International Activities

 

Journal review activity:

  • BMC Medical Research Methodology
  • Applied Intelligence
  • Neural computing and applications
  • Artificial Intelligence Review
  • Heliyon
  • Physica A
  • Cancer Informatics
  • Education and Information Technologies
  • Briefings in Bioinformatics
  • Journal of Experimental & Theoretical Artificial Intelligence
  • Frontiers in Neurology
  • PNAS Nexus
  • Knowledge and Information Systems
  • Big Data
  • Symmetry
  • Computing
  • Cognitive Computation
  • Scientific Reports
  • Fluctuation and Noise Letters (FNL)
  • ...

Conference program or reviewer committee membership:

Students

Current Students

  • Aso Mafakheri (2023-now), Thesis topic: 'Software defect prediction'

  • Zhino Safahi (2024- now), Thesis topic: 'Brain Network Analysis'

  • Maryam Ghanbari (2023- now), Thesis topic: 'Network analysis methods to improve the diabetes prediction results' 

  • Vahid Absalan (2023- now), Thesis topic: 'Link prediction improvement using centrality measures'

  • Shima Saedi (2023- now), Thesis topic: 'Alzheimer prediction using demographical information of the patient'

  • Kewan Sulaimn (2023- now), Thesis topic: 'Multilayer Link Prediction with GNN'

  • Ehsan AzimiPour (2023- now), Thesis topic: 'Educational Dropout prediction using network analysis methods'

  • Abolfazl Dibaji (2023- now), Thesis topic: 'Graph-Based methods for hear disease prediction'

  • Samaneh Fathi (2022- now), Thesis topic: 'Graph based phishing detection improvement'

  • Zabihollah Burhani (2022- now), Thesis topic: 'Weighted link prediction improvement using community detection information'

  • Ali Salehi (2022- now), Thesis topic: 'A novel multi-factor PPI prediction'

  • Azita Zarei (2019- now), Thesis topic: 'Weak-tie finding with modified link prediction algorithms'

Former Students

  • Sanaz Jarrahi (2021- 2023), Thesis topic: 'A scalable multi-layer link prediction method' 

  • Hadis Azizi (2021- 2023), Thesis topic: 'Complex network analysis of Educational Data'

  • Elham Amiri (2020- 2023), Thesis topic: 'Novel approach to create effective Visibility Graphs'

  • Shaho Biniaz (2021-2022), Thesis topic: 'Improving link prediction performance with effective combination of local and global metrics'

  • Shervin Shojafard (2020-2022), Thesis topic: 'New mixed method for critical node identification'
  • Ensiyeh Kheirkhah (2020-2022), Thesis topic: 'miRNA-Gene identification in Alzheimer's using new recommender system mechanisems'

  • Mastooreh Armion (2019-2022), Thesis topic: 'Influential node identification using reverse link prediction algorithms'

  • Akam Zandi (2019-2022), Thesis topic: 'Accurate prediction of brain network changes during Alzheimer's disease'
  • Arman Hosseini (2017-2020), thesis title:'A new edge based anomaly detection based on link prediction'

  • Amir Sehati (2020-2021), Thesis topic: 'Graph-based feature selection using link prediction algorithms'

  • Maryam Koraee (2020-2021), Thesis topic: 'miRNA-gene interaction modeling in Rat brain after insulin injection'

  • Mansour Mohammad Awrahim (2019- 2020), Thesis topic: 'Toward a better evaluation metric for weighted link prediction'
  • Pooya Salavati (2016-2019), thesis title: 'Overcoming low efficiency of link prediction algorithms in spars networks'
    Azadeh BaniAmerian (2016- 2019), thesis title: 'A new link prediction based web prefetching method'.
  • Fatemeh Khooshegir (2016-2019), thesis title: 'Link Prediction in Educational Data Mining'.
  • Maryam Roshanfekr (2014-2016), thesis title: 'Weighted negative link prediction using fuzzy logic'
  • Mohammad Dadashi (2013-2016), thesis title 'Recommender systems performance improvement using link prediction algorithms'
  • Marziye Karimian Khozani (2013-2016), thesis title: ‘A multi-purpose method for community detection’.
  • Ali Ehsani (2014- 2016), thesis title" 'Improvement of link prediction results using edge betweenness centrality'
  • Mohammad Molavi (2013-2016), thesis title: 'Bat PSO based motif finding'

 

Research Students

  • Shahab Bakhtiari and Mehrdad Talebi (2017-2020), 'Computational predicting of new SNP-Cancer relations'
  • Samira Rafee (2017-...), 'Improvement of community detection results using special types of preprocessing'
  • Kajal Farahmandi and Soran Ghaderi (2018-...), 'Finding new Probiotics effects on diseases'
  • Marziye Karimian Khozani (2018-2019), 'Brain network structural property changes during Alzheimer's disease'