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فارسی
Mehdi Hosseinzadeh Aghdam

Mehdi Hosseinzadeh Aghdam

Academic rank: Associate Professor
ORCID: 0000-0002-3922-9991
Education: PhD.
ScopusId: 57194843379
HIndex: 19/00
Faculty: Faculty of Engineering
Address: Department of Computer Engineering, University of Bonab, Bonab, Iran
Phone: 041-37741636
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Introduction

I am Mehdi Hosseinzadeh Aghdam, an Associate Professor in the Department of Computer Engineering at the University of Bonab. My research focuses on Machine Learning, Deep Learning, and Recommendation Systems. With a strong background in both academia and industry, I am passionate about bridging the gap between theoretical advancements and real-world applications. I hold a Ph.D. in Artificial Intelligence and have experience working as a Machine Learning Scientist at the Tehran Stock Exchange Technology Management Co.. Throughout my career, I have mentored students and collaborated on cutting-edge AI projects, aiming to develop intelligent systems that enhance decision-making and automation. If you are interested in collaborations, research opportunities, or academic discussions, feel free to reach out.

Education

  • PhD. in Computer Engineering Artificial Intelligence , Iran University of Science and Technology , Iran (2010 - 2016)
    Thesis title:
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Courses

Bachelor Of Science
Master Of Science

Research activities

Journal Papers
Context-aware recommendation using hierarchical attention and positional encoding based on multiple item attributes (CARA) Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami (2025)
Group attention for collaborative filtering with sequential feedback and context aware attributes Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami (2025)
HAN: Hierarchical Attention Network for Learning Latent Context-Aware User Preferences With Attribute Awareness Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami (2025)
The explainable structure of deep neural network for recommendation systems Mohammad Daryaie Zanjani b, Mehdi Hosseinzadeh Aghdam (2024)
DIARec: Dynamic Intention-Aware Recommendation with Attention-Based Context-Aware Item Attributes Modeling Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami (2024)
DCARS: Deep context-aware recommendation system based on session latent context Javad Sohafi-Bonab, Mehdi Hosseinzadeh Aghdam, Kambiz Majidzadeh (2023)
Automatic Extractive and Generic Document Summarization Based on NMF Mehdi Hosseinzadeh Aghdam (2023)
A novel constrained non-negative matrix factorization method based on users and items pairwise relationship for recommender systems Mehdi Hosseinzadeh Aghdam (2022)
A novel regularized asymmetric non-negative matrix factorization for text clustering Mehdi Hosseinzadeh Aghdam, Mohammad Daryaie Zanjani b (2021)
A Selection Metric for semi-supervised learning based on neighborhood construction Mona Emadi, Jafar Tanha, Mohammad Ebrahim Shiri, Mehdi Hosseinzadeh Aghdam (2021)
A novel ant colony optimization algorithm for PAPR reduction of OFDM signals Mehdi Hosseinzadeh Aghdam, Abbas Ali Sharifi (2021)
A novel hybrid genetic algorithm to reduce the peak-to-average power ratio of OFDM signals Abbas Ali Sharifi, Mehdi Hosseinzadeh Aghdam (2019)
PAPR reduction in OFDM systems: An effi cient PTS approach based on particle swarm optimization Mehdi Hosseinzadeh Aghdam, Abbas Ali Sharifi (2019)
Context-aware recommender systems using hierarchical hidden Markov model Mehdi Hosseinzadeh Aghdam (2019)
Collaborative filtering using non-negative matrix factorisation Mehdi Hosseinzadeh Aghdam, Morteza Analoui, Peyman Kabiri (2017)
Modelling trust networks using resistive circuits for trust-aware recommender systems Mehdi Hosseinzadeh Aghdam, Morteza Analoui, Peyman Kabiri (2017)
Feature Selection Using Particle Swarm Optimization in Text Categorization Mehdi Hosseinzadeh Aghdam, ُSetareh Heidari (2015)
A Novel Non-Negative Matrix Factorization Method for Recommender Systems Mehdi Hosseinzadeh Aghdam, Morteza Analoui, Peyman Kabiri (2015)
An improved ant colony optimization algorithm and its application to text-independent speaker verification system Mehdi Hosseinzadeh Aghdam (2012)
Text-independent speaker verification using ant colony optimization-based selected features Shahla Nemati, Reza Boostani, Mohammad Davarpanah Jazi, Mehdi Hosseinzadeh Aghdam, Ehsan Basiri (2011)
A novel ACO–GA hybrid algorithm for feature selection in protein function prediction Shahla Nemati, Ehsan Basiri, Nasser Ghasem-Aghaee, Mehdi Hosseinzadeh Aghdam (2009)
Text feature selection using ant colony optimization Mehdi Hosseinzadeh Aghdam, Nasser Ghasem-Aghaee, Ehsan Basiri (2009)
Conference Papers
Optimization of cuckoo algorithm (combination of cuckoo algorithm with genetic algorithm) for feature selection in text classification Marziyeh Pourkhaje Homadi, Mehdi Hosseinzadeh Aghdam (2024)
PAPR Reduction in OFDM Systems: Performance Evaluation of Zadoff-Chu Matrix Transform Mehdi Hosseinzadeh Aghdam, Abbas Ali Sharifi (2021)
A Hybrid Approach to Sentiment Analysis and its Application to Persian Rahim Dehkharghani, Mehdi Hosseinzadeh Aghdam (2019)
A Comparative study of Genetic and Particle Swarm Optimization Algorithms for Minimizing the High PAPR in OFDM Systems Abbas Ali Sharifi, Mehdi Hosseinzadeh Aghdam (2018)
Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models Mehdi Hosseinzadeh Aghdam, Negar Hariri, Bamshad Mobasher, Robin Burke (2015)
Analiysis of self-similarity in recommender systems Mehdi Hosseinzadeh Aghdam, Morteza Analoui, Peyman Kabiri (2014)
Application of nonnegative matrix factorization in recommender systems Mehdi Hosseinzadeh Aghdam, Morteza Analoui, Peyman Kabiri (2012)
Application of ant colony optimization for feature selection in text categorization Mehdi Hosseinzadeh Aghdam, Nasser Ghasem-Aghaee, Ehsan Basiri (2008)
Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins Ehsan Basiri, Nasser Ghasem-Aghaee, Mehdi Hosseinzadeh Aghdam (2008)
Face Recognition System Using Ant Colony Optimization-Based Selected Features Hamidreza Rashidy Kanan, Karim Faez, Mehdi Hosseinzadeh Aghdam (2007)

Research interests

  • Machine Learning
  • Deep Learning
  • Recommender Systems
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