Mushtaq Shaikh

Graduate Research Assistant @Ansys

Raleigh, NC, US

Engineered a high-performance Computer Vision pipeline in Python for Real-Time fiber transformationanalysis in Confocal Rheology.• Utilized advanced techniques such as Centerline Detection, Hauffman Graph Matching, and PrincipalComponent Analysis (PCA) to achieve 98% accuracy in quantifying multi-dimensional fiber deformations.• Implemented image processing workflow in Python and ImageJ, utilizing Morphological Operations (erosion- dilation, skeletonization), coupled with Machine Learning-based fiber segmentation, resulting in a 40% improvement in processing speed for fiber property measurements.• Developed Fiber Tracking system using custom Graph-based algorithms and Multi-Modal curvature analysis(Gradient and Menger methods), achieving sub-micron accuracy (±0.5μm) in 3D structure mapping and Real- time transformation analysis at 30 fps.

North Carolina State University

Master's degree

Sharnbasva University, Kalaburagi

PUC

R. V. College of Engineering, Bangalore

Bachelor of Engineering