School of Engineering

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  • Alaa Eldin Abdelaal

    Alaa Eldin Abdelaal

    Postdoctoral Scholar, Mechanical Engineering

    BioAlaa Eldin Abdelaal is a postdoctoral scholar at the Collaborative Haptics and Robotics in Medicine Lab at Stanford University, working with Prof. Allison Okamura and Prof. Jeannette Bohg. He received his PhD in Electrical and Computer Engineering from the University of British Columbia (UBC) in December 2022. He was also a visiting graduate scholar at the Computational Interaction and Robotics Lab at Johns Hopkins University. During his PhD, he was co-advised by Prof. Tim Salcudean and Prof. Gregory Hager. He holds a M.Sc. in Computing Science from Simon Fraser University and a B.Sc. in Computer and Systems Engineering from Mansoura University in Egypt. His research interests are at the intersection of automation and human-robot interaction for human skill augmentation and decision support with application to surgical robotics. His research has been recognized with the Best Bench-to-Bedside Paper Award at the International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) 2019. His research has been funded by a Vanier Canada Graduate Scholarship, an NSERC Postdoctoral Fellowship, Intuitive Surgical Inc., and the Institute for Human-Centered Artificial Intelligence (HAI) at Stanford University.

  • Rachel Adenekan

    Rachel Adenekan

    Postdoctoral Scholar, Mechanical Engineering

    BioI am passionate about working at the interface of medicine and engineering to develop novel technologies that enable and encourage humans to live healthier lives. During my time at Stanford, I have built and led collaborations between engineers and clinicians, and have led research design, execution, and analysis for the development of multiple mobile health technologies. Currently, I am developing and deploying a high-resolution, reproducible, and accessible (to clinicians and patients) screening method for diabetic peripheral neuropathy (DPN) using a smartphone which can identify individuals at risk for DPN prior to overt clinical manifestation and at a potentially reversible stage. Previously, I developed methods of controlling wearable robotic devices (exoskeletons) to enhance balance ability in older adults.