Meghna Babbar-Sebens

25 papers B 7Misc 1Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Trustworthy and Responsible Decision-Making Framework for Resource Management in Food-Energy-Water Nexus: A Control-Theoretical Approach.
ACM Trans. Intell. Syst. Technol.
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens, Jenna H. Tilt
2024 — conf
Causal Inference to Enhance AI Trustworthiness in Environmental Decision-Making.
AINA (4)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens
2022 — conf
Trustworthy Fairness Metric Applied to AI-Based Decisions in Food-Energy-Water.
AINA (2)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Mimoza Durresi, Meghna Babbar-Sebens
2021 J jnl
A Trustworthy Human-Machine framework for collective decision making in Food-Energy-Water management: The role of trust sensitivity.
Knowl. Based Syst.
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens, Jenna H. Tilt
2021 — conf
Trustworthy Acceptance: A New Metric for Trustworthy Artificial Intelligence Used in Decision Making in Food-Energy-Water Sectors.
AINA (1)
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Mimoza Durresi, Meghna Babbar-Sebens
2020 Misc conf
Control Theoretical Modeling of Trust-Based Decision Making in Food-Energy-Water Management.
CISIS
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens, Jenna H. Tilt
2020 — conf
Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences.
ICHMS
Meghna Babbar-Sebens, Kenneth R. Cannady-Shultz, Snehasis Mukhopadhyay
2020 B conf
Trust-Based Decision Making for Food-Energy-Water Actors.
AINA
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens
2019 B conf
Decision Support System Using Trust Planning Among Food-Energy-Water Actors.
AINA
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens
2019 J jnl
Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities.
Environ. Model. Softw.
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, Takuya Iwanaga, Daniel P. Loucks, Wendy S. Merritt, Scott D. Peckham, Amy K. Richmond, Fateme Zare, Gabriele Bammer
2019 — conf
InterACTWEL Science Gateway for Adaptation Planning in Food-Energy-Water Sectors of Local Communities.
PEARC
Meghna Babbar-Sebens, Samuel J. Rivera, Eroma Abeysinghe, Suresh Marru, Marlon E. Pierce, Eric Coulter, Majid Farahani, Dimuthu Wannipurage, Marcus Christie
2019 — conf
Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design.
ICRAI
Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2019 — conf
Trust-Based Game-Theoretical Decision Making for Food-Energy-Water Management.
BWCCA
Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens
2019 J jnl
Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems.
AI Commun.
Thanh Nguyen, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
2018 — conf
Machine Learning with Small Data for User Modeling of Watershed Stakeholders Engaged in Interactive Optimization.
CSAI/ICIMT
Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2018 — conf
Uncertainty-Based Deep Learning Networks for Limited Data Wetland User Models.
AIVR
Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2016 B conf
Fuzzy and deep learning approaches for user modeling in wetland design.
SMC
Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2015 J jnl
A web-based software tool for participatory optimization of conservation practices in watersheds.
Environ. Model. Softw.
Meghna Babbar-Sebens, Snehasis Mukhopadhyay, Vidya Bhushan Singh, Adriana Debora Piemonti
2014 B conf
User modeling with limited data: Application to stakeholder-driven watershed design.
SMC
Snehasis Mukhopadhyay, Vidya Bhushan Singh, Meghna Babbar-Sebens
2013 B conf
User Modelling for Interactive Optimization Using Neural Network.
SMC
Vidya Bhushan Singh, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
2012 — conf
Decentralized pursuit learning automata in batch mode.
SCIS&ISIS
Vidya Bhushan Singh, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
2012 J jnl
Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design.
Appl. Soft Comput.
Meghna Babbar-Sebens, Barbara S. Minsker
2011 B conf
Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds.
SMC
Omkar J. Tilak, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2010 J jnl
A Case-Based Micro Interactive Genetic Algorithm (CBMIGA) for interactive learning and search: Methodology and application to groundwater monitoring design.
Environ. Model. Softw.
Meghna Babbar-Sebens, Barbara S. Minsker
2009 B conf
Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water Monitoring.
SMC
Meghna Babbar-Sebens, Snehasis Mukhopadhyay