Research
Explainable Neural Claim Verification Using Rationalization
A novel explainable claim verfication system using NLP and generative language models.
🏆 Graduate Student Research Excellence Award
Thesis Poster Survey Paper Conference Paper
DeepAg: Deep Learning for Precision Agriculture
Leverages Deep Learning to measure the effects of outlier events when predicting multivariate relationships in the precision agriculture ecosystem.
🏆 Published at AAAI 2021 Fall Symposium Series and IEEE SSCI 2021 Conference
Applications of Machine Learning For Precision Agriculture and Smart Farming
Application of various Machine Learning methods and techniques to improve precision agriculture processes and systems.
🏆 Published at the 34th International FLAIRS Conference 2021
Transfer Learning for Satellite Imagery Road Quality Prediction
Utilized CNNs and Transfer Learning to build machine learning models that predicted road quality from high-resolution satellite imagery data.
🏆 Research with William & Mary GeoLab Fellowship (12% Acceptance Rate)
American Sign Language Recognition Architecture
Developed a novel multi-stream activity recognition model that uses sequential video data, generative depth, and motion to recognize sign language.
🏆 Published at 2019 IEEE Massachusetts Institute of Technology URTC Conference.