[1] N. Aghayan-Mashhady, A. Amirkhani, "Road damage detection with bounding box and generative adversarial networks based augmentation methods," IET Image Processing, 2023
[2] M. J. Amirkhani, M. Fakhri, A. Amirkhani, "Evaluating the use of different fillers and Kaowax additive in warm mix asphalt mixtures," Case Studies in Construction Materials, vol. 19, pp. 1-11, 2023.
[3] A. Banitalebi, A. Amirkhani, A Mohammadinasab, "EBCDet: Energy-Based Curriculum for Robust Domain Adaptive Object Detection," IEEE Access, vol. 11, pp. 77810-77825, 2023.
[4] J. Mozaffari, A. Amirkhani, S. Shokouhi, "A survey on deep learning models for detection of COVID-19," Neural Computing and Applications, vol. 35, pp. 16945-16973, 2023.
[5] A. Amirkhani and A. H. Barshooi, "DeepCar 5.0: Vehicle Make and Model Recognition Under Challenging Conditions," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 541-553, 2023.
[6] A. Khosravian, A. Amirkhani, M. Masih-Tehrani, A. Yazdanijoo, “Multi-domain autonomous driving dataset: Towards enhancing the generalization of the convolutional neural networks in new environments,” IET Image Processing, vol.17, no. 4, pp. 1253-1266, 2023.
[7] A. Amirkhani and  M. Molaei, "Fuzzy Controllers of Antilock Braking System: A Review," International Journal of Fuzzy Systems, vol. 25, pp. 222–244, 2023.

[8] A. Amirkhani, M. P. Karimi, A. Banitalebi, "A survey on adversarial attacks and defenses for object detection and their applications in autonomous vehicles," The Visual Computer, pp. 1-15, 2022.
 

[9] A. Amirkhani, M. Shirzadeh, M. Molaei, "An Indirect Type-2 Fuzzy Neural Network Optimized by the Grasshopper Algorithm for Vehicle ABS Controller" IEEE Access, vol. 10, pp. 58736-58751, 2022 

[10] A. Amirkhani, A. H. Barshooi, “Consensus in multi-agent systems: a review,” Artificial Intelligence Review, vol. 55, pp. 3897-3935, 2022 (IF=9.58)

[11] A. Amirkhani, A. H. Barshooi, A. Ebrahimi, “Enhancing the Robustness of Visual Object Tracking via Style Transfer‎,” CMC-Computers, Materials & Continua, vol. 70, no. 1, pp. 981-997, 2022

[12] A. M. Sadeghi, B. Mashadi, A. Amirkhani, A. H. Salari, “Maximum tire/road friction coefficient prediction based on vehicle vertical accelerations using wavelet transform and neural network,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 44, no. 8, pp. 1-18, 2022

[13]  A. Amirkhani, M. P. Karimi, “Adversarial defenses for object detectors based on Gabor convolutional layers,” The Visual Computer, vol. 38, no. 6, pp. 1929-1944, 2022
 

[14] A. Amirkhani, A. Khosravian, M. Masih, H. Kashiani, “Robust Semantic Segmentation With Multi-Teacher Knowledge Distillation‎,” IEEE Access, vol. 9, pp. 119049-119066, 2021
 
[15] A. Khosravian, A. Amirkhani, H. Kashiani, M. Masih-Tehrani, “Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments,” Expert Systems with Applications, vol. 183, 2021

[16] A. Amirkhani, M. Shirzadeh, T. Kumbasar, B. Mashadi, “A framework for designing cognitive trajectory controllers using genetically evolved interval type-2 fuzzy cognitive maps,” International Journal of Intelligent Systems, vol. 37, pp. 305-335, 2021 (IF=8.99)

[17] A. Khosravian, A. Amirkhani, M. Masih, “Enhancing the robustness of the convolutional neural networks for traffic sign detection,” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 236, no. 8, pp. 1849-1861, 2021
 
[18] N. Tork, A. Amirkhani, S. B. Shokouhi, “An adaptive modified neural lateral-longitudinal control system for path following of autonomous vehicles,” Engineering Science and Technology, an International Journal, vol. 24, no. 1, 126-137, 2021

[19] M. Shirzadeh, A. Amirkhani, N. Tork, H. Taghavifar, “Trajectory tracking of a quadrotor using a robust adaptive type-‎‎2 fuzzy neural controller optimized by cuckoo algorithm‎,” ISA Transactions, vol. 114, pp. 171-190, 2021

[20] A. M. Sadeghi, A. Amirkhani, B. Mashadi, "Braking intensity recognition with optimal K-means clustering algorithm" Journal of Computational & Applied Research in Mechanical Engineering (JCARME), vol. 11, no. 2, pp. 409-423, 2021
 
[21] A. Amirkhani, M. Shirzadeh, M. H. Shojaeefard, A. Abraham, “Controlling wheeled mobile robot considering the effects of uncertainty with neuro-fuzzy cognitive map” ISA Transactions, vol. 100, pp. 454-468, 2020.

[22] A. Amirkhani, and E. I. Papageorgiou, “A Novel Fuzzy Inference Approach: Neuro-fuzzy Cognitive Map,” International Journal of Fuzzy Systems, vol. 22, no.3, pp. 859-872, 2020.

[23] M. Kolahdoozi, A. Amirkhani, M. H. Shojaeefard, A. Abraham, “A novel quantum inspired algorithm for sparse fuzzy cognitive maps learning,” Applied Intelligence, vol. 49, no. 10, pp 3652–3667, 2019.

