A Multiscale Master-Slave Parallel Genetic Algorithm with Application to Groundwater Remediation Design. - Meghna Babbar; Barbara S. Minsker (GECCO Late Breaking Papers, 2002)

Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water Monitoring. - Meghna Babbar-Sebens; Snehasis Mukhopadhyay (SMC, 2009)

A Case-Based Micro Interactive Genetic Algorithm (CBMIGA) for interactive learning and search: Methodology and application to groundwater monitoring design. - Meghna Babbar-Sebens; Barbara S. Minsker (Environ. Model. Softw., 2010)

Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds. - Omkar J. Tilak; Meghna Babbar-Sebens; Snehasis Mukhopadhyay (SMC, 2011)

Decentralized pursuit learning automata in batch mode. - Vidya Bhushan Singh; Snehasis Mukhopadhyay; Meghna Babbar-Sebens (SCIS&ISIS, 2012)

Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design. - Meghna Babbar-Sebens; Barbara S. Minsker (Appl. Soft Comput., 2012)

User Modelling for Interactive Optimization Using Neural Network. - Vidya Bhushan Singh; Snehasis Mukhopadhyay; Meghna Babbar-Sebens (SMC, 2013)

User modeling with limited data: Application to stakeholder-driven watershed design. - Snehasis Mukhopadhyay; Vidya Bhushan Singh; Meghna Babbar-Sebens (SMC, 2014)

A web-based software tool for participatory optimization of conservation practices in watersheds. - Meghna Babbar-Sebens; Snehasis Mukhopadhyay; Vidya Bhushan Singh; Adriana Debora Piemonti (Environ. Model. Softw., 2015)

Fuzzy and deep learning approaches for user modeling in wetland design. - Andrew Hoblitzell; Meghna Babbar-Sebens; Snehasis Mukhopadhyay (SMC, 2016)

Uncertainty-Based Deep Learning Networks for Limited Data Wetland User Models. - Andrew Hoblitzell; Meghna Babbar-Sebens; Snehasis Mukhopadhyay (AIVR, 2018)

Machine Learning with Small Data for User Modeling of Watershed Stakeholders Engaged in Interactive Optimization. - Andrew Hoblitzell; Meghna Babbar-Sebens; Snehasis Mukhopadhyay (CSAI/ICIMT, 2018)

Decision Support System Using Trust Planning Among Food-Energy-Water Actors. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Meghna Babbar-Sebens (AINA, 2019)

Trust-Based Game-Theoretical Decision Making for Food-Energy-Water Management. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Meghna Babbar-Sebens (BWCCA, 2019)

Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design. - Andrew Hoblitzell; Meghna Babbar-Sebens; Snehasis Mukhopadhyay (ICRAI, 2019)

InterACTWEL Science Gateway for Adaptation Planning in Food-Energy-Water Sectors of Local Communities. - Meghna Babbar-Sebens; Samuel J. Rivera; Eroma Abeysinghe; Suresh Marru; Marlon E. Pierce; Eric Coulter; Majid Farahani; Dimuthu Wannipurage; Marcus Christie (PEARC, 2019)

Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems. - Thanh Nguyen 005; Snehasis Mukhopadhyay; Meghna Babbar-Sebens (AI Commun., 2019)

Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities. - Jennifer M. Badham; Sondoss El Sawah; Joseph H. A. Guillaume; Serena H. Hamilton; Randall J. Hunt; Anthony J. Jakeman; Suzanne A. Pierce; Valerie O. Snow; Meghna Babbar-Sebens; Baihua Fu; Patricia Gober; Mary C. Hill; et al. (Environ. Model. Softw., 2019)

Trust-Based Decision Making for Food-Energy-Water Actors. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Meghna Babbar-Sebens (AINA, 2020)

Control Theoretical Modeling of Trust-Based Decision Making in Food-Energy-Water Management. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Meghna Babbar-Sebens; Jenna H. Tilt (CISIS, 2020)

Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences. - Meghna Babbar-Sebens; Kenneth R. Cannady-Shultz; Snehasis Mukhopadhyay (ICHMS, 2020)

Trustworthy Acceptance: A New Metric for Trustworthy Artificial Intelligence Used in Decision Making in Food-Energy-Water Sectors. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Mimoza Durresi; Meghna Babbar-Sebens (AINA (1), 2021)

A Trustworthy Human-Machine framework for collective decision making in Food-Energy-Water management: The role of trust sensitivity. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Meghna Babbar-Sebens; Jenna H. Tilt (Knowl. Based Syst., 2021)

Trustworthy Fairness Metric Applied to AI-Based Decisions in Food-Energy-Water. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Mimoza Durresi; Meghna Babbar-Sebens (AINA (2), 2022)

Causal Inference to Enhance AI Trustworthiness in Environmental Decision-Making. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Meghna Babbar-Sebens (AINA (4), 2024)

A Trustworthy and Responsible Decision-Making Framework for Resource Management in Food-Energy-Water Nexus: A Control-Theoretical Approach. - Suleyman Uslu; Davinder Kaur; Samuel J. Rivera; Arjan Durresi; Meghna Babbar-Sebens; Jenna H. Tilt (ACM Trans. Intell. Syst. Technol., 2025)