🍵Khandakar Ashrafi Akbar is a researcher and academic specializing in cybersecurity and machine learning, currently pursuing a Ph.D. at The University of Texas at Dallas. Her research centers on usable security, improving AI performance across both general and specialized domains, and exploring the nuanced factors that shape decision-making in Generative AI systems. With a strong foundation in interdisciplinary collaboration, Ashrafi integrates theory and practice to design socially responsible, cost-effective security solutions. Her work spans threat detection, ontology development, and the application of LLMs in transportation, reflecting a commitment to innovation, accessibility, and real-world impact.
Ph.D. in Computer Science
The University of Texas at Dallas
M.Sc in Computer Science
The University of Texas at Dallas
B.Sc in Computer Science and Engineering
Bangladesh University of Engineering and Technology
If you are passionate about research, eager to explore impactful ideas, and committed to producing high-quality work, I would love to connect. Please feel free to reach out to me via email at ashrafi@utdallas.edu
Got a paper accepted at the co-located IWSPA workshop!
Attended TRB 2025 and presented our papers at Washington, D.C.!
Two of our papers titled “Retrieval Augmented Generation-Based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps” and “Data Security & Privacy Regulation in the U.S.; A 50-State Legislative Survey” got acceptance at TRB 2025 and are further forwarded to TRR
Got one poster paper titled “Bridging Legal Knowledge Gaps in Cybersecurity for Connected and Automated Transportation Systems with Large Language Models” accepted and attended TraCR 2024 conference
Congratulations to my brother, Shovan, and my sister-in-law, Tisha, on starting their life together!
Got a paper accepted titled “The Design and Application of a Unified Ontology for Cyber Security” at the 19th International Conference on Information and Systems Security
