Vahid B. Zadeh

Greater Toronto Area, Canada Contact Info
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About

Leading with a deep-rooted expertise in machine learning and data science, my tenure at…

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Experience & Education

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Licenses & Certifications

Volunteer Experience

  • Vice President

    Iranian Student's Association of Waterloo (ISAW)

    - 5 months

    Social Services

    Iranian Students' Association of Waterloo, Federation of Students, University of Waterloo

  • University of Waterloo Graphic

    Admission Offer Confirmation Call Campaign for CPR Students

    University of Waterloo

    - 1 month

    Education

  • University of Waterloo Graphic

    Organizational Committee

    University of Waterloo

    - 1 month

    Science and Technology

    Intellectual Property and Entrepreneurship Seminar

  • University of Waterloo Graphic

    Student Mentor

    University of Waterloo

    - 1 month

    Education

    TA ExpecTAtion Workshop

  • University of Waterloo Graphic

    Organizational Committee

    University of Waterloo

    - 1 month

    Social Services

    Norouz Celebration

  • University of Waterloo Graphic

    Student Mentor

    University of Waterloo

    - 1 month

    Education

    TA ExpecTAtion Workshop

  • Volunteer Translator

    TED

    - Present 13 years

    Science and Technology

  • Sharif University of Technology Graphic

    Organizational Committee

    Sharif University of Technology

    - less than a year

    Science and Technology

    2010 ISME Conference

Publications

  • Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks

    ICRA2017

    The ability to accurately observe human motion and identify human activities is essential for developing automatic rehabilitation and sports training systems. In this paper, large-scale exercise motion data obtained from a forearm-worn wearable sensor are classified with a convolutional neural network (CNN). Time series data consisting of accelerometer and orientation measurements are formatted as "images", allowing the CNN to automatically extract discriminative features. The resulting CNN…

    The ability to accurately observe human motion and identify human activities is essential for developing automatic rehabilitation and sports training systems. In this paper, large-scale exercise motion data obtained from a forearm-worn wearable sensor are classified with a convolutional neural network (CNN). Time series data consisting of accelerometer and orientation measurements are formatted as "images", allowing the CNN to automatically extract discriminative features. The resulting CNN classifies 50 gym exercises with 92.14% accuracy. A comparative study on the effects of image formatting and different CNN architectures is also presented.

    Other authors
    • Terry Taewoong Um
    • Dana Kulic
    See publication

  • Applications of Machine Learning in Sport Technology

    Invited Speaker at Toronto Machine Learning Meetup

  • Abridged Jacobian Control and the Hypothesis of Underactuation in Human-like Motions

    CSME International Congress

    Other authors
    • Soo Jeon

  • Application of Self-Sensing for Energy Conservation in Electromagnetic Locking Mechanisms

    CSME International Congress

    Other authors
    • Soo Jeon
    See publication

  • A self-sensing approach to the energy-saving operation of electromagnetic locking devices

    Smart Materials and Structures

    Other authors

Patents

Courses

  • Advanced Control Theory

    -

  • Advanced Dynamics

    -

  • Advanced Process Dynamics and Control

    -

  • Applied Electronics

    -

  • Computer Control of Machines and Processes

    -

  • Control Systems' Design

    -

  • Control Theory

    -

  • Design of Mechanisms

    -

  • Filtering and Control of Stochastic Linear Systems

    -

  • Nonlinear Systems

    -

  • Numerical Control of Machine Tools

    -

  • Optimization Methods

    -

  • Robotics

    -

  • Stability Theory of ODEs

    -

Honors & Awards

  • Industrial Research Assistance Program (IRAP)

    -

    Research and Development for Advanced Training Engine using Machine Learning Techniques

  • Statement of Accomplishment (Full Score)

    Stanford University

    Machine Learning
    www.coursera.org

  • Statement of Accomplishment (With Distinction)

    John Hopkins University

    The Data Scientist's Toolbox
    www.Coursera.org

  • Letter of Commendation

    Department of Mechanical & Mechatronics Engineering

    Outstanding Teaching Assistant

  • Teaching Assistant Award

    Department of Mechanical & Mechatronics Engineering

    Outstanding Teaching Skills

  • The Recipient of the Roman Baldur Memorial Engineering Award

    University of Waterloo

    The scholarship is awarded annually to a full-time University of Waterloo graduate student registered in the Department of Mechanical and Mechatronics Engineering. The scholarship is awarded to a graduate student on the basis of scholastic excellence and a demonstrated interest in innovation.

  • Post-Secondary Scholarship

    University of Waterloo

    Full Scholarship, Master of Science in Mechanical Engineering, Mechanical and Mechatronics Department, University of Waterloo

  • Exceptionally Talented Student

    Sharif University of Technology

    Honored as an exceptionally talented student for distinguishing performance during undergraduate study, Mechanical Engineering Department, Sharif University of Technology. Fall 2011

  • First 10% in Mechanical Engineering Department

    Sharif University of Technology

    Ranked 13th among 150 students, School Of Mechanical Engineering, Sharif University Of Technology, 2011

  • Post-Secondary Full Fellowship

    Sharif University of Technology

    Full Fellowship, Master of Science in Mechanical Engineering, Department of Mechanical Engineering, Sharif University of Technology (Declined)

  • First 1% in National University Exam

    Iran's Educational and Learning Organization

    Ranked 107th (79th in region) among 300,000 competitors, National Entrance Exam of Public universities, 2007

  • TOP 10 in Country-wide University Exam

    Islamic AZAD Universiry of Iran

    Ranked 4th among 300,000 competitors, National Entrance Exam of ‘’Azad’’ universities, 2007

Test Scores

  • IELTS

    Score: 8/9

  • GRE

    Score: 150/170/4

  • TOEFL ibt

    Score: 100

  • TOLIMO

    Score: 595/673

Languages

  • English

    Native or bilingual proficiency

  • French

    Limited working proficiency

  • Turkish

    Limited working proficiency

  • Persian

    Native or bilingual proficiency

Organizations

  • ASME

    Professional Member

    - Present

  • IEEE

    Student Member

    - Present

  • ASME

    Student Member

    -

  • GSA

    -

    -

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