cv
Basics
| Name | Md Rezwanul Haque |
| Label | Grad Student |
| 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
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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
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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)
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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)
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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
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2024.05 - Present Ontario, Canada
-
2014.12 - 2019.02 Khulna, Bangladesh
BSc
Khulna University of Engineering & Technology (KUET)
- Department of Computer Science and Engineering (CSE)
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2013.01 - 2014.12 Rajshahi, Bangladesh
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2007.01 - 2012.12 Dinajpur, Bangladesh
Awards
- Winter 2025
Faculty of Engineering (FOE) Award
UWaterloo | University of Waterloo, Canada
The ECE Department awards students who demonstrate exceptional merit (academic excellence, research excellence, outreach activities etc.) in the previous term with a Faculty of Engineering (FoE) Award.
- 2025
Graduate Student Contingency Bursary
UWaterloo | University of Waterloo, Canada
- 2015 – 2018
Technical Scholarship
KUET | Khulna University of Engineering & Technology
This is awarded to the top students of the class every academic year.
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
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2025.08.12 FusionEnsemble-Net: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition
arXiv Preprint | Accepted at ICCV 2025
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2025.08.12 A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition
arXiv Preprint | Accepted at ICCV 2025
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2025.08.11 MDD-Net: Multimodal Depression Detection through Mutual Transformer
arXiv Preprint | Accepted at IEEE SMC 2025
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2025.08.08 MMFformer: Multimodal Fusion Transformer Network for Depression Detection
arXiv Preprint | Accepted at IEEE SMC 2025
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2025.07.09 GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning
arXiv Preprint | Accepted at IJCNN 2025
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2024.02.27 Body Weight Estimation Using Smartphone Based Photoplethysmography Signal
ICCIT 2023 | IEEE Conference
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2023.11.20 Smartphone Based BP Level Monitoring System Using DNN Model
ATC 2023 | IEEE Conference
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2023.08.19 Badlad: A large multi-domain bengali document layout analysis dataset
ICDAR 2023 | Springer
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2022.09.01 Breast cancer prediction: a comparative study using machine learning techniques
Springer Nature Computer Science
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2021.03.30 Prediction of cervical cancer from behavior risk using machine learning techniques
Springer Nature Computer Science
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2021.01.06 Scalable telehealth services to combat novel coronavirus (COVID-19) pandemic
Springer Nature Computer Science
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2020.09.01 Deep learning based breast cancer detection using histopathological images
Springer Nature Computer Science
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2019.03.01 -
2018.10.20 Performance evaluation of random forests and artificial neural networks for the classification of liver disorder
IC4ME2 2018 | IEEE Conference
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2017.02.12 Prediction of breast cancer using support vector machine and K-Nearest neighbors
R10-HTC 2017 | IEEE Conference
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)