cv

Basics

Name Alireza Salehy
Label Master student
Email alireza99salehy@gmail.com
Url https://alirezasalehy.github.io/
Summary Master's student in Artificial Intelligence at the University of Tehran, focusing on vision-language models, few-shot anomaly detection, and robust model adaptation.

Work

  • 2021.01 - 2023.09
    Firmware Engineer
    NOTRIX (Remote)
    Developed firmware for smart home devices and their drivers for main controller integration.
    • IoT Firmware Development
    • Device Driver Integration

Education

  • 2022.09 - 2025.02

    Tehran, Iran

    MSc
    University of Tehran
    Artificial Intelligence
    • Interpretable and Trustworthy AI (20/20)
    • Deep Generative Models (19.8/20)
    • Design and Analysis of DNNs (19.85/20)
    • Deep Learning with Vision and Language Applications (19.83/20)
    • Statistical Inference (16.3/20)
    • Data Analytics and Visualization (17.93/20)
  • 2017.09 - 2022.06

    Tehran, Iran

    BSc
    Amirkabir University of Technology
    Computer Engineering
    • Probability and Statistics (20/20)
    • Applied Linear Algebra (17.2/20)
    • Data Structure and Algorithms (17.25/20)
    • Assembly and Microprocessors (20/20)
    • Operating Systems (17.2/20)
    • Computer Networks (18/20)
    • Internet of Things (18.25/20)

Awards

Publications

Skills

Machine Learning
Vision-Language Models
Contrastive Learning
Zero-shot Learning
Few-shot Learning
Anomaly Detection
Embedded Systems
STM32
ESP32
FreeRTOS
Embedded C/C++
IoT

Languages

English
Fluent
Persian
Native

Interests

AI Research
Vision-Language Models
Robustness
Fairness in AI
Embedded Systems
IoT
Low-power Design
Firmware Development

References

Dr. Mohammad Sabokrou
Associate Professor, Machine Learning Lab, Okinawa Institute of Science and Technology – mohammad.sabokrou@oist.jp
Dr. Reshad Hosseini
Associate Professor, University of Tehran – reshad.hosseini@ut.ac.ir

Projects

  • 2024.08 - 2024.10
    Crane – Zero-Shot Anomaly Detection with CLIP
    Developed a state-of-the-art anomaly detection method using prompt learning and spatial attention refinement on CLIP.
    • Prompt Learning
    • Attention Weighting
    • Local-Global Embedding Fusion
  • 2021.01 - 2021.06
    WAVRecorder C++ Library
    Developed a C++ library for efficient voice recording using embedded ADC and SD card.
    • Low-Level Programming
    • Embedded Audio Processing