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Neda Mohammadi's scholarly work spans the theoretical foundations of artificial intelligence (AI), computational modeling, and analytics for practical applications, integrating cyberinfrastructure-enabled technologies to advance city infrastructure systems. Her research has made significant contributions to understanding the complexities of evolving interactions between humans and civil infrastructure systems, energy, mobility, and communication, characterizing the far-reaching impacts on community life. A central aspect of her work is the creation of Digital Twins, which provide a platform to explore interdependencies, uncertainties, and evolving interoperability in complex human-infrastructure systems over time and space, amplifying their transformative potential. She leads research initiatives on 'Smart City Digital Twins,' collaborating extensively with city authorities, governments, and diverse stakeholders to drive Smart City initiatives toward sustainability, resilience, and digital transformation. Mohammadi aims to advance engineering decision-making by leveraging Generative AI for advanced modeling of Cyber-Physical Infrastructure Systems, enabling contextual data synthesis and realistic scenario generation. As a principal investigator, she has led multiple research grants supported by leading funding organizations, including the National Science Foundation (NSF), resulting in high-impact journal publications.
Department of Computer Science: GRE scores are optional for Fall 2026.