Vladimir Shapiro, Ph.D.

PRINCIPAL AI/COMPUTER VISION DATA SCIENTIST; EXPERIENCED SOFTWARE (PYTHON, C/C++, R) DEVELOPER; ADJUNCT UNIVERSITY PROFESSOR

Boston, Massachusetts, United States of America

Research Interests

Computer Vision and Pattern Recognition
Hardware and Architecture
Computer Science Applications
Software
Signal Processing
Artificial Intelligence
Computer Graphics and Computer-Aided Design
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Mechanical Engineering
Mechanics of Materials
Horticulture
Management, Monitoring, Policy and Law
Geography, Planning and Development
Bioengineering

About

• Expertise in image and video processing, machine vision, machine learning, digital signal processing, deep learning and pattern recognition algorithm development. • Expertise of production quality C/C++, Python language implementation including for real-time and multiple including embedded platforms. • Experience of working for start-ups and global companies. • Over 50 scientific publications and patents. Specialties: AI, image/video processing, computer vision, machine vision, deep learning, pattern recognition, machine learning, data science, software engineering, embedded software, real-time systems, motor control, Python, C/C++, R and MATLAB programming, software development, object oriented, Linux, Windows, algorithms, Agile development.

Publications

Towards a Multinational Car License Plate Recognition System

Machine Vision and Applications / May 25, 2006

Shapiro, V., Gluhchev, G., & Dimov, D. (2006). Towards a Multinational Car License Plate Recognition System. Machine Vision and Applications, 17(3), 173–183. https://doi.org/10.1007/s00138-006-0023-5

Handwritten document image segmentation and analysis

Pattern Recognition Letters / Jan 01, 1993

Shapiro, V., Gluhchev, G., & Sgurev, V. (1993). Handwritten document image segmentation and analysis. Pattern Recognition Letters, 14(1), 71–78. https://doi.org/10.1016/0167-8655(93)90134-y

Adaptive license plate image extraction

Proceedings of the 5th international conference on Computer systems and technologies - CompSysTech '04 / Jan 01, 2004

Shapiro, V., Dimov, D., Bonchev, S., Velichkov, V., & Gluhchev, G. (2004). Adaptive license plate image extraction. Proceedings of the 5th International Conference on Computer Systems and Technologies - CompSysTech ’04. https://doi.org/10.1145/1050330.1050364

Multinational license plate recognition system: segmentation and classification

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. / Jan 01, 2004

Shapiro, V., & Gluhchev, G. (2004). Multinational license plate recognition system: segmentation and classification. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. https://doi.org/10.1109/icpr.2004.1333775

Information for Contributors to PEDOSPHERE

Pedosphere / Dec 01, 2018

Information for Contributors to PEDOSPHERE. (2018). Pedosphere, 28(6), 964–968. https://doi.org/10.1016/s1002-0160(18)30009-2

Accuracy of the straight line Hough Transform: The non-voting approach

Computer Vision and Image Understanding / Jul 01, 2006

Shapiro, V. (2006). Accuracy of the straight line Hough Transform: The non-voting approach. Computer Vision and Image Understanding, 103(1), 1–21. https://doi.org/10.1016/j.cviu.2006.02.001

On the hough transform of multi-level pictures

Pattern Recognition / Apr 01, 1996

A. Shapiro, V. (1996). On the hough transform of multi-level pictures. Pattern Recognition, 29(4), 589–602. https://doi.org/10.1016/0031-3203(95)00116-6

Approach to automatic analysis of Young’s fringes in speckle photography

Applied Optics / Aug 10, 1993

Shapiro, V. A., Kavardjikov, V. I., & Atanassov, S. A. (1993). Approach to automatic analysis of Young’s fringes in speckle photography. Applied Optics, 32(23), 4378. https://doi.org/10.1364/ao.32.004378

Real-time Hough/Radon transform: algorithm and architectures

Proceedings of 1st International Conference on Image Processing

Shapiro, V. A., & Ivanov, V. H. (n.d.). Real-time Hough/Radon transform: algorithm and architectures. Proceedings of 1st International Conference on Image Processing. https://doi.org/10.1109/icip.1994.413813

An adaptive method for image thresholding

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,

Shapiro, V. A., Veleva, P. K., & Sgurev, V. S. (n.d.). An adaptive method for image thresholding. Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,. https://doi.org/10.1109/icpr.1992.202082

On the reconstructive matching of multidimensional objects

IEEE Transactions on Image Processing / Apr 01, 1996

Shapiro, V. A. (1996). On the reconstructive matching of multidimensional objects. IEEE Transactions on Image Processing, 5(4), 653–661. https://doi.org/10.1109/83.491342

Static and Dynamic Errors in the Frequency Domain

Operational Amplifiers / Jan 01, 1993

Static and Dynamic Errors in the Frequency Domain. (1993). In Operational Amplifiers (pp. 155–187). Elsevier. https://doi.org/10.1016/b978-0-7506-9317-2.50010-x

Super-resolution Capabilities of the Hough-Green Transform

Computer Analysis of Images and Patterns / Jan 01, 2003

Shapiro, V. (2003). Super-resolution Capabilities of the Hough-Green Transform. In Lecture Notes in Computer Science (pp. 673–680). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_82

Automatic Young's fringe analysis in the source image plane

Optics and Lasers in Engineering / Jan 01, 1993

Shapiro, V., Goutev, D., & Kavardjikov, V. (1993). Automatic Young’s fringe analysis in the source image plane. Optics and Lasers in Engineering, 18(4), 307–324. https://doi.org/10.1016/0143-8166(93)90058-s

Homotopy-based computation of defocus blur and affine transform

2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.

