Ahmed's research focuses on the intersection of machine learning and cybersecurity, emphasizing AI safety, ethics, and resilience. He specializes in developing adaptive AI systems for malware detection, managing vulnerabilities in Large Language Models (LLMs), and mitigating biases in complex datasets. His work advances next-generation antivirus systems using deep learning and addresses emerging threats like crypto-mining malware.