Best crew ever

Cyberphysical Systems

We bring together expertise from electrical, computer and biomedical engineering, as well as computer science fields to study the interaction between the physical world and computing systems with varying levels of autonomy, aka Cyber-Physical Systems (CPS).

Robotics and Artificial Intelligence
Amin Razzaghi

Formation Control of Mobile Robots
Kian Behzad

Platooning Control of Autonomous Vehicles
Roozbeh Bazargani

Vehicle Platooning Control
Golnaz Bashirian

Autonomous Vehicles
Nila Masroori Saadat

Multi-lateral Teleoperation under IoT
Zeynab Mottaghi

Self Balancing Robot

Alireza Kazemi

The dissertaion is about Self balancing robot. This project draws on the theoretical principles of the inverted pendulum. The goal of my project is modeling , controller design and implementation on two wheel robots . Arm due to its abilities to create High frequency is the microcontroller that is used for implementing control algorithm. Modern control algorithm such as state feedback is used for stabilization of unstable open loop system of robot.

Phone:09198061044

Mobile Robots

Marzieh Jamalabadi

I received my diploma degree (from Algooneh, magnet high school in Shiraz) in 2013 and in the same year I started my undergraduate degree in Mechanical Engineering, Heat and Fluids from Shiraz University and my Bachelor thesis was in the field of PCM materials, their properties and thermal simulation of them; after taking the university entrance exam in 2018, I was accepted to attend a master degree program of Amirkabir University of Technology (Tehran Polytechnic) in Mechanical Engineering and I chose to work in Control and Robotics filed with keen interest, concerning the fact that my Master thesis is in the field of Mobile Robots, trajectory tracking, Laguerre functions, robustness and MPC controllers.
I worked at Shiraz Gas Powerplant as an intern in summer 2017 and at Shiraz Metro Organization as a technical office expert in 2018.
over the undergraduate and master period, I experienced a variety of projects which led me to work with various software programs such as Matlab, Simulink, Ansys fluent, Catia, Abacus, Autocad, WaterGEMS, Carrier,HAP,…

Robotics and Artificial Intelligence

Amin Razzaghi

I am an undergraduate student at the Amirkabir University of Technology, interested in Robotics, Artificial intelligence, and IoT.
I have experience working with hardware such as PLC, raspberry pi, Arduino.

Formation Control of Mobile Robots

Kian Behzad

Kian Behzad is an undergraduate Electrical Engineering student at Amirkabir University of Technology (Tehran Polytechnic). He devoted his time to the SSL lab (Parsian robotic lab) for three years, working on mobile robots.
He has experience in control theory, Internet of things(IoT), Artificial Intelligence(AI), Machine Learning(ML), and distributed programming structures, to name but a few.
His BSc. thesis is to design and implement the formation control of mobile robots in the context of soccer robot players as a case environment.

Platooning Control of Autonomous Vehicles

Roozbeh Bazargani

I am an undergraduate student at the Amirkabir University of Technology, interested in artificial intelligence, multi-agent systems, and autonomous vehicles. In addition to my first major, Electrical Engineering, studying computer science as my second major provides me deeper insights into algorithms, graph theory, optimization, and deep learning. Therefore, combination of computer science with Electrical Engineering gives me a better understanding of my interests. My B.Sc. thesis is to implement IoT based path planning and platooning control of autonomous vehicles.

Vehicle Platooning Control

Golnaz Bashirian

My research interests are :
– Cyber physical system
– autonomous and connected vehicels
– Machine learning
– Deep learning
– Artifitial Intelligence
– Control systems
– Robotics
My Bs. Thesis which I am working on is “Vehicle Platooning Control with Ability to Detec and Replace Anomalous Leader using Intellingent Methods”.

Autonomous Vehicles

Nila Masroori Saadat

My research interests are “autonomous vehicles” “neural network”, “artificial intelligence” and “machine learning”.
My Bs. thesis is “vehicle traffic monitoring and controlling system based on priority with an iot platform” which uses the real time monitoring for traffic jam recognition and vehicle control while considering the lags appearing in the system owing to iot network. Therefore, maintaining the stability is required.

Haptic Steering for Cars

Amir Bayat

Amir bayat was born on april 1st 1998, and he is an undergraduate Electrical Engineering student at Amirkabir University of Technology (Tehran Polytechnic).
He has studied control engineering and is intrested in embedded systems.
His BSc. thesis is desiging and implementing haptic steering for cars.

Multi-lateral Teleoperation under IoT

Zeynab Mottaghi

Zeynab Mottaghi is an undergraduate Electrical Engineering student at Amirkabir University of Technology (Tehran Polytechnic).she have stuied Control as her major and Telecommunication as her minor. Her BSc. thesis is about live surgery over IoT networks. She designed a controller and a data loss detector for telecommunication under data loss and time variable delay. The network of project is intended to implement.

Best crew ever

Medical Robotics

We are developing new medical robot platform to integrate technologies such as advanced imaging, data analysis, and machine learning to enable greater efficiency and improved outcomes across a wide range of surgical procedures.

