Reza Abiri

Postdoctoral Fellow
Mechanical Engineering, Ph.D.
University of California, San Francisco
University of California, Berkeley

Research areas:

Neural Control Engineering, Control Systems, Robotic Controls,  Machine Learning, Mechatronics Systems, Closed-Loop Medical Devices, Brain Machine (Computer) Interfaces, Neuroprosthetics, Nonlinear Dynamics and Smart Materials.

Ph.D. in Mechanical Engineering (Systems & Controls)

University of Tennessee, Knoxville, 2013-2017

Dissertation: Design and Implementation of EEG-Based Brain Computer Interfaces for Neurorehabilitation and Neuroprosthetics.” Advisor: Dr. Xiaopeng Zhao (


Undergraduate research assistants:

Justin Kilmarx


Griffin Heise


William Lifferth


Megan Pitz


[Video 1]: Overview Video: Coming Soon!

Part 1 of 2:
Video 2 to 5: Developing multiple Brain Computer (Machine) Interface platforms for controlling prosthetic and robotic devices with minimized training time protocols. See the following picture as an overview to the components integrated in our developed platforms.

[Video 2]: Brain Controlled Computer Cursor: A novel approach for fast training in cursor control task. [BCI2000, MATLAB, C++ ].



[Video 3]: Brain Controlled Robotic Arm: Robotic arm control after a few minutes of training. The first noninvasive control approach with minimized training time to less than 10 minutes. Video was sped up to show entire session. [Python, BCI2000, MATLAB, C++].

[Video 4]: Brain Controlled Drone: Planar control of a drone with zero training protocol. [JavaScript, Node.JS, BCI2000, Simulink, MATLAB, C++].

[Video 5]: Brain Controlled Humanoid Robot. [Simulink, BCI2000, MATLAB, C++].

Part 2 of 2:
Video 6: A novel neurofeedback-based Brain Computer Interface platform for attention training.

[Video 6]: Coming Soon! [Simulink, MATLAB].

M.Sc. Degree in Mechanical Engineering (Dynamics & Controls)

Amirkabir University of Technology, Tehran, Iran, 2009-2011

Thesis: “Dynamic Modeling and Control of a Modular Microrobot Capable of 3D Maneuver (Theory, Design, Fabrication and Implementation).”

Advisor: Dr. Mansour Kabganian (,

Co-advisor: Reza Nadafi (

Special thanks to my friends:

Iman Kardan

Meitham Amere

Reza Nadafi

Part 1 of 2:
Video 7: Modeling and identification of a shape memory alloy spring actuator using experimental tests. Setting up the platform from the scratch to the final stage of collecting data.

[Video 7]: (Video was sped up!). [Simulink, MATLAB, Solidworks].

Part 2 of 2:
Video 8: Developing a novel minirobot module using shape memory alloy spring actuators. (Conceptual design, Fabrication, Setting up the complete platform, Open-loop tests, Closed-loop tests)

[Video 8]: (Video was sped up!). [Simulink, MATLAB, Solidworks].

B.Sc. Degree in Mechanical Engineering (Solid Mechanics)

K.N. Toosi University of Technology, Tehran, Iran, 2005-2009

Thesis: “Neural Network Modeling of Suspension Kinematics in the Analysis of Vehicle Dynamics.”

Advisor: Dr. Shahram Azadi (

Diploma in Applied Science

National Organization for Developing Exceptional Talents, Neyshabur, Iran, 2001-2005