2025/12/5
فارسی
Fatemeh Daneshfar

Fatemeh Daneshfar

Academic rank: Assistant Professor
ORCID:
Education: PhD.
H-Index:
Faculty: Faculty of Engineering
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E-mail: f.daneshfar [at] uok.ac.ir
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Education

  • BSc. in Computer Engineering , University of Tehran , IRAN (1999 - 2004)
    Thesis title:
  • MSc. in Computer Engineering-Artificial Intelligence , University of Kurdistan , IRAN (2007 - 2009)
    Thesis title:
  • PhD. in Computer Engineering-Artificial Intelligence , Razi University , IRAN (2015 - 2020)
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Courses

Bachelor Of Science
Master Of Science

Research activities

Journal Papers
Encoder-Decoder Nonnegative Matrix Factorization with β Divergence for Data Clustering Sayvan Soleymanbaigi, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Fatemeh Daneshfar (2026)
HyOCNN: Hybrid-optimized convolutional neural network for robust image classification Karmand Hossain, Fatemeh Daneshfar, Eqbal Hosseini, Mourad Ossalah (2026)
UMP-Net: Uncertainty-Aware Mixture of Prompts Network for Efficient Instruction Tuning Fatemeh Daneshfar, Abdulhadi Abas Abdullah, Moloud Abdar, Pietro Liò (2025)
Automatic colorectal cancer detection using machine learning and deep learning based on feature selection in histopathological images Hawkar Haji Said Junaid, Fatemeh Daneshfar, Mahmud Abdulla Mohammad (2025)
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges Kamal Berahmand, Fatemeh Daneshfar, Maryam Rahmanian, Maryam Haghighat, Mahdi Jalili (2025)
Multi‐Objective Manifold Representation for Opinion Mining Pshtiwan Rahman Raheem, Fatemeh Daneshfar, Hashem Parvin (2025)
An Improved Deep Text Clustering via Local Manifold of an Autoencoder Embedding (1403)
Elastic deep multi-view autoencoder with diversity embedding Fatemeh Daneshfar, Bahar Sar Saifee, Sayvan Soleymanbaigi, Mohammad Aeini (2025)
KurdSM: Transformer-Based Model for Kurdish Abstractive Text Summarization with an Annotated Corpus Pedram Yamini, Fatemeh Daneshfar, Abouzar Ghorbani (2024)
Image captioning by diffusion models: A survey Fatemeh Daneshfar, Ako Bartani, Pardis Lotfi (2024)
The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement Eqbal Hosseini, Abbas Al-Ghaili, Dler Hussein Kadir, Fatemeh Daneshfar, Saraswathy Shamini Gunasekaran, Muhammet Deveci (2024)
Machine Learning Techniques in Enhanced Oil Recovery Screening Using Semisupervised Label Propagation Pouya Vaziri, Sanyar Ahmadi, Fatemeh Daneshfar, Behnam Sedaee, Hamzeh Alimohammadi, Mohammad Reza Rasaei (2024)
Enhancing Low-Resource Sentiment Analysis: A Transfer Learning Approach Fatemeh Daneshfar Fatemeh Daneshfar (2024)
Elastic Deep Autoencoder for Text Embedding Clustering by an Improved Graph Regularization Fatemeh Daneshfar, Sayvan Soleymanbaigi, Ali Nafisi, Pedram Yamini (2024)
A survey on semi-supervised graph clustering Fatemeh Daneshfar, Sayvan Soleymanbaigi, Pedram Yamini, Mohammad Sadra Amini (2024)
Autoencoders and their applications in machine learning: a survey Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, Yuefeng Li, Yue Xu (2024)
Enhanced text classification through an improved discrete laying chicken algorithm Fatemeh Daneshfar, Mohammad Javad Aghajani (2024)
An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse Fatemeh Daneshfar, mohammad behdad jamshidi (2023)
A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading mohammad jamshidi, sobhan roshani, Jakub Talla, ali lalbakhsh, Zdenˇek Peroutka, Fatemeh Daneshfar, zahra malek, Fariborz Parandin, saeed roshani (2022)
Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19 mohammad jamshidi, sobhan roshani, Fatemeh Daneshfar, ali lalbakhsh, saeed roshani, pedram lalbakhsh, farima hadjilooei, Alireza Jamshidi, Zdenˇek Peroutka, Jakub Talla, zahra malek, Fariborz Parandin (2022)
Speech emotion recognition using hybrid spectral-prosodic features of speech signal/glottal waveform, metaheuristic-based dimensionality reduction, and Gaussian elliptical basis function network classifier Fatemeh Daneshfar, jahanshah kabudian, abbas nikabadi (2020)
Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm Fatemeh Daneshfar, jahanshah kabudian (2020)
A new desing of intelligent traffic signal control Fatemeh Daneshfar, javad Ravanjamjah (2013)
Intelligent load-frequency control in a deregulated environment: continuous-valued input, extended classifier system approach Fatemeh Daneshfar (2013)
Load-Frequency Control in a Deregulated Environment Based on Reinforcement Learning Fatemeh Daneshfar (2013)
Load-Frequency Control in a Deregulated Environment Based on Bisection Search Fatemeh Daneshfar, Eqbal Hosseini (2012)
Multiobjective design of load frequency control using genetic algorithms Fatemeh Daneshfar, Hassan Bevrani (2012)
