R. Babbar-Sebens’ research interests lie in the area of Water Resources and Environmental Systems Analysis. Her research program develops and employs multiple hydroinformatics approaches (for example, computational environmental and socio-economic models, multi-objective optimization, interactive optimization, evolutionary computing, multi-agent models, Markov decision processes, neural networks, human-computer interaction, high performance computing, etc.) to (a) improve the understanding of higher-order human-environment interactions (such as emerging behaviors and dynamic relationships) in water-based systems, and (b) support human-computer collaboration for integrated, adaptive, and sustainable management of complex water-based systems.
