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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
Network Anomaly Detection Using LightGBM: A Gradient Boosting Classifier
Published in International Telecommunication Networks and Applications Conference (ITNAC), 2020
Md. Khairul Islam, Prithula Hridi, M. S. Hossain and H. S. Narman.Early prediction for merged vs abandoned code changes in modern code reviews
Published in Information and Software Technology, 2022
Islam K, Ahmed T, Shahriyar R, Iqbal A, Uddin G.Does Differential Privacy Impact Bias in Pretrained NLP Models?
Published in AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2023
Md Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, and Jieyu Zhao.MVAM: Multi-variant Attacks on Memory for IoT Trust Computing
Published in Proceedings of Cyber-Physical Systems and Internet of Things Week, 2023
Arup Kumar Sarker, Md. Khairul Islam, Yuan Tian, and Geoffrey Fox.Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models
Published in IEEE International Conference on Digital Health, 2023
Third Place, NSF Student Research Competition, ICDH 2023
Md. Khairul Islam, Di Zhu, Yingzheng Liu, Andrej Erkelen, Nick Daniello, Aparna Marathe, and Judy Fox.Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models
Published in Twenty-Ninth AAAI/SIGAI Doctoral Consortium, 2024
Md. Khairul Islam, and Judy Fox.Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections
Published in AAAI'24 WORKSHOP: AI FOR TIME SERIES ANALYSIS (AI4TS), 2024
First Place, 2024 COVID Information Commons Student Paper Challenge (graduate cohort)
Md. Khairul Islam, Tyler Valentine, Timothy Joowon Sue, Ayush Karmacharya, Luke Neil Benham, Zhengguang Wang, Kingsley Kim, and Judy Fox.Does Differential Privacy Impact Bias in Pretrained Language Models?
Published in Data Engineering Bulletin, 2024
Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, and Jieyu Zhao.Large Language Models for Financial Aid in Financial Time-series Forecasting
Published in The IEEE BigData 2024 International Workshop on Large Language Models for Finance, 2024
Md. Khairul Islam, Ayush Karmacharya, Timothy Sue, and Judy Fox.WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
Published in AAAI'25 WORKSHOP: AI FOR TIME SERIES ANALYSIS (AI4TS), 2024
Md. Khairul Islam, and Judy Fox.Scalable Cosmic AI Inference using Cloud Serverless Computing
Published in International Journal of High Performance Computing Applications, 2025
Mills Staylor, Amirreza Dolatpour Fathkouhi, Md Khairul Islam, Kaleigh O 'Hara, Ryan Ghiles Goudjil, Geoffrey Fox, Judy Fox.Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe
Published in KDD '26: 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
Md Khairul Islam, Zeyu Xia, Ryan Goudjil, Jialu Wang, Arya Farahi, Judy Fox.OmniSpectra: A Unified Foundation Model for Universal Spectra Representation Learning
Published in [Under Review], 2026
Md. Khairul Islam, Zeyu Xia, Adam S. Bolton, and Judy Fox.talks
teaching
[Spring 2024] Teaching Assistant in DS 5110: Big Data Systems
Graduate Course, Data Science School, University of Virginia., 2024
This course covers the current state and future trends in hardware and software for Big Data Systems and applications. Our overarching goal is to build efficient software and hardware for big data processing, analytics and machine learning at scale. Core topics covered include distributed data processing, cloud-scale ML pipelines, and automated feature engineering, using AWS SageMaker and S3. Course instructor: Professor Judy Fox. The course website is here: UVA-MLSys/Big-Data-Systems.
[Fall 2024] Teaching Assistant in CS 6501: Wireless Sensing for Internet of Things
Graduate Course, Computer Science, University of Virginia., 2024
This course covers the wireless sensing basics (e.g., radar, Wi-Fi) and cutting-edge applications (e.g., motion tracking, activity recognition, environmental sensing). Core technologies covered include radar signal processing, Wi-Fi sensing (OFDM, MIMO, Channel State Information), and mmWave/CmWave sensing. Course instructor: Professor Kun Qian. The course website is here.
[Spring 2025] Teaching Assistant in CS 3501 / ECE 3502: Foundations of Data Analysis
Undergraduate Course, Computer Science, University of Virginia., 2025
This course covers the foundations of data analysis, including statistical inference, data wrangling, and exploratory data analysis. Core topics covered include probability theory, linear algebra, dimensionality reduction, regression, classification, and deep neural networks, implemented in Python. Course instructor: Professor Miaomiao Zhang. The course website is here: FoDA.
[Summer 2025] Teaching Assistant in DS 5110: Big Data Systems
Graduate Course, Data Science School, University of Virginia., 2025
This course covers the current state and future trends in hardware and software for Big Data Systems and applications. Our overarching goal is to build efficient software and hardware for big data processing, analytics and machine learning at scale. Core topics covered include distributed data processing, cloud-scale ML pipelines, and automated feature engineering, using AWS SageMaker and S3. Course instructor: Professor Judy Fox. The course website is here: UVA-MLSys/DS5110_Summer_2025.
[Fall 2025] Teaching Assistant in CS 3240: Software Engineering
Undergraduate Course, Computer Science, University of Virginia., 2025
Analyzes modern software engineering practice for multi-person projects; methods for requirements specification, design, implementation, verification, and maintenance of large software systems; advanced software development techniques and large project management approaches; project planning, scheduling, resource management, accounting, configuration control, and documentation. Students build a full-stack web application using Python, Django, and PostgreSQL, deployed to Heroku with GitHub Actions CI. Course instructors: Professor Mark Sherriff and Professor Derrick Stone. The course website is here: uva-cs3240-f25.
[Fall 2025] Teaching Assistant in DS 5012: Computation for Data Science
Graduate Course, Data Science School, University of Virginia., 2025
This course is designed to equip you with the fundamental tools and techniques essential for solving complex computational problems. Throughout the course, we will explore a wide array of data structures—such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables—and learn how to effectively implement and use them in Python. Course instructor: Professor Judy Fox.
[Spring 2026] Teaching Assistant in CS 3240: Software Engineering
Undergraduate Course, Computer Science, University of Virginia., 2026
Analyzes modern software engineering practice for multi-person projects; methods for requirements specification, design, implementation, verification, and maintenance of large software systems; advanced software development techniques and large project management approaches; project planning, scheduling, resource management, accounting, configuration control, and documentation. Course instructors: Professor Mark Sherriff and Professor Sarah Elder. The course website is here: cs3240.org.