Axon terminal polarization induced by weak uniform DC electric fields: A modeling study. - Mattia Arlotti; Asif Rahman; Preet Minhas; Marom Bikson (EMBC, 2012)

Ensemble of Feature-based and Deep learning-based Classifiers for Detection of Abnormal Heart Sounds. - Cristhian Potes; Saman Parvaneh; Asif Rahman; Bryan Conroy (CinC, 2016)

Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings. - Saman Parvaneh; Jonathan Rubin; Asif Rahman; Bryan Conroy; Saeed Babaeizadeh (CinC, 2017)

Patient Similarity Using Population Statistics and Multiple Kernel Learning. - Bryan Conroy; Minnan Xu-Wilson; Asif Rahman (MLHC, 2017)

An ensemble boosting model for predicting transfer to the pediatric intensive care unit. - Jonathan Rubin; Cristhian Potes; Minnan Xu-Wilson; Junzi Dong; Asif Rahman; Hiep Nguyen; David Moromisato (Int. J. Medical Informatics, 2018)

A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series. - Yale Chang; Jonathan Rubin; Gregory Boverman; Shruti Vij; Asif Rahman; Annamalai Natarajan; Saman Parvaneh (CinC, 2019)

A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification. - Annamalai Natarajan; Yale Chang; Sara Mariani; Asif Rahman; Gregory Boverman; Shruti Vij; Jonathan Rubin (CinC, 2020)

Phenotyping with Prior Knowledge using Patient Similarity. - Asif Rahman; Yale Chang; Bryan Conroy; Minnan Xu-Wilson (MLHC, 2020)

Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series. - Asif Rahman; Yale Chang; Jonathan Rubin (CoRR, 2021)

Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome. - Emma H. Schwager; Katharina Jansson; Asif Rahman; S. Schiffer; Yale Chang; Gregory Boverman; Brian Gross; Minnan Xu-Wilson; P. Boehme; Hubert Truebel; Joseph J. Frassica (npj Digit. Medicine, 2021)

Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution. - Francesca Manni; Aleksandr Bukharev; Anshul Jain; Shiva Moorthy; Asif Rahman; Anca Bucur (AMIA, 2022)

Energy Consumption Modeling for DED-based Hybrid Additive Manufacturing. - Md. Rabiul Hasan; Zhichao Liu; Asif Rahman (CoRR, 2023)

Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection. - Md. Abu Sayed; Asif Rahman; Christopher Kiekintveld; Sebastian Garcia (ACSAC Workshops, 2024)

MARCO: A Multi-Agent System for Optimizing HPC Code Generation Using Large Language Models. - Asif Rahman; Veljko Cvetkovic; Kathleen Reece; Aidan Walters; Yasir Hassan; Aneesh Tummeti; Bryan Torres; Denise Cooney; Margaret Ellis 001; Dimitrios S. Nikolopoulos (CoRR, 2025)