Meghna Roy Chowdhury

Engineering · Purdue University West Lafayette

Early career · publishing since 2021Rising activity

Advanced Memory and Neural Computing Physical Unclonable Functions (PUFs) and Hardware Security Electrostatic Discharge in Electronics Advanced Sensor and Energy Harvesting Materials EEG and Brain-Computer Interfaces

Publications

Citations

Est. group size

Recurring co-author estimate

Active years

Publishing since 2021

Research summary

AI-generated

Meghna Roy Chowdhury works on hardware security and wearable/biomedical signal processing, including detecting data leakage from electromagnetic emissions of cables and devices, and using machine learning on physiological signals such as EEG, sEMG, ECG, and PPG for applications like brain-computer interfaces, muscle-to-text decoding, and anesthesia depth prediction. Their work often combines low-power embedded computing with signal analysis and machine learning techniques for wearable and IoT devices.

Hardware security and electromagnetic emanation detectionWearable and low-power embedded neural networksEEG and brain-computer interface signal processingBiomedical signal analysis (ECG, PPG, sEMG)Machine learning for physiological and security data

Publication output was minimal or absent before 2021 but has grown steadily since, peaking at 5 in 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.6/year recently

Recent publications

From Muscle to Text with MyoText: sEMG to Text via Finger Classification and Transformer-Based Decoding
arXiv (Cornell University) · 2026
From Muscle to Text with MyoText: sEMG to Text via Finger Classification and Transformer-Based Decoding
arXiv (Cornell University) · 2026
A Computational Harmonic Detection Algorithm to Detect Data Leakage Through EM Emanation
IEEE Internet of Things Journal · 2025
Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
2025
SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
arXiv (Cornell University) · 2025
SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
2025
Design-Space Exploration of Distributed Neural Networks in Low-Power Wearable Nodes
arXiv (Cornell University) · 2025
Leveraging Ultra-Low-Power Wearables Using Distributed Neural Networks
2024
A Computational Harmonic Detection Algorithm to Detect Data Leakage through EM Emanation
arXiv (Cornell University) · 2024
Is Broken Cable Breaking Your Security?
2023
Long Range Detection of Emanation from HDMI Cables Using CNN and Transfer Learning
2023
Carbon Footprint Analysis Using Knowledge Graph
Lecture notes in networks and systems · 2022
Detection of Rogue Devices using Unintended Near and Far-field Emanations with Spectral and Temporal Signatures
2022 IEEE/MTT-S International Microwave Symposium - IMS 2022 · 2022
Deep learning via ECG and PPG signals for prediction of depth of anesthesia
Biomedical Signal Processing and Control · 2021

Publishes in

arXiv (Cornell University)×5
Biomedical Signal Processing and Control×1
IEEE Internet of Things Journal×1
Lecture notes in networks and systems×1
2022 IEEE/MTT-S International Microwave Symposium - IMS 2022×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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