Rehabilitation Robots
Hossein Ahmadian Pour

Multi-Lateral controlling of a wrist rehabilitation robot
Zeynab Ezzati

Rehabilitation Robots

Hossein Ahmadian Pour

I am a Ph.D. student at the Amirkabir University of Technology, interested in Robotics, ℒ1 Adaptive Control, Adaptive Control, Deep Learning, Neural network, ANFIS, Cyber Attack and Teleoperation. My master thesis was “Extending ℒ1 Adaptive Control to Dynamical Systems Using Barrier Lyapunov Function and High-Gain Observer”.

Also my undergraduate thesis was “Trajectory Control for a Low-Lift Re-Entry Vehicle”.

My published and submitted articles are:

1.ℒ1 Adaptive High-Gain Observer-based Control Using Barrier Lyapunov Function for an Uncertain Submersible Remotely Operated Vehicle.

2.ℒ1 Adaptive Controller Design for Nuclear Robots in the Presence of Loss Data, Time Delay and Uncertainty.

3.ℒ1 Adaptive Back-Stepping Controller Design by BLF and Considering Position-Velocity Constraints for an ROV with Uncertainty.

4.ℒ1 Adaptive Controller Design for Single-Link Flexible Joint Manipulator with Fuzzy-PID Filter.

Design of ℒ1 adaptive controller filter using ANFIS system optimized with genetic algorithm.

Farshid Rezaee

Multi-Lateral controlling of a wrist rehabilitation robot

Zeynab Ezzati

Zeynab Ezzati received her B.S in electrical engineering (2017) from Shariati Technical College. During her studies she managed to work as a researcher and designer of drones at Balaban Aerospace Company. She was successful to design drones for different applications and set an online shop for the drones’ equipment as well. Her thesis in B.S. was to control drones with a laptop. She organized a team to participate in well-known robotic competitions and they won multiple awards such as the second place in Firacup2018 and first place in the Iran Open 2018 competition. These experiences led her to learn python, image processing, matlab and other skills. She is currently enrolled in the M.S. degree at the Amirkabir University of Technology. She joined the Real time lab in fall 2019. Her current research for pursuing her master degree is Multi-Lateral controlling of a wrist rehabilitation robot in virtual reality based on machine learning. Her research interests include machine learning, artificial intelligence, and autonomous robots.

Rehabilitation Robots

Elaheh Radmanesh

I have received my B.Sc. in Control systems engineering from Khaje Nasir Toosi University of Technology, Tehran, Iran. During my studies, I was a member of CREATECH of K.N Toosi. My project was focused on a wearable IOT based fall detection system using a triaxial accelerometer and barometric pressure sensor for patients with Alzheimer’s disease. I have published a paper about this project in the Unet2019 Conference and a chapter book in springer nature Ubiquitous Networking book. Then I have completed the second phase of this project in collaboration with the X-Lim laboratory, Limoges, France, in summer 2019. I am currently a M.Sc. student in Control system engineering, Amirkabir University of Technology, Tehran, Iran. My research focuses on the intelligent control of robots, with a concentration on Medical robot (Wrist_Rehabilitation robot) to help patients who were stroked and deprived of daily living activities. My research is also concerned with the concepts of Machine-learning, recovery indices, adaptive controller, robust controller, impedance control methods, and dominance factors and the teleoperation systems.

Rehabilitation Robots

Romina Roshani

As a final year student of electrical engineering with specialization in control, of the many fields in the electrical engineering spectrum, I am especially interested in artificial intelligence and Robotics.

Today, with the development of robotics, we are witnessing the presence of more and more robots in everyday life. The field of medicine is one of the fields that has received a lot of attention during the last decade. Among the sub-branches of medical robots, we can mention rehabilitation robots that help patients who suffer from muscle injuries.

Being able to work in the field of medical and rehabilitation robots not only satisfies my enthusiasm for learning and practical work but also enables me to provide help and support for people who are undergoing the process of rehabilitation.

My bachelor project focuses on the position control for a wrist rehabilitation robot in a way that strengthens damaged or in need of strengthening muscles. For this purpose, a controller must be designed that puts the robot in the desired position with the required accuracy.

Rehabilitation Robots

Melika Shekarriz

I find robotics and artificial intelligence to be the perfect mixture of software and hardware. The interaction between a processor manipulating data from a variety of sensors and the use of artificial intelligence to control a system is fascinating to me. The area of rehabilitation robotics is particularly interesting, not only because the engineering aspect of the research is challenging, but also because the outcome of the research has the potential to change the lives of rehabilitation patients.

I am going to graduate from the Amirkabir University of Technology with a Bachelor of Science degree in Electrical Engineering mostly focused on Control Engineering and Robotics and also a good knowledge of Artificial Intelligence. During my undergraduate career I have gained knowledge and experience through classes, laboratory projects, research, and real world practice that have prepared me for success in my future endeavors. As an undergraduate preparing for a future in robotics, I constructed a comprehensive course schedule that included courses in control systems, instrumentation, advanced robotics focusing on both kinematics and control, computational intelligence and multiple lab courses to gain valuable experiences. Also my Bsc. project is about position control and vibration suppression for rehabilitation robots which gives me an opportunity to have a real world experience.

Cooperative Dual Robot

Mahboobe Shakeri

I am an undergraduate student at the Amirkabir University of Technology, interested in Robotics, Artificial intelligence, Deep learning, and IoT. My B.Sc. thesis is to design and implement a cooperative dual robot manipulator to control a single rigid robot.