Changiz Eslahchi

Professor

Update: 2025-12-04

Changiz Eslahchi

Mathematical Sciences / Computer Science

Master Theses

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

  27. Sayyed Hadi Mahmoodi 2019

  28. Seyed Mohammad Razavi 2018

  29. Ruhallah Jamali 2018

  30. Fatemeh Abbasi 2017

  31. Mehrdad Jahanbani Fard 2017

  32. Mohammad Taheri 2016

  33. Narges Reza 2016

  34. Farshid Javadi 2016

  35. Masoomeh Sadeghi Damavandi 2016

  36. Vahid Ashrafian 2015

  37. Morteza Milani 2015

  38. Elnaz Mirzaei Mehrabad 2014

  39. Omid Sharifi 2014

  40. Amaneh Kochakzadeh 2014

  41. Nesa Khalili 2014

  42. Hamid Tarakomi 2014

  43. Bahareh Alipanahi Ramandi 2014

  44. Elaheh Shaei Shahraei 2014

  45. Mazaher Maghsoodloo 2014

  46. Hassan Taheri 2012

  47. 2012

  48. 2012

  49. Shahabeddin Haghi 2012

  50. Soheyla Shabani Mashkool 2011

  51. Hadis Mokhtvay 2011

  52. 2010

  53. REZA HASSANZADEH 2010

  54. Najmeh Firoozi 2009

  55. Alireza Sheykhatar 2008

  56. Tooraj Afghahi 2007