Document Type

Presentation

Publication Date

4-2-2026

Keywords

Generative AI, Large Language Models, Cybersecurity, Transportation Security, Political Science, AI Resiliency, Machine Learning, Artificial Intelligence

Disciplines

Engineering | Physical Sciences and Mathematics

Abstract

This presentation examines the role of generative artificial intelligence (GenAI) and large language models (LLMs) in addressing complex challenges across cybersecurity, political science, and transportation security. Dr. Latifur Khan discusses how advanced AI methods can be applied to threat detection, data analysis, and decision-making in high-risk and data-intensive environments. The talk highlights interdisciplinary applications of LLMs, emphasizing their ability to extract insights from large-scale data, improve system resilience, and support intelligent infrastructure. Emerging research directions and practical implications for real-world deployment are also discussed.

Comments

Free and open access to this work is made available to the UMass Boston community by ScholarWorks at UMass Boston. Those not on campus and those without a UMass Boston campus username and password may gain access to this work through Interlibrary Loan. If you have a UMass Boston campus username and password and would like to download this work from off-campus, click on the “Off-Campus Users” button.

Rights

© 2026 Latifur Khan

Download

Share

COinS