About Me

I hold a Master’s degree in Artificial Intelligence and a Bachelor’s degree in Computer Science with a concentration in Software Engineering, both from Islamic Azad University, Qods Branch. My academic background, highlighted by a near-perfect GPA of 19.45/20 (approximately 4.0), reflects my dedication to AI and its subfields. My research interests span Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Large Language Models (LLMs). My Master’s thesis, "IGDHRS: An Improved Graph-based Deep Hybrid Recommender System," along with published contributions to five conference papers and one journal article, showcases my commitment to advancing AI technologies. I have also engaged in various practical projects that further solidify my expertise. Currently, I am seeking to pursue a Ph.D. to deepen my research and contribute to cutting-edge developments in ML, DL, NLP, and LLMs.

Education

  • B.Sc. in Computer Science - Software Engineering
    Sep 2016 — Jul 2020
    • GPA: GPA: 3.15 (15.78/20)
    • Last-two-year GPA: 3.32 (16.23/20)
    • Major GPA: 3.51 (16.54/20)
    • Islamic Azad University Qods Branch, Tehran, Iran
    • Final Project Title: Designing and developing an online store with PHP and SQL programming languages
    • Final Project grade: 20/20
    • Supervisor: Dr. Robabeh Ghafori
  • M.Sc. in Artificial Intelligence
    Sep 2022 — Jun 2024
    • GPA: approximately 4.00 (19.45/20)(Ranked 1st among all graduate students)
    • Islamic Azad University Qods Branch, Tehran, Iran
    • Thesis Title: An Improved Deep Hybrid Graph-Based Recommender System
    • Supervisor: Dr. Seyed Mahdi Jamei
    • Notable Courses Passed:
      • 1. Evolutionary Algorithms: A+ (20/20)
      • 2. Swarm Intelligence Algorithms: A+ (20/20)
      • 3. Advanced Artificial Intelligence: A+ (20/20)
      • 4. Advanced Data Mining: A+ (20/20)
      • 5. Speech and Speaker Recognition: A+ (19.75/20)
      • 6. Statistical Learning Theory: A+ (19.5/20)
      • 7. Machine Learning: A+ (18/20)
      • 8. Neural Networks: A+ (18/20)

Publications

  • BBC News sentiment analysis and clustering using R and Python
    2023 June 21
    • Authors: Milad Payandeh, Abbas Najafizadeh
    • Conference: 6th International Conference on Modern Research in Electrical, Computer, Mechanical and Mechatronics Engineering in Iran and Islamic World
    • (In Persian)(Poster Presentation)
    • Available Online
    • Source Code on github
  • A new approach to designing and developing a collaborative-interactive movie recommendation system based on the user's rating
    2023 August 17
    • Authors: Milad Payandeh, Abbas Najafizadeh
    • Conference: The 20th National Conference on Computer Science and Engineering and Information Technology
    • (In Persian)(Oral Presentation)
    • Available Online
    • Source Code on github
  • A new approach to body fat percentage prediction using linear regression
    2023 September 27
    • Authors: Milad Payandeh, Abbas Najafizadeh
    • Conference: The 19th National Conference of Electrical, Computer and Mechanical Engineering
    • (In Persian)(Poster Presentation)
    • Available Online
    • Source Code on github
  • A new decision support system for heart failure prediction using a logistic regression algorithm
    2023 December 13
    • Authors: Milad Payandeh, Abbas Najafizadeh
    • Conference: The 7th International Conference on Global Studies in Computer, Electrical, and Mechanical Engineering
    • (In Persian)(Oral Presentation)
    • Available Online
    • Source Code on github
  • Optimizing Recommendations through Enhanced User-Item Interactions with Large Language Models (LLMs) Utilizing Edge Information
    2025 April 20
    • Authors: Milad Payandeh, Abbas Najafizadeh
    • Conference: The 10th international Conference on Knowledge and Technology of Mechanical, Electrical Engineering and Computer Of Iran
    • (In Persian)(Poster Presentation)
    • Available Online
    • Source Code on github
  • IGDHRS: An Improved Graph-based Deep Hybrid Recommender System
    2024 June 30
    • Authors: Milad Payandeh, Seyed Mahdi Jameii
    • Journal: Multimedia Tools and Applications
    • Under Review

Exprience

Projects

1. Iris and Cancer Classification and Pattern Recognition based on LVQ 2. Time Series Prediction Using GMDH Neural Network 3. Data Prediction and Text/video Classification using LSTM 4. Classification using Graph Convolutional Network (GCN) 5. ChatGPT Based Virtual Assistant using Python 6. Generate Music using Genetic Algorithm 7. CNN, VGG, and ResNet using Tensorflow 8. Neural Gas and Growing Neural Gas 9. TSP using Ant Colony Algorithm

Skills

Python
100%
R
90%
Matlab
90%
SQL
80%
C++
70%
JavaScript
70%
PHP
70%

Languages test scores

TOEFL will be taken on October 12, 2025
GRE will be taken on December 12, 2025

Research Interests

Machine Learning Natural language processing (NLP) Large language model (LLM) Recommendation System Optimization Algorithms Data Mining