Nuestro equipo


Dr. Ali is about to obtain my Ph.D. from Amirkabir University of Technology (Tehran Polytechnic), with a dissertation titled “Designing a neural network structure based on nonlinear dynamics for classification of brain signals”. He has been teaching several courses including Electrical circuits lab, digital design lab, Signals and systems and etc. during past few years.

He was also teaching assistant in “Neural networks” at Tehran Polytechnic. As a TA, teacher and lab instructor, he helped in designing many new and creative computer assignments to help students get a deep insight from that specific course.

His research interests include Data Analytics, Statistics, Pattern Recognition and Artificial Intelligence (AI). He is an early career researcher with a strong desire to conduct new research in different fields.

Areas of expertise

  • Data Analytics
  • Statistics
  • Pattern Recognition
  • Artificial Intelligence

Research Interests

  • Data Analytics
  • Statistics
  • Pattern Recognition
  • Artificial Intelligence


  • Nouri, A., & Seyyedsalehi, S. A. (2023). Eigen value based loss function for training attractors in iterated autoencoders. Neural Networks.
  • Nouri, A., & Tabanfar, Z. (2023). Detection of ADHD Disorder in Children using Layer-wise Relevance Propagation and Convolutional Neural Network: an EEG Analysis. Frontiers in Biomedical Technologies.
  • Tabanfar, Z., Ghassemi, F., Bahramian, A., Nouri, A., Shad, E. G., & Jafari, S. (2022). Fractional-order systems in biological applications: Estimating causal relations in a system with inner connectivity using fractional moments. In Fractional-Order Design (pp. 275-299). Academic Press.
  • Nouri, A., & Azizi, K. (2020). Introducing a convolutional neural network and visualization of its filters for classification of EEG signal for SSVEP task. Frontiers in Biomedical Technologies.
  • Bahramian, A., Nouri, A., Towhidkhah, F., Azarnoush, H., & Jafari, S. (2020). Introducing a nonlinear coupling for central pattern generator: Improvement on robustness by expanding basin of attraction and performance by decreasing the transient time. Journal of Vibration and Control, 26(7-8), 377-386.
  • Bahramianl, A., Nouril, A., Towhidkhah, F., & Jafari, S. (2019, November). Introducing neural-network based model and pretraining method to design central pattem generator (CPG). In 2019 26th National and 4th International Iranian Conference on Biomedical Engineering (ICBME) (pp. 15-20). IEEE.
  • Bahramian, A., Nouri, A., Baghdadi, G., Gharibzadeh, S., Towhidkhah, F., & Jafari, S. (2019). Introducing a chaotic map with a wide range of long-term memory as a model of patch-clamped ion channels current time series. Chaos, Solitons & Fractals, 126, 361-368.
  • Nouri, A., Amirfattahi, R., & Moussavi, H. (2016, May). Mutual information based detection of thermal profile in hand joints of rheumatoid arthritis patients using Non-parametric windows. In 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) (pp. 1-4). IEEE.

Awards and Honors

  • Offered scholarship for participating in RIKEN-CBS 2020 program but the program was cancelled due to the COVID-19 situation.
  • Offered scholarship and participated in Russian Association of Artificial Intel- ligence (RAAI) 2019 summer school, Moscow, Russia.