🎓 Ph.D. Candidate in Information Science at the University of Illinois Urbana-Champaign (UIUC), GPA 4.0.
💻 Researcher & Engineer working at the intersection of security, privacy, and usability in healthcare technologies.
🔒 Focused on making IoMT devices, mobile health apps, and large-scale systems both secure and accessible.

• Security & Privacy: Applied security for IoMT, mobile apps, and distributed systems.
• Usability & Accessibility: Improving healthcare device interoperability for older adults and individuals with disabilities.
• Data & NLP: Large-scale text mining, multilingual NLP pipelines, compliance analysis (HIPAA, GDPR).
• Systems: Trusted Execution Environments (Intel SGX), zero-trust architectures, and cloud-scale security.

• Languages: Python, C/C++, Java, JavaScript, R, SQL
• Frameworks & Tools: Docker, Git, REST APIs, Firebase, Tableau, Power BI, HTML/CSS
• Security & Systems: Intel SGX, Zero-Trust, HashiCorp Vault, Reverse Engineering, Wireshark, Pen Testing
• Data & ML: NLP, Text Mining, Usability Testing, scikit-learn, HuggingFace
• Research & Collaboration: Qualitative methods (interviews, surveys), teaching & mentorship, cross-functional teamwork

• IoMT Security & Privacy Framework → Automated system evaluating compliance of IoMT devices (CPAP, heart rate monitors, fitness trackers); flagged critical issues to improve security and usability.
• Multilingual Privacy Policy Analysis → NLP pipeline (Python, Docker) processing 2,400+ policies (5M+ tokens) across 3 languages; boosted compliance detection accuracy by 35% and saved 500+ hours of manual review.
• Progressive Web App Fingerprinting → Identified novel fingerprinting vulnerabilities across Top 10,000 websites and implemented countermeasures to reduce tracking vectors.
• AI Health Chatbot Review Analysis → Analyzed 10,000+ user reviews with NLP to detect privacy/security concerns and guide safer chatbot design.

Published in leading venues: SOUPS, UbiComp, NDSS, HCII.

• SOUPS 2023 – Evaluating smartphone security behavior.
• NDSS USEC 2023 – Malicious link posting on social networks.
• UbiComp/ISWC Workshop 2023 – Privacy in mental health apps.
• HCII 2025 – Multilingual privacy policy analysis & mobile health app security.

• 🔗 Website
• 💼 LinkedIn
• 🐙 GitHub
• ✉️ mhassa42@illinois.edu

⭐️ Always excited to collaborate on security, privacy, and usability research or scalable software engineering projects.