Najafirad, Peyman

Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review

Votto, A. M., Valecha, R., Najafirad, P., & Rao, H. R. (2021) · International Journal of Information Management Data Insights

AI and HR TechnologiesEmployer Branding and e-HRM

Cited by 322

Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models

Silva, S. H., Bethany, M., Votto, A. M., Scarff, I. H., Beebe, N., & Najafirad, P. (2022) · Forensic Science International: Synergy

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 66

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Islam, N. T., Khoury, J., Seong, A., Karkevandi, M. B., Parra, G. D. L. T., Bou-Harb, E., & Najafirad, P. (2024) · arXiv

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 8

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Nunez, A., Islam, N. T., Jha, S. K., & Najafirad, P. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 7