Waidah Ismail
Papers
2
Total Citations
20
H-Index
2
About
Dr. Waidah Ismail is a leading researcher at the intersection of rehabilitation engineering and artificial intelligence, with a primary focus on advancing assistive technologies for stroke recovery. Her most impactful work investigates the potential of robotic devices for upper limb rehabilitation, a critical area for restoring functional independence in stroke survivors. In her highly cited 2017 study, she systematically explored emerging research trends in robotic rehabilitation, highlighting how these devices offer superior consistency and reliability for repetitive motor training compared to traditional therapy. Dr. Ismail further extends her expertise into computer vision and deep learning, as demonstrated by her 2019 work on gesture correctness estimation. By integrating Deep Neural Networks with Rough Path Descriptors, she developed novel methods for automatically analyzing and evaluating human motion from video sequences. This dual focus—bridging clinical rehabilitation needs with cutting-edge computational techniques—positions Dr. Ismail as a key figure in developing intelligent, data-driven solutions for motor function recovery, with her foundational papers garnering significant attention in the growing field of human-robot interaction for healthcare.
Research Focus
Key Achievements
Top Papers
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