MJAHMADEE

Mohammad Javad Ahmadi

Bio & About


University


I am currently Master's degree student in Control Engineering at K. N. Toosi University of Technology, Tehran, Iran and I have joined a robotics group in Advanced Robotics and Automated System (ARAS) Lab under the supervision of Prof. Hamid D. Taghirad.

Governance


Electricity Committee Chair of Islamic Republic of Iran Energy Congress & Governance & Policy Think Tank (GPTT)

Education


Experiences


Timeline


 

K. N. Toosi University of Technology

MSc. Student of Electrical Engineering (Control).

Learn MoreSep 09, 2019
 

ARAS Robotics Research lab

Member of ARAS Robotics Research lab.

Oct 09, 2019
 

Master's degree Entrance Exam

Rank 8 (Instrumentation and Industrial Automation) | Rank 80 (Electrical Engineering (Control)) | Rank 85 (Aerospace Engineering)

Aug 01, 2019
 

Amirkabir University of Technology

Bachelor's degree, Electrical and Electronics Engineering

Learn MoreSep 22, 2018
 

Recent Experiences

Electricity Committee Chair of IR.IRAN Energy Congress, Editorial Board Member of IMPULSE (Talangor) Journal.

Jul 01, 2018
 

Recent Projects

Hydroelectric Power Plant Management Center, Autonomous Vehicle, DC Motor Speed Controller, PLC Based Elevator Controller, Smart Farm, ...

Learn MoreJan 01, 2019
 

Nationwide University Entrance Exams

Rank 289 (Mathematics and Physics)

Jun 11, 2015
 

National Organization for Development of Exceptional Talents (NODET)

Diploma in Mathematics and Physics (Average: 20/20)

Learn MoreSep 23, 2011

Last Article


1 min read

DOI: 10.1109/ICRoM48714.2019.9071915. In this paper, an algorithm is considered for the double integrator multi-agent system to achieve consensus resiliently. Considering the stable control of the system in presence of malicious attack is called resilient control. The network graph is varying in this paper, and the malicious node is smart as meaning that its position is changing between the minimum and maximum value. It is presumed that we know how many malicious nodes is in vicinity of each node and its number is limited. The smart node which wants to damage network, oscillate between the minimum and maximum value of the position, so, W-MSR algorithm on the position is not able to determine malicious node and isolate it. This paper utilizes velocity instead of using position so, the modified version of W MSR called MW-MSR is proposed. Finally, it is provided some numerical simulations to show the performance and efficiency of the theoretical results. This paper has been accepted for the Conference on Robotics and Mechatronics (ICROM 2019)

Selected Projects


Articles & Reports


Current Research Topics

Developing methods of eye surgery training and eye surgeon skill assessment using kinematics data and videos of surgery, Designing and implementing control scheme for eye surgeon robot using video feedback.

My University Professors


Last Blog Post


1 min read
  •  09/16/2020 23:56

Personal Blog


Meetings


News & Events


Team


Music


Forum


Twitter Tweets


Read our paper titled: "Resilient Consensus in Double-Integrator Systems with Switching Networks Facing Smart Attac… https://t.co/xUfgBORf9i

Series of #ARAS Public Webinars – ARAS eye #surgery training system: A VR/AR approach Date: Monday, August 3rd, 20… https://t.co/roHqYYXLt8

LET’S TALK.


  • K.N.Toosi University of Technology, Faculty of Electrical Engineering
  • If you want to ask any questions, just write me and I will contact you soon.

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