[24] A. Amirkhani, E. I. Papageorgiou, M. R. Mosavi, K. Mohammadi, “A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty,” Applied Mathematics and Computation, vol. 337, pp. 562-582, 2018.

[25] A. Amirkhani, M. Shirzadeh, E. I. Papageorgiou, M. R. Mosavi, “Visual-based quadrotor control by means of fuzzy cognitive maps,” ISA Transactions, vol. 60, pp. 128-142, 2016.

[26] M. Shirzadeh, H. J. Asl, A. Amirkhani, A. Jalali, “Vision-based control of a quadrotor utilizing artificial neural networks for tracking of moving targets,” Engineering Applications of Artificial Intelligence, vol. 58, pp.34-48, 2017

[27] S. Chehresa, A. Amirkhani, G. R. Rad, M. R. Mosavi, “Optimum features selection for oil spill detection in SAR image,”Journal of the Indian Society of Remote Sensing, vol. 44, no. 5, pp. 775-787, 2016

[28] M. Shirzadeh, A. Amirkhani, A. Jalali, M. R. Mosavi, “An indirect adaptive neural control of a visual-based quadrotor robot for pursuing a moving target,” ISA Transactions, vol. 59, pp. 290-302, 2015.

[29] A. Amirkhani, M. Niyazi, M. R. Mosavi, “An ultra-small heterostructure wavelength division multiplexer (WDM) with the ability to select two wavelengths from the s-band,” Optical and Quantum Electronics, vol. 46, pp. 897–909, 2014.

[30] M. Niazi, A. Amirkhani, M. R. Mosavi, “Investigation and Simulation of A Two-channel Drop Filter with Tunable Double Optical Resonators,” Journal of Superconductivity and Novel Magnetism, vol. 27, no. 3, pp. 827-834, 2014.

[31] S. A. Mirmahdavi, A. Amirkhani, A. Ahmadyfard, M. R. Mosavi, “Random Texture Defect Detection by Modeling of Extracted Features From Optimal Gabor Filter,” Journal of Advances in Computer Research, vol. 6, no. 3, pp. 65-85, 2015.
[32] A. Ebrahimi, A. Amirkhani, A. Raie, M. R. Mosavi, “Car License Plate Recognition using Color Features of Persian License Plates,” Journal of Advances in Computer Research, vol. 6, no. 4, pp. 27-38, 2015.

M. Shirzadeh, M H. Shojaeefard, A. Amirkhani, H. Behroozi, “Adaptive fuzzy nonlinear sliding-mode controller for a car-like robot,” in Proc. IEEE, 5th Conference on Knowledge-Based Engineering and Innovation, Iran, 2019.
- A. Najafi, A. Amirkhani, E. I. Papageorgiou, M. R. Mosavi, “Medical decision making based on fuzzy cognitive map and a generalization linguistic weighted power mean for computing with words,” in Proc. IEEE, International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy, July 2017
- A. Amirkhani, M. Shirzadeh, E. I. Papageorgiou, M. R. Mosavi, “Fuzzy Cognitive Map for Visual Servoing of Flying Robot,” in Proc. IEEE, International Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver, Canada, July 2016.
- M. Amirkhani, A. Amirkhani, A. Karimian, “Reducing the Effect of High-Power Electromagnetic Waves on Electrical Equipment,” in Proc. IEEE, The International Congress on Technology, Communication and Knowledge, 2015.
- A. Amirkhani, A. Ebrahimi, S. A. Mirmahdavi, “A Morphological Approach to Persian Handwritten Text Line Segmentation,” in Proc. IEEE, 16th International Conference on Computer Modelling and Simulation, Cambridge University, UK, 2014, pp. 297-300.
- M. A. Soofivand, A. Amirkhani, M. R. Daliri, G. Rezairad, “Feature level combination for object recognition,” in Proc. IEEE, 4th International Conference on Computer and Knowledge Engineering (ICCKE 2014), Mashhad, Iran, 2014.
- A. Ebrahimi, A. Amirkhani, A. Raie, “Enhancing the license plates character recognition methods by means of SVM,” in Proc. IEEE, 22nd Iranian Conference on Electrical Engineering (ICEE 2014), Tehran, Iran, 2014
- A. Amirkhani, A. Ebrahimi, S. A. Mirmahdavi, “License Plate Extraction From Still Images,” in Proc. IEEE, 4th International Conference on Intelligent Systems, Modeling & Simulation (ISMS 2013), Bangkok, Thailand, 2013, pp. 45-48.
- A. Amirkhani, M. Niazi, M. R. Mosavi, “Design and simulation of a fuzzy controller for a busy intersection,” in Proc. IEEE, International Conference on Computer Applications Technology (ICCAT'2013), Sousse, 2013.
- J. Beitollahzadeh, A. Amirkhani, K. Mohammadi, “A new method for increasing the lifetime of network and reducing energy consumption in wireless sensor network,” in Proc. IEEE, 21st Iranian Conference on Electrical Engineering (ICEE 2013), Mashhad, Iran, 2013.
- M. J. Rezaei, A. Amirkhani, S. B. Shokouhi, “A review of intelligent predistortion methods for the linearization of RF power amplifiers,” in Proc. IEEE, International Conference on Computer Applications Technology (ICCAT'2013), Sousse, 2013.