Kiarash Aryankia

Kiarash
Aryankia

I am a Ph.D. candidate in Electrical & Computer Engineering at Concordia University. My thesis focuses on formation control of nonlinear multi-agent systems using neural networks. My research interests include the formation control of multi-agent systems, neural networks control, nonlinear control and machine learning.

Contact Info

  • Address

    EV 9. 154

    Gina Cody School of Engineering and Computer Science,

    1455 De Maisonneuve Blvd. W., Montreal, QC H3G 1M8.
  • Email

    kiarash.aryankia(at)concordia.ca
  • k_aryank(at)encs.concordia.ca









Teaching Experience

  • 2018-Present

    Teaching Assistant

    Concordia University

    COEN 320: Intro to Real-time Systems
    COEN 421: Embedded Systems and Software Design
    ENGR 290: Introductory Engineering Team Design Project
    ELEC 273: Basic Circuit Analysis
    ELEC 275: Principles of Electrical Engineering
    ELEC 372: Fundamentals of Control Systems
    ELEC 483: Real-Time Computer Control System
    ELEC 691: Control of Multi-Agent Systems
  • 2014-2014

    Teaching Assistant

    Sharif University of Technology

    Network Control System (NCS)

Education

  • 2018-Present

    Concordia University

    Ph.D. Electrical & Computer Engineering

  • 2013-2015

    Electrical Engineering

    Sharif University of Technology

Publications

    Journal Papers

    1. K. Aryankia, and R. R. Selmic, Neural Network-Based Formation Control with Target Tracking for Second-Order Nonlinear Multi-Agent Systems, IEEE Transactions on Aerospace and Electronic Systems, 2021, Accepted.
    2. K. Aryankia and R. R. Selmic, "Spectral Properties of the Normalized Rigidity Matrix for Triangular Formations, in IEEE Control Systems Letters, vol. 6, pp. 1154-1159, 2022.
    3. K. Aryankia, and R. R. Selmic, Neuro-Adaptive Formation Control and Target Tracking for Nonlinear Multi-Agent Systems with Time-Delay, IEEE Control Systems Letters, vol. 5, no. 3, pp. 791-796, July 2021.



Conference Papers

1. S. A. Mousavi, K. Aryankia, R. R. Selmic, Cyber-Attack Detection in Discrete Nonlinear Multi-Agent Systems Using Neural Networks, 2021 IEEE 5th Conference on Control Technology and Applications, San Diego, CA, USA, 2021.
2. K. Aryankia, and R. R. Selmic, Neuro-Adaptive Formation Control and Target Tracking for Nonlinear Multi-Agent Systems with Time-Delay, 2020 IEEE 59th Conference on Decision and Control (CDC), Jeju Island, Republic of Korea, 2020, Presented.
3. K. Aryankia and R. R. Selmic, Formation Control and Target Tracking for a Class of Nonlinear Multi-Agent Systems Using Neural Networks, 2020 European Control Conference (ECC), Saint Petersburg, Russia, 2020, pp. 160-165.