Deschenes, F., & Ziou, D. (n.d.). Homotopy-based computation of defocus blur and affine transform. 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. https://doi.org/10.1109/cvpr.2003.1211381

Patent Thicket

Definitions / Jul 28, 2020

Shapiro, C. (2020). Patent Thicket. In Definitions. Qeios. https://doi.org/10.32388/6pwx9w

<title>Fast and precise angular projection evaluation (Hough-Green transform)</title>

SPIE Proceedings / Apr 19, 2004

Shapiro, V. (2004). &lt;title&gt;Fast and precise angular projection evaluation (Hough-Green transform)&lt;/title&gt; In L. J. Latecki, D. M. Mount, & A. Y. Wu (Eds.), Vision Geometry XII. SPIE. https://doi.org/10.1117/12.526576

Fringe-pattern recognition by using the polar-coordinate transform

Experimental Mechanics / Dec 01, 1995

Shapiro, V. (1995). Fringe-pattern recognition by using the polar-coordinate transform. Experimental Mechanics, 35(4), 322–328. https://doi.org/10.1007/bf02317541

A MOBILE SYSTEM FOR MEASURING SPRAY COVERAGE - BG1

Acta Horticulturae / Nov 01, 2001

Manor, G., & Shapiro, V. (2001). A MOBILE SYSTEM FOR MEASURING SPRAY COVERAGE - BG1. Acta Horticulturae, 562, 377–383. https://doi.org/10.17660/actahortic.2001.562.44

Cross-correlation with reconstruction: A new approach to pattern matching

Computer Analysis of Images and Patterns / Jan 01, 1993

Shapiro, V. (1993). Cross-correlation with reconstruction: A new approach to pattern matching. In Lecture Notes in Computer Science (pp. 548–555). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-57233-3_73

Where’s Your Head At? Exploring Role Transitions among Remote Workers

Academy of Management Proceedings / Aug 01, 2023

Wiese, C., Dhanani, L., Hunter, M., & Li, Y. (2023). Where’s Your Head At? Exploring Role Transitions among Remote Workers. Academy of Management Proceedings, 2023(1). https://doi.org/10.5465/amproc.2023.18000abstract

Importing assets and setting up the project

Change iOS App Icons Programmatically in Xcode / Jan 01, 2022

Radev, T. (2022). Importing assets and setting up the project. In Change iOS App Icons Programmatically in Xcode. Apress. https://doi.org/10.1007/978-1-4842-8598-5_1

COVID-19 Sex-Age Mortality Modeling - A Use Case of Risk-Based Vaccine Prioritization

Jun 01, 2021

Shapiro, V. (2021). COVID-19 Sex-Age Mortality Modeling - A Use Case of Risk-Based Vaccine Prioritization. https://doi.org/10.31235/osf.io/5c8bd

COVID-19 Outbreaks and Age Mortality Patterns

Dec 21, 2020

Shapiro, V. (2020). COVID-19 Outbreaks and Age Mortality Patterns. https://doi.org/10.21203/rs.3.rs-113791/v2

COVID-19 Outbreaks and Age Mortality Patterns

Nov 24, 2020

Shapiro, V. (2020). COVID-19 Outbreaks and Age Mortality Patterns. https://doi.org/10.21203/rs.3.rs-113791/v1

A fast iris localization using inversion transform and restricted circular Hough transform

2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR) / Jan 01, 2015

Umer, S., & Dhara, B. C. (2015, January). A fast iris localization using inversion transform and restricted circular Hough transform. 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR). https://doi.org/10.1109/icapr.2015.7050667

Motion analysis via interframe point correspondence establishment

Image and Vision Computing / Mar 01, 1995

Shapiro, V., Backalov, I., & Kavardjikov, V. (1995). Motion analysis via interframe point correspondence establishment. Image and Vision Computing, 13(2), 111–118. https://doi.org/10.1016/0262-8856(95)93152-i

A fast indirect backprojection algorithm

Proceedings of 1st International Conference on Image Processing

Shapiro, V. A. (n.d.). A fast indirect backprojection algorithm. Proceedings of 1st International Conference on Image Processing. https://doi.org/10.1109/icip.1994.413551

Developing a Quality Control System in a Continuous Hot Air Heating Process in Surimi Seafood Processing Using Image Analysis and Artificial Intelligence

Processes / Nov 08, 2023

Yoon, W. B., An, S., Oyinloye, T. M., & Kim, J. (2023). Developing a Quality Control System in a Continuous Hot Air Heating Process in Surimi Seafood Processing Using Image Analysis and Artificial Intelligence. Processes, 11(11), 3187. https://doi.org/10.3390/pr11113187

