Cable-Driven Parallel Robots Professors and Supervisors in Canada

Qingguo Liمشاهده پروفایل

استاد

Queen's University at KingstonCanada

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

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Javad Dargahiمشاهده پروفایل

استاد

Concordia UniversityCanada

Javad Dargahi is a Professor of Mechanical, Industrial and Aerospace Engineering at Concordia University, Montreal. His research focuses on haptic sensors, robotic systems for minimally invasive surgery, and smart sensor fabrication using micromachining and piezoelectric polymers. He leads projects in teletaction, embedded force sensing for soft robots, and medical device innovation. Research interests include tactile sensor design for robots and endoscopes, nonlinear impedance matching in surgical robotics, and deep learning-driven force estimation for catheters. His work bridges mechanical engineering with biomedical applications, emphasizing safety and precision in interventional surgeries. Recent publications explore multitask neural architectures for intracardiac catheters, real-time force control algorithms, and biomimetic soft robotics. His lab develops miniature optical sensors and stiffness-adaptive systems for surgical tools, with applications in cardiac ablation and vascular navigation.

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Leila Notashمشاهده پروفایل

استاد

Queen's University at KingstonCanada

Robotics
Mechatronics
Kinematics
+۳ مورد دیگر

Dr. Leila Notash is a Professor in the Department of Mechanical and Materials Engineering at Queen's University, where she has been a faculty member since 1997. She is a Fellow of Engineers Canada (FEC) and a licensed Professional Engineer with Professional Engineers Ontario (PEO), with significant contributions to engineering education and professional service. Her educational background includes: Bachelor of Science in Mechanical Engineering, Middle East Technical University (Ankara, Turkey) - High Honor Student (2nd out of 166) Master of Applied Science in Mechanical Engineering, University of Toronto PhD in Mechanical Engineering, University of Victoria Dr. Notash's research centers on robotics and mechatronics, with specialized expertise in cable-driven parallel manipulators. Her work integrates kinematics, fault-tolerant design, and neural network applications to address challenges in robot calibration, workspace analysis, and motion control under real-world constraints like cable mass and elasticity. She investigates both theoretical frameworks and practical implementations for industrial and specialized robotic systems. Analysis of her recent publications (2020-2024) reveals a clear trajectory toward intelligent control systems, where machine learning techniques—particularly neural networks and reinforcement learning—are increasingly applied to solve complex problems in cable-driven robotics. This includes motion control optimization, path generation, and kineto-static analysis while accounting for physical limitations such as cable elasticity and mass effects, demonstrating a shift from traditional mechanical analysis to data-driven adaptive control methodologies. Her scientific recognition includes: Fellow of Engineers Canada (FEC) University of Toronto Open Fellowship University of Toronto International Differential Fee Waiver Charles S. Humphrey Graduate Student Award NSERC Doctoral Prize Nominee (1996) Dr. Notash has mentored 161 undergraduate students as Faculty Advisor for the Mechanical '06 cohort and pioneered international educational initiatives like the International Undergraduate Student Design project (IVDS), connecting Queen's University with Middle East Technical University and Union College. Her service extends to editorial leadership for Mechanism and Machine Theory and ASME journals, and governance roles including Faculty Senator at Queen's University (2009-2025) and PEO Council Councillor-at-Large (2019-2025). She has established collaborative research networks through initiatives like the Reading Week shop course 'Design Basics 1.0' and sustained leadership in the Canadian Committee for the Promotion of Mechanism and Machine Science (CCToMM) and the International Federation for the Promotion of Mechanism and Machine Science (IFToMM), where she chaired the Permanent Commission on Communications (2006-2011).

