Maryam Farahmandrad received a B.Sc. degree in computer engineering and an M.Sc. degree in electrical engineering (ranked first). She worked as a researcher in a research and development center. Her research interests include surgical and therapeutic robotics, tele-robotics, teleoperation control, and artificial intelligence. She has published several journal papers in these fields. She is an expert in implementing and programming various types of microcontrollers in embedded systems. Currently, she is a PhD student at RPTU.

• Automated / robotic closed-loop targeting and brain-in-the-loop control

• Researcher and Programmer, Research and Development (R&D) Center, AtiNet Company, Hamadan, Iran
• Researcher, Teleoperation Laboratory, Bu-Ali Sina University, Hamadan, Iran

• Cooperative Robotics
• Surgical and Therapeutic Robotics
• Teleoperation Control
• Artificial Intelligence and Machine Learning
• Transcranial Magnetic Stimulation (TMS)

• A novel cooperative teleoperation framework for nonlinear time-delayed single-master/multi-slave system." Robotica 38, no. 3 (2020): 475-492.
•  Design of higher-order sliding mode controller based on genetic algorithm for a cooperative robotic system, International Journal of Dynamics and Control 8, no. 1 (2020): 269-277.
• Sinusoidal-ripple current control in battery charger of electric vehicles, IEEE Transactions on Vehicular Technology 69, no. 7 (2020): 7201-7210.
• Fuzzy sliding mode controller design for a cooperative robotic system with uncertainty for handling an object, Journal of Dynamic Systems, Measurement, and Control 141, no. 6 (2019): 061010.
• Short-term interaction between electric vehicles and microgrid in decentralized vehicle-to-grid control methods, Protection and Control of Modern Power Systems 4, no. 1 (2019): 1-11.

• Fault-Tolerant Electric Vehicle Drivetrain with Reconfigurable Battery and Multiphase Machine. In 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON) (pp. 1-6). IEEE.
• More and faster energy transfer capability for battery chargers of electric vehicles,” in World Automation Congress 2021. IEEE, 2021.
• Higher order sliding mode controller design for cooperative robotic systems with uncertainty for handling an object,” in 4th International Conference on Electrical, Computer, Mechanical, and Mechatronics Engineering (ICE2016). Science and Research Pioneers Institute, 2016.

• Ranked 1st in master’s degree

Matlab, C, C++, C#, Embedded Systems

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