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  • Shankar Narasimhan

Shankar Narasimhan

Equitable supply in intermittently operated rural water networks in emerging economies
Learning Mesh and Multiple Conserved Networks From Data
Comprehensive Errors-invariables-based model identification (Part 2)
Comprehensive Errors-invariables-based Model Identification (Part 1)
Optimal Filtering and Residual Analysis in Errors-in-Variables Model Identification
Learning Conserved Networks From Flows
Extraction of Pure Species Spectra from Labeled Mixture Spectral Data
Optimal power distribution control for a network of fuel cell stacks
Actuator network design to mitigate contamination effects in Water Distribution Networks
Identification of Errors-in-Variables Models Using Dynamic Iterative Principal Component Analysis
Sensor network design for contaminant detection and identification in water distribution networks
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Founded in August 2017, with a vision to become an internationally renowned centre for data science research, where long-standing fundamental research problems, cutting across disciplines, are targeted and solved.

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