CV

Education

• Ph.D. in Computer Science, University of Virginia, (2021 – Present)
• 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

• Spring 2021 – Present: Graduate Research Assistant
  • Computer Science, University of Virginia
  • Duties: Time series deep learning and interpretation
  • Supervisor: Professor Judy Fox
• Dec 2018 – Dec 2020: Software Developer
  • Samsung Research, Dhaka, Bangladesh
  • Duties: iOS app development
  • Skills: Swift, C++, Agile development
• Summer 2018: Research Intern
  • REVE Systems Limited, Dhaka, Bangladesh
  • Duties: Bengali speech recognition and data collection
  • Skills: PyTorch

Skills

• Deep learning: transformers, diffusion and flow matching models, foundation models and self-supervised pretraining, LLM fine-tuning and prompting, sequence and time series modeling, explainable AI and feature attribution
• Frameworks and libraries: PyTorch, Hugging Face (Transformers, Diffusers, Accelerate), TensorFlow, Scikit-learn, NumPy, Pandas, Captum, Weights & Biases
• Training and inference at scale: multi-GPU and distributed training (DDP), mixed precision, HPC clusters (SLURM), model optimization for inference, serverless deployment on AWS Lambda, Docker
• Cloud and data: AWS (SageMaker, S3, Lambda), large-scale data pipelines, experiment tracking and reproducible training workflows
• Programming languages: Python, C++, SQL, Swift, JavaScript, Bash
• Software engineering: Git, GitHub Actions CI/CD, Django, PostgreSQL, REST APIs, agile development, open-source library development (tslens on PyPI)
• Communication: 7+ peer-reviewed publications, conference talks, teaching assistant for seven graduate and undergraduate courses

Publications

• OmniSpectra: A Unified Foundation Model for Universal Spectra Representation Learning

  Md. Khairul Islam, Zeyu Xia, Adam S. Bolton, and Judy Fox.

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

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

• Scalable Cosmic AI Inference using Cloud Serverless Computing

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

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

  Md. Khairul Islam, and Judy Fox.

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

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

• Does Differential Privacy Impact Bias in Pretrained Language Models?

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

• 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, Di Zhu, 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

• [Spring 2026] Teaching Assistant in CS 3240: Software Engineering

• [Fall 2025] Teaching Assistant in DS 5012: Computation for Data Science

• [Fall 2025] Teaching Assistant in CS 3240: Software Engineering

• [Summer 2025] Teaching Assistant in DS 5110: Big Data Systems

• [Spring 2025] Teaching Assistant in CS 3501 / ECE 3502: Foundations of Data Analysis

• [Fall 2024] Teaching Assistant in CS 6501: Wireless Sensing for Internet of Things

• [Spring 2024] Teaching Assistant in DS 5110: Big Data Systems