Enhancing Cyber Resilience with AI-Powered Cyber Insurance Risk Assessment: This project, led by Shadi Jawhar, Jeremy Miller, Creig Kimble, and Zeina Bitar, delves into using AI to augment the entire cyber insurance lifecycle. Accepted by IEEE and to be presented at CCWC’2024, this study demonstrates how AI can significantly enhance cybersecurity resilience, crucial for cyber security professionals.https://ieeexplore.ieee.org/abstract/document/10427965

AI-Based Cybersecurity Policies and Procedures: Spearheaded by the same team, this research emphasizes the role of AI in formulating effective cybersecurity policies and procedures. Accepted for ICAIC’2024, it underscores AI’s capability to rapidly generate precise and effective digital defense policies, addressing the needs of both private and public sectors.https://ieeexplore.ieee.org/abstract/document/10433845 

AI-Driven Customized Cyber Security Training and Awareness: This initiative focuses on leveraging AI to enhance cybersecurity education and awareness comprehensively. Also accepted for ICAIC’2024, the project, led by Shadi Jawhar, Jeremy Miller, and Zeina Bitar, explores the efficiency of AI mechanisms in improving the entire cybersecurity education lifecycle.https://ieeexplore.ieee.org/abstract/document/10433829

AIUniGuide: AI-Powered Customized University Career Guidance: This project extends the application of AI beyond cybersecurity, aiming to revolutionize university career guidance. It proposes an AI-integrated web application to provide personalized educational pathways and career recommendations, assisting students in making informed decisions about their academic and professional futures.

Abstract:

A university career decision is one of the hardest decisions that high school students must make to navigate into their academic journey. Guidance plays an important role in helping students understand the available options and shape their future. The wide variety of these available options along with the changing job market pose challenges in providing efficient guidance. Artificial intelligence (AI) can provide a solution that helps customize the university career guidance based on each student profile. The primary objective of this study is to evaluate the effectiveness of artificial intelligence in enhancing university career guidance for high school students, by providing personalized recommendations based on their academic background and preferences. The guidance is provided by introducing a web application that collects information from the student through a multi-step array of questions, providing a clear description of students’ academic background and their preferences. Through integration with AI via a developed Application Programmable Interface (API) module, the tool collects information from students, and matches it to university opportunities and evolving job markets. Through this analysis, personalized career recommendations and guidance are provided to clarify different educational pathways so students can make informed decisions. This AI integration represents significant progress toward helping students with the necessary guidance to understand the most suitable educational journeys and pursue careers aligned with their preferences and capabilities. This study demonstrates the effectiveness of the studied AI-driven guidance system. By analyzing the academic and career trajectories of high school students who utilized the web application hosted as bestuniforme.com, we observed a significant improvement in their decision-making confidence and satisfaction levels. Preliminary findings suggest that students who engaged with the AI-guided system were m..