People

Our lab's participants range from professors with dozens of years of experience to high school students. This diversity in background and experience enables us to address real-world problems using fresh perspectives.

Faculty

PhD. Students

Other Students

  • Staford Titus
    Master's student
    Research Interests Malware analysis & reverse engineering, Automobile security, IOT security
    Projects Uptane
    Publications Cyber Defense Magazine and Cybrary
  • Jonathan Singer
    Undergraduate student
    Research Interests Systems security, network security, POSIX kernels
    Projects Lind
  • Justin Koe
    Undergraduate Student
    Research Interests Systems security, operating systems
    Projects Lind
  • Tristan Brigham
    Undergraduate Student
    Research Interests Operating system security; machine learning/AI applications to systems security and exploit detection
    Projects Lind
  • Devansh Patel
    Master's student
    Research Interests Systems security, Reverse engineering, Digital privacy
    Projects Lind
  • Yuanrui Chen
    Undergraduate student
    Research Interests Network security, software security, and software development
    Projects in-toto
  • Pinhan Zhao
    Undergraduate
    Research Interests Cybersecurity, privacy, software development, computer networks
    Publications Netdev 0x15
  • Neil Naveen
    High School Student
    Research Interests Security and algorithms
    Projects gittuf
  • Yongjae Chung
    Master's student
    Research Interests Systems security, machine learning
    Projects gittuf
  • Ziyi Xu
    Master's student
    Research Interests Software supply chain security, dependency risk analysis, and intelligent systems
  • Aman N S
    Master's student
    Research Interests Cybersecurity, Software Development, Algorithms
  • Sanchit Sahay
    Master's student   - website
    Research Interests Operating Systems, Systems Software
    Projects in-toto and Lind
  • Aaditya Rengarajan
    Master's student   - website
    Research Interests Cybersecurity, Network Security, Cyber Threat Intelligence, Dark Web Monitoring, Privacy-Preserving Machine Learning, AI in Cybersecurity, Offensive Security, Malware Classification, Cloud Storage Security, Incident Response, Dynamic Policy Adjustment
  • Naman Badlani
    Master's student
    Research Interests Cybersecurity, Vulnerability Assessment, Penetration Testing, Kernel Security, Privilege Escalation, LLM Security, Deepfake Audio Classification, Machine Learning, Computer Networks
    Publications ICCES 2024

Visiting Scholars

Alumni