Hamza Abdelhedi | Curriculum Vitae.

  • Artificial Intelligence M.Sc Student, Computer Science department, Université de Montréal
  • MILA (Quebec AI Institute) Research Student
  • Graduate Research Assistant, Cognitive and Computational Neuroscience Lab
  • Graduate Research Assistant, Systems Neuroscience and Artificial Intelligence Lab
  • Teaching Assistant, Méthodes en Neuroscience Cognitive 1 - PSY2008A -, Psychology department, Université de Montréal
  • Technical Assistant, Unifying Neuroscience and AI in Quebec (UNIQUE) Research Center
  • UNIQUE Student Affairs Committee member: Link to the Scientific committee of UNIQUE
  • Funded by: UNIQUE, CIRCA and Cerebrum
  • Telecommunication Engineering Degree (M.Eng)
    Higher School of Communication of Tunis, Ariana, Tunisia, 2021

  • UdeM UNIQUE CIRCA
  • MILA UNIQUE CIRCA


    • Education

    Master of Science (M.Sc) - Computer Science: Artificial Intelligence

    MILA/Computer Science Department, Université de Montréal - UdeM

    Supervised by Dr. Karim Jerbi, and co-supervised by Dr. Shahab Bakhtiari.

    Montreal, QC, Canada.
    Aug. 2022 - Present.

    Courses: Machine Learning for Biomedical Data (BMDE 520), Applied Machine Learning (COMP551), Representation Learning (IFT6135), AGI: Scaling, Alignment and Emergent Behaviors in Neural Nets (IFT6760A), Data Structures, Algorithmic.

    Funding: UNIQUE Master Level Scholarship, Cerebrum Scholarship, CIRCA Excellence Scholarship.
    Activities and volunteering: Member of UNIQUE SAC committee, Member of CuttingEEG Montreal Garden OC.

    Master of Engineering (M.Eng) - Telecommunication; Minor: Smart Image Applications

    Higher School of Communication of Tunis - SUP'COM, Université de Carthage

    Ariana, Tunisia.
    Sep. 2018 - Nov. 2021.

    Selected courses: Image & Signal Processing, Deep Learning, Medical Imaging, Computer Vision, Graph Theory, Information Theory. Statistical Inference, Networking, Cyber Security, Calculus.

    Internships: UNIQUE Center (Graduation), SFM Techonologies and Hexastack (Summer).
    Activities and volunteering: Chairman of IEEE SUPCOM SB, Organizer of IndabaX 2018.

    Pre-Engineering Studies - Mathematics and Physics

    Sfax Preparatory Institute for Engineering Studies - IPEIS, Université de Sfax

    Sfax, Tunisia.
    Sep. 2016 - June 2018.

    Courses: Linear Algebra, Advanced Calculus, Physics, Chemistry, Python Programming, Mechanics.

    Rank: 150/1500

    Pre-Engineering studies consist of two intensive years, culminating in a national examination for admission to engineering schools.


    Baccalaureate Degree: Mathematics (High School)

    Sfax Pioneer High School: Farhat Hached - LPSFH

    Sfax, Tunisia.
    Sep. 2012 - June 2016.

    Pioneer High Schools are exclusively accessible to elite students who have successfully passed a national examination.



    Work and
    Research
    Experience

    Computational Neuroscientist - Graduate Research Assistant

    Cognitive & Computational Neuroscience Lab - MILA/Université de Montréal; Headed by Dr. Karim Jerbi
    Systems Neuroscience and AI Lab - Université de Montréal; Headed by Dr. Shahab Bakhtiari
    List of Tasks:
    • Working on my Master's Thesis Project: Integrating Magnetoencephalography (MEG) and Convolutional Neural Networks (CNNs) to investigate the dynamics of face recognition in both Artificial and Biological Networks.
    • Analyzing the impact of scaling models and data on the resemblance of Artificial Neural Networks (ANNs) to the human brain.
    • Collaborating on various side projects with colleagues.
    • Supervising interns and actively participating in journal clubs.
    • Presenting research findings at dedicated conferences.
    • Contributing to Open-Source Software.

    Montreal, QC, Canada.
    March. 2022 - Present.
    Jan. 2023 - Present

    Research Intern - Graduation Project

    Unifying Neuroscience and Artificial Intelligence in Quebec (UNIQUE) Research Center
    List of Tasks:
    • Assess the performance of 6 CNNs (13 architectures) on the task of Face Recognition & select the best scoring models.
    • Preprocess, clean & filter MEG data recorded while performing the task of Face recognition for 19 subjects and compare its similarity to the selected networks internal representations.

    Remote.
    April. 2021 - Oct. 2021

    Machine Learning Intern

    SFM Technologies; Project: Electronic devices identification using Machine Learning
    List of Tasks:
    • Detect the change of states (On/Off) of appliances in an electric circuit.
    • Compute the harmonics, signature and features of electronic devices & develop an algorithm to identify them.

    Tunis, Tunisia.
    July, August 2020

    Natural Language Processing Intern

    Hexastack; Project: Intent Extraction & Sentence segmentation for Tunisian dialect
    List of Tasks:
    • Clean and explore a dataset of Tunisian dialect phrases.
    • Extracte keywords using NER to assign an intent for each phrase & implement a sentence segmentation algorithm.

    Ariana, Tunisia.
    July, August 2019


    Teaching Experience

    Teaching Assisstant - Psychology Department, Université de Montréal

    Methods in cognitive neuroscience 1: PSY2008

    Montreal, QC, Canada.
    Sept. 2023 - Dec 2023


    Volunteering Experience & Orgs

    Coming Soon

    Conferences.

    Coming Soon