Scholar
Behzad Ousat
Google Scholar ID: QHF_oV4AAAAJ
Ph.D. Candidate at Florida International University
Citations & Impact
Citations
122
H-index
4
i10-index
1
Publications
8
Co-authors
4
list available
Publications
Resume (English only)
Research Experience
- [{'Position': 'Graduate Research Assistant', 'Institution': 'Florida International University', 'Time': '2022 - Present', 'Projects': 'Developed LLM-powered Browser Agents to bypass complex web challenges such as reCaptcha; implemented ML pipelines to classify users from browser interaction data; built a text Captcha solving framework; analyzed ecosystem-wide Vulnerability Trends; detected zero-day anomalies within encrypted network flows; led research projects in collaboration with faculty, students, and external teams, including Microsoft Security.'}, {'Position': 'Platform Technical Team Lead', 'Institution': 'Tapsi', 'Time': '2017 - 2021', 'Projects': 'Ensured 99% uptime for 60 microservices; designed and built Node.js and Python gRPC and Socket message passing libraries; accelerated rapid adoption of new technologies; reduced deployment errors and established automated CI/CD pipelines.'}, {'Position': 'DevOps Consultant', 'Institution': 'Image Analysis Group', 'Time': 'August 2020 - December 2020', 'Projects': 'Set up and maintained runtime environment and deployment pipeline; implemented data storage infrastructure including PostgreSQL and Kafka.'}, {'Position': 'Machine Learning Engineer Intern', 'Institution': 'Fraunhofer IDMT', 'Time': 'September 2019 - December 2019', 'Projects': 'Developed a Deep Learning video analysis pipeline; enabled Multimodal Modeling of temporal visual data; implemented automated Face Detection pipeline.'}, {'Position': 'Co-Founder and Full Stack Developer', 'Institution': 'Lambede', 'Time': 'August 2016 - December 2017', 'Projects': 'Developed backend to provide REST APIs; designed and developed mobile applications.'}]
Background
- Ph.D. candidate at Florida International University, working as a Research Assistant at the Systems Security Lab (SecLab) under the supervision of Dr. Amin Kharraz. His research focuses on web and browser security, with an emphasis on applying data-driven and machine learning techniques to detect emerging threats at scale, analyzing LLM-based browser agents and automated interactions in the age of the agentic web. He also brings over five years of industry experience as a Site Reliability Engineer and Software Engineer, providing a strong foundation in building secure and scalable systems.
Miscellany
- No specific information
