Aug 2021 – Jul 2026 | GPA: 4.0
Advisor: Dr. Kyu Hyung Lee
Focus: Cybersecurity, Digital Forensics, Intrusion Detection
B.E. in Computer Engineering – Pulchowk Campus, Tribhuvan University
Nov 2014 – Sep 2018 | Percentage: 79.16%
🔬 Research Experience
Graduate Research Assistant University of Georgia (Aug 2021 – Present)
Designed and implemented automated threat detection and forensic analysis systems that correlate
endpoint telemetry and security artifacts to validate alerts and improve detection accuracy
across projects such as CLEAR and FACT.
Analyzed attacker techniques such as persistence, privilege escalation, and defense evasion,
and used those findings to design and evaluate detection methods.
Led end-to-end research lifecycle: ideation, design, implementation, evaluation, and writing of multiple research projects.
Provided research mentorship to undergraduate and graduate students across multiple projects.
Collaborated with experts from multiple universities in diverse, cross-cultural environments to conduct impactful research.
Worked as a summer camp instructor where I taught middle-schoolers and high-schoolers various courses like Artificial Intelligence, Machine Learning, Python programming, Javascript and game design.
🧪 Selected Projects
CLEAR: Contextual Evidence-Based Alert Resolution for ML-Based HIDS PhD Research Project | Submitted to NDSS’27
Built a staged verification pipeline for ML-based IDS alerts using live host metadata and artifacts, resolving 97%+ of flagged entities across 18 attack scenarios with a mean verification time of 1.8s per entity.
FACT: Forensic-Aware Artifact Collection System PhD Research Project | Submitted to ACSAC’26
Developed an automated forensic-aware artifact collection system to support IDS alert validation, incident investigation, and threat verification, reducing false positives to near zero across 11 attack scenarios.
FA-SEAL: Forensically Analyzable Symmetric Encryption for Audit Logs PhD Research Project | ACSAC’24 Source code
Designed and implemented a privacy-preserving cryptographic system that enables forensic analysis on encrypted audit logs with only 0.68% of log data disclosure, processing 30GB of high-volume daily logs in ~90 minutes.
SynthDB: Synthesizing Database via Program Analysis for Security Testing of Web Applications Research Project | NDSS’23
Evaluated real-world PHP applications with SynthDB, a database synthesizer for dynamic analysis of PHP web applications, discovering 33 previously unknown vulnerabilities across 5 real-world applications.
MAPSEC: Multi-Agentic Program for Security and Cyberdefense Research Prototype
Led development of an AI-assisted security operations prototype focused on automating threat analysis and improving security investigation workflows through collaborative agents.
