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

ELEC 273: Basic Circuit Analysis
ELEC 275: Principles of Electrical Engineering
ENGR 290: Introductory Engineering Team Design Project
COEN 320: Intro to Real-time Systems
ELEC 372: Fundamentals of Control Systems
COEN421: Embedded Systems And Software Design
ELEC 483: Real-Time Computer Control System
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

Service Activities

Journal Reviewer	IEEE Transactions on Cybernetics	2019-present
	Asian Journal of Control	2022
	IEEE Systems Journal	2020-present
	IEEE Transactions on Vehicular Technology	2020
	IEEE Transactions on Aerospace and Electronic Systems	2019-present
	ISA Transactions	2021
Conference Reviewer	IEEE American Control Conference (ACC)	2022
	IEEE American Control Conference (ACC)	2021
	IEEE International Conference on Systems, Man, and Cybernetics (SMC)	2021
	IEEE Conference on Decision and Control (CDC)	2020

Publications

Journal Papers

[J4] A. Mousavi, K. Aryankia, and R. R. Selmic, "A distributed fdi cyber-attack detection in discrete-time nonlinear multi-agent systems using neural networks," European Journal of Control, vol. 66, p. 100646, 2022.
[J3] K. Aryankia and R. R. Selmic, "Neural Network-Based Formation Control With Target Tracking for Second-Order Nonlinear Multiagent Systems," in IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 1, pp. 328-341, Feb. 2022, doi: 10.1109/TAES.2021.3111719.
[J2] 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.
[J1] 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

[C3] 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.
[C2] 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.
[C1] 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.