A System to Inspect Corrosion Under Insulation via Temporal Thermography & Artificial Intelligence

Day 2 Tue, November 01, 2022 / Oct 31, 2022

Al-Jarro, A., Alshehri, A., Amer, A., Althobaiti, A., Saiari, H., Alsalman, F., Albaqshi, M., Chan, G., Kakpovbia, A., Kairiukstis, E., Odisio, M., Qian, W., Roy, A., Saad, B., & Shapiro, V. (2022, October 31). A System to Inspect Corrosion Under Insulation via Temporal Thermography &amp; Artificial Intelligence. Day 2 Tue, November 01, 2022. https://doi.org/10.2118/211124-ms

A System to Inspect Corrosion Under Insulation via Temporal Thermography & Artificial Intelligence

Day 2 Tue, November 01, 2022 / Oct 31, 2022

Al-Jarro, A., Alshehri, A., Amer, A., Althobaiti, A., Saiari, H., Alsalman, F., Albaqshi, M., Chan, G., Kakpovbia, A., Kairiukstis, E., Odisio, M., Qian, W., Roy, A., Saad, B., & Shapiro, V. (2022, October 31). A System to Inspect Corrosion Under Insulation via Temporal Thermography &amp; Artificial Intelligence. Day 2 Tue, November 01, 2022. https://doi.org/10.2118/211124-ms

Segmentation of Low-Level Temporal Plume Patterns From IR Video

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) / Jun 01, 2019

Bhatt, R., Uzunbas, M. G., Hoang, T., & Whiting, O. C. (2019, June). Segmentation of Low-Level Temporal Plume Patterns From IR Video. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/cvprw.2019.00113

How to Reduce the Size of Bank Check Image Archive?

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) / Sep 01, 2007

Shapiro, V. (2007, September). How to Reduce the Size of Bank Check Image Archive? Ninth International Conference on Document Analysis and Recognition (ICDAR 2007). https://doi.org/10.1109/icdar.2007.4378693

A new framework for real-time Hough transform

SPIE Proceedings / May 18, 2004

Shapiro, V. A. (2004). A new framework for real-time Hough transform. In N. Kehtarnavaz & P. A. Laplante (Eds.), Real-Time Imaging VIII. SPIE. https://doi.org/10.1117/12.526447

Middle Section Meeting; The Minneapolis Hilton & Towers, Minneapolis, Minnesota; January 23‐25, 1998; George L. Adams, MD,* Minneapolis, MN, Vice President; Myles A. Pensak, MD,* Cincinnati, OH, Section Secretary

The Laryngoscope / Nov 01, 1997

Middle Section Meeting; The Minneapolis Hilton &amp; Towers, Minneapolis, Minnesota; January 23‐25, 1998; George L. Adams, MD,* Minneapolis, MN, Vice President; Myles A. Pensak, MD,* Cincinnati, OH, Section Secretary. (1997). The Laryngoscope, 107(11), 1569–1573. Portico. https://doi.org/10.1097/00005537-199711000-00028

Fast recognition of Young's fringe images via the indirect radon transform

1994 Conference on Lasers and Electro-Optics Europe / Jan 01, 1994

Shapiro, V. A., & Kavardjikov, V. I. (1994). Fast recognition of Young’s fringe images via the indirect radon transform. 1994 Conference on Lasers and Electro-Optics Europe. https://doi.org/10.1364/cleo_europe.1994.cthi49

Particle tracking through elastic matching

16th Congress of the International Commission for Optics: Optics as a Key to High Technology / Jul 23, 1993

Shapiro, V. (1993, July 23). Particle tracking through elastic matching. 16th Congress of the International Commission for Optics: Optics as a Key to High Technology. https://doi.org/10.1117/12.2308834

Les requêtes d’opposition devant le parlement de Paris : deux études de cas (1519-1523)

La Prise de décision en France (1525-1559) / Jan 01, 2008

Daubresse, S. (2008). Les requêtes d’opposition devant le parlement de Paris : deux études de cas (1519-1523). In La Prise de décision en France (1525-1559) (pp. 109–122). Publications de l’École nationale des chartes. https://doi.org/10.4000/books.enc.853

Education

Technical University of Sofia

Electrical & Computer Engineering / January, 1991

Sofia

Experience

Northeastern University

Adjunct Professor / September, 2019Present

Developed and taught numerous courses in AI, Machine Learning, Statistics, Programming, etc., at the graduate and undergraduate levels

Avitas Systems (Baker Hughes from 2019, General Electric Venture from 2016),

Principal Computer Vision Data Scientist / November, 2016May, 2023

● Research, prototyping, designing, and efficiently implementing image and video analytics algorithms with Deep Learning frameworks, e.g., TensorFlow/Keras. ● Agile development in Python, C++, in Linux, including on Amazon AWS. ● Design of the Machine Learning pipelines and workflows, including the entire dataset and model lifecycle. Management of the data annotation and curation operation, including directing the team.

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