Academic footprint, active vulnerability discoveries, and system architectural security.
Dead Weight: Analyzing Code Bloat and Its Security Implications in WebAssembly Binaries
Empirical analysis across 8,000+ real-world WebAssembly binaries. Combined staged static reachability analysis with dynamic coverage measurements to demonstrate that 70-85% of functions remain unexecuted, leaving substantial surfaces for indirect exploitation primitives.
An AI Approach to Support Student Mental Health
Developed backend infrastructure and recommendation APIs for an automated mindfulness platform tailored for student healthcare interventions.
Life Logging: A Practicable Approach
Proposed frameworks for automated personal data collection using wearable sensors. Analyzed data recording, storage, and networking strategies combined with machine learning to manage life data while addressing inherent privacy and security implications.
Embedded Capture the Flag (eCTF) — Team Co-Captain
Directed architectural defense and attack operations for Binghamton University's team, securing a 13th-place international ranking. Designed micro-controller firmware defenses against physical and logical exploitation.
Artifact Evaluation Committee Member
Appointed to systematically review and test artifact reproducibility for papers accepted to the premier security symposium.
System and Method for Performing User Activity Using an Electroencephalogram (EEG)
Co-inventor of an algorithmic method utilizing Recurrent Neural Networks (RNN) to process raw EEG signals, mapping cognitive activity directly to standalone device execution commands (Patent No: 540976).