Asif Rahman

Orcid: 0009-0004-4939-2065

According to our database1, Asif Rahman authored at least 18 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Coordinated Multi-Domain Deception: A Stackelberg Game Approach.
Proceedings of the International Conference on Computing, Networking and Communications, 2026

2025
MARCO: A Multi-Agent System for Optimizing HPC Code Generation Using Large Language Models.
CoRR, May, 2025

MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification.
Proceedings of the 24th IEEE International Conference on Trust, 2025

Design Considerations for a Third Order Passive Loop Filter in a PLL.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2025

2024
Using Choice Overload to Degrade Cyber Attacks.
Proceedings of the Game Theory and AI for Security, 2024

Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection.
Proceedings of the Annual Computer Security Applications Conference, 2024

2023
Energy Consumption Modeling for DED-based Hybrid Additive Manufacturing.
CoRR, 2023

2022
Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution.
Proceedings of the AMIA 2022, 2022

2021
Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome.
npj Digit. Medicine, 2021

Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series.
CoRR, 2021

2020
Phenotyping with Prior Knowledge using Patient Similarity.
Proceedings of the Machine Learning for Healthcare Conference, 2020

A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification.
Proceedings of the Computing in Cardiology, 2020

2019
A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series.
Proceedings of the 46th Computing in Cardiology, 2019

2018
An ensemble boosting model for predicting transfer to the pediatric intensive care unit.
Int. J. Medical Informatics, 2018

2017
Patient Similarity Using Population Statistics and Multiple Kernel Learning.
Proceedings of the Machine Learning for Healthcare Conference, 2017

Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings.
Proceedings of the Computing in Cardiology, 2017

2016
Ensemble of Feature-based and Deep learning-based Classifiers for Detection of Abnormal Heart Sounds.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2012
Axon terminal polarization induced by weak uniform DC electric fields: A modeling study.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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