About Me
I am a PhD candidate in Computer Science at the University of Virginia, working at the Biocomplexity Institute. My research focuses on developing computational tools for public policy and decision-making, particularly in the areas of large-scale disaster management and infrastructure development.
My work combines machine learning, optimization, and agent-based modeling to solve complex real-world problems. I have published in venues including PNAS, IJCAI, CIKM, and IEEE conferences, and have collaborated with institutions like Pacific Northwest National Laboratory.
Education
University of Virginia, School of Engineering and Applied Science
Research Focus: Computational tools for public policy and decision-making in large-scale disaster management and infrastructure development
University of Virginia, School of Engineering and Applied Science
GPA: 4.0 / 4.0
Coursework: Machine Learning, Graph Mining, Topics in Learning and Game Theory
Bangladesh University of Engineering and Technology
GPA: 3.86 / 4.0
Major: Artificial Intelligence
Selected Publications
[1] CHARGE-MAP: An Integrated Framework to Study Multi-criteria EV Charging Infrastructure Expansion Problem
Accepted for publication in Proceedings of the National Academy of Sciences (PNAS)
Kazi Ashik Islam, Aparna Kishore, Rounak Meyur, Swapna Thorve, Da Qi Chen, H. Vincent Poor, and Madhav Marathe
[2] Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations
Under Review at AAAI-26, 2026
Developed masked conditional diffusion model achieving 62% performance improvement over state-of-the-art methods
[3] Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting
ACM SIGSPATIAL-25 (To be Published)
Demonstrated 64% improvement over baselines in coastal inundation prediction accuracy
[4] A Scalable Game-Theoretic Approach to Urban Evacuation Routing and Scheduling
IEEE International Conference on Big Data, 2024
Formulated strategic routing game and proved existence of pure Nash equilibria
[5] Simulation Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays
IJCAI-23, 2023
Designed solution method utilizing Agent-based simulation and AI that outperforms state-of-the-art
View All Publications on Google Scholar
Honors & Awards
Carlos and Esther Farrar Fellowship Award
School of Engineering and Applied Science, University of Virginia (2023-2024)
Best Demonstration Paper Award
International Symposium on Spatial and Temporal Databases (SSTD), 2017
Dean's List Scholarship
Bangladesh University of Engineering and Technology
University Merit List Scholarship
Bangladesh University of Engineering and Technology