Graduate Research
Additive manufacturing qualification
Computer vision metrology
Variance decomposition
Machine learning predictions
Internal feature inspection
Defect detection
Additive Manufacturing Quality - King and Tawfick Labs
- Developed methods for scalable dimensional measurements and quality assessment of additively manufactured parts using computer vision, machine learning, and statistics
- Developed automated analysis frameworks for inspecting complex, 3D parts, especially those with internal features that are not measurable using traditional techniques
- Investigated additive manufacturing processes and materials using X-ray computed tomography (CT), variable focus microscopy (VFM), and optical images
- Investigated mechanical properties and manufacturability of additively manufactured lattices
- Developed a Python package for computer vision metrology in manufacturing (open-source pip install release coming soon)
- Simulated lattice compression testing in ABAQUS to validate lattice material models and experimental results
Undergraduate Research
Biomedical Imaging - Barton Lab
- Designed mechanical system of micro-piezoelectric OCT/MPM endoscope for early-stage cancer detection
- Derived and experimentally verified resonant frequencies and shapes for a base excited, cantilevered beam with added tip mass
- Invented and manufactured custom surgical accessories for rodent analgesic delivery using AM and SolidWorks