2 citations · 2 across the 6 of their papers we have counts for
6 papers
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics
Ivan A. Fernandez, Subash Neupane, Trisha Chakraborty +5
Industry 4.0 has witnessed the rise of complex robots fueled by the integration of Artificial Intelligence/Machine Learning (AI/ML) and Digital Twin (DT) technologies. While these…
Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity
Nisha Pillai, Bindu Nanduri, Michael J Rothrock +2
Synthetic microbiomes offer new possibilities for modulating microbiota, to address the barriers in multidtug resistance (MDR) research. We present a Bayesian optimization approach…
EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications
Nisha Pillai, Athish Ram Das, Moses Ayoola +3
Artificial intelligence (AI) techniques are widely applied in the life sciences. However, applying innovative AI techniques to understand and deconvolute biological complexity is h…
Towards Interpreting Multi-Objective Feature Associations
Nisha Pillai, Ganga Gireesan, Michael J. Rothrock +3
Understanding how multiple features are associated and contribute to a specific objective is as important as understanding how each feature contributes to a particular outcome. Int…
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization
Ganga Gireesan, Nisha Pillai, Michael J Rothrock +3
Pathogen control is a critical aspect of modern poultry farming, providing important benefits for both public health and productivity. Effective poultry management measures to redu…
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments
Charles Moore, Shaswata Mitra, Nisha Pillai +4
A major challenge with off-road autonomous navigation is the lack of maps or road markings that can be used to plan a path for autonomous robots. Classical path planning methods mo…