Ali Ayati

Ali Ayati

Ph.D. Student in Computer Engineering

Ali Ayati - Computer Engineering PhD Student

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About Me

  • PhD student in Computer Engineering at Texas A&M University
  • Research focus: cybersecurity, system access control, and AI applications in security
  • Advisor: Prof. Dr. Marcus Botacin
  • Thesis: “Access Control Is All You Need”

Education & Research

PhD Studies - Texas A&M University (2023-Present)

  • GPA: 3.60/4.00
  • Research: System security, access control, LLMs in cybersecurity
  • Coursework: Software Security, Software Reverse Engineering, Large Language Models, Deep Learning, Operating Systems, Reinforcement Learning

Current Projects

  • Real-time EDR System: Windows-based Endpoint Detection and Response with kernel-mode drivers
  • Acoustic Side-Channel Attacks: LLM-assisted correction for keyboard attacks

Publications

  • Seyyed Ali Ayati, Jin Hyun Park, Yichen Cai, Marcus Botacin (2025). “Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms’ Typo Correction.” USENIX WOOT ‘25 → Paper Repo

Teaching Experience

Graduate Research and Teaching Assistant - Texas A&M University

Graduate Courses:

  • CSCE 611 - Graduate Operating Systems
  • CSCE 413 - Software Security

Undergraduate Courses:

  • CSCE 482/483 - Senior Capstone Design
  • CSCE 410 - Operating Systems
  • CSCE 313 - Introduction to Computer Systems

Experience

Research Assistant - Botacin’s Lab, Texas A&M University

January 2024 - Present

  • Advanced research in system security and access control
  • Graph algorithms for system behavior analysis and threat detection
  • Kernel-level monitoring solutions for real-time threat detection

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: Training Deep Learning Models on Multiple GPUs - NVIDIA
  • Fundamentals of Accelerated Data Science - NVIDIA
  • GRAD Aggies Professional Development Certificate - Texas A&M University

Skills

Research: Large Language Models, Windows Kernel Development, Cybersecurity, System Access Control

Technical: Python (Django, Flask, FastAPI, PyTorch, Keras, Pandas, Numpy), Windows Kernel Programming, Machine Learning, Deep Learning, Reinforcement Learning, Graph Algorithms, Parsers and Compilers, CI/CD Pipelines

Academic: Software Security, Reverse Engineering, Operating Systems, Algorithm Analysis

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