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Book of Abstracts | 2025 Developing an Application for Rehabilitation of Speech and Language Abilities
CS-B-11
Hadar Abergil; hadarabergil@gmail.com Natalia Shpolyanskaya; natalie989g@gmail.com
Advisor: Prof. Shlomo Greenberg
SCE - Shamoon College of Engineering, Be’er-Sheva
Individuals with communication disorders following neurological events often require targeted rehabilitation to regain their speech and language abilities. This project developed a unique digital tool that offers personalized language exercises to meet that need, including tasks with semantic and phonological distractors. The app dynamically adapts the task difficulty to user performance, and it provides feedback on progress. Its development was guided by ongoing collaboration with certified speech-language pathologists from the ADI Negev Rehabilitation Village, ensuring that it meets real therapeutic needs and aligns with evidence-based clinical practice. The tool supports both patients and therapists in clinical or home settings, and is designed for simplicity and accessibility.
Keywords: communication disorders, mobile application, speech and language therapy
AI-Powered Intelligence Platform for Cybersecurity Threats
CS-B-12
Gal Ben Haim; galbenhaim6@gmail.com Lior Zaguri; lzaguri10@gmail.com
Advisors: Mr. Yossi Atias1, Prof. Shlomo Greenberg2 1CyberSecurity Entrepreneur
2SCE - Shamoon College of Engineering, Be`er-Sheva
As cyber threats grow in complexity, organizations require adaptive, efficient, and scalable intelligence solutions. This project designed an AI-powered threat-management platform that integrates with the OpenCTI (Open Cyber Threat Intelligence) platform, leveraging AI agents to assist in analyzing, enriching, and correlating threat data on demand. The system was designed with an optimized memory and processing architecture, ensuring efficient handling of large-scale threat intelligence while minimizing redundant operations. It utilizes LLM-based techniques to support pattern recognition and anomaly identification, assisting in detecting emerging threats. The platform strengthens cybersecurity resilience through automation, intelligent data enrichment, and on- demand insights, providing organizations with an adaptive and cost-effective decision-support tool against evolving cyber threats.
Keywords: AI, anomaly detection, cybersecurity, LLM, OpenCTI, threat intelligence
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