NCM
NARCOX: Non-Stationary Auto-Regressive Transformers for Cognitive Modeling with Ocular Exogenous Input
Neurocomputing, Volume 678, 2026
About
Hi! I am a PhD student in Electrical and Computer Engineering at Purdue University, where I am a Graduate Research Fellow at the AIDA3 Research Center and am advised by Prof. Qiang Qiu.
I currently work on anomaly detection for engine health monitoring using variational autoencoders for sensor reconstruction and interventional simulation. My earlier Purdue research modeled cognitive state as an autoregressive time series using EEG-derived targets and exogenous ocular features. That work led to NARCOX, a wavelet-based transformer published in Neurocomputing.
Before Purdue, I completed an M.S. in Electrical and Computer Engineering at UCLA and a B.Tech. in Electronics and Communication Engineering, with a minor in Computer Science, at PES University.
Research Interests
- Computer vision and deep learning
- Time-series modelling and anomaly detection
- Causal AI and interventional simulation
- Cognitive modeling with EEG and ocular signals
Technical Skills
Programming
Data Science
Tools
Systems & Data
Selected Publications See all →
ITW
Block-MDS QC-LDPC Codes with Application to High-Dimensional Quantum Key Distribution
IEEE Information Theory Workshop, 2024
QIP
Efficient Information Reconciliation in Quantum Key Distribution Systems Using Informed Design of Non-Binary LDPC Codes
Quantum Information Processing, 2024
Selected Projects See all →
Classification of Imagined Movement with EEG Signals
Predicted imagined movements from raw electroencephalogram signals collected from 22 electrodes. Evaluated CNNs, LSTMs, spatiotemporal CNNs, GANs, and Transformers. A spatiotemporal CNN with an LSTM achieved the best accuracy of...
Twitter Data Mining
Crawled tweets about the Super Bowl game between the Patriots and Seahawks and performed lemmatization, feature extraction, dimensionality reduction, and word embedding generation. Built L1, L2, random forest, and perceptron...
Image Colorization
Built four image-colorization models using ResNet, U-Net, and generative adversarial networks. Implemented a data loader with suitable transforms and an inference script for grayscale images. Skills: Python · PyTorch ·...
News & Highlights
2026Published NARCOX in Neurocomputing.
2026Serving as an external reviewer for AAAI and NeurIPS.
2024Started as a Graduate Research Fellow at Purdue's AIDA3 Research Center.
2024Published two works on information reconciliation and LDPC codes for quantum key distribution.
2023Completed an M.S. in Electrical and Computer Engineering at UCLA.
Service
External Reviewer
AAAI (2026, 2027) · NeurIPS (2026)