Publications

2024

2020

Hidden representations in deep neural networks: Part 1. Classification

Sivaram A, Das L, Venkatasubramanian V

2019

Control of complex sociotechnical systems: Importance of causal models and game theory

Venkatasubramanian, V., Luo Y., Zhang Z.

A hierarchical approach for causal modeling of process systems

Suresh R, Sivaram A, Venkatasubramanian V.

The promise of artificial intelligence in chemical engineering: Is it here, finally?

Venkatasubramanian, Venkat

2018

Social influence makes self-interested crowds smarter: An optimal control perspective

Luo, Y., Iyengar, G., Venkatasubramanian

Neural Network to Understand Process Capability and Process Intermediates Acceptance Criteria in Monoclonal Antibody Production Process

Li, Y.F and Venkatasubramanian, V.

How much income inequality is fair? Nash bargaining solution and connection to entropy

Venkatasubramanian, V. and Luo, Y.

2017

Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection

Remolona, M. F. M., Conway, M. F., Balasubramanian, S., Fan, L., Feng, Z., Gu, T., ... & Rastogi, N.

Towards a Financial Statement Based Approach to Modeling Systemic Risk in Insurance and Banking

Iyengar, G., Luo, Y., Rajgopal, S., Venkatasubramanian, V., & Zhang, Z.

How Much Inequality Is Fair?: Mathematical Principles of a Moral, Optimal, and Stable Capitalist Society

Venkatasubramanian, V.

Statistical Teleodynamics: Toward a Theory of Emergence

Venkatasubramanian, V.

Knowledge Management Framework for Emerging Infectious Diseases Preparedness and Response

Zhang Z, Gonzalez MC, Morse SS, Venkatasubramanian V.

2016

Soft regulation with crowd recommendation: coordinating self-interested agents in sociotechnical systems under imperfect information

Yu Luo, Garud Iyengar, and Venkat Venkatasubramanian

TeCSMART: A hierarchical framework for modeling and analyzing systemic risk in sociotechnical systems

Venkat Venkatasubramanian and Zhizun Zhang

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