Sadegh is a researcher in Computer Science and Sustainable Infrastructure, specialising in cybersecurity and software security. His expertise spans AI-driven fuzzing, cryptography, automated vulnerability detection, and secure software development. He leverages the intersection of cybersecurity and machine learning to design innovative solutions that proactively identify and mitigate software vulnerabilities before they can be exploited. In addition to his core focus, he has contributed publications in the field of sustainable infrastructure.

With a multidisciplinary background in data analytics, cybersecurity operations, IT management, telecommunications, and electrical engineering, Sadegh brings a strong data-driven perspective to both security and smart infrastructure research. His work explores the convergence of artificial intelligence with emerging smart and green technologies—where advanced security and intelligent systems address real-world challenges.

He operates at the intersection of research, innovation, and practical implementation, aiming to develop secure, resilient, and intelligent systems across software, hardware, and emerging domains.