Dear Colleagues and Friends,

This week, we have the honour to host Prof. Mahdi Tavakoli with an invited Speech title "Enabling Shared Autonomy in Robot-assisted Surgery and Therapy via Intelligent Control and Machine Learning" in our AI colloquium.

This may be of your interest or any of your colleagues/assistants in your network/group.

Please do not forget to register to this event by today, 15.03.2021 through 

For further details, please check the following message.

******apologies for cross-postings******

As a part of AAISI activities (the Association for AI in Science and Industry), we host invited speakers from academia and industry in our weekly AI Colloquium.

Due to the current pandemic situation, the AI colloquium takes place online. In this regard, we decided to open our AI colloquium to public for FREE.

The Association for AI in Science and Industry (
The AI Colloquium - Invited Speech

Participation is FREE and OPEN to all.
Prior REGISTRATION is required. 
The number of participants is limited. 

Registration Deadline: March 16, 2021, 11:59AM CET
Registration Link:

Invited Speaker: Prof. Dr. Mahdi Tavakoli
University of Alberta, Canada

Title: Enabling Shared Autonomy in Robot-assisted Surgery and Therapy via Intelligent Control and Machine Learning

Speaker's Bio:
Mahdi Tavakoli is a Professor in the Department of Electrical and Computer Engineering, University of Alberta, Canada. He received his BSc and MSc degrees in Electrical Engineering from Ferdowsi University and K.N. Toosi University, Iran, in 1996 and 1999, respectively. He received his PhD degree in Electrical and Computer Engineering from the University of Western Ontario, Canada, in 2005. In 2006, he was a post-doctoral researcher at Canadian Surgical Technologies and Advanced Robotics (CSTAR), Canada. In 2007-2008, he was an NSERC Post-Doctoral Fellow at Harvard University, USA. Dr. Tavakoli’s research interests broadly involve the areas of robotics and systems control. Specifically, his research focuses on haptics and teleoperation control, medical robotics, and image-guided surgery. Dr. Tavakoli is the lead author of Haptics for Teleoperated Surgical Robotic Systems (World Scientific, 2008). He is a Senior Member of IEEE and an Associate Editor for IEEE/ASME Transactions on Mechatronics, Journal of Medical Robotics Research, IET Control Theory & Applications, and Mechatronics. Currently, Dr. Tavakoli acts as Scientific Co-Director for the University of Alberta’s SMART Network, Co-Lead for Healthy Communities Project of Autonomous Systems Initiative supported by the Government of Alberta, and Co-Chair for the IEEE RAS Technical Committee for Telerobotics.

Speech Abstract: 
Surgical, therapeutic, diagnostic, and rehabilitative interventions can be significantly enhanced using computer-integrated robotic systems with real-time decision-making capabilities that work under the direct, shared, or supervisory control of medical professionals (surgeons, therapists and physicians). Incorporating appropriate levels of autonomy in systems for healthcare delivery has the potential to lower the mental and physical loads on clinicians while improving the reliability, precision and safety of the interventions for patients. For example, an autonomous system can help to build computerized models of a medical intervention, learned through demonstration by human experts, and transfer the learned skills to a robot that is in charge of providing intelligent assistance to surgeons or therapists. In this seminar, Dr. Mahdi Tavakoli, Professor at the University of Alberta, discusses several applications of medical robotics and their related challenges, and offers solutions based on combining the capabilities of humans with the precision, accuracy, and fast decision-making capabilities of machines.

For further questions and requests, please contact the Help-desk by email to events [AT] aaisi [DOT] org

Best regards,
AAISI AI Colloquium Helpdesk, 

On behalf of
Asst. Prof. Dr. Mahdi Bohlouli, General Chair
Association for Artificial Intelligence in Science and Industry