WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
Md. Khairul Islam, and Judy Fox.
CV
Education
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- Ph.D in Computer Science, University of Virginia, (2021 - )
- M.E. in Computer Science, University of Virginia, 2024
- B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology, 2018
Work experience
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- Spring 2021 - Now : Graduate Research Assistant
- Computer Science, University of Virginia
- Duties included: Time series deep learning and interpretation
- Supervisor: Professor Judy Fox
- 12/2018 - 12/2020: Software Developer
- Samsung Research, Dhaka, Bangladesh
- Duties included: iOS app development
- Skills used: Swift, C++, Agile development
- Summer 2018: Research Intern
- REVE Systems Limited, Dhaka, Bangladesh
- Duties included: Bengali Speech Recognition and data collection
- Skills used: Pytorch
Skills
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- Python
- Pytorch
- Tensorflow
- Scikit-learn
- C++
- Documentation
- HTML
- Markdown
- Javascript
Publications
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Large Language Models for Financial Aid in Financial Time-series Forecasting
Md. Khairul Islam, Ayush Karmacharya, Timothy Sue, and Judy Fox.
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, and Judy Fox.
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models
Md. Khairul Islam, and Judy Fox.
Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models
Md. Khairul Islam, Yingzheng Liu, Andrej Erkelen, Nick Daniello, Aparna Marathe, and Judy Fox.
MVAM: Multi-variant Attacks on Memory for IoT Trust Computing
Arup Kumar Sarker, Md. Khairul Islam, Yuan Tian, and Geoffrey Fox.
Does Differential Privacy Impact Bias in Pretrained NLP Models?
Md Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, and Jieyu Zhao.
Early prediction for merged vs abandoned code changes in modern code reviews
Islam K, Ahmed T, Shahriyar R, Iqbal A, Uddin G.
Network Anomaly Detection Using LightGBM: A Gradient Boosting Classifier
Md. Khairul Islam, Prithula Hridi, M. S. Hossain and H. S. Narman.
Teaching
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