Edward Shen
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Edward Shen Email & Phone Number

Image Sensor Specialist at Zebra Technologies
Location: Burlington, Ontario, Canada 15 work roles 3 schools
1 work email found @zebra.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
Role
Image Sensor Specialist
Location
Burlington, Ontario, Canada
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Edward Shen is listed as Image Sensor Specialist at Zebra Technologies, a with 11500 employees, based in Burlington, Ontario, Canada. AeroLeads shows a work email signal at zebra.com and a matched LinkedIn profile for Edward Shen.

Edward Shen previously worked as Image Sensor Specialist | Firmware Developer at Zebra Technologies and Image Sensor Specialist | Eng. Test Manager at Zebra Technologies. Edward Shen holds Phd., Computer/Electrical Engineering from York University.

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{first}.{last}@zebra.com
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Profile bio

About Edward Shen

Ambitious, professional and personable electrical engineer specializing in camera-based systems and computer vision, but with a broad knowledge-base including transistor-level circuit design (analog and digital), embedded systems, and C/C++ programming - a "jack-of-all" trades. Enthusiastically accepts personal responsibility for assignments and leads by example. Formal graduate-level studies are reinforced by technical knowledge enhanced through work experience.Specialties: -Camera system design-Computer Vision and Camera Calibration-Distributed Smart Camera (DSC) networks-CMOS Image sensor design-CMOS Image sensor testing and characterization-Embedded systems-Circuit Design (analog and digital)-Image Processing-C, C++, MATLAB, OpenCV programming

Listed skills include Image Sensors, Camera Calibration, Opencv, C, and 29 others.

Current workplace

Edward Shen's current company

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Zebra Technologies
Zebra Technologies
Image Sensor Specialist
Burlington, ON, CA
Website
Employees
11500
AeroLeads page
15 roles

Edward Shen work experience

A career timeline built from the work history available for this profile.

Image Sensor Specialist | Firmware Developer

Current

Lincolnshire, Il, Us

Oct 2022 - Present

Image Sensor Specialist | Eng. Test Manager

Lincolnshire, Il, Us

Nov 2021 - Oct 2022

Technical Lead, Engineering Test

Lincolnshire, Il, Us

Technical lead for the SmartSight project. Lead a team of 12 testers validating new features on the product including navigation and computer vision algorithms. Team successfully completed 3 long term POVs, deploying and stabilizing the system at customer sites.

Dec 2017 - Nov 2021

Contract Camera Systems Architect

Provide various technical services including camera system design, electronic design, embedded firmware, algorithm development.

Oct 2016 - Dec 2017

Hardware Engineer

Toronto, Ontario, Ca

Nov 2016 - Dec 2016

Lead Camera Hardware/Firmware Engineer

Bubl Technology Inc.

-One of three initial employee.-Main responsibility is firmware that controls the image/video capture pipeline.Improved image quality throughout our workflow - from on the camera to cloud-based functions.-Led entire hardware team consisting of 1-2 direct reports.-Led hardware verification and testing on two versions of the camera.-Provided support to manufacturing including instructions, specifications and troubleshooting.-Worked with outside manufacturer to design the lens focus station and end-of-line tester used in camera production.-Worked with mobile app and web development team to ensure hardware functionality could be accessed by various services.-Advised and consulted with image processing research team; initiated colour balancing and noise removal process for cloud deployment.-Involved in hardware design of new version of camera including component selection and architecture.

Dec 2013 - Sep 2016

Computer Vision Researcher

Virtual Reality And Perception Laboratory

-2 month project-Main objective is to explore the potential of adding quantitative measurement of joint kinematics to the Mobility Assessment System (MAS) by incorporation of a Microsoft Kinect sensor into the system. The Kinect’s skeleton detection algorithms offer an easy way to detect a remarkable number of body postures via 20 joints.-The goal of the project is the automation of the walking and standing portions of the Tinetti test.-Responsible for translating subjective criteria of the Tinetti Assessment Test into a set of quantitative measurements based on the skeleton extraction of the patient from a Kinect sensor.

Oct 2013 - Dec 2013

Contract Course Director

Toronto, On, Ca

-Course: ENG 3000 - Professional Engineering Practice-Present course material to 3rd year engineering students-Responsible for creating slides, assignments and exams.

Sep 2013 - Dec 2013

Post Doctoral Researcher - Collective Behaviour Laboratory

Cnr - Istituto Dei Sistemi Complessi

Project Overview:The purpose of the ARTSWARM project is to study the behaviour of collective animal groups. In particular, we are interested in the collective movement of starling flocks and midge swarms. The motivation for these displays is quite different; starlings flock as a defensive mechanism against predation, while midge swarms are a mating ritual for male midges to attract female midges. The understanding of the fundamental dynamics of these biological events requires more than simple observation and reporting. For this project, empirical data in the form of stereometric photographs have been captured, which form the basis for numerical analysis. The main challenge in this research is that these biological displays cannot be easily replicated in a laboratory environment and can only be obtained in the field. Hence, the uncertainties of the environment (weather, movement of the sun, disappearance of animals due to migration or death) and the probability of capturing images of a relevant event are the limiting factors, rather than more technological issues (image segmentation, target tracking).Contributions:-Part of experimental team responsible for capturing high speed stereometric photographs of collective animal behaviour (starling flocks and midge swarms).-Developed intrinsic and extrinsic camera calibration procedure and associated software required for full calibration of stereo camera setup making metrology possible.-Responsible for verification testing of stereo camera system to ensure proper reconstruction of captured collective behaviour events.-Developed software to automatically verify the validity of 3D trajectories, thus providing instant feedback on the quality of the tracking algorithm.-Verification testing of image segmentation and tracking algorithms, which lead to improvements to both methodologies.

