Muhammad Ahmed Khan, PhD

Scientific Researcher: Healthcare System Design & Development

Teaching and Supervision Experience

Experience in using modern active learning teaching methodologies, such as the flipped-classroom format, the 5E instructional cycle, problem and project-based learning, group discussions, concept mapping, visual communication techniques, and other related approaches.

Stanford University, USA (As a 'Research Scholar'):

  • Co-supervising 02 PhD students for the following project: Developing penny-size wireless EEG biosensing device for neural applications, including brain activation mapping, sleep monitoring, mental health tracking, seizure detection, etc.
  • Co-supervised 01 Master's Thesis: Development of next-generation robotic stroke rehabilitation system with virtual reality and brain-computer interface paradigm.

Technical University of Denmark, Denmark (As a 'Marie Curie Post-Doctoral Fellow'):

  • Provided teaching assistance for lectures and lab sessions of the following biomedical engineering courses (graduate level): "Applied Signal Processing" and "Design and Development of Brain-Computer Interface Systems for Neurorehabilitation," and "Flexible Electronics for Neural Rehabilitation Application"
  • Co-supervised 01 PhD Project: Developing brain-computer interface (BCI) based robotics-assisted system for post-stroke rehabilitation.
  • Co-supervised 03 Master's Thesis:
    1. Brainy Home: A smart home and wheelchair control application powered by a brain-computer interface.
    2. Developing IoT (Internet of things) based portable motor imagery (MI) - BCI system for upper-limb rehabilitation in post-stroke patients.
    3. A real-time BCI system for multi-class motor imagery classification in stroke rehabilitation.

University of Bolzano, Italy (As a 'Post-Doctoral Fellow'):

  • Co-supervised 02 PhD Projects:
    1. Printed wearable sensors for real-time monitoring of muscular activity.
    2. Smart wearable device for mountain sports and rescue activities.

University of Brescia, Italy (As a 'PhD Researcher'):

  • Worked as a teaching assistant for lectures and lab sessions of the following biomedical engineering courses (undergraduate and graduate level): "Biomedical Electronics and Circuit Designing" and "Biosensor Technology."
  • Co-supervised 02 Master's thesis:
    1. Designing and characterizing ceramics ink for developing pressure sensors via additive technology.
    2. Developing a power harvesting module for force-measuring biosensors for knee implants.