Fatemeh Zare

About

I am a Software Engineering graduate student with a strong interest in Artificial Intelligence, particularly in developing intelligent systems that can interact with and support humans in meaningful ways . My research background is mainly in Deep Learning, Computer Vision, and Image Analysis . Through my academic and professional experiences, I have worked on designing AI-driven solutions while considering both technical performance and real-world usability. I am especially interested in trustworthy and human-centered AI, where models are not only accurate but also reliable, understandable, and beneficial for users. I am currently seeking opportunities to contribute to research groups working on Computer Vision, multimodal learning, and intelligent systems, with applications in areas such as Healthcare, Education, and Human-AI interaction.

Education

M.Sc. in Software Engineering

2023-2025

Islamic Azad University- Estahban Branch, Estahban, Iran

GPA: 4.0/4.0

Courses:

Deep learning, Big Data Analysis, Advanced Database, Parallel Algorithms, Advanced Operating Systems

Highlights:

Ranked 3rd in Software Engineering (2025)

Thesis:

Detection of Face Anti-Spoofing Attacks using DeepLabV3

Advisors:

Dr. Mohammadjavad Hosseinpoor, Dr. Alireza Akhavanpour

B.Sc. in Software Engineering

2016-2020

Shahid Rajaee Teacher Training University, Tehran, Iran

GPA: 3.65/4.0

Courses:

Basics of Computational Intelligence, Basics of Computer Vision,Principles of Robotics, Signals & Systems, Basics of Speech & Language Processing

Highlights:

Ranked 5th among 50 students (2020) , Recipient of the Governmental full scholarship (2016-2020)

Thesis:

Setting up an inter-enterprise VoIP network

Advisors:

Dr. Maasoomeh Safkhani, Dr. Gholamreza Hasani

Skills

Languages & Frameworks

I learned programming languages such as Python, C#, JavaScript, and SQL through my academic studies, research, and software development work. I mainly used Python with PyTorch, TensorFlow, and Scikit-learn during my M.Sc. research to build and test deep learning models. I also used JavaScript and related tools in my frontend development projects.

Computer Vision & AI Models

My experience with computer vision and AI models comes from my research projects and thesis work. During my M.Sc. thesis, I worked with DeepLabV3, ResNet, and segmentation methods for face anti-spoofing. I also studied and tested models such as SiamMask, DeepSORT, and FAISS during my internship in face recognition and tracking systems.

Data Science & Tools

I developed my data analysis skills through AI research and experiments. I have used NumPy, Pandas, Matplotlib, and Jupyter for data processing, visualization, and model evaluation. I also used Google Colab and Kaggle for training and testing machine learning models.

Web Development

I developed my web development skills through professional frontend projects and software engineering practice. I have worked with Vue.js, Nuxt.js, HTML, CSS, and TailwindCSS to create responsive web interfaces. I have experience integrating RESTful APIs and AI services into web applications, including working with Large Language Model (LLM) APIs to build AI-powered features. I have also used WordPress for web-based projects.

Team Collaboration

I gained software development experience through academic projects and professional work as a frontend developer. I have worked with Git, GitHub, GitLab, and Bitbucket for code management and used tools such as Jira and Trello while working in Agile teams .

Human languages

Persian is my native language, and I use English for academic communication, research reading, and technical writing. I have improved my English skills through my graduate studies, research activities, and preparing scientific papers, and I have achieved an IELTS overall score of 7.5 (R: 8.5|L: 8|W: 6.5|S: 7).

Teaching & Communication Skills

My teaching experience helped me improve my communication and problem-solving skills . I have taught computer science subjects for several years, which improved my ability to explain technical concepts and guide students in practical projects.

For detailed information, Go to Experience page

Publications

Zare, F., & Hosseinpoor, M. (in press) . Detection of fake photo attacks using DeepLabv3 model . Proceeding of the 6th International Conference on Soft Computing
Zare, F., & Hosseinpoor, M. (2025) . Comparison between distributed databases: Cockroach DB, Amazon Aurora, and Google Spanner . Proceedings of the 25th International Conference on Information Technology
Hosseinpoor, M., & Zare, F. (2024) . A review of aspect-oriented evaluation methods in software engineering . Proceedings of the 19th National Conference of Applied Researches in Electrical, Computer and Medical Engineering Sciences
Hosseinpoor, M., & Zare, F. (2024) . An overview of task scheduling methods in cloud computing . Proceedings of the 19th National Conference of Applied Researches in Electrical, Computer and Medical Engineering Sciences
Naseri, H., & Zare, F. (2024) . Dynamic integrated process planning, scheduling, and due date allocation using ant colony optimization . Proceedings of the 18th National Conference of Applied Researches in Electrical, Computer and Medical Engineering Sciences
Hosseinpoor, M., Zare, F., Salim, Z., & Izadimazidi, A. (2023) . An overview of several facial recognition methods using deep learning . Proceedings of the 17th National Conference of Applied Researches in Electrical, Computer and Medical Engineering Sciences