About
Education & Research
Ph.D. Studies - Texas A&M University (January 2023-Expected December 2027)
- GPA: 3.60/4.00
- Research: Systems security, access control, kernel-level instrumentation, AI-driven security analysis
- Coursework: Software Security, Software Reverse Engineering, Large Language Models, Deep Learning, Operating Systems, Reinforcement Learning
- Thesis: "Access Control Is All You Need"
- Advisor: Prof. Dr. Marcus Botacin
B.S. in Computer Engineering - Iran University of Science and Technology (September 2017-February 2022)
- GPA: 3.50/4.00
- Thesis: CodART: An Automated Refactoring System
- Advisor: Dr. Saeed Parsa
- Project: CodART on GitHub
Current Projects
- Real-time EDR System: Windows-based Endpoint Detection and Response with C/C++ kernel-mode drivers and proactive access-control generation
- EchoCrypt: LLM-assisted acoustic side-channel analysis framework for noisy keyboard recordings
- Interactive Malware Feature Engineering Lab: Web-based environment for Random Forest malware feature experimentation
Teaching Experience
Graduate Research and Teaching Assistant - Texas A&M University & Iran University of Science and Technology
Texas A&M University - Graduate Courses:
- CSCE 704 - Data Analytics Cybersecurity
- CSCE 611 - Graduate Operating Systems
Texas A&M University - Undergraduate Courses:
- CSCE 413 - Software Security
- CSCE 482/483 - Senior Capstone Design
- CSCE 411 - Design and Analysis of Algorithms
- CSCE 410 - Operating Systems
Iran University of Science and Technology
- CSCE 420 - Artificial Intelligence
- ECEN 248 - Digital Systems Design
- CSCE 434 - Compiler Design
Experience
Research Assistant - Botacin’s Lab, Texas A&M University
January 2024 - Present
- Architect real-time Windows Endpoint Detection and Response systems with C/C++ kernel-mode drivers for low-latency system call interception.
- Designed and benchmarked 7+ prevention algorithms, reducing false positive rates to less than 1.0% while maintaining robust prevention capabilities.
- Engineered a parallelized analysis pipeline for 60M+ kernel trace events using hierarchical structures and anomaly detection.
- Developed automated evaluation infrastructure across 6,000+ malware and benign samples for prevention metrics including TPR, FPR, and precision.
- Built proactive access-control generation techniques that prevent malware execution by enforcing blocking rules before runtime execution.
Back End Engineer - SynApps
January 2022 - December 2022
- Enhanced Django-based backend systems
- Designed RESTful API endpoints
- Collaborated with distributed teams for feature deployment
Certifications
- GitHub Foundations - GitHub
- Data Parallelism: How to Train Deep Learning Models on Multiple GPUs - NVIDIA
- Fundamentals of Accelerated Data Science - NVIDIA
- GRAD Aggies Professional Development Certificate - Texas A&M University
Skills
Programming Languages: Python, C, C++, Java
Databases: SQL, MongoDB, Redis, Amazon RDS
Systems & Security: Windows Kernel-Mode Driver Framework, PE files, ANTLR, Ghidra, YARA
Backend & Web: Django, HTML, CSS, FastAPI, Flask
Machine Learning: Graph analysis, Random Forest, PyTorch, PEFT, LoRA/QLoRA
DevOps & Tooling: Git, CI/CD, Docker, Linux