Dr. Abdollah Amirkhani

 | Post date: 2024/12/8 | 

Dr. Abdollah Amirkhani ,Associate

Vehicle Dynamics

Research laboratory

Class schedule

 
 Email: Amirkhani(At)iust.ac.ir
 Phone: (+9821) 77240540 Ext.: 3474
 Fax: ---
 Phone: (+9821) 73223474
 Postal code: 1684613114  
 Address: Iran University of Science & Technology, University St., Hengam St., Resalat Square, Tehran, Iran.
 
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     Education  | Honors and Awards | Courses  | Research Interests | Executive Responsibilites | Patents Projects | Memberships | Thesis | BooksJournals | Conferences

 



 Ph.D.: Iran University of Science and Technology, Electrical Engineering – Electronics
                
 M.Sc.: Iran University of Science and Technology, Electrical Engineering – Electronics
                
 B.Sc.: Iran University of Science and Technology, Electrical Engineering – Electronics

 
 



Honors & Awards:

  1. National Top Student (2015) – Recognized at the Presidential Office with the presence of the First Vice President, Ministers of Science and Health

  2. First Rank in Electronics; Faculty of Electrical Engineering, Iran University of Science and Technology, 2016

  3. Shahid Chamran Award (Postdoctoral), National Elite Foundation – 2018

  4. Scholarship Award from the National Elite Foundation, Academic Year 2017-2018

  5. Scholarship Award from the National Elite Foundation, Academic Year 2016-2017 (and Study Opportunity Grant)

  6. Scholarship Award from the National Elite Foundation, Academic Year 2015-2016

  7. Scholarship Award from the National Elite Foundation, Academic Year 2014-2015

  8. Top Researcher, Faculty of Electrical Engineering, Iran University of Science and Technology at PhD (2014 and 2016) and Master's (2012) levels

  9. Admission to PhD Without Exam as an Outstanding Graduate

  10. Completion of Alternative Military Service Research Project by the National Elite Foundation

  11. Top Researcher, Commendation from the Governor and Head of the National Elite Foundation of the Province, 2015

Research Fellowship:

  1. Research Fellowship, Virginia Commonwealth University, United States, 2017-2018

 

 



Teaching Experience:
  1. Machine Learning (Master’s and PhD)

  2. Advanced Digital Signal Processing (Master’s and PhD)

  3. Advanced Automotive Electronics (Master’s and PhD)

  4. Statistical Pattern Recognition (Master’s and PhD)

  5. Power Transmission in Hybrid and Electric Vehicles (Master’s and PhD)

  6. Technology of Intelligent Vehicles (Master’s and PhD)

  7. Electrical Circuits

  8. Signals and Systems

  9. Logic Circuits

  10. Microprocessor Laboratory

  11. Computer Components and FPGA Laboratory

 
    

 

     


 Associations:
  1. Member of the National Elite Foundation

 Societies:

  1. Senior Member of IEEE, since 2022
       


 Journal Publications:
 

[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.
 
 


  Conference Proceedings:
 

[1] M. Ghafari, A. Amirkhani, E. Rashno, S Ghanbari, “Novel Gaussian Mixture-based Video Coding for Fixed Background Video Streaming” in Proc. IEEE, 12th Iranian and the 2nd International Conference on Machine Vision and Image Processing (MVIP), Iran, Feb 2022.

 

[2] M. P. Karimi, A. Amirkhani and S. B. Shokouhi, “Robust Object Detection Against Adversarial Perturbations with Gabor Filter,” in Proc. IEEE, 29th Iranian Conference on Electrical Engineering (ICEE), Tehran, Iran, pp. 187-192, 2021
 
[3] S. Soleimani Fard, A. Amirkhani, M. R. Mosavi, “RetinaMHSA: Improving in Single-Stage Detector with Self-Attention” in Proc. IEEE, 7th International Conference on Signal Processing and Intelligent Systems, Iran, Dec 2021.

[4] M. Molaie, A. Amirkhani, H. Kashiani, “Auto-Driving Policies in Highway based on Distributional Deep Reinforcement Learning,” in Proc. IEEE, 5th International Conference on Pattern Recognition and Image Analysis (IPRIA), Iran, 2021

[5] H. Asgarian, A. Amirkhani and S. B. Shokouhi, “Fast Drivable Area Detection for Autonomous Driving with Deep Learningn,” in Proc. IEEE, 5th International Conference on Pattern Recognition and Image Analysis (IPRIA), Iran, 2021

[6] A. Amirkhani, M. Shirzadeh, N. Tork and S. B. Shokouhi, “Path tracking of an autonomous vehicle by means of an indirect adaptive neural controller,” in Proc. IEEE, 7th International Conference on Robotics and Mechatronics, Sharif University of Technology, Iran, 2019
 
[7] A. Amirkhani, A. Haghanifar, M. R. Mosavi, “Electric Vehicles Driving Range and Energy Consumption Investigation: A Comparative Study of Machine Learning Techniques,” in Proc. IEEE, 5th International Conference on Signal Processing and Intelligent Systems, Shahrood University of Technology, Iran, 2019
 
[8] 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.

[9] A. Haghanifar, A. Amirkhani, M. R. Mosavi, “Dental Caries Degree Detection based on Fuzzy Cognitive Maps and Genetic Algorithm,” in Proc. IEEE, 26th Iranian Conference on Electrical Engineering (ICEE 2018), Mashhad, Iran, 2018
 
[10] 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
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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
[16] 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.
[17] 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, Tunisia, 2013.
[18] 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.
[19] 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), Sousse, 2013. 

 
  

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