Rate My Professor Vladimir Shapiro

Vladimir Shapiro is an Assistant Teaching Professor in the College of Professional Studies at Northeastern University. He holds a PhD from the Technical University of Sofia, Bulgaria. Shapiro's research focuses on data science, machine learning, computer vision, and AI. He is affiliated with the Bachelor of Science in Analytics program and serves as a contact for faculty positions in analytics. Shapiro represents the College of Professional Studies on the Northeastern University Faculty Senate for the 2025-2026 term.

Shapiro has published extensively on image processing, pattern recognition, and related technologies. Key publications include "Towards a multinational car license plate recognition system" with G. Gluhchev and D. Dimov in Machine Vision and Applications (2006, 142 citations); "Operatorless particle processing systems and methods" US Patent 9,964,968 with J.C. Sharpe et al. (2018, 104 citations); "Handwritten document image segmentation and analysis" with G. Gluhchev and V. Sgurev in Pattern Recognition Letters (1993, 83 citations); "Adaptive license plate image extraction" with V.A. Shapiro et al. in CompSysTech (2004, 81 citations); "Multinational license plate recognition system: Segmentation and classification" with G. Gluhchev in Proceedings of the 17th International Conference on Pattern Recognition (2004, 77 citations); "Accuracy of the straight line Hough Transform: The non-voting approach" in Computer Vision and Image Understanding (2006, 46 citations); "On the Hough transform of multi-level pictures" in Pattern Recognition (1996, 32 citations); "Approach to automatic analysis of Young’s fringes in speckle photography" with V.A. Shapiro et al. in Applied Optics (1993, 26 citations); and "An adaptive method for image thresholding" with V.A. Shapiro et al. in Proceedings of the 11th IAPR International Conference on Pattern Recognition (1992, 21 citations). Additionally, he co-authored US Patent 11,468,538 for "SEGMENTATION AND PREDICTION OF LOW-LEVEL TEMPORAL PLUME PATTERNS" (2022, 17 citations). In 2025, Shapiro published "An AI-Inspired Approach to Student Performance Assessment" presented at The Paris Conference on Education.