social Segregation and Arbitrage Equilibrium in a Multi-class Schelling Game

arXiv preprint arXiv:2403.04084

Venkat Venkatasubramanian

Jessica Shi

Leo Goldman

Abhishek Sivaram

2024/3/6

Rethinking chemical engineering education

Nature Chemical Engineering

Jinlong Gong

David C Shallcross

Yan Jiao

Venkat Venkatasubramanian

Richard Davis

...

2024/2

eSFILES: Intelligent process flowsheet synthesis using process knowledge, symbolic AI, and machine learning

Computers & Chemical Engineering

Vipul Mann

Mauricio Sales-Cruz

Rafiqul Gani

Venkat Venkatasubramanian

2024/2/1

G‐MATT: Single‐step retrosynthesis prediction using molecular grammar tree transformer

AIChE Journal

Kevin Zhang

Vipul Mann

Venkat Venkatasubramanian

2024/1

Hybrid AI modeling techniques for pilot scale bubble column aeration: A comparative study

Computers & Chemical Engineering

Peter Jul-Rasmussen

Arijit Chakraborty

Venkat Venkatasubramanian

Xiaodong Liang

Jakob Kjøbsted Huusom

2024/6/1

An Improved Machine Learning Model for Pure Component Property Estimation

Engineering

Xinyu Cao

Ming Gong

Anjan Tula

Xi Chen

Rafiqul Gani

...

2024/4/27

Inhibiting PAC1 receptor internalization and endosomal ERK pathway activation may ameliorate hyperalgesia in a chronic migraine rat model

Cephalalgia

Lily Zhang

Yanjie Zhou

Yajuan Wang

Liu Yang

Yue Wang

...

2023/4

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Yaochen Zheng

Xiaoxue Xu

Zhigang Xu

Junqiang Wang

Hong Cai

2017

Identifying first-principles models for bubble column aeration using machine learning

Peter Jul-Rasmussen

Arijit Chakraborty

Venkat Venkatasubramanian

Xiaodong Liang

Jakob Kjøbsted Huusom

2023/1/1

SUSIE: Pharmaceutical CMC ontology-based information extraction for drug development using machine learning

Computers & Chemical Engineering

Vipul Mann

Shekhar Viswanath

Shankar Vaidyaraman

Jeya Balakrishnan

Venkat Venkatasubramanian

2023/11/1

Intelligent process flowsheet synthesis and design using extended SFILES representation

Vipul Mann

Rafiqul Gani

Venkat Venkatasubramanian

2023/1/1

Jaynes Machine: The universal microstructure of deep neural networks

arXiv preprint arXiv:2310.06960

Venkat Venkatasubramanian

N Sanjeevrajan

Manasi Khandekar

2023/10/10

Arbitrage Equilibrium, Invariance, and the Emergence of Spontaneous Order in the Dynamics of Bird-like Agents

Entropy

Abhishek Sivaram

Venkat Venkatasubramanian

2023/7/11

Group contribution-based property modeling for chemical product design: A perspective in the AI era

Fluid Phase Equilibria

Vipul Mann

Rafiqul Gani

Venkat Venkatasubramanian

2023/5/1

Invisible hand and arbitrage equilibrium in the self-organizing dynamics of pattern formation in ecological systems

arXiv preprint arXiv:2312.05765

Venkat Venkatasubramanian

Abhishek Sivaram

2023/12/10

XAI‐MEG: Combining symbolic AI and machine learning to generate first‐principles models and causal explanations

AIChE Journal

Abhishek Sivaram

Venkat Venkatasubramanian

2022/3/25

Artificial intelligence in reaction prediction and chemical synthesis

Venkat Venkatasubramanian

Vipul Mann

2022/6/1

Teaching Artificial Intelligence to Chemical Engineers: Experience from a 35-year-old course

Chemical Engineering Education

Venkat Venkatasubramanian

2022

AI-driven Hypernetwork of Organic Chemistry: Network Statistics and Applications in Reaction Classification

CoRR

Vipul Mann

Venkat Venkatasubramanian

2022

Hybrid, interpretable machine learning for thermodynamic property estimation using grammar2vec for molecular representation

Fluid Phase Equilibria

Vipul Mann

Karoline Brito

Rafiqul Gani

Venkat Venkatasubramanian

2022/10/1

See List of Professors in Venkat Venkatasubramanian University(Columbia University in the City of New York)

Co-Authors

H-index: 92
Francis Doyle

Francis Doyle

Harvard University

H-index: 52
Aditya Bhan

Aditya Bhan

University of Minnesota-Twin Cities

H-index: 49
Rajagopalan Srinivasan

Rajagopalan Srinivasan

Indian Institute of Technology Madras

H-index: 45
Raghunathan Rengaswamy

Raghunathan Rengaswamy

Indian Institute of Technology Madras

H-index: 43
Jochen Lauterbach

Jochen Lauterbach

University of South Carolina

H-index: 42
Karl-Erik Arzen

Karl-Erik Arzen

Lunds Universitet

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