CV

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Contact Information

Name Alireza Dehghanzadeh
Professional Title Graduate Student
Email dehghanzadeh98@gmail.com

Professional Summary

An Iranian curious student, widely known for his passion for learning and exploring new technologies. With a strong background in computer science and a keen interest in artificial intelligence, I am dedicated to expanding my knowledge and skills in the field. I am an active participant in online communities and enjoys sharing my insights and discoveries with others.

Experience

  • 2024/06 - 2026/04

    Karaj, Alborz, Iran

    IT Support & Systems Administrator (Library Services)
    University of Tehran, Central Library of College of Agriculture and Natural Resources
    Civilian National Service (Sarbazi Amrieh)
    • Managed and maintained library IT systems, workstations, and networked devices
    • Administered and updated institutional websites
    • Provided technical support and troubleshooting for students and staff
    • Created instructional materials (videos, slides, documentation, print guides)
    • Conducted user orientation and introductory IT sessions
  • 2021/10 - 2023/09

    Karaj, Alborz, Iran

    Researcher Assistant
    University of Tehran
    Conducted research in the field of Machine Learning to refine reconstructed Electrical Capacitance Tomography images.
    • Developed and evaluated Machine Learning models for image refinement and noise reduction.
    • Processed and analyzed ECT datasets using Python (Scikit-learn, Pandas, NumPy).
    • Compared multiple Machine Learning algorithms to assess their advantages, limitations, and compatibility with ECT reconstruction methods.
    • Studied tomography reconstruction techniques to enhance ECT imaging performance.
    • Collaborated with academic supervisors and research team members on ML-based reconstruction pipeline development.
  • 2019/03 - 2021/04

    Tabriz, East Azerbaijan, Iran

    Research Assistant – Automation & Computer Vision
    Tabriz University, Precision Agriculture group
    Assisted in the design and development of smart agricultural machinery systems, focusing on automation, embedded systems, and computer vision applications.

    Supervised by Dr. Hossein Navid . Advised by Dr. Hadi Karimi .
    • Designed and implemented a computer vision–based pipe cutting system using Raspberry Pi to detect precise clipping points on PVC ducts by identifying flat surface regions for accurate cuts.
    • Developed a lightweight, noise-adaptive vision system optimized for real-time performance and integration with high-speed industrial machinery.
    • Built a wireless remote control system for a silage block cutting machine to improve operator safety and precision.
    • Implemented full machine control via TCP/UDP local network communication using an Android application.
    • Integrated control logic with pneumatic and hydraulic valve systems for precise actuation.
    • Contributed to reducing operator injury risks and improving cutting accuracy through automation.
    • Technologies & Tools: Python, Linux, Raspberry Pi, Arduino, C Programming, Electrical Circuit Design, Image Processing, TCP/UDP Networking

Education

  • 2020/10 - 2023/09

    Tehran, Iran

    Master's degree
    University of Tehran
    Biosystems Engineering
  • 2016/09 - 2020/09

    Tehran, Iran

    Bachelor's degree
    Tabriz University
    Biosystems Engineering
    • Relevant Coursework: Machanical Engineering Design, Maintenance Engineering, Computer Aided Design, Agricultural Machinery Design
    • Project: Design a mechanical scissor jack (Course: Mechanical Engineering Design)
    • Project: Design a basil harvesting machine (Course: Harvesting Machinary Design)

Skills

Python Programming (Master): Pandas, NumPy, Scikit-learn
Machine Learning (Intermediate): Scikit-learn, Data Analysis
Linux (Intermediate): Unix, Command Line, Shell Scripting
Raspberry Pi (Intermediate): Linux, Bach, PiP, Electrical Circuit Design
Android Development (Junior): Kivy, Python
Web Development (Junior): HTML, CSS, JavaScript
Arduino (Junior): C programming, Electrical Circuit Design

Languages

Persian : Native speaker
English : Fluent
Azerbaijani : Limited

Interests

Automation using Artificial Intelligence: Python, Machine Learning, Computer Vision
Computer Science: Programming, Algorithms, Data Structures
Meditation: Mindfulness, Relaxation, Stress Reduction
Nature: Camping, Environmental Conservation
Web Application Security: Network, Programming

Certificates

Projects

  • PVC Duct Cutting Machine Computer Vision System

    This project used computer vision technology to identify clipping points within PVC ducts, focusing on detecting their flat areas for accurate cuts. Adaptable to ambient noise, the system ensured consistent performance, while its lightweight design enabled seamless integration with the machine’s high-speed operations. Utilizing a Raspberry Pi, this compact yet powerful computing platform was used to drive the entire system.

  • Remote Controller for a Silage Block Cutting Machine

    Due to operator injuries, while cutting stacked up silage blocks, a remote controlling system was developed and configured so that the operators be able to control the machine using wireless technology. The device was able to fully control the machine. The developed device controlled the system by manipulating the pneumatic and hydraulic valves of the machine using a TCP/UDP local network with an android application. Which in fact, the machine performs with more precision and offers product and safety measures. Android application developed by Eng. Ali Khalili Based on React-native.

  • Basil Harvester

    Design a machine to harvest basils as a successor to Scissor Jack since we got the best resualts and distinguished among other groups in related class. There are a large number of small agriculture farms around mid-to-big cities in Iran which they plant different basils alongside eachother in several section in their farms. This project aimed this businesses to help them increasing outcome and decreasing wastes. This machine was design by intelligence functionality in mind and using previous works and experiences.

  • Scissor Jack

    Apply Mechanical Engineering Design knowledge to Design a scissor jack as a course project. Design was done using Solidworks and the analysis which was additional, done through Ansys Mechanical.