Publications & Research Output

30+ peer-reviewed publications across cardiovascular AI, computational epidemiology, and machine learning

Cardiovascular & ECG-Based AI

When Should a Model NOT Change Its Mind? A Physiologic Perspective on Concept Drift in Multimodal ECG Deep Learning
Authorea Preprints, 2025
More Isn't Always Better: Investigating Redundancy and Complementarity in Multimodal ECG Deep Learning
2025
Rethinking multimodality: Optimizing multimodal deep learning for biomedical signal classification
IEEE Access, 2025
Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate Versus Late Fusion
IEEE Access, 2025
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
IEEE Access, 2024
ML-ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling
IEEE Access, 2023
A CNN Transfer Learning–Electrocardiogram (ECG) Signal Approach to Predict COVID-19
IEEE International Conference on Computer and Automation Engineering (ICCAE), 2023
Automatic Electrocardiogram Detection of Suspected Hypertrophic Cardiomyopathy: Application to Wearable Heart Monitors
IEEE Sensors Letters, 2021

Natural Language Processing & Health Sentiment Analysis

COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets
MDPI, 2023
A Machine Learning – Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show the Polarity of Public Opinion from Twitter Tweets
IEEE Access, 2023
Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning–Natural Language Processing (NLP) Approach
IEEE Access, 2023
Covid-19 Vaccine Hesitancy: Text Mining, Sentiment Analysis and Machine Learning on COVID-19 Vaccination Twitter Dataset
Journal of Expert Systems with Applications, 2022

Computational Epidemiology & COVID-19 Analysis

COVID-19 Fatality Rate Classification Using Synthetic Minority Oversampling Technique (SMOTE) for Imbalanced Class
IEEE International Conference on Pattern Recognition and Machine Learning, 2021
A Time Series Analysis and Forecast of COVID-19 Health Care Disparity
PLOS ONE, 2021 (Submitted)
Exponential Smoothening Forecast of African Americans' COVID-19 Fatalities
International Conference on Computing and Data Science (CONF-CDS), 2021

Neurological Applications (Epilepsy & Fall Detection)

Deep Neural Networks for Human Fall-Risk Prediction Using Force-Plate Time Series Signal
Journal of Expert Systems with Applications, 2021
A Machine Learning Approach to Epileptic Seizure Prediction Using Electroencephalogram (EEG) Signal
Biocybernetics & Biomedical Engineering, 2020

Deep Learning & Signal Processing

Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM)
10th IEEE International Conference on Information Science and Technology (ICIST), 2020
Data Augmentation for Mixed Spectral Signatures Coupled with Convolutional Neural Networks
9th IEEE International Conference on Information Science and Technology (ICIST, 2019)
A Deep Learning Model for Source Code Generation
IEEE SoutheastCon, 2019
A Gaussian Data Augmentation Technique on Highly Dimensional, Limited Labeled Data for Multiclass Classification Using Deep Learning
10th IEEE International Conference on Intelligent Control and Information Processing (ICICIP, 2019)
A Data Augmentation-Assisted Deep Learning Model for High Dimensional and Highly Imbalanced Hyperspectral Imaging Data
9th IEEE International Conference on Information Science and Technology (ICIST, 2019)

Climate & Energy Forecasting

Investigation of Data Size Variability in Wind Speed Prediction of AI Algorithms
Journal of Cybernetics and Systems, 2020

Real Estate Analytics & Hedonic Pricing

Foreclosure Sale and House Value: Correlation or Causation?
16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017
A Spatio-Temporal Hedonic House Regression Model
16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017
Spatial Dependency and Hedonic Housing Regression Model
15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016
Hedonic Housing Theory – A Machine Learning Investigation
15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016

Security & Cloud Computing

Homomorphic Encryption and Data Security in the Cloud
28th International Conference on Software Engineering and Data Engineering, 2019

Additional Submissions

An Optimized ConvNet-LSTM Deep Learning Probabilistic Approach to Source Code Generation with Abstract Syntax Tree and Hyper-Parameter Tuning
Journal of Expert Systems with Applications, 2020 (Submitted)