RACHEL ADENEKAN
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  • Engineering Experience
    • Research-based Projects >
      • Smartphone-based Clinical Sensory Monitoring
      • Wearable Robotics
      • Biomaterials
    • Machine Learning and Mechatronics Projects
  • Experience Curation
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Machine Learning and Mechatronics Projects

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Predicting the Presence of Bacterial Biofilm, Using Bacterial Drop Colony Assay Images, Convolutional Neural Nets, and Support Vector Machines.
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DropStop, an interactive rehabilitation system for patients with foot drop (won 1st place at the CSNE 2017 Hackathon)
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Assessing Squat Form Using 3D Pose Data, a Convolutional Neural Net, and a Long Short-Term Memory Network.
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Towards a better understanding of the features that impact COVID burden using multivariate linear regression models.
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Lola Rabbot: autonomous robot that communicates with a radio equipped facilitator, navigates a playing field, senses and responds to IR signals, and shoots balls.
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Jurassic World: an interactive installation that provides haptic, audio, and visual feedback.
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Medtronic Internship: optimizing medical device production lines
  • Home
  • About Me
  • Resume
  • Engineering Experience
    • Research-based Projects >
      • Smartphone-based Clinical Sensory Monitoring
      • Wearable Robotics
      • Biomaterials
    • Machine Learning and Mechatronics Projects
  • Experience Curation
  • Outreach
  • Contact