Nisha M. Pillai

Does Multimodal Dementia Detection Rely on Culturally-Variable Discourse Patterns? Evidence from Gating Analysis and Perturbation Testing.

Syed Mohammed Farhan, Ali El Bellaj, Charan Gudla, Nisha Pillai.

IEEE Engineering in Medicine and Biology Society (EMBC) 2026

Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models.

Umesh Biswas, Shafqat Hasan, Syed Mohammed Farhan, Nisha Pillai, Charan Gudla.

IEEE SoutheastCon 2026

Graph symbolic regression to interpret the propagation of Vesicular Stomatitis Virus across the US and Mexico.

Tamanna Rashme, Zonghan Zhang, Jason Weeks, Marouane Benbrahim, Zijian Zhang, Zhiqian Chen, Nisha Pillai, Ram Ramkumar, Bindu Nanduri.

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems 2025

Denoised Diffusion for Object-Focused Image Augmentation.

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

IEEE International Conference on Advances in Data-Driven Analytics and Intelligent Systems 2025

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

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

IEEE International Conference on Future Machine Learning and Data Science (FMLDS2025) 2025

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity.

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

IEEE Engineering in Medicine and Biology Society (EMBC) 2024

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

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

IEEE Access 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.

IEEE 10th International Conference on Collaboration and Internet Computing (CIC) 2024

Towards Interpreting Multi-Objective Feature Associations.

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

IEEE International Systems Conference (SysCon) 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.

7th International Conference on Information and Computer Technologies (ICICT) 2024

Exploring pathogen presence prediction in pastured poultry farms through transformer-based models and attention mechanism explainability.

Athish Ram Das, Nisha Pillai, Bindu Nanduri, Michael J Rothrock Jr, Mahalingam Ramkumar.

Microorganisms 2024

No-Boundary Thinking for Artificial Intelligence in Bioinformatics and Education.

Prajay Patel, Nisha Pillai, Inimary Toby.

Frontiers in Bioinformatics 2023

Predicting Foodborne Pathogens and Probiotics Taxa within Poultry-Related Microbiomes Using a Machine Learning Approach.

Moses Ayoola, Nisha Pillai, Bindu Nanduri, Michael Rothrock Jr, Mahalingam Ramkumar.

Animal Microbiome 2023

Towards Optimal Microbiome to Inhibit Multidrug Resistance.

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

IEEE CIBCB 2023

Artificial Intelligence Models for Zoonotic Pathogens: A Survey.

Nisha Pillai, Mahalingam Ramkumar, Bindu Nanduri.

Microorganisms 2022

Cyber-physical system security surveillance using knowledge graph based digital twins — a smart farming usecase.

Chukkapalli, S. S. L., Pillai, N., Mittal, S., and Joshi, A.

IEEE International Conference on Intelligence and Security Informatics (ISI) 2021

Neural Variational Learning for Grounded Language Acquisition.

Nisha Pillai, Cynthia Matuszek, and Francis Ferraro.

IEEE International Conference on Robot and Human Interactive Communication (Ro-Man) 2021

Sampling Approach Matters: Active Learning for Robotic Language Acquisition.

Nisha Pillai, Edward Raff, Francis Ferraro, and Cynthia Matuszek.

IEEE BigData 2020

Deep Learning for Category-Free Grounded Language Acquisition.

Nisha Pillai, Cynthia Matuszek, and Francis Ferraro.

NAACL Workshop on Spatial Language Understanding and Grounded Communication for Robotics 2019

Unsupervised Selection of Negative Examples for Grounded Language Learning.

Nisha Pillai and Cynthia Matuszek.

32nd Conference on Artificial Intelligence (AAAI) 2018

Identifying Negative Exemplars in Grounded Language Data Sets.

Nisha Pillai and Cynthia Matuszek.

RSS Workshop on Spatial-Semantic Representations in Robotics 2017

Improving Grounded Language Acquisition Efficiency Using Interactive Labeling.

Nisha Pillai, Karan K. Budhraja, and Cynthia Matuszek.

RSS Workshop on Model Learning for Human-Robot Communication 2016