Changiz Eslahchi

Professor

Update: 2025-05-07

Changiz Eslahchi

Mathematical Sciences / Computer Science

Master Theses

  1. Identification of blood biomarkers for diagnosing Alzheimer's disease utilizing Single-cell RNA-seq data and Artificila Neural Network algorithms
    Hediyeh Talebi 2025
  2. Predicting drug combination synergy score based on finding an optimal subset of drugs using deep learning
    Mohammad Javad Salehi Bidar 2025
  3. Sequence Alignment Using Language Models
    Arash Azhar 2025
  4. Analysis of data security methods in federated learning in organizational applications
    Mostafa Nazari 2024
  5. Predicting Drug Combination Concentrations using Matrix Factorization in complex number number
    Mohammad Abdollahi 2024
  6. A novel method for football player selection and team formation leveraging deep learning and graph theory
    Mahdi Nouraie 2023
  7. Predicting drug synergy and discovering new drug combinations based on graph autoencoder and convolutional neural network
    Faisal Ghazi Abdulsahib Al-Farhan 2023
  8. A method of fusion that is based on graphs to anticipate interactions Multilevel functionality
    Nooruldeen Abbas Hameed Al-Noori 2023
  9. Graph coloring, Chromatic number, Connectivity number of Random Geometry Graph Corresponding to Wireless Ad-Hoc Networks
    Ayad Sami Kadhim Alemarah 2023
  10. Target controllability of complex networks in order to minimize the mediators by dynamic programming approach
    Seyedeh fatemeh Khezri 2023
  11. Improving genome scaffolding with a deep learning approach using Hi-C data heatmaps
    Sayeh Sobhani 2023
  12. Predicting drug synergy by finding optimal subset of cell lines based on machine learning approach
    Soodabeh Zakeri 2023
  13. Graph Neural Network Analysis of Medical Images
    Parsa Esfahanian 2023
  14. Metagenomic binning using assembly graph
    Amin Darabi 2022
  15. A statistical method to detect cancer biomarkers from significant set of gene
    Maryam Maghsoudi 2021
  16. A method to predict cancer driver genes in protein families
    Zahra Ghorbani jirandeh 2021
  17. predicting drug interactions with graph convolutional neural networks
    Razieh Masumshah 2021
  18. Improvement of mRNA subcellular localization prediction using deep neural networks
    Negin Sadat Babaeiha 2021
  19. Drug-Drug Interaction Prediction by Recommender System Approach
    Bahareh Levian 2020
  20. Complex-based Feature Selection in Gene Expression Analysis
    Behnam Reihani Matanagh 2020
  21. Deep learning network designing for DNA sequence detection based on sequencer device signals
    Adel Abedi 2019
  22. Prediction of drug-drug interactions using graph-based ensemble learning
    Elham Nabian 2019
  23. Classifying cancer molecular subtypes by machine learning approach
    Narjes Rohani 2019
  24. A Survey Comparison of methods in drug-target interaction prediction;
    Mihammad Amin Khodamoradi 2019

  25. Sayyed Hadi Mahmoodi 2019
  26. predicting drug-drug interaction using recommender systems
    Maryam Mohamadi 2019

  27. Sayed Mohammad Razavi 2018

  28. Ruhallah Jamali 2018

  29. Fatemeh Abbasi 2017

  30. Mehrdad Jahanbani Fard 2017

  31. Narges Reza 2016

  32. Mohammad Taheri 2016

  33. Farshid Javadi 2016

  34. Masoomeh Sadeghi Damavandi 2016

  35. Vahid Ashrafian 2015

  36. Morteza Milani 2015

  37. Elnaz Mirzaei Mehrabad 2014

  38. Omid Sharifi 2014

  39. Amaneh Kochakzadeh 2014

  40. Bahareh Alipanahi Ramandi 2014

  41. Nesa Khalili 2014

  42. Hamid Tarakomi 2014

  43. Mazaher Maghsoodloo 2014

  44. Elaheh Shaei Shahraei 2014

  45. Hassan Taheri 2012

  46. 2012

  47. 2012

  48. Shahabeddin Haghi 2012

  49. Soheyla Shabani Mashkool 2011

  50. Hadis Mokhtvay 2011

  51. 2010

  52. REZA HASSANZADEH 2010

  53. Najmeh Firoozi 2009

  54. Alireza Sheykhatar 2008

  55. Tooraj Afghahi 2007