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Keyvan Hashtrudi-Zaadمشاهده پروفایل

استاد

Queen's University at KingstonCanada

Keyvan Hashtrudi-Zaad is a Professor in the Department of Electrical and Computer Engineering at Queen's University, affiliated with the Smith School of Engineering and the Ingenuity Labs Research Institute. His expertise spans robotics and control systems, with a focus on haptics, telerobotics, tele-rehabilitation, autonomous vehicles, and medical robotics. He holds the email addresses keyvan.hashtrudi-zaad@queensu.ca and khz@queensu.ca, and his office is located in Walter Light Hall, Room 427. Research Interests: His research emphasizes human-robot interaction, haptic interfaces, autonomous systems, and mechatronics. Key areas include kinesthetic haptics, collaborative teleoperation systems, energy storage systems for electric vehicles, and medical robotics applications such as needle deflection estimation and rehabilitation robotics. His work bridges theoretical control systems with practical applications in healthcare and autonomous technologies. Publications: His recent work addresses challenges in haptic system stability, energy-efficient inverters for electric vehicles, and teleoperation networks. Notable projects include a cable-driven parallel robot for stroke rehabilitation and a study comparing DC/BLDC actuators for haptic feedback. His research often integrates sensor fusion, nonlinear control, and dynamic modeling to solve real-world problems. Awards and Recognition: While specific awards are not listed, his extensive publication record and leadership in interdisciplinary robotics initiatives highlight his contributions to the field. He is part of the Interactive Robotics and Intelligent Systems (IRIS) Laboratory, advancing innovations in medical robotics and autonomous systems. Grants and Collaborations: His work likely involves collaborations across engineering and medical disciplines, supported by grants focused on robotics, control systems, and healthcare technologies. The IRIS Lab serves as a hub for developing cutting-edge solutions in haptic training systems and assistive robotics.

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Ali Tavallaeiمشاهده پروفایل

استادیار

Toronto Metropolitan UniversityCanada

Ali Tavallaei serves as an Assistant Professor at Toronto Metropolitan University since 2019 and concurrently holds a Visiting Scientist position at Sunnybrook Research Institute. He is also the President and Co-founder of Magellan Biomedical Inc. (2018-present) and Vital Biomedical Technologies Inc. (2012-present), demonstrating strong industry engagement in medical device commercialization. His academic foundation includes: Ph.D. in Biomedical Engineering from Western University (2010-2015) Medical Innovation Fellowship at University of Minnesota/Western University (2015-2016) Postdoctoral Fellowship at Sunnybrook Research Institute, University of Toronto (2016-2019) Dr. Tavallaei's research centers on image guided therapy with emphasis on solving unmet clinical needs in minimally invasive interventions. His core focus areas include: Cardiovascular device innovation and evaluation Medical imaging instrumentation for real-time guidance Robotic systems for catheter navigation Mechatronic solutions for therapeutic delivery His work bridges engineering design with clinical translation through preclinical and clinical validation. Recent publications (2023-2026) reveal a concentrated effort in developing next-generation catheter technologies, including steering mechanisms (CathPilot), imaging tools (CathEye, CathCam), and specialized devices for vascular interventions. The research consistently emphasizes performance validation, mechanical characterization, and clinical feasibility across peripheral artery disease, aneurysm repair, and cardiac ablation applications. As director of the Medical Devices and Systems Lab, Dr. Tavallaei leads a translational research program focused on fundamental advances in cardiovascular disease management. The lab's workflow integrates solution design, system verification, preclinical testing, and technology transfer to address global healthcare challenges posed by cardiovascular diseases—the leading cause of death worldwide.

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Juan A. Carreteroمشاهده پروفایل

استاد

University of New BrunswickCanada

Juan Antonio Carretero is Professor and Associate Dean Academic in Mechanical Engineering at the University of New Brunswick. His research focuses on robot kinematics, parallel manipulators, and motion planning, with applications in autonomous systems and mechanical design. He leads projects on reconfigurable robotic platforms and underwater docking systems, supported by multiple grants including SSHRC and McCain Foundation awards. Dr. Carretero has co-authored over 50 publications on mechanism optimization, cable-driven robots, and motion simulation. He teaches courses in robotics and mechanical design while supervising graduate research in kinematics and automation systems.

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Mitchell Rushtonمشاهده پروفایل

استادیار

Ontario Tech UniversityCanada

Dr. Mitchell Rushton is an Assistant Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology, part of the Faculty of Engineering and Applied Science. His expertise lies in robotics, vibration control, and cable-driven parallel robots. He holds a PhD in Mechanical and Mechatronics Engineering from the University of Waterloo (2022), along with a MASc (2016), BASc (2013), and a Certificate in University Teaching (2020). Education: PhD, Mechanical and Mechatronics Engineering, University of Waterloo (2022) Certificate in University Teaching, University of Waterloo (2020) MASc, Mechanical and Mechatronics Engineering, University of Waterloo (2016) BASc, Mechatronics Engineering, University of Waterloo (2013) Research Interests: Dr. Rushton focuses on advancing robotics and mechatronics systems, particularly in cable-driven parallel robots, vibration control mechanisms, and continuum robotics. His work addresses challenges in dynamic stabilization, obstacle avoidance, and efficient actuator design. Recent research includes innovative solutions for vibration regulation and adaptive control in robotic systems. Publications: His research spans theoretical and applied robotics, with a focus on vibration control and cable-driven systems. Key contributions include studies on configuration-space modeling, reaction-based stabilization, and hybrid robotic architectures. Awards: No scientific awards explicitly mentioned. Advising & Grants: No listed advisees or grants. His work is primarily driven by academic research collaborations and institutional support. Labs/Teams: While specific lab affiliations are not detailed in the text, his research aligns with the broader automotive and mechatronics engineering initiatives at the University of Ontario Institute of Technology.

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Steven Beitesمشاهده پروفایل

استاد

Laurentian UniversityCanada

Steven Beites is a tenured Professor at Laurentian University's McEwen School of Architecture, where he directs the Institute for Northern Housing Innovation and serves as Graduate Coordinator. He holds a Master of Architecture from the University of Toronto, a Master of Science in Digital and Material Technologies from the University of Michigan, and is a Ph.D. candidate at the European Graduate School in Switzerland. Previously, he taught at Toronto Metropolitan University and the University of Waterloo, with visiting appointments at Harvard’s Graduate School of Design. His research integrates robotics, material science, and bio-based materials to transform affordable housing in Northern Ontario, focusing on decarbonization, automated construction, and sustainable design. Key themes include: Robotic fabrication for in-situ construction Low-carbon bio-material assemblies Cable-driven parallel robot (CDPR) systems Community-driven design-build frameworks Publications emphasize robotic construction (68% of recent works), material innovation (21%), and pedagogical/community design (11%), with consistent focus on practical applications for housing affordability. Significant awards include: Voyageur Innovation Challenge 2025 (1st Place) Kathryne Kril-Atkins Innovation Fellowship National Award of Excellence from Canadian Society of Landscape Architects Azure Magazine’s Social Good AZ Award Over 15 national/international competition wins including Postmark Hotel (2024) and Venice Biennale exhibitions He secured $1.75M+ in grants (SSHRC, NFRF) establishing the Institute for Northern Housing Innovation, and advises the Ontario government on modular housing policy through the Council of Ontario Universities.

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Xavier Garantمشاهده پروفایل

استادیار

University of SherbrookeCanada

Xavier Garant is an Assistant Professor at Université de Sherbrooke's Mechanical Engineering department. His research focuses on robotics and automation, particularly in physical human-robot interaction, flexible robots, and impedance control. He holds a PhD in Mechanical Engineering (2024) and a Master's degree (2019) from Université Laval, where he also earned his B.Eng. (2017). Past Affiliation: Université Laval (PhD, Master's, Bachelor's) Research Focus: Flexible robots, Non-collocated sensing, Human-robot interaction His recent work explores decoupling proprioception and actuation in robotic manipulators to overcome high stiffness requirements. His publications in IEEE/ASME Transactions on Mechatronics and IEEE Robotics and Automation Letters highlight advancements in lightweight robot design and control strategies. Notable awards include: CSME Gold Medal (2025) Université Laval Thesis of the Year (2024) Two-time Faculty of Graduate Studies Honour Roll recipient (2024, 2019) SAE Americas Fuel Efficiency Record (2017) Garant has secured multiple grants totaling over CAD$2M, including NSERC Discovery Grants and start-up funds from Université de Sherbrooke. He has presented at prestigious conferences like ICRA@40 and collaborated internationally at DLR (Germany) through FRQNT-funded internships.

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William Melekمشاهده پروفایل

استاد

University of WaterlooCanada

William Melek is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He serves as Director of the Laboratory of Computational Intelligence and Automation and RoboHub. His research focuses on intelligent systems, modular robotics, autonomous vehicles, and bioinformatics. He holds a B.A.Sc. in Electrical & Computer Engineering (Zagazig University, 1994), M.Sc. and Ph.D. in Mechanical Engineering (University of Toronto, 1998/2002), and a Post-Doctorate in Computer Science (Ryerson University, 2004). Education: Bachelor's: B.A.Sc in Electrical & Computer Engineering, Zagazig University (1994) Master's: Mechanical Engineering, University of Toronto (1998) Doctorate: Mechanical Engineering, University of Toronto (2002) Post-Doctorate: Computer Science, Ryerson University (2004) His research interests span artificial intelligence, intelligent control, mechatronics, automotive design, and computational intelligence. Recent work includes autonomous vehicle navigation, predictive maintenance in manufacturing, and bioinformatics-driven clinical decision support systems. He teaches courses such as ME 360 (Control Systems), ME 780 (Mechatronics), and MTE 100 (Intro to Mechatronics). Articles from 2023–2025 highlight advancements in autonomous driving decision-making, modular robotics, and 5G-enabled teleoperation systems. His lab develops algorithms for urban autonomous systems and industrial automation. He currently oversees graduate student applications in mechatronics and robotics. Labs/Teams: Laboratory of Computational Intelligence and Automation, RoboHub.

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Hamid D. Taghiradمشاهده پروفایل

استاد

Laval UniversityCanada

Hamid D. Taghirad is Professor and Director of the Advanced Robotics and Automated Systems (ARAS) laboratory in the Department of Systems and Control, Faculty of Electrical Engineering at K. N. Toosi University of Technology, Tehran, Iran. He concurrently serves as Visiting Professor at the University of Alberta. A senior IEEE member, he holds editorial roles in four robotics journals and has published 6 books and over 300 papers. Education: Ph.D. Electrical Engineering (McGill University, 1997) M.Sc. Mechanical Engineering - Mechatronics (McGill University, 1993) B.Sc. Mechanical Engineering (Sharif University of Technology, 1989) Research interests span: Robust/Nonlinear Control Systems Medical Robotics & Surgical Training Cable-Driven & Parallel Manipulators AI/VR for Medical Applications Industrial Automation & Inspection Robotics His ARAS lab developed the Kamalolmol® cable robot for artistic applications and commercial inspection tools. He received numerous awards including: Best Teaching Professor (2010, 2013, 2016) Research Award for Published Books (2014) PBEEE Quebec Visiting Scientist Award (2005) Prestigious McGill fellowships (Top 5% university-wide) He secured 15+ industrial grants (~$2M total) for projects like: Haptic eye surgery trainer ($255K) Pipeline inspection robots ($310K) Driverless car perception ($175K) Automatic casting systems ($320K) and has supervised ~200 graduate theses. He directs the ARAS lab focusing on cable robots, medical robotics, and industrial automation, with projects ranging from driverless vehicles to surgical training systems.

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