Summary / Notes

Engr. Sheza Tahir is a Lecturer in the Department of Biomedical Engineering with expertise in AI in Healthcare, Robotics, and Human–Computer Interaction. She holds an MS in Robotics and AI, specializing in intelligent healthcare systems, physiological signal analysis, and virtual reality–based biomedical applications. Her current research examines the use of virtual reality for mental stress management using ECG and EEG signals. She has supervised projects including an interactive 6-DOF robotic arm for kinematics learning and an AI-enhanced thermal imaging system for non-invasive breast cancer detection (Distinction). She has contributed to national initiatives, including the HEC-funded “Development of Multi-function Patient Monitors” and the PSF-funded “Development of Indigenous ICU Ventilators” during the COVID-19 pandemic. She is a multiple award recipient for research presentations and project pitches, including Winner at Research Gala IIMC 2022 and Pitch & Develop 2022. She actively advances Outcome-Based Education (OBE) in her department, emphasizing measurable learning outcomes, structured assessment design, and problem-based learning to strengthen student competency and industry readiness.