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 Expertise

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.

Legacy Map

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Publications

Towards a Multinational Car License Plate Recognition System
Machine Vision and Applications
2006
Handwritten document image segmentation and analysis
Pattern Recognition Letters
1993
Adaptive license plate image extraction
Proceedings of the 5th international conference on Computer systems and technologies - CompSysTech '04
2004
Multinational license plate recognition system: segmentation and classification
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
2004
Information for Contributors to PEDOSPHERE
Pedosphere
2018
Accuracy of the straight line Hough Transform: The non-voting approach
Computer Vision and Image Understanding
2006
On the hough transform of multi-level pictures
Pattern Recognition
1996
Approach to automatic analysis of Young’s fringes in speckle photography
Applied Optics
1993
Real-time Hough/Radon transform: algorithm and architectures
Proceedings of 1st International Conference on Image Processing
An adaptive method for image thresholding
Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,
On the reconstructive matching of multidimensional objects
IEEE Transactions on Image Processing
1996
Static and Dynamic Errors in the Frequency Domain
Operational Amplifiers
1993
Super-resolution Capabilities of the Hough-Green Transform
Computer Analysis of Images and Patterns
2003
Automatic Young's fringe analysis in the source image plane
Optics and Lasers in Engineering
1993
Homotopy-based computation of defocus blur and affine transform
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
Patent Thicket
Definitions
2020
<title>Fast and precise angular projection evaluation (Hough-Green transform)</title>
SPIE Proceedings
2004
Fringe-pattern recognition by using the polar-coordinate transform
Experimental Mechanics
1995
A MOBILE SYSTEM FOR MEASURING SPRAY COVERAGE - BG1
Acta Horticulturae
2001
Cross-correlation with reconstruction: A new approach to pattern matching
Computer Analysis of Images and Patterns
1993
Where’s Your Head At? Exploring Role Transitions among Remote Workers
Academy of Management Proceedings
2023
Importing assets and setting up the project
Change iOS App Icons Programmatically in Xcode
2022
COVID-19 Sex-Age Mortality Modeling - A Use Case of Risk-Based Vaccine Prioritization
Unknown Venue
2021
COVID-19 Outbreaks and Age Mortality Patterns
Unknown Venue
2020
COVID-19 Outbreaks and Age Mortality Patterns
Unknown Venue
2020
A fast iris localization using inversion transform and restricted circular Hough transform
2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR)
2015
Motion analysis via interframe point correspondence establishment
Image and Vision Computing
1995
A fast indirect backprojection algorithm
Proceedings of 1st International Conference on Image Processing
Developing a Quality Control System in a Continuous Hot Air Heating Process in Surimi Seafood Processing Using Image Analysis and Artificial Intelligence
Processes
2023
A System to Inspect Corrosion Under Insulation via Temporal Thermography & Artificial Intelligence
Day 2 Tue, November 01, 2022
2022
Segmentation of Low-Level Temporal Plume Patterns From IR Video
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
2019
How to Reduce the Size of Bank Check Image Archive?
Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)
2007
A new framework for real-time Hough transform
SPIE Proceedings
2004
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
1997
Fast recognition of Young's fringe images via the indirect radon transform
1994 Conference on Lasers and Electro-Optics Europe
1994
Particle tracking through elastic matching
16th Congress of the International Commission for Optics: Optics as a Key to High Technology
1993
Les requêtes d’opposition devant le parlement de Paris : deux études de cas (1519-1523)
La Prise de décision en France (1525-1559)
2008

Education

Technical University of Sofia

Electrical & Computer Engineering / January, 1991

Sofia

Experience

Northeastern University

Adjunct Professor / September, 2019 — Present

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, 2016 — May, 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.

Links & Social Media

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