2024 : 11 : 21
Fateme Daneshfar

Fateme Daneshfar

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId: 35078447100
HIndex:
Faculty: Faculty of Engineering
Address: Department of Computer Engineering, Faculty of Engineering, University of Kurdistan
Phone:

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)
    Thesis title:
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Courses

Research activities

Journal Papers
Image captioning by diffusion models: A survey Fateme 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, Fateme Daneshfar, Saraswathy Shamini Gunasekaran, Muhammet Deveci (2024)
Machine Learning Techniques in Enhanced Oil Recovery Screening Using Semisupervised Label Propagation Pouya Vaziri, Sanyar Ahmadi, Fateme Daneshfar, Behnam Sedaee, Hamzeh Alimohammadi, Mohammad Reza Rasaei (2024)
Elastic Deep Autoencoder for Text Embedding Clustering by an Improved Graph Regularization Fateme Daneshfar, Sayvan Soleymanbaigi, Ali Nafisi, Pedram Yamini (2024)
A survey on semi-supervised graph clustering Fateme Daneshfar, Sayvan Soleymanbaigi, Pedram Yamini, Mohammad Sadra Amini (2024)
Autoencoders and their applications in machine learning: a survey Kamal Berahmand, Fateme Daneshfar, Elaheh Sadat Salehi, Yuefeng Li, Yue Xu (2024)
A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading mohammad jamshidi, sobhan roshani, Jakub Talla, ali lalbakhsh, Zdenˇek Peroutka, Fateme 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, Fateme Daneshfar, ali lalbakhsh, saeed roshani, pedram lalbakhsh, farima hadjilooei, Alireza Jamshidi, Zdenˇek Peroutka, Jakub Talla, zahra malek, Fariborz Parandin (2022)
A new desing of intelligent traffic signal control Fateme Daneshfar, javad Ravanjamjah (2013)
A New Intelligent Agent-Based AGC Design With Real-Time Application Hassan Bevrani, Fateme Daneshfar, Takashi Hiyama (2012)
Load-Frequency Control: a GA based Bayesian Networks Multi-agent System Fateme Daneshfar, Hassan Bevrani, MANSORI Fathollah (2011)
Conference Papers
Construction of an Annotated Corpus for Kurdish Abstractive Text Summarization Fateme Daneshfar, Pedram Yamini, Abouzar Ghorbani (2023)
A Pattern Recognition Framework for Signal Processing in Metaverse Fateme Daneshfar, mohammad behdad jamshidi (2022)
A New Intelligent LFC Design in a Deregulated Environment Fateme Daneshfar, Hassan Bevrani (2012)
Bayesian Networks Design of Load-Frequency Control based on GA Fateme Daneshfar, Hassan Bevrani, MANSORI Fathollah (2011)
Reinforcement learning based multi-agent LFC design concerning the integration of wind farms Hassan Bevrani, Fateme Daneshfar, Puria Daneshmand, Takashi Hiyama (2010)
Intelligent Automatic Generation Control: Multi-agent Bayesian Networks Approach Hassan Bevrani, Fateme Daneshfar, Puria Daneshmand (2010)
Adaptive and Cooperative Multi-Agent Fuzzy System Architecture Fateme Daneshfar, Fardin Akhlaghian Tab, MANSORI Fathollah (2009)
Implementation of a Text-to-Speech System for Kurdish Language Fateme 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 Fateme Daneshfar, javad Ravanjamjah, MANSORI Fathollah, Hassan Bevrani, Sayed Bahram ZzahirAzami (2009)
Speech
WorkShop
Books
Theses
Designing and Collecting a Corpus and Syntactic Parser for Central Kurdish Language Umed Sideeq Ahmed, Hadi Veisi, Fateme Daneshfar, Sherwan Hussein (2024)
Semi-Supervised Dust-to-Clean Image Translation Using Regression Minimization and Consistency Regularization Mohammed Shamsaddin Qader, Fateme Daneshfar, Ako Bartani, Marwan Aziz Mohammed (2024)
Improving Liver Disease Detection Using Oversampling and Network Analysis Havar Bakhtyar Shali, Sadegh Sulaimany, Fateme Daneshfar (2024)
Multi-objective Manifold Representation for Opinion Mining Pshtiwan Rahman Raheem, Fateme Daneshfar, Hashem Parvin (2024)
Hybrid Deep Learning Approach: CNN-ViT Fusion for Breast Cancer Diagnosis in Ultrasound Images Hiwa Hassan Mustafa, Fateme Daneshfar, Saman Muhammad Omer, Mohammed Hussein Ahmed (2024)
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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