Behzad Jannati

Behzad Jannati

M.Sc. Student in Computer Architecture

AI & Hardware Security Researcher

Driven M.Sc. student at the University of Tehran, specializing in the efficient deployment of advanced AI models on resource-constrained systems. Strong research focus on compressing Vision-Language Models (VLMs) for edge deployment and applying Large Language Models (LLMs) to hardware functional verification and security.

Research & Experience

Dec 2024 - Present

Researcher & Research Assistant

Cyber-Physical Systems (CPS/DRTS) Lab, University of Tehran

  • Conducting research on model compression techniques (pruning, quantization, distillation) to deploy large-scale multimodal models on embedded and edge devices
  • Designing hardware-aware AI architectures to optimize performance under resource constraints
Dec 2024 - Present

LLM & Hardware Security Researcher

University of Tehran (Academic Project)

  • Deployed LLaMA 3.1 8B model using Google Colab and Tesla T4 GPUs for automated Verilog analysis
  • Investigating hardware security vulnerabilities and Hardware Trojans using generative AI methodologies
Oct 2025 - Present

Graduate Teaching Assistant

School of ECE, University of Tehran

  • Functional Verification of HDL Models (Dr. S. Mohammadi) - Introduced LLM applications in verification, designed assignments on fine-tuning LLMs for assertion generation
  • Digital Electronics (Dr. Sh. Vahdat) - Conducted workshops on HSPICE fundamentals and gate-level simulations

Education

Master of Science

Computer Architecture

University of Tehran

Sep 2024 - Sep 2026

GPA: 4.0/4.0 (19.5/20)

Thesis: Compressing VLMs via Layer Analysis and Pruning for Multi-Modal Reasoning on Edge

Supervisor: Prof. Mehdi Kargahi

Bachelor of Science

Computer Engineering

Payame Noor University

Sep 2018 - Jun 2023

GPA: 3.69/4.0 (17.65/20)

Honors & Awards

  • Ranked 19th in the National University Entrance Exam for M.Sc. in IT Engineering (Sep 2024)
  • Ranked 129th in the National University Entrance Exam for M.Sc. in Computer Engineering (Sep 2024)

Technical Skills

AI & Machine Learning

Large Language Models (LLM) Vision-Language Models (VLM) Deep Neural Networks RAG Prompt Engineering Model Compression

Programming & Hardware

Python PyTorch Verilog LangChain HSPICE Embedded Systems Raspberry Pi FPGA

Tools & Frameworks

Hugging Face Google Colab Git/GitHub LaTeX

Certifications

  • Retrieval Augmented Generation (RAG) with LangChain - DataCamp (Feb 2026)
  • Introduction to Python - DataCamp (Feb 2026)
  • Foundation: Introduction to LangChain (Python) - LangChain

Get In Touch

I'm always open to discussing research collaborations, AI projects, or opportunities in hardware security.