Mohammad Javad Ahmadi

MSc. Student, Surgical Robotics

Bio & CV | Website

Hello, I’m Mohammad Javad Ahmadi and I was born in Dec. 1996 in Sari in northern IRAN near the beautiful Caspian Sea. In 2011, I was accepted into the NODET (National Organization for Developing Exceptional Talents) school and I spent four pleasant years in Shahid Beheshti high school and graduated with a Diploma GPA of 20/20. In 2015, I entered Amirkabir University of Technology (Polytechnic of Tehran), Tehran, Iran with rank 289th in the Iran national universities entrance exam and received my B.Sc. degree in Electrical and Control Engineering from there with a GPA of 4/4 in 2019. In 2019, I’ve entered K. N. Toosi University of Technology, Tehran, Iran with rank 85th in the Iran national universities entrance exam and joined to Advanced Robotics and Automated System (ARAS) Company under the supervision of Prof. Hamid D. Taghirad, and I have completed my M.Sc. courses in Control Engineering with GPA of 4/4 in 2021. Due to the cooperation of ARAS Group with Farabi hospital, I am working in the fields of Artificial Intelligence, Robotics, and Eye Surgery. My main research interest is Robotics including medical robots, surgical robots, mobile robots, flying robots, etc. I am also interested in researching Artificial intelligence, Deep learning, Computer vision, Control theory, IIoT & IoT, Multi-agent systems, and Consensus algorithm.


  • Resilient Consensus in Double-Integrator Systems with Switching Networks Facing Smart Attacks.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 (More).
  • ARAS-Farabi Experimental Framework for Skill Assessment in Capsulorhexis Surgery
  • Adaptive Robust Impedance Control of Haptic Systems for Skill Transfer
  • Closed-form Inverse kinematics Equations of a Robotic Finger Mechanism
  • Video-based Surgical Skill Assessment

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 (More).