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I am a fourth year Computer Science Ph.D. candidate at the University of Virginia. My current interest falls in Time Series deep learning and interpretation using state-of-the-art techniques. Currently, I am advised by Professor Judy Fox and Professor Geoffrey Fox as my Co-Adviser. My prior experiences include improving code review and software development processes. For inquiries about my research, please feel free to email me at khairulislam@virginia.edu. See my recent works on Google Scholar.

Prior to UVA, I have worked in Samsung Research, Bangladesh for 2 years as a iOS software developer, 2018-2020. I completed my B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology at 2018. In my spare time I enjoy playing Chess and Table Tennis.

News

• Jan 2025: I’ll be a TA for Foundations of Data Analysis - course instructor Professor Miaomiao Zhang.
• Jan 2024 - Arxiv paper Scalable Cosmic AI Inference using Cloud Serverless Computing with FMI - This introduces a new infrastructure for serverless computing using astronomy images and a foundation model called AstroMAE.
• Dec 2024 - WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models accepted at AAAI’25 WORKSHOP: AI FOR TIME SERIES ANALYSIS (AI4TS).
• Nov 2024 - Got featured in UVA Engineering news, check here for details.
• Nov 2024 - Our paper “Large Language Models for Financial Aid in Financial Time-series Forecasting” has been accepted in IEEE BigData 2024 Workshop on Large Language Models for Finance.
• Oct 2024 - New project: AI Institute astronomy research with NRAO (National Radio Astronomy Observatory).
• Sep 2024 - First Place Winner of the 2024 COVID Information Commons (CIC) Student Paper Challenge Graduate Student Cohort organized by Columbia University!
• Aug 2024 - I’ll be a TA for the CS6501: Wireless Sensing for Internet of Things course this Fall semester.
• May 2024 - I graduated from UVA with a Master’s (En Route) degree in Computer Science.
• Dec 2023 - Paper accepted in AAAI’24 WORKSHOP: AI FOR TIME SERIES ANALYSIS (AI4TS). Title: Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections
• Nov 2023 - Alhamdulillah, got married to my long time acquaintance Dr. Tabassum. You see, this is the most important news here :3.
• Nov 2023 - Passed my Ph.D. qualifier exam defense. My thesis title was : “Windowed Temporal Saliency Rescaling of Time Series Deep Learning Models”. In this work, I showed a better way to interpret time series models by explicitly considering temporal importance.
• Oct 2023 - Paper accepted in AAAI/SIGAI Doctoral Consortium, 2024. Title : Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models.
• July 2023 - Third prize in NSF Student Research Award at IEEE International Conference on Digital Health.
• June 2023 - Gave my Ph.D. qualifier exam proposed on time series interpretation.

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