15 citations · 17 across the 6 of their papers we have counts for
7 papers
BRIDGE-EEG: Bridging Self-Supervised Pretraining and Efficient Deployment for Cross-Dataset EEG Classification
Meghna Roy Chowdhury, Chengwei Zhou, Haotian Yu +2
The growing use of electroencephalography (EEG) motivates automated analysis that is accurate, transferable, and deployable on constrained hardware. Recent EEG foundation models le…
From Muscle to Text with MyoText: sEMG to Text via Finger Classification and Transformer-Based Decoding
Meghna Roy Chowdhury, Shreyas Sen, Yi Ding
Surface electromyography (sEMG) provides a direct neural interface for decoding muscle activity and offers a promising foundation for keyboard-free text input in wearable and mixed…
SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
Meghna Roy Chowdhury, Yi Ding, Shreyas Sen
Electroencephalography (EEG) plays a crucial role in brain-computer interfaces (BCIs) and neurological diagnostics, but its real-world deployment faces challenges due to noise arti…
Design-Space Exploration of Distributed Neural Networks in Low-Power Wearable Nodes
Meghna Roy Chowdhury, Ming-che Li, Archisman Ghosh +2
Wearable devices increasingly support intelligent applications such as augmented reality, continuous health monitoring, and vision-based interaction. However, the neural networks (…
Keystroke Detection by Exploiting Unintended RF Emission from Repaired USB Keyboards
Md Faizul Bari, Yi Xie, Meghna Roy Choudhury +1
Electronic devices and cables inadvertently emit RF emissions as a byproduct of signal processing and/or transmission. Labeled as electromagnetic emanations, they form an EM side-c…
Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
Meghna Roy Chowdhury, Wei Xuan, Shreyas Sen +2
Mental health issues among college students have reached critical levels, significantly impacting academic performance and overall wellbeing. Predicting and understanding mental he…
A Computational Harmonic Detection Algorithm to Detect Data Leakage through EM Emanation
Md Faizul Bari, Meghna Roy Chowdhury, Shreyas Sen
Unintended electromagnetic emissions, called EM emanations, can be exploited to recover sensitive information, posing security risks. Metal shielding, used by defense organizations…