Sanaz Nakhodchi

Papers

Total Citations

H-Index

About

Sanaz Nakhodchi is a researcher at the intersection of artificial intelligence and cybersecurity, with a primary focus on leveraging deep learning to address critical security challenges. Her most notable work, "A Bibliometric Analysis on the Application of Deep Learning in Cybersecurity" (2020), provides a comprehensive mapping of how deep learning techniques—such as neural networks and reinforcement learning—are being deployed to detect threats, automate defenses, and analyze vulnerabilities. This study, which has garnered 3 citations, serves as a foundational reference for scholars exploring the synergy between AI and cyber defense, highlighting emerging trends and gaps in the field. Nakhodchi’s contribution lies in synthesizing a rapidly evolving domain, offering a structured overview that helps researchers and practitioners navigate the complex landscape of deep learning applications in cybersecurity. Her work underscores the growing importance of AI-driven solutions in safeguarding digital infrastructures, making her a valuable voice in this interdisciplinary area. For students and researchers, Nakhodchi’s bibliometric analysis is a key starting point for understanding how machine learning is reshaping cybersecurity research and practice.