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Personal profile

Professional Overview

Biography:

S. Farokh Atashzar [f.atashzar@nyu.edu] is an Assistant Professor of Electrical and Computer Engineering, as well as Mechanical and Aerospace Engineering at New York University (NYU). Prior to joining NYU, Atashzar was a senior postdoctoral scientist in the Department of Bioengineering, Imperial College London, UK, sponsored by Natural Sciences and Engineering Research Council (NSERC) of Canada. From February 2017 to August 2018, he served as a postdoctoral research associate at Canadian Surgical Technologies and Advanced Robotics (CSTAR) center. From 2015 to 2018, he conducted research for the Network of Centres of Excellence (NCE) of Canada program “Aging Gracefully across Environments using Technology to Support Wellness, Engagement and Long Life (AGE-WELL)". In 2014, he was a visiting research scholar at the Biorobotic Systems lab, University of Alberta, Canada. His many awards include the highly-competitive Ontario Graduate Scholarship (OGS) in 2013 and an NSERC Post-Doctoral Fellowship (PDF) in 2018. He was ranked among the top "5" applicants in Canada for the 2018 NSERC PDF competition in the Electrical and Computer Engineering sector.

MERIIT Lab:

Atashzar leads the Medical Robotics and Interactive Intelligent Technologies (MERIIT) Laboratory, at NYU. The mission of the MERIIT Lab is to develop and implement artificial intelligence, advanced control systems, signal processing algorithms, smart wearable mechatronic modules, and transparent human-robot interaction systems to augment human capabilities using multimodal robotic technologies. A particular focus of the lab is on interactive Neuro-Rehabilitation Robotic and Surgical Robotic systems. The lab hosts state-of-the-art human-machine interface technologies to exploit bidirectional interactions that allow humans to overcome natural, physiological, and pathological barriers.  

Editorial Services, Symposia, and Workshops: 

Atashzar has served as the lead guest editor for two special issues: (i) “Intelligent Human-Robot Interaction for Rehabilitation and Physical Assistance,” in IEEE Robotics and Automation Letters, and (ii) Autonomy and Intelligence in Neurorehabilitation Robotic and Prosthetic Technologies," in the Journal of Medical Robotics Research. He is the publication co-chair of the 2020 International Symposium on Medical Robotics (ISMR), Georgia Institute of Technology, Atlanta, USA. Atashzar is a general chair of the Symposium on “Advanced Bio-Signal Processing and Machine Learning for Assistive and Neuro-Rehabilitation Systems” at the 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP2019). He was also a general chair for the symposium at GlobalSIP 2018, and a technical chair for the symposium at GlobalSIP 2017. He has served as the lead organizer for several workshops, including the workshop on "Sensorimotor Augmentation in NeuroRehabilitation Robotic and Prosthetic Technologies" at  ISMR2019, and the workshop on "Autonomy and Intelligence in Robotic Rehabilitation and Assistive Technologies", at RehabWeek2019, Canada, and the workshop on “Physical Human-robot and Human-telerobot Interaction: From Theory to Application for Neuro-rehabilitation,” 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Canada.

Research Interests: Medical Robotics, NeuroRehabilitation Robotics, Surgical Robotics, Deep BioSignal Processing, Haptics, Smart Prosthetics, Bio-Feedback Systems, Telerobotics, Physical Human-Robot Interaction, Advanced Nonlinear Control Systems, Passivity Control Theory, Small-gain Control Theory, Stability, Adaptive Filters, Machine Learning, and AI.

Fingerprint Weighted list of dominant concepts in the person's research.

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Research Output 2006 2019

Active Sensorimotor Augmentation in Robotics-Assisted Surgical Systems

Atashzar, S. F., Naish, M. & Patel, R. V., Feb 7 2019, Mixed and Augmented Reality in Medicine. CRC Press, p. 61-81 21 p. (Mixed and Augmented Reality in Medicine).

Research output: Chapter in Book/Report/Conference proceedingChapter

An online spectral information-enhanced approach for artifact detection and fault attentuation in myoelectric control

Stachaczyk, M., Atashzar, S. F. & Farina, D., Jun 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019. IEEE Computer Society, p. 671-675 5 p. 8779482. (IEEE International Conference on Rehabilitation Robotics; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electromyography
Artifacts
Electrodes
Chemical activation
Fingers

Design and implementation of a two-DOF robotic system with an adjustable force limiting mechanism for ankle rehabilitation

Mehrabi, V., Atashzar, S. F., Talebi, H. A. & Patel, R. V., May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 577-583 7 p. 8794028. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Patient rehabilitation
Robotics
Robots
Torque
Friction

Differential Temporal Perception Abilities in Parkinson’s Disease Patients Based on Timing Magnitude

Bernardinis, M., Atashzar, S. F., Jog, M. S. & Patel, R. V., Dec 1 2019, In : Scientific reports. 9, 1, 19638.

Research output: Contribution to journalArticle

Open Access
Time Perception
Aptitude
Parkinson Disease
Levodopa
Basal Ganglia

Electrophysiological signal processing for intraoperative localization of subthalamic nucleus during deep brain stimulation surgery

Khosravi, M., Atashzar, S. F., Gilmore, G., Jog, M. S. & Patel, R. V., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 424-428 5 p. 8646606. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Surgery
Brain
Signal processing
Electrodes
Microelectrodes