Md. Khairul Islam

According to our database, Md. Khairul Islam authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe.

Md. Khairul Islam, Zeyu Xia, Ryan Ghiles Goudjil, Jialu Wang, Arya Farahi, Judy Fox

CoRR, February, 2026

OmniSpectra: A Unified Foundation Model for Native Resolution Astronomical Spectra.

Md. Khairul Islam, Judy Fox

CoRR, January, 2026

Scalable cosmic AI inference using cloud serverless computing.

Mills Staylor, Amirreza Dolatpour Fathkouhi, Md. Khairul Islam, Kaleigh O'Hara, Ryan Ghiles Goudjil, Geoffrey C. Fox, Judy Fox

Int. J. High Perform. Comput. Appl., 2026

2025

Scalable Cosmic AI Inference using Cloud Serverless Computing with FMI.

Mills Staylor, Amirreza Dolatpour Fathkouhi, Md. Khairul Islam, Kaleigh O'Hara, Ryan Ghiles Goudjil, Geoffrey C. Fox, Judy Fox

CoRR, January, 2025

2024

Does Differential Privacy Impact Bias in Pretrained Language Models?

Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao

IEEE Data Eng. Bull., 2024

WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models.

Md. Khairul Islam, Judy Fox

CoRR, 2024

Does Differential Privacy Impact Bias in Pretrained NLP Models?

Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao

CoRR, 2024

Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections.

Md. Khairul Islam, Tyler Valentine, Timothy Joowon Sue, Ayush Karmacharya, Luke Neil Benham, Zhengguang Wang, Kingsley Kim, Judy Fox

CoRR, 2024

Large Language Models for Financial Aid in Financial Time-series Forecasting.

Md. Khairul Islam, Ayush Karmacharya, Timothy Joowon Sue, Judy Fox

Proceedings of the IEEE International Conference on Big Data, 2024

Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models.

Md. Khairul Islam

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MVAM: Multi-variant Attacks on Memory for IoT Trust Computing.

Arup Kumar Sarker, Md. Khairul Islam, Yuan Tian

CoRR, 2023

Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models.

Md. Khairul Islam, Yingzheng Liu, Andrej Erkelens, Nick Daniello, Aparna Marathe, Judy Fox

Proceedings of the IEEE International Conference on Digital Health, 2023

MVAM: Multi-variant Attacks on Memory for IoT Trust Computing.

Arup Kumar Sarker, Md. Khairul Islam, Yuan Tian, Geoffrey C. Fox

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022

Early prediction for merged vs abandoned code changes in modern code reviews.

Md. Khairul Islam, Toufique Ahmed, Rifat Shahriyar, Anindya Iqbal, Gias Uddin

Inf. Softw. Technol., 2022

Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models.

Md. Khairul Islam, Di Zhu, Yingzheng Liu, Andrej Erkelens, Nick Daniello, Judy Fox

CoRR, 2022

2020

Network Anomaly Detection Using LightGBM: A Gradient Boosting Classifier.

Md. Khairul Islam, Prithula Hridi, Md. Shohrab Hossain, Husnu S. Narman

Proceedings of the 30th International Telecommunication Networks and Applications Conference, 2020

2019

Accepted or Abandoned? Predicting the Fate of Code Changes.

Md. Khairul Islam, Toufique Ahmed, Fahim Ahmed, Anindya Iqbal

CoRR, 2019