cv

Basics

Name Md Rezwanul Haque
Label Grad Student
Email rezwan@uwaterloo.ca
Url https://rezwanh001.github.io/
Summary Looking for a career to demonstrate the best of my professional ability, research thinking, and strategies to improve my knowledge, as well as to contribute to the best of my potential in my institution.

Work

  • 2024.04 - Present

    Ontario, Canada

    Researcher
    Centre for Pattern Analysis and Machine Intelligence (CPAMI) Lab
    • Multi-Modal Machine Learning (MMML)
    • Large Language Models (LLMs)
    • Deep Learning
    • Artificial Intelligence
    • Multimodal AI Agents
    • Human-Centered Machine Intelligence

Teaching

  • 2025.09 - 2025.12

    Ontario, Canada

    ECE 222: Digital Computers
    University of Waterloo
    • 🗓️ Fall 2025: September 2025 - December 2025
    • 👥 Enrolled Students: 279/280
    • ⭐ TA Rating: ★★★★☆ (--.--/5)
  • 2025.05 - 2025.08

    Ontario, Canada

    ECE 252: Systems Programming and Concurrency
    University of Waterloo
    • 🗓️ Spring 2025: May 2025 - August 2025
    • 👥 Enrolled Students: 120/150
    • ⭐ TA Rating: ★★★★☆ (--.--/5)
  • 2025.01 - 2025.04

    Ontario, Canada

    ECE 459: Programming for Performance
    University of Waterloo
    • 🗓️ Winter 2025: January 2025 - April 2025
    • 👥 Enrolled Students: 453/425 📈
    • ⭐ TA Rating: ★★★★☆ (--.--/5)
  • 2024.09 - 2024.12

    Ontario, Canada

    ECE 252: Systems Programming and Concurrency
    University of Waterloo
    • 🗓️ Fall 2024: September 2024 - December 2024
    • 👥 Enrolled Students: 206/190 📈
    • ⭐ TA Rating: ★★★★☆ (4.5/5)

Education

  • 2024.05 - 2026.04

    Waterloo, CA

    MASc
    University of Waterloo
    Electrical and Computer Engineering (ECE)
    • Supervisor: Prof. Fakhri Karray
    • Research Focus: Multimodal Machine Learning (MMML) and Large Language Models (LLMs).
    • Expected degree completion in Winter 2026.
  • 2014.12 - 2019.02

    Khulna, Bangladesh

    BSc
    Khulna University of Engineering & Technology (KUET)
    Computer Science and Engineering (CSE)
    • Thesis: “A Study on Non-Invasive Hemoglobin Measurement Techniques and Predictions.”
    • Supervisor: Prof. Dr. M.M.A Hashem

Awards

Certificates

Machine Learning
Coursera | Stanford University
Deep Learning Specialization
Coursera | DeepLearning.AI
Deep Learning with Python and PyTorch
edX | IBM
Quantum Machine Learning
edX | University of Toronto
Pretraining LLMs
DeepLearning.AI
Multimodal RAG: Chat with Videos
DeepLearning.AI

Publications

Skills

Artificial Intelligence
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision

Languages

Bangla
Native speaker
English
Fluent

Interests

LLMs
Large Language Models
Transformer Models
Natural Language Understanding
GPT
BERT
Text Generation
MMML
Multimodal Machine Learning
Cross-modal Learning
Vision-Language Models
Multimodal Representation Learning
Text-to-Image Models
Audio-Visual Learning

References

Professor Fakhri Karray
Prof. Fakhri Karray is an Adjunct Professor Emeritus in the Department of Electrical and Computer Engineering. Prof. Karray held the Loblaws Research Chair in Artificial Intelligence and was the co-Director of the University of Waterloo Artificial Intelligence Institute.
Professor M.M.A. Hashem
Department of Computer Science and Engineering (CSE), Khulna University of Engineering & Technology (KUET).

Projects

  • 2017.10 - 2018.01
    Image Captioning Project
    In this project we define and train an image-to-caption model, that can produce descriptions for real world images!
    • Recurrent Neural Networks (RNN)
    • Convolutional Neural Networks (CNN)