cv

Basics

Name Md Rezwanul Haque
Label PhD Candidate · AI Researcher
Url https://rezwanh001.github.io/
Summary Incoming PhD candidate in Electrical and Computer Engineering at the University of Waterloo, researching multimodal machine learning, large language models, and agentic AI systems at the CPAMI Lab.

Work

  • 2024.04 - Present

    Ontario, Canada

    Graduate Researcher
    Centre for Pattern Analysis and Machine Intelligence (CPAMI) Lab
    Conducting advanced research in multimodal machine learning and large language models at the CPAMI Lab, University of Waterloo. Designing transformer-based architectures and multi-agent systems for human-centered AI applications.
    • 🧠 Multimodal Machine Learning
    • 🤖 Large Language Models (LLMs)
    • 👁️‍🗨️ Vision-Language Models
    • 🚀 Multimodal AI Agents
    • 🌐 Embodied Agentic AI Systems
    • 👤 Human-Centered Machine Intelligence
    • 🔬 Deep Learning & Computer Vision

Education

  • 2026.05 - Present

    Waterloo, Ontario, Canada

    PhD
    University of Waterloo
    Electrical and Computer Engineering (ECE)
    • 🔬 Research: Agentic Systems for Embodied AI · Multi-Agent Embodied Systems with Shared Visual Understanding · World Models & Visual Cognitions for Embodied Agents
    • 👨‍🔬 Supervisor(s): Prof. Fakhri Karray & Prof. Zhou Wang
  • 2024.05 - 2026.04

    Waterloo, Ontario, Canada

    MASc
    University of Waterloo
    Electrical and Computer Engineering (ECE)
    • 📝 Thesis: “Title is coming ...”
    • 🔬 Focus: Multimodal ML · LLMs · Human-Centered AI
    • 👨‍🔬 Supervisor(s): Prof. Fakhri Karray & Prof. Pin-Han Ho
  • 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

Teaching

  • 2026.01 - 2026.04

    Ontario, Canada

    ECE 459: Programming for Performance
    University of Waterloo
    Teaching Assistant (TA)
    • 📅 Winter 2026 · January 2026 – April 2026
    • 👥 Enrolled Students: 440/447
    • ⭐ TA Rating: ★★★★★ (--.--/5)
  • 2025.09 - 2025.12

    Ontario, Canada

    ECE 222: Digital Computers
    University of Waterloo
    Teaching Assistant (TA)
    • 📅 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
    Teaching Assistant (TA)
    • 📅 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
    Teaching Assistant (TA)
    • 📅 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
    Teaching Assistant (TA)
    • 📅 Fall 2024 · September 2024 – December 2024
    • 👥 Enrolled Students: 206/190 📈
    • ⭐ TA Rating: ★★★★☆ (4.5/5)

Publications

Awards

Volunteer

  • 2023.01 - Present
    Conference & Journal Reviewer
    Academic Peer Review
    Serving as an invited peer reviewer for leading AI/ML conferences and journals, evaluating research in computer vision, multimodal learning, and deep learning.
    • 👁️ ICCV 2025 — IEEE/CVF International Conference on Computer Vision
    • 🧠 NeurIPS 2025 — Workshop on Music and Machine Learning (MusIML)
    • ⚙️ IEEE SMC 2025 — International Conference on Systems, Man, and Cybernetics
    • 🫀 IEEE IJCNN 2025 — International Joint Conference on Neural Networks
    • 📡 IEEE EICT 2025 — Int'l Conference on Electrical Information and Communication Technology
    • 📚 PLOS One (2023–Present) — Peer-reviewed open access scientific journal

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

Skills

Machine Learning & AI
Deep Learning
Multimodal Learning
Large Language Models (LLMs)
Computer Vision
Natural Language Processing
Transformer Architectures
Programming Languages
Python
C / C++
Rust
Java
MATLAB
Bash / Shell Scripting
Frameworks & Libraries
PyTorch
TensorFlow / Keras
Hugging Face Transformers
OpenCV
scikit-learn
NumPy / Pandas
Tools & Platforms
Linux / Ubuntu
Git / GitHub
Docker
SLURM (HPC Clusters)
LaTeX
Weights & Biases

Languages

Bangla
Native speaker
English
Fluent

Interests

Large Language Models
Transformer Architectures
Natural Language Understanding
GPT / LLaMA / Gemma
Instruction Tuning & RLHF
Retrieval-Augmented Generation (RAG)
Agentic Systems & Tool Use
Multimodal Machine Learning
Vision-Language Models
Multimodal Fusion & Representation
Audio-Visual Learning
Sign Language Recognition
Depression Detection (Multimodal)
Medical Image Analysis
AI Agents & Embodied Intelligence
Multi-Agent Systems
Embodied AI
Visual Cognition & World Models
Human-Centered Machine Intelligence
Multimodal AI Agents
Shared Visual Understanding
Deep Learning & Computer Vision
Convolutional Neural Networks
Vision Transformers (ViT)
Object Detection & Segmentation
Whole Slide Image Analysis
Graph Neural Networks
Self-Supervised & Contrastive Learning