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Kourosh Parand

Professor

Update: 2024-11-07

Kourosh Parand

Mathematical Sciences / Computer Science

P.H.D dissertations

  1. Linking behavioral modeling to components of brain imaging in perceptual decision making
    Amin Ghaderi Kangavari 2023
  2. Mixed spectral and machine learning methods for solving differential equations
    Aida Pakniyat 2023
  3. PDE-based image denoising via meshless methods
    Yasaman Lotfi 2022
  4. Meshfree algorithms in computational models emphasizing neuroscience and cognitive neuroscience
    Mohammad Hemami 2021
  5. Using spectral methods and artificial intelligence algorithms for solving engineering, health and neuroscience models
    Zeinab Hajimohammadi 2021
  6. Numerical simulation of the dynamics of neural networks and the neurons synchronization control: application in brain activities of epilepsy seizures
    Mohammad Mahdi Moayeri 2021

  7. Mehran Nikarya 2019

  8. Mehdi Delkhosh 2018

  9. Jamal Amani rad 2015

Master Theses

  1. Solving singular Integral equations using numerical methods based on machine learning algorithms
    BAHAREH MASSAHI 2024
  2. Numerical solution of wave propagation equation using spectral support vector regression
    Rezvan Gharagozloo 2024
  3. Comparison between reductionist effect of tACS and HD-tACS on false memory formation
    Parisa Khoorahe 2024
  4. Meta-learning in spiking neural networks
    Mohammadreza Yadegari 2024
  5. Accelerating ALS with Parallel Computing Techniques in the Recommender System
    Mohammadbagher Ghorbani 2024
  6. Comparison of monolingual and bilingual children in understanding new metaphors
    Seyedeh Fatemeh Hosseini 2023
  7. Developing a hybrid recommendation system based on matrix factorization and transformers
    MAYTHAM MOHAMED ALI KADHIM ALKHAZRAJI 2023
  8. Trend prediction of stock markets by ensembling of covolutional neural networks
    ZAHRAA HASAN ALI ALI 2023
  9. Solving delay differential equations using numerical methods based on machine learning algorithms
    Tayebeh Taheri 2023
  10. Prediction of Short-Term Financial Markets` Trend Using Neural Networks
    Mahdy Shayesteh 2023
  11. Introduction to orthogonal kernel functions in principal component analysis method along with their applications
    Zahra Behrouzeh 2022
  12. Developing numerical methods based on machine learning algorithms to solve fractional differential equations application in the drug delivery
    Pegah Ahadian 2022
  13. An improving and developing of LSTM-based neural networks to forecast next steps of price trend
    Nader Nemati 2022
  14. An improvement to the Neural Semantic Personalized Ranking approach for Item Cold-Start Problem in Recommender Systems
    FARAZ NAEINIAN 2022
  15. using neural networks to solve partial differential equations in applied science
    Kimia Mohammadi mohammadi 2021
  16. Application of deep learning to solve partial differential equations used in biological mathematics and neuroscience
    Maryam Babaei 2021
  17. Solving Volterra-Fredholm Integral Equations Using a Hybrid Method Based on Spectral and Machine learning Algorithms
    Milad Hasani 2021
  18. Numerical methods based on machine learning techniques for solving differential equations in finite and semi infinite domains
    Alireza Rajabi 2021
  19. Application of LS-SVM in solving numerical volterra integral equation
    Reza Sahleh 2021
  20. Extending machine learning algorithms for solving Fredholm integral equations
    Alireza Afzal Aghaei 2020
  21. Numerical methods based on machine learning techniques for solving partial differential equations
    Ghazal sadat Ghaemi javid 2020
  22. GPU parallel implementations of Jacobi algorithm
    Mehran Ghaffari 2019
  23. Using Neural Network Models based on Orthogonal polynomials to solve physics and cognitive science problems
    Bahare Arab 2019
  24. Study of Models in Engineering, Medical and Cognitive Sciences using Neural Network in the Finite and Semi Infinite domains
    Mohammad Omidi 2019
  25. Using meshless methods for solving differential equations and inverse problems
    Ashraf Hajiolov Zarnagh 2019
  26. Applications of Chebyshev fractional basis functions and generalized lagrange to solve mathematical models
    Mahshid Solhjoo 2019
  27. Generalized pseudo-spectral method with its application
    Maryam Saberi kalateh zaman 2019
  28. Using spectral methods based on Gegenbauer functions in numerical solution for mathematical models
    Ghazaleh SamimiGhidari 2019
  29. Numerical Solution of Optimal Control Problems via Spectral Methods
    Reza Taheri 2019
  30. Numerical Solution of Engineering Problems and Computational Finance Using Spectral Methods
    Nastaran Bajalan 2019
  31. Numerical Solution of Integral Equations via Spectral Method
    Hafez Yari 2019
  32. Numerical simulations based on meshless algorithms for complex mathematical models in various fields of engineering and neuroscience
    Yasaman Lotfi 2018

  33. Arian Bahadoran Baghbadorani 2018

  34. Fatemeh Mirahmadian 2018

  35. Arman Bahramnezhad Goje Beygli 2018

  36. Zahra Kalantari Darvari 2018

  37. Sobhan Latifi 2018

  38. Monir.mina Fotouhi far 2017

  39. Mohammad Mahdi Moayeri 2017

  40. Fardin Salehi 2017

  41. Pooria Mazaheri 2017

  42. Hossein Yousefi 2016

  43. Amin Ghaderi Kangavari 2016

  44. Mohammad Hemami 2016

  45. Sahereh Kolivand Salouki 2016

  46. Soleiman Hashemi Shahraki 2015

  47. Maryam Haghani 2015

  48. Elaheh Baharloei 2015

  49. Elahe Raisi Sarbizhan 2015

  50. 2014

  51. Mojtaba Khodabandeh Amiri 2014

  52. Omran Hajizadeh 2014

  53. Abdolhamid Jahangiri 2014

  54. Mehran Nikarya 2013

  55. Seyed Mohsen Kazemi 2013

  56. Saeed Zafar Vahedian 2013

  57. Mahsa Arabpoor 2013

  58. Sayyed Ali Kaviani 2013

  59. Fataneh Bayat 2012

  60. Seyedeh Leila Hosseini 2012

  61. Sarveh Mam Ghaderi 2011

  62. Fatemeh Bahari Fard 2011

  63. Jamal Amanirad 2011

  64. Zahra Delafkar 2011

  65. 2010

  66. Seyed Ali Pir Khedri 2009

  67. Amir Taghavi 2009

  68. 2008