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moeinheidari7829/README.md

Moein Heidari

Hi there πŸ‘‹, My name is Moein Heidari, a deep learning developer and researcher! Feel free to contact me if you have an open position in your team πŸ˜„. Always eager to discuss with people on research and development topics.

πŸ“§ moeinheidari7829@gmail.com | 🌐 Personal Website


πŸ“Š SUMMARY

Motivated computer engineer with 5+ years of experience in research, development, and design. Publication record in WACV, MICCAI, BMVC, CVPR, ICCV, and IEEE Transactions. Aiming to apply strong knowledge and skills in deep learning, computer vision, data structures/algorithms design and programming in real-world industrial problems including, but not limited to, image/video processing, medical image processing, data analysis, and high-performance computing.


🎯 EXPERIENCE [SELECTED]

β€’ PhD Student, University of British Columbia, Canada (2024-Present)

  • Researching agentic frameworks for echocardiography and implicit neural representations
  • Published in top-tier venues: CVPR, ICCV, ICASSP, SPIE, BMVC

β€’ Remote Research Assistant, RWTH Aachen University, Germany (2022-2023)

  • Deep learning methods for medical image analysis
  