Mission Statement: At Cyber Guard Research Lab, our mission is to safeguard emerging platforms, web frameworks and other widely-used technologies by uncovering software vulnerabilities, performing measurement analysis and developing robust defense solutions. Through the utilization of cutting-edge tools powered by Program Analysis, Machine Learning, Natural Language Processing, and LLM, we diligently identify potential threats and propose innovative strategies to fortify the cyber-physical ecosystem. Our commitment lies in ensuring the safety and security of these platforms, ultimately contributing to a more resilient digital landscape.

Team

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PhD Student

• Nahin Kumar Dey, UTA (Spring, 2024 - Present)
• Tanusree Das Tithy , UTA (Summer, 2024 - Present)
• Fahmid Al Rifat , UTA (Fall, 2025 - Present)
• Promit Basak , UTA (Fall, 2025 - Present)
• Md Mahedi Hasan Rigan , UTA (Fall, 2025 - Present)

Masters Student

• Lamia Hasan Rodoshi, UTA (Fall, 2023 - May, 2026) [Graduated]
• Published poster on Identifying Copyright Code in LLM Training in IEEE S&P 2024

Undergraduate Student

• Natalia Miranda, UTA (Summer 2025- present)
• UR2PhD
• Marzuque Mashrur Fariz, UTA (Summer 2025- present)
• UR2PhD
• Makayla S Hall, UH (Fall 2024)
• David Temitope Awe, UTA (Fall, 2024- Summer 2025)
• Abigia Abate, UTA (Fall, 2024- present)
• Ayman Rafid Azahar, UTA (Summer, 2024- Summer 2025)
• Got CoE REU
• UR2PhD
• Bardan Dhakal, UTA (Summer, 2024 - present)
• Awarded Departmental REU Support
• Got CoE REU
• Natalia Mesta Valenzuela, UTEP (Spring, 2024 )
• Muhammad Haziq Mirza Zuhaimi, UTA (Spring, 2024)
• Published poster on Combining Symbolic Engine with LLM to Detect Vulnerable Code in IEEE S&P 2024
• Muhammad Zaharudin, UTA (Fall, 2023 - Spring, 2024)
• Published poster on Combining Symbolic Engine with LLM to Detect Vulnerable Code in IEEE S&P 2024
• Awarded Departmental REU Support

High-School Student

• Amlan Abhidarshi, (Summer 2024 - present)