Assistant Research Professor in the Department of Computer Science and Engineering at Mississippi State University, with eleven years of research experience in machine learning, natural language processing, cybersecurity, computer vision, and bioinformatics.

Neural Variational Learning for Grounded Language Acquisition. Nisha Pillai, Cynthia Matuszek, and Francis Ferraro.
In 34th International FLAIRS Conference(FLAIRS), 2021
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Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data. Nisha Pillai, Cynthia Matuszek, and Francis Ferraro.
In 34th International FLAIRS Conference(FLAIRS), 2021
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Sampling Approach Matters: Active Learning for Robotic Language Acquisition. Nisha Pillai, Edward Raff, Francis Ferraro, and Cynthia Matuszek.
In IEEE BigData (special session on machine learning in big data), 2020
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Building Language-Agnostic Grounded Language Learning Systems. Caroline Kerry, Nisha Pillai, Cynthia Matuszek, and Francis Ferraro.
In IEEE International Conference on Robot & Human Interactive Communication (Ro-Man), 2019
Paper   

Deep Learning for Category-Free Grounded Language Acquisition. Nisha Pillai, Cynthia Matuszek, and Francis Ferraro.
In NAACL Workshop on Spatial Language Understanding & Grounded Communication for Robotics (NAACL-SpLU-RoboNLP), 2019
Paper   Slides   Poster 

Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition. Nisha Pillai, Francis Ferraro, and Cynthia Matuszek.
In Robotics: Science and Systems (R:SS) Workshop on Models and Representations for Natural Human-Robot Communication, 2018
Paper   

Unsupervised Selection of Negative Examples for Grounded Language Learning.. Nisha Pillai and Cynthia Matuszek.
In the 32nd Conference on Artificial Intelligence (AAAI), 2018
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Identifying Negative Exemplars in Grounded Language Data Sets.. Nisha Pillai and Cynthia Matuszek.
In Robotics: Science and Systems (R:SS) Workshop on Spatial-Semantic Representations in Robotics, 2017
Paper   Slides   Poster

Improving Grounded Language Acquisition Efficiency Using Interactive Labeling.. Nisha Pillai, Karan. K. Budhraja, and Cynthia Matuszek.
In Robotics: Science and Systems (R:SS) Workshop on Model Learning for Human-Robot Communication, 2016
Paper   Slides   Poster