Bio

Marzieh Amini Assistant Professor I am an Assistant Professor in the School of Information Technology, cross-appointed to the Department of Systems and Computer Engineering in the Faculty of Engineering & Design at Carleton University.
I was a member of McGill Centre for Intelligent Machines (CIM), working on developing semantic segmentation methods for autonomous vehicle applications and tracking in adverse weather conditions using camera and LiDAR sensing modalities.
I was a data scientist in Blue City Tech., working on development and maintenance of algorithms to automatically detect, classify, and track objects produced by high-performance 3D LiDAR sensors.
I am the chair of event planner team in IEEE Montreal Industrial Relation Committee, where we have organized the well-known IEEE Research Boost events.
I have served as a Red Judge for IBM Watson AI XPRIZE competition, validating competing team's technology through verifiable, reproducible, and ethical results.
I am a licensed Professional Engineer registered with Professional Engineers of Ontario (PEO).

Education

  • Postdoctoral Fellow2020

    Electrical and Computer Engineering

    McGill University, Montreal, Canada

  • PhD2016

    Electrical and Computer Engineering

    Concordia University, Montreal, Canada

Work Experience

  • May 2018 - May 2020
    Postdoctoral Fellow

    Visual Motor Research Lab, McGill Centre for Intelligent Machines (CIM)

  • Aug 2019 - July 2020
    Data Scientist

    Blue City Technology, Montreal

  • Jan 2018 - May 2018
    Lecturer, McGill University

    Electrical and Computer Engineering Department, McGill University

  • Aug 2017 - Now
    Chair of Event Planner Team, IEEE Montreal Industry Relations Committee

    Organized The 6th IEEE Research Boost: to foster collaborative research projects and networking among the industry, government and academia.

    Organized The 5th IEEE Research Boost: to bring together IEEE Members, Academics, Industry, Public Sector and Students to network and enjoy an inspiring technical presentation and discussion.

    Organized The 4th IEEE Research Boost to foster collaborative research projects and networking among the industry, government and academia, as well as to present some of the top candidates in their field of expertise.

    Organized IEEE Montreal Keynote Event: Cars of the Future, to bring together IEEE Members, Academics, Industry, Public Sector and Students to network and enjoy an inspiring technical presentation and discussion.

    Organized The 3rd IEEE Research Boost to foster collaborative research projects and networking among the industry, government and academia, as well as to present some of the top candidates in their field of expertise.

  • Nov 2017 - Feb 2018
    Part-time Researcher

    School of Electrical Engineering and Computer Science, University of Ottawa

  • Sep 2016 - Nov 2017
    Associate Researcher

    Multimedia Signal Processing Lab, Concordia University

  • Sep 2012 - Apr 2016
    Teacher Assistant and Lab Instructor

    Faculty of Engineering and Computer Science, Concordia University

  • Sep 2011 - Apr 2016
    Research Assistant

    Multimedia Signal Processing Lab, Concordia University

Professional Service

  • 2019
    Red Judge IBM Watson AI XPRIZE Competition
  • 2018
    Chair of Event Planner Team, IEEE Montreal IRC
  • 2012-Now
    Technical Reviewer

    IEEE Transactions on Multimedia

    IEEE Transactions on Circuits & Systems for Video Technology

    Springer Multimedia-Tools and Applications

    Elsevier Signal Processing

    Journal of the Franklin Institute

    Springer- Iranian Journal of Science and Technology

  • 2010-Now
    Technical Program Committee (TPC) and reviewer

    International Symposium on Circuits and Systems (ISCAS)

    International Conference on Current Research in Signal Processing & Communications.

    Mid-West Symposium on Circuits and Systems (MWSCAS)

    Canadian Conference on Electrical and Computer Engineering (CCECE)

    Iranian Conference on Electrical Engineering (ICEE)

  • 2004
    Executive Committee member, 7th Iranian Electrical Engineering Conference
  • 2003
    Executive Committee member, 2nd Machine Vision and Image Processing Conference

