🛡️ Research Focus
Sharmila researches explainable, AI-driven cybersecurity methods for detecting evasive and obfuscated malware. Her work combines memory forensics, adversarial resilience, and PDF malware analysis to build trusted systems capable of identifying hidden threats in modern cyber environments.
Research Details
Investigations in AI-driven Cybersecurity methods for Evasive and Obfuscated Malware Detection
Memory Forensic Analysis
Extracting runtime features from memory to detect stealthy malware behaviour.
Adversarial Resilience
Designing models that resist generative adversarial attacks on document-based malware.
PDF Malware Detection
Building unified feature extraction for malicious document detection and classification.
Explainable Cybersecurity
Creating interpretable AI that highlights why a sample is flagged as malicious.
Key Research Keywords
Educational Background
Technical Skills
Programming Languages
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Achievements & Recognition
Teaching Assistantship
Contact Information
"Life is a unique battle for everyone. You have to learn to fight your own battle by yourself for yourself, with discipline and dedication - the support will naturally follow on the path."