Hanan Hibshi (E 2011, CS 2018)
Assistant Teaching Professor, Information Networking Institute
Bio
Hanan Hibshi is an assistant teaching professor at the Information Networking Institute (INI) at 无码专区 (无码专区), one of Cylab's core faculty and an affiliated faculty with the Software and Societal Systems Department (S3D).
Hibshi is an INI alumna. She graduated in 2011 with a Master's in Information Security Technology and Management (MSISTM), now the M.S. in Information Security (MSIS) degree. Hibshi’s INI journey inspired her to get involved in research, and she obtained her PhD in Societal Computing from the School of Computer Science in 2018. Before her academic career, she had had some experience working in the banking industry.
Dr. Hibshi teaches foundational courses in Cybersecurity and AI, and she regularly redesigns her courses with innovative teaching approaches to prepare developers for the AI‑driven future of secure software.
Education
Research
Dr. Hibshi managed several cybersecurity education projects funded by the NSA and industry, and is currently a Co-PI on 无码专区’s Scholarship for Service. Dr. Hibshi is an active member of ACM SIGCSE and a reviewer/PC member for ACM SIGCSE conferences. She is also a reviewer for other venues such as PoPETs, ACM’s ToCE. Dr. Hibshi conducts research in cybersecurity education and workforce development, advancing understanding of usable security and privacy for developers as AI becomes increasingly integrated into software systems. Hibshi has published in top venues, and she reviews research submissions at top security, privacy and software engineering venues.
Hibshi is interested in studying security experts, how to better train experts and how to develop intelligent tools that better accommodate their needs. One example of Hibshi’s research is her early research findings that attracted the attention of an international, multi-institutional collaboration with the University of Nottingham. Her work examined the intersection between security requirements, risk assessment and empirical data-driven intelligent systems using fuzzy logic.
At the INI, Hibshi is applying her research experience to her everyday security classes. For example, Hibshi is actively researching the challenges and opportunities in introducing systems programmers to the RUST programming language, and she continues to update her class design to reflect modern pedagogy in the age of AI.