• Johns Hopkins University

Ph.D. in Systems Engineering (2020)

• Politecnico di Milano

M.Sc. in Risk Mitigation (2015)

• Sharif University of Technology

B.Sc. in Civil Engineering (2010)

• Natural Language Processing (text summarization)
• Probabilistic Risk Assessment
• Statistical Learning
• Agent-Based Modeling
• System Dynamics
• Regression Analysis
• Simulation-Based Uncertainty Quantification
• Multi-Level and Multi-Objective Optimization
• Metaheuristic Optimization
• Programming Languages: Python, C++, R, MATLAB, NetLogo, HTML, JavaScript
• Tools: ArcGIS, GAMS, SAP2000

• MInD - Healthcare: Modeling Infectious Diseases in Healthcare Network (Paper: Effects of stochasticity) (Python Github Repo) (C++ Github Repo)
• Flu Scenario Modeling Hub (mRNA Flu Vaccine Paper)
• Analysis of the Potential Impact of COVID-19 Vaccine on Morbidity and Mortality
• JHU COVID-19 Interactive Web-Based Dashboard
• Multi-Scale Hospital Evacuation Simulation
• Updated Seismic Fragility Functions for Cold-Formed Steel Framed Shear Walls per FEMA P-58 Methodology
• Policy Evaluation to Improve Access to Dental Care for Working Poor Populations: An Agent-Based Modeling Approach (in progress)
• Agent-Based Modeling to Support Policy Evaluation for Quit Smoking (in progress)
• Agent-Based Large-Scale Evacuation Simulation
• Pedestrian Walking Algorithms for Agent-Based City Evacuation Simulation (NetLogo)(Python)
• Multilevel Alignment of Critical Infrastructure Protection and Resilience (CIP-R) programs (MS Thesis)(MIRACLE Project)

SABES: STEM Achievement in Baltimore Elementary Schools (SABES) is an NSF-funded collaboration between Baltimore City Public Schools and Johns Hopkins University to improve educational outcomes in STEM disciplines throughout Baltimore City’s elementary schools with a targeted focus on community engagement in three neighborhoods. Read More