Nov 2010 - Nov 2012

Research Assistant

Visor Laboratory

Research Overview:My research was focused on optimization of resources in distributed smart camera (DSC) networks. In particular, a method to allow individual nodes/cameras be responsible for decision-making about their own field-of-view (FOV). Inspiration for the new method was drawn from distributed systems in nature such as ant colonies and bird flocks. In these systems, individuals follow simple rules, without centralized control, while trying to complete a certain task. The result of each of the individuals' actions is an emergent system-level behaviour, which is governed by the principles of self-organization. Applying these principles to DSC networks, a camera selection methodology that requires no centralized control has been designed. Using only the local quality-of-view (QOV) metric provided by each camera and communication with a small number of other cameras, the camera selection methodology has been shown to optimize a set of system-level metrics. The calculations required by the methodology are not processor intensive and communication between cameras is limited.Contributions:-Designed and built twelve camera inward-looking distributed smart camera network using low-cost and low-power components.-Created and validated a novel decentralized camera selection methodology based on the principles of self-organization, which requires very little network bandwidth.Created a novel camera calibration target and implemented corresponding procedure that requires only a single image per camera versus 20+ images for a typical method.-Supervised multiple undergraduate summer students, whose work contributed directly to several publications.-Involved in many other projects such as: scale factor camera calibration; CMOS image sensor system-on-chip design; high dynamic range pixel design; temperature effects in CMOS image sensors; halo measurements in night vision goggles; and triangulation rangefinding.

Sep 2003 - Sep 2011

Product Engineering Intern

Boise, Idaho, Us

-Performed “1st silicon” (first production) verification and validation tests on several new CMOS camera products within 1 week, hence ensuring first-to-market position. Wafer-level tests included: image quality (noise, colour, blooming), subsystem testing (analog and digital gain, onboard memory) and temperature working range validation-Created automated data analysis and report generation code in MATLAB for presentation of “1st silicon” test results. This package processed raw test data and produced not only graphs and figures-of-merit, but also automatically generated powerpoint slides for the final report. The result was reducing personnel time spent on creating and formatting the presentation, leading to a reduction in the overall time required to complete 1st silicon verification.-Learned to operate probe stations, micro probes and other specialized test equipment, which allowed me to work independently with little or no supervision.-Investigated image quality issues such as MTF, dead pixel clusters and noise, leading to better analytical tools to quantify these yield issues.

Sep 2006 - Dec 2006

Contract Engineer

Edmonton, Ab, Ca

-Surveyed communication sites and drafted as-built technical diagrams providing up-to-date documentation for future expansion and/or customization.-Communicated with local engineers and maintenance technicians about improvements that could be made to each site diagram.

Jun 2003 - Aug 2003

Radio System Communications Engineer

Edmonton, Ab, Ca

-Researched and authored a feasibility study on the installation of a microwave radio link, including microwave radio path design, equipment lists and cost analysis.-Researched, designed and programmed a PLC system for monitoring vital conditions (humidity, temperature, battery condition) of unmanned communication sites, reducing the number of maintenance trips required.-Completed VHF radio path designs for ATCO Pipelines, leading to more robust communication channels.Surveyed communication sites and drafted as-built technical diagrams.-Organized and coordinated the installation of satellite phones and radio remotes as part of Y2K preparations ensuring the availability of emergency communications.

May 1999 - Dec 1999

Electromagnetic Radiation Hazard (Radhaz) Test Engineer

Ottawa, Ontario, Ca

-Performed integration radio frequency radiation hazard (RADHAZ) tests on entire fleet of IRIS System-equipped Canadian military vehicles.-Performed design proving tests on antenna configurations and RF data transmission procedures.-Drafted full RADHAZ test result reports for integration and qualification level testing, which made recommendations concerning RADHAZ dangers to the Canadian Government.

Jan 1998 - Aug 1998
Team & coworkers

Colleagues at Zebra Technologies

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3 education records

Edward Shen education

Phd., Computer/Electrical Engineering

York University

Masc., Electrical Engineering

University Of Waterloo

Bsc., Electrical Engineering

University Of Alberta
FAQ

Frequently asked questions about Edward Shen

Quick answers generated from the profile data available on this page.

What company does Edward Shen work for?

Edward Shen works for Zebra Technologies.

What is Edward Shen's role at Zebra Technologies?

Edward Shen is listed as Image Sensor Specialist at Zebra Technologies.

What is Edward Shen's email address?

AeroLeads has found 1 work email signal at @zebra.com for Edward Shen at Zebra Technologies.

Where is Edward Shen based?

Edward Shen is based in Burlington, Ontario, Canada while working with Zebra Technologies.

What companies has Edward Shen worked for?

Edward Shen has worked for Zebra Technologies, Ecobee, Bubl Technology Inc., Virtual Reality And Perception Laboratory, and York University.

Who are Edward Shen's colleagues at Zebra Technologies?

Edward Shen's colleagues at Zebra Technologies include Wayne Merkley, Boon Teck Pua, Jeff Bartosek, Nick Chang, and Gordon Poole.

How can I contact Edward Shen?

You can use AeroLeads to view verified contact signals for Edward Shen at Zebra Technologies, including work email, phone, and LinkedIn data when available.

What schools did Edward Shen attend?

Edward Shen holds Phd., Computer/Electrical Engineering from York University.

What skills is Edward Shen known for?

Edward Shen is listed with skills including Image Sensors, Camera Calibration, Opencv, C, Cmos, Photography, Matlab, and Sensors.

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