A New Intelligent Agent-Based AGC Design With Real-Time Application Hassan Bevrani, Fatemeh Daneshfar, Takashi Hiyama (2012)
Load-Frequency Control: a GA based Bayesian Networks Multi-agent System Fatemeh Daneshfar, Hassan Bevrani, MANSORI Fathollah (2011)
Load–frequency control: a GA-based multi-agent reinforcement learning Fatemeh Daneshfar, Hassan Bevrani (2010)
Conference Papers
Construction of an Annotated Corpus for Kurdish Abstractive Text Summarization Fatemeh Daneshfar, Pedram Yamini, Abouzar Ghorbani (2023)
A Pattern Recognition Framework for Signal Processing in Metaverse Fatemeh Daneshfar, mohammad behdad jamshidi (2022)
A Hybrid Echo State Network for Hypercomplex Pattern Recognition, Classification, and Big Data Analysis mohammad behdad jamshidi, Fatemeh Daneshfar (2022)
LyBERT: Multi-class classification and recommendations of lyrics using Bidirectional Encoder Representations from Transformers (BERT) Revathy V.R, Anitha S. Pillai, Fatemeh Daneshfar (2022)
Speech Emotion Recognition Using a New Hybrid Quaternion-Based Echo State Network-Bilinear Filter Fatemeh Daneshfar, jahanshah kabudian (2021)
Speech Emotion Recognition Using a Hierarchical Adaptive Weighted MultiLayer Sparse Auto-Encoder Extreme Learning Machine with New Weighting and Spectral/SpectroTemporal Gabor Filter Bank Features Fatemeh Daneshfar, jahanshah kabudian (2021)
Load-Frequency Control: Multiobjective Optimization Based on Genetic Algorithms Fatemeh Daneshfar (2013)
A New Intelligent LFC Design in a Deregulated Environment Fatemeh Daneshfar, Hassan Bevrani (2012)
An Optimization Method for LFC Design in Restructured Power Systems Fatemeh Daneshfar, Hassan Bevrani (2012)
Bayesian Networks Design of Load-Frequency Control based on GA Fatemeh Daneshfar, Hassan Bevrani, MANSORI Fathollah (2011)
Multi-agent Reinforcement Learning Design of Load-Frequency Control with Frequency Bias Estimation Fatemeh Daneshfar, MANSORI Fathollah, Hassan Bevrani (2011)
Reinforcement learning based multi-agent LFC design concerning the integration of wind farms Hassan Bevrani, Fatemeh Daneshfar, Puria Daneshmand, Takashi Hiyama (2010)
Intelligent Automatic Generation Control: Multi-agent Bayesian Networks Approach Hassan Bevrani, Fatemeh Daneshfar, Puria Daneshmand (2010)
Adaptive and Cooperative Multi-Agent Fuzzy System Architecture Fatemeh Daneshfar, Fardin Akhlaghian Tab, MANSORI Fathollah (2009)
Implementation of a Text-to-Speech System for Kurdish Language Fatemeh Daneshfar, Vafa Barkhoda, Sayed Bahram ZzahirAzami (2009)
Adaptive Fuzzy Urban Traffic Flow Control Using a Cooperative Multi-Agent System based on Two Stage Fuzzy Clustering Fatemeh Daneshfar, javad Ravanjamjah, MANSORI Fathollah, Hassan Bevrani, Sayed Bahram ZzahirAzami (2009)
Speech
WorkShop
Books
Theses
Explainable Multi-Class Classification of Student Performance through Ensemble Machine Learning and Graph-Based Feature Engineering Halalah Ali Ahmad, Fatemeh Daneshfar, Sadegh Sulaimany (2025)
Text-to-image synthesis using generative adversarial networks based on attention mechanism (1403)
Designing and Collecting a Corpus and Syntactic Parser for Central Kurdish Language Umed Sideeq Ahmed, Hadi Veisi, Fatemeh Daneshfar, Sherwan Hussein (2024)
Semi-Supervised Dust-to-Clean Image Translation Using Regression Minimization and Consistency Regularization Mohammed Shamsaddin Qader, Fatemeh Daneshfar, Ako Bartani, Marwan Aziz Mohammed (2024)
Using Deep Learning Transformers for Semantic Similarity in a Sorani Kurdish Question Answering System Abrar Amin Saeed, Fatemeh Daneshfar (2024)
Improving Liver Disease Detection Using Oversampling and Network Analysis Havar Bakhtyar Shali, Sadegh Sulaimany, Fatemeh Daneshfar (2024)
Multi-objective Manifold Representation for Opinion Mining Pshtiwan Rahman Raheem, Fatemeh Daneshfar, Hashem Parvin (2024)
Self-representation factorization to learn generalizable representation (1403)
Automatic Colorectal Cancer Detection Using Machine Learning and Deep Learning Based on Feature Selection Hawkar Haji Said Junaid, Fatemeh Daneshfar, Mahmud Abdulla (2024)
Hybrid Deep Learning Approach: CNN-ViT Fusion for Breast Cancer Diagnosis in Ultrasound Images Hiwa Hassan Mustafa, Fatemeh Daneshfar, Saman Muhammad Omer, Mohammed Hussein Ahmed (2024)
An attention-based multimodal deep learning model for image captioning (1403)
A trusted-based multi-objective approach to improve the performance of recommender systems. (1402)
Kurdish Text Classification by an Optimization algorithm (1402)
Automatic generation control using multi-agent systems (1388)
Projects

Research interests

  • Generative AI
  • Deep Learning
  • Machine Learning
  • Multi-modal Learning
  • Natural Language Processing
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Executive activities

  • Dean of Computer Department (1401 - 1403)
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