Honors and Awards

  • Nov 2019
    Volunteer Recognition Award, IEEE Montreal Section
    image
  • March 2019
    Nominated for l'oreal canada for women in science research excellence fellowships
  • Apr 2018
    Ranked 1st in the Nature and Technology category to receive an FRQNT postdoctoral fellowship
  • June 2017
    Nominated for 2017 Governor General Gold Medal, Concordia University
  • Jan 2017
    Nominated for Prix d'excellence de l'Association des doyens des tudes suprieures au Qubec (ADESAQ)
  • Jan 2017
    Nominated for CAGS/UMI Distinguished Dissertation Awards
  • Apr 2016
    Received The Faculty of Engineering and Computer Science Teaching Assistant Award for 2015-2016, Concordia University
    image
  • Apr 2016
    ReSMIQ Conference Award
  • Mar 2016
    3rd place award at ECE-GSR paper competition, Concordia University
  • Feb 2016
    IEEE ISCAS Travel Support
  • Feb 2016
    Accelerator Award, Concordia University
  • Apr 2015
    Conference and Exposition Award, Concordia University
  • March 2015
    ReSMIQ Conference Award
  • Oct 2014
    ECSGA Travel Award, Concordia University
  • Apr 2014
    Conference and Exposition Award, Concordia University
  • Mar 2014
    Concordia ENCS Travel Support
  • 2012 and 2013
    Partial tuition scholarship, Concordia University

Research

Research Summary

My research interests include signal/image/video processing, biomedical signal processing, statistical modeling, data science, traffic monitoring, computer vision and sensor fusion in autonomous vehicles. More precisely, my research lies at the intersection of computer vision, machine learning and statistical signal modeling with a focus on tackling fundamental machine perception, sensor fusion using learning approaches in order to enable perception system of autonomous vehicles reliably operate in more diverse environments.

Interests

  • Signal/Image/Video Processing
  • Computer Vision
  • Machine Learning
  • Biomedical Signal Processing
  • Statistical Modeling
  • Traffic Monitoring

Students

Current Students

  • Ziaaddin SharifiSoraki, PhD, co-supervised with Prof. S. Rajan

  • Honeyeh Yazdizadeh, PhD, co-supervised with Prof. R. Yu

  • Hasan Abbasi, PhD, co-supervised with Prof. R. Yu

  • Ali Rahmanifard, PhD, co-supervised with Prof. C. Joslin

Former Students

  • David Liu, undergrad, graduated in 2021

  • Elizabeth Major, undergrad, graduated in 2021

Prospective Students

Research Assistant Positions

  • If you are interested in joining my research group, please send me an email with your CV, indicating research areas of your interest and your research plans (if any), e.g., a research proposal.

  • Candidates should have good programming skills (Preferably in Python/Matlab).

Domestic Students

  • If you are a Domestic Student (i.e. you are Canadian, have Permenant Residency, or have applied and received your Permenant Residency number) then research opportunities have the potential to come with a Teaching Assistantship (TA), a Research Assistantship (RA), and Scholarships (internal and external).

International Students

  • If you are an International Student, funding is different. International Master's students need to get a funded project, no teaching assistantship is given, and scholarships are limited. International PhD students are given a Teaching Assistantship, some scholarships are available, and funding depends on the project and your GPA.

Publications

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Hierarchical spectral-temporal feature learning for action recognition in MI-BCI systems

Marzieh Amini, H. Sadreazami and Y. Taheri
JournalIEEE Transactions on Human-Machine Systems, 2020.

A channel-dependent statistical watermark detector for color images

Marzieh Amini, H. Sadreazami, M. Omair Ahmad and M. N. S. Swamy
JournalIEEE Transactions on Multimedia, vol. 21, no. 1, pp. 65-73, 2019.

A robust image watermarking scheme using local statistical distribution in the contourlet domain

H. Sadreazami, and Marzieh Amini
Journal IEEE Transactions on Circuits & Systems II: Express Briefs, vol. 66, no. 1, pp. 151-155, 2019.

A Robust Multibit Multiplicative Watermark Decoder Using Vector-Based Hidden Markov Model in Wavelet Domain

Marzieh Amini, M. Omair Ahmad and M.N.S. Swamy
JournalIEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 2, pp. 402-413, 2018.

A new locally optimum watermark detection using vector-based hidden Markov model in wavelet Domain

Marzieh Amini, M. Omair Ahmad and M.N.S. Swamy
JournalSignal Processing, vol. 137, pp. 213-222, 2017.

Digital watermark extraction in wavelet domain using hidden Markov model

Marzieh Amini, M. Omair Ahmad and M.N.S. Swamy
JournalMultimedia Tools and Applications, vol. 75, no. 21, pp.3731–3749, 2016.

A robust spread spectrum based image watermarking in ridgelet domain

H. Sadreazami and Marzieh Amini
JournalAEU-International Journal of Electronics and Communications, vol. 66, no. 5, pp. 364–371, 2012.

Multichannel color image watermark detection utilizing vector-based hidden Markov model

Marzieh Amini, H. Sadreazami, M. Omair Ahmad and M.N.S. Swamy
Conference IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-4, 2017.

A hidden Markov model-based blind detector for multiplicative watermarking

Marzieh Amini, H. Sadreazami, M. Omair Ahmad and M.N.S. Swamy
Conference IEEE Mid-West Symposium on Circuits and Systems (MWSCAS), pp. 611-614, 2017.

SAR Image Despeckling Using Vector-Based Hidden Markov Model in Wavelet Domain

Marzieh Amini, M. Omair Ahmad and M.N.S. Swamy
Conference IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-4, 2016.

A New Map Estimator For Wavelet Domain Image Denoising Using Vector-Based Hidden Markov Model

Marzieh Amini, M. Omair Ahmad and M.N.S. Swamy
ConferenceIEEE International Symposium on Circuits and Systems (ISCAS), pp. 445-448, 2015.

A New Blind Wavelet Domain Watermark Detector using Hidden Markov Model

Marzieh Amini, M. Omair Ahmad and M.N.S. Swamy
ConferenceIEEE International Symposium on Circuits and Systems (ISCAS), pp. 2285-2288, 2014.

Image Denoising in Wavelet Domain Using the Vector-Based Hidden Markov Model

Marzieh Amini, M. Omair Ahmad and M.N.S. Swamy
ConferenceIEEE International New Circuits and Systems Conference (NEWCAS), pp. 29-32, 2014.

Highly robust image watermarking in contourlet domain using singular value decomposition

H. Sadreazami and Marzieh Amini
Conference IEEE International Conference on Signal Processing (ICSP), pp. 628-631, 2012.

Key parameters influence on wavelet based OFDM systems

H. Sadreazamiand Marzieh Amini
Conference IET International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN), pp. 173-176, 2011.

Efficient virtual terminal manner in wavelet packet based MC-CDMA system

H. Sadreazami, Marzieh Amini and J. Afshar
ConferenceIEEE Int. Symp. on Intelligent Signal Processing and Communications Systems (ISPACS), pp. 1-4, 2010.

Error diffusion halftone image watermarking based on SVD-DWT technique

Marzieh Amini, H. Sadreazami and Kh. Yaghmaie
ConferenceIEEE Machine Vision and Image Processing Conference (MVIP), pp. 401-404, 2010.

Image watermarking through joint spatial segmentation and wavelet packet frequency division

Marzieh Amini and H. Sadreazami
Conference IEEE International Conference on Signal Processing (ICSP), pp. 632-635, 2012.

Binary image watermarking in ridgelet domain

Marzieh Amini and H. Sadreazami
Conference IEEE International Conference on Signal Processing (ICSP), pp. 1813-1816, 2010.

Dual wavelet watermarking using principal component analysis

H. Sadreazami and Marzieh Amini
Conference IEEE International Conference on Signal Processing (ICSP), pp. 1821-1824, 2010.

A new scheme for dual watermarking using DWT-PCA technique

Marzieh Amini , H. Sadreazami and Kh. Yaghmaie
Conference International Conference on Imaging Theory and Applications (IMAGAPP), pp. 43-46, 2010.

Teaching

Carleton University

  • Winter 2022

    ITEC 5920 - Selected Topics in Digital Media - Applied Deep Learning

  • 2020-21

    OSS 4900 - OSS Capstone Project

McGill University

  • Winter 2018

    ECSE 324 - Computer Organization

    I was the course instructor for ECSE 324-Computer Organization at Electrical and Computer Engineering department, McGill University. This course covered the following topics: basic computer structures; set architecture instruction; assembly language; input/output; memory; processor implementation; computer arithmetic. The course also includes lab work involving assembly language level programming of single-board computers
  • Fall 2018

    ECSE 415-Intro to Computer Vision

    I was a lecturer for ECSE 415-Intro to computer vision at Electrical and Computer Engineering department, McGill University. This course covered the following topics: image formation and acquisition, design of image features, image segmentation, stereo and motion correspondence matching techniques, feature clustering, regression and classification for object recognition, industrial and consumer applications, and computer vision software tools.

Contact Info

 

Carleton University

My office is located at the following address:

Azrieli Pavilion 230G,
Carleton University,
34 Library Rd, Ottawa, ON K1S 5B6

Tel : +1 (613)-520-2600 ext. 1016

E-mail : marzieh dot amini at carleton dot ca

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