Deepu John

Assistant Professor

UCD

Ireland

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Deepu John is an Assistant Professor at University College Dublin (UCD) in Ireland. His research interests encompass multimodal data fusion, deep learning applications, and biomedical signal processing, with a particular focus on respiratory rate estimation and atrial fibrillation detection. Recent publications include works on decentralized biomedical signal classification and high-performance unsupervised pre-training frameworks for ECG analysis.

Deepu John

Research Interests

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Articles (23)

Multimodal fusion for robust respiratory rate estimation in wearable sensing

MLFusion: Multilevel Data Fusion using CNNs for atrial fibrillation detection

DyCE: Dynamically Configurable Exiting for deep learning compression and real-time scaling

DCentNet: Decentralized multistage biomedical signal classification using early exits

Signal-quality-aware multisensor fusion for atrial fibrillation detection

POCKET: Pruning random convolution kernels for time series classification from a feature selection perspective

A Task-Generic High-Performance Unsupervised Pre-Training Framework for ECG

A Two-Stage ECG Classifier for Decentralized Inferencing Across Edge-Cloud Continuum

ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors

ECG Classification With Event-Driven Sampling

FEC-Aided Decision Feedback Blind Mismatch Calibration of TIADCs in Wireless Time-Varying Channel Environments

A Background Jitter Calibration for ADCs Using TDC Phase Information From ADPLL

A low‐power charge‐based integrate‐and‐fire circuit for binarized‐spiking neural network

A Foreground Mismatch and Memory Harmonic Distortion Calibration Algorithm for TIADC

An evaluation of ECG data fusion algorithms for wearable IoT sensors

Class-Separation Preserving Pruning for Deep Neural Networks

Interpretable Rule Mining for Real-Time ECG Anomaly Detection in IoT Edge Sensors

ESSM: Extended Synaptic Sampling Machine With Stochastic Echo State Neuro-Memristive Circuits

Low Complexity Binarized 2D-CNN Classifier for Wearable Edge AI Devices

A Background Calibration for Joint Mismatch in the OFDM System With Time-Interleaved ADC

A Multimodal Data Fusion Technique for Heartbeat Detection in Wearable IoT Sensors

ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors

A predictive analytics approach for stroke prediction using machine learning and neural networks

Collaborators (5)

Oisin Boydell

Barry Cardiff

haoyang shen

Guoxin Wang

Keshab K. Parhi

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