Khushboo Danish

Biomedical Engineer and Researcher specializing in AI, Advanced Robotics, and Medical XR. Top-tier Erasmus+ Scholar and academic Silver Medalist with a perfect 4.00 MSc CGPA and multiple peer-reviewed neuroimaging/sEMG publications. Proven expertise in engineering 7-DOF robotic rehabilitation workflows, real-time digital twins, and Meta Quest 3 training modules. Translates complex multimodal biosignal data into intelligent healthcare applications while driving academic excellence.

Researcher – BIOMED 5.0 (Erasmus+) - Dept. of Biomedical Engineering, MUET, Jamshoro - Jamshoro, Pakistan

(2026-05)

• Robotics & Biomedical Rehabilitation: Engineered advanced rehabilitation workflows utilizing a JetCobot 7-DOF Robotic Arm; implemented custom kinematics, trajectory planning, and motion-tracking control algorithms to ensure safe, precise human-robot interaction (HRI).
• Embedded Computing & Digital Twins: Designed and deployed an embedded Raspberry Pi 4 architecture to power a real-time digital twin system, synchronizing physical robot telemetry with virtual 3D assets to enable low-latency remote monitoring and control loops.
• Medical XR (Extended Reality) Simulation: Architected high-fidelity medical training modules for the Meta Quest 3 VR headset by deploying the Meta OpenXR SDK within immersive development environments, programming interactive spatial UI systems to translate complex clinical protocols.
• Advanced Manufacturing & Precision Fabrication: Produced functional, high-precision engineering prototypes utilizing industrial Creality K1 Max (FDM) and Phrozen Sonic Mighty Revo 14K (Resin) 3D printers; conducted rigorous calibration, resolving complex thermal, extrusion, and bed-leveling anomalies.
• Reverse Engineering & Processing: Executed data-acquisition workflows using an Einstar Shining 3D Scanner for detailed mesh reconstruction and CAD design optimization before managing high-precision cutting operations on CNC plotters and laser engravers.
• Academic Leadership & Content Development: Formulated and delivered undergraduate lectures and hands-on laboratory experiments focused on AI for Medical Diagnosis, ensemble learning architectures, and generative AI systems to enhance department curriculum benchmarks.

Graduate Researcher - Ziauddin University, Karachi - Karachi, Pakistan

(2024-05 - 2025-05)

• Developed custom Machine Learning pipelines in MATLAB for predictive diagnostics of early-stage cognitive impairments utilizing structural brain MRI scans.
• Modeled complex neuromuscular coordination and degradation patterns through multimodal data integration and Explainable AI (XAI) frameworks (Grad-CAM, SHAP, LIME) to derive interpretable biomarkers.
• Orchestrated a clinical research trial involving 15 human participants to precisely acquire and log raw sEMG signals across 5 unique arm positions and 4 distinct hand postures.

Research Assistant - National Medical Center, Karachi - Karachi, Pakistan

(2024-06 - 2024-12)

• Gained robust clinical exposure with advanced healthcare imaging modalities, analyzing structural outputs from MRI, CT, Ultrasound, Echocardiogram, and PET scanners.
• Curated and maintained a verified, anonymous repository of brain MRI scans spanning a diverse clinical patient demographic (ages 4 to 80) for targeted neuro-diagnostic research frameworks.

M.Sc. - Biomedical Engineering - Ziauddin University, Karachi (2024-01 - 2025-05)

B.E. - Biomedical Engineering - Mehran University of Engineering & Technology (MUET), Jamshoro (2017 - 2021)