جستجوی استاد راهنمای دانشگاهی

Milad Nazarahari serves as an Assistant Professor in the Department of Mechanical Engineering at the University of Alberta's Faculty of Engineering. His research integrates intelligent systems with biomedical applications, focusing on healthcare innovation through engineering solutions. His academic credentials include: AMTD Waterloo Global Talent Postdoctoral Fellowship, University of Waterloo (2022) PhD in Mechanical Engineering, University of Alberta (2021) MSc in Mechanical Engineering, Iran University of Science & Technology (2014) BSc in Mechanical Engineering, Iran University of Science & Technology (2012) Dr. Nazarahari's research spans biomechanics, neural control systems, and computational intelligence. He develops wearable rehabilitation technologies and tele-health assessment tools using AI-driven optimization algorithms. His work bridges human movement analysis with robotic systems to address post-impairment rehabilitation challenges, primarily conducted through the IDEA Lab which he directs. His distinguished awards comprise: AMTD Waterloo Global Talent Postdoctoral Fellowship (2021) Honorary Izaak Walton Killam Memorial Scholarship (2019) Vanier Canada Graduate Scholarship (2018) Alberta Innovates Graduate Student Scholarship (2017) Dr. Nazarahari actively mentors graduate researchers at the IDEA Lab and teaches core engineering courses including Thermo-Fluid Sciences, Engineering Mechanics, and Applied Computational Intelligence. His pedagogy emphasizes translating research innovations into practical engineering education, with upcoming courses scheduled through Winter Term 2026.

• Intelligent Autonomous Systems
• Robotic Rehabilitation
• Wearable Technologies
• +۱۶ مورد دیگر

Dr. Mohammad Shushtari is an Assistant Professor in the Department of Mechanical, Industrial and Mechatronics Engineering at Toronto Metropolitan University. He maintains collaborative affiliations with the Toronto Rehabilitation Institute (Kite) and Harvard University's John A. Paulson School of Engineering and Applied Sciences. Education: 2024: PhD, University of Waterloo 2016: MSc, University of Tehran Research Expertise: Dr. Shushtari pioneers AI-driven wearable robotics for rehabilitation and human augmentation. His work spans clinical neurorehabilitation (Parkinson's, spinal injuries), elderly mobility enhancement, and industrial worker augmentation. Core technical domains include: Assistive prosthetics and exosuit design Human-robot symbiotic interaction Reinforcement learning for adaptive control Sensor fusion and neuromechanical modeling Awards & Recognition: NSERC Postdoctoral Fellowship Mitacs Accelerate Fellowship Research Leadership: Directs the Symbiotic Robotics Lab (SymBioRobotX) developing portable rehabilitation systems and validating clinical interventions. Current projects include low-cost balance therapy devices and adaptive FES techniques for spinal injuries. Student Supervision: Actively advises graduate students in robotics/AI, with industry-applicable research bridging academic and practical engineering domains.

• Assistive Robotics and Prosthetics
• Human-Robot Interaction
• Bipedal Robots
• +۷ مورد دیگر

Abolfazl Mohebbi is an Associate Professor in the Department of Mechanical Engineering at Polytechnique Montréal. He directs the Polytechnique Laboratory for Assistive and Rehabilitation Technologies (POLAR) and holds the TransMedTech Research Chair in Assistive and Rehabilitation Technologies. His academic appointments also include Adjunct Professor at McGill University's Department of Biomedical Engineering and membership in numerous research networks including REPAR, FRQNT INTER cluster, Pediatric Rehabilitation Technology Park, and several biomedical engineering institutes. Professor Mohebbi's research focuses on robotics, control systems, and applied artificial intelligence with applications in biomedical engineering. His laboratory develops innovative robotic and biomechatronic technologies to help humans relearn, restore, or enhance their neuromotor performance. Specific research areas include human balance control modeling, joint neuromechanics, deep learning for medical diagnosis, sensory restoration in prosthetic users, custom exoskeleton design, and robotic rehabilitation systems. His recent publications (2022-2025) show a strong focus on rehabilitation robotics, with significant contributions to exoskeleton control, prosthetic feedback systems, neuromuscular modeling, and AI applications in medical diagnostics. The research demonstrates interdisciplinary collaboration across engineering, neuroscience, and clinical rehabilitation. Professor Mohebbi has received research funding from various organizations including NSERC, as evidenced by multiple grants awarded to Polytechnique Montréal researchers. His work demonstrates strong connections between academic research and clinical applications in rehabilitation engineering. He teaches courses in dynamic systems analysis, mechatronics, and dynamic measurement at Polytechnique Montréal and has supervised five graduate students to completion (one PhD and four Master's students) with research topics directly aligned with his laboratory's focus areas.

• Robotics
• Control systems
• Applied Artificial Intelligence
• +۱۰ مورد دیگر

Dr. Alex Mouapi is a Lecturer in the Department of Electrical Engineering at Polytechnique Montréal, specializing in energy harvesting systems for wireless communications and IoT. His research bridges theoretical frameworks with industrial applications, particularly in autonomous sensor networks. Education Ph.D. in Engineering, Université du Québec à Chicoutimi (UQAC)/Université du Québec en Abitibi-Témiscamingue (UQAT) M.Sc. in Engineering, Université du Québec en Abitibi-Témiscamingue (UQAT) Master in Physics (Electronics), University of Dschang, Cameroon B.Sc. in Physics, University of Dschang, Cameroon Diploma in Technical Education (Electrotechnics), University of Douala, Cameroon Research Focus Dr. Mouapi's research centers on sustainable energy solutions for wireless devices. Key areas include: Energy Harvesting Systems: RF and piezoelectric microgenerators for self-powered sensors Circuit Design: Optimization of voltage doublers, rectifiers, and power management circuits Industrial IoT: Applications in mining, manufacturing, and infrastructure monitoring Predictive Algorithms: Energy forecasting and allocation for network efficiency Publication Trends His 33 publications demonstrate consistent focus on energy autonomy for industrial sensors. Recent works (2020-2022) emphasize RF harvesting circuit optimization and IoT integration, with theoretical contributions in efficiency modeling and practical validations through industrial case studies. Laboratory & Collaborations While no dedicated lab is specified, his research involves simulations and prototyping for energy systems. Collaborations include industrial partners in mining and manufacturing sectors.

• Energy Harvesting
• Wireless Sensor Networks
• RF Circuit Design
• +۳ مورد دیگر