Omid Mirzaei
I’m an Anti-Abuse Engineering Manager at Apple.
My journey in cybersecurity began during my doctoral studies at the Computer Security (COSEC) Lab at University Carlos III of Madrid, where I focused on Android application triage, malware detection, and malware characterization. My research later expanded into artificial intelligence and the application of machine learning to security problems.
After completing my PhD, I joined the Systems Security Lab (SecLab) at Northeastern University as a postdoctoral research associate and part-time lecturer. During that time, I led a funded research project focused on detecting code reuse in advanced Windows malware used in targeted attacks. I also taught undergraduate and graduate courses covering cybersecurity and machine learning applications in security.
My areas of expertise include computer security, mobile security, applied machine learning for security, and the development of secure and trustworthy AI-driven systems. My work has been recognized through multiple research and academic awards.
I enjoy writing blog posts about cybersecurity, threat research, and emerging developments in machine learning and AI.
News
| May 18, 2026 | I will join Apple as an anti-abuse engineering manager. |
| May 7, 2026 | The GBHackers has reported on my blog about phone number reuse in scam emails. |
| May 7, 2026 | The Cyber Press has reported on my blog about phone number reuse in scam emails. |
| Apr 16, 2026 | The SC Media has reported on our blog about abusing n8n Webhooks to deliver malware via emails. |
| Apr 16, 2026 | The GBHackers has reported on our blog about abusing n8n Webhooks to deliver malware via emails. |
| Apr 16, 2026 | The Cyber Security News has reported on our blog about abusing n8n Webhooks to deliver malware via emails. |
| News Archive |
Selected Publications
| DIMVA'21 | SCRUTINIZER: Detecting Code Reuse in Malware via Decompilation and Machine Learning. [PDF] |
| ASIACCS'19 | AndrEnsemble: Leveraging API Ensembles to Characterize Android Malware Families. [PDF] |
| FGCS | AndrODet: An Adaptive Android Obfuscation Detector. [PDF] |
| ASIACCS'17 | TriFlow: Triaging Android Applications using Speculative Information Flows. [PDF] |
| NODY | A New Image Encryption Method: Parallel Sub-Image Encryption with Hyper Chaos. [PDF] |
| All Publications |