Nisha Pillai

According to our database, Nisha Pillai authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Policy-Driven Transfer Learning in Resource-Limited Animal Monitoring.

Nisha Pillai, Aditi Virupakshaiah, Harrison Smith, Amanda Ashworth, Prasanna Gowda, Phillip Owens, Adam R. Rivers, Bindu Nanduri, Mahalingam Ramkumar

CoRR, September, 2025

2024

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity.

Nisha Pillai, Bindu Nanduri, Michael J. Rothrock Jr., Zhiqian Chen, Mahalingam Ramkumar

CoRR, 2024

Towards Interpreting Multi-Objective Feature Associations.

Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

CoRR, 2024

Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization.

Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

CoRR, 2024

Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities.

Subash Neupane, Shaswata Mitra, Ivan A. Fernandez, Swayamjit Saha, Sudip Mittal, Jingdao Chen, Nisha Pillai, Shahram Rahimi

IEEE Access, 2024

Towards Interpreting Multi-Objective Feature Associations.

Nisha Pillai, Ganga Gireesan, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

Proceedings of the IEEE International Systems Conference, 2024

EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications.

Nisha Pillai, Athish Ram Das, Moses Ayoola, Ganga Gireesan, Bindu Nanduri, Mahalingam Ramkumar

Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity.

Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics.

Ivan A. Fernandez, Subash Neupane, Trisha Chakraborty, Shaswata Mitra, Sudip Mittal, Nisha Pillai, Jingdao Chen, Shahram Rahimi

Proceedings of the 10th IEEE International Conference on Collaboration and Internet Computing, 2024

2023

No-boundary thinking for artificial intelligence in bioinformatics and education.

Prajay Patel, Nisha Pillai, Inimary T. Toby

Frontiers Bioinform., May, 2023

URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments.

Charles Moore, Shaswata Mitra, Nisha Pillai, Marc Moore, Sudip Mittal, Cindy L. Bethel, Jingdao Chen

CoRR, 2023

Towards Optimal Microbiome to Inhibit Multidrug Resistance.

Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2021

Neural Variational Learning for Grounded Language Acquisition.

Nisha Pillai, Cynthia Matuszek, Francis Ferraro

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Cyber-Physical System Security Surveillance using Knowledge Graph based Digital Twins - A Smart Farming Usecase.

Sai Sree Laya Chukkapalli, Nisha Pillai, Sudip Mittal, Anupam Joshi

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data.

Nisha Pillai, Cynthia Matuszek, Francis Ferraro

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

Sampling Approach Matters: Active Learning for Robotic Language Acquisition.

Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Building Language-Agnostic Grounded Language Learning Systems.

Caroline Kery, Nisha Pillai, Cynthia Matuszek, Francis Ferraro

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

2018

Unsupervised Selection of Negative Examples for Grounded Language Learning.

Nisha Pillai, Cynthia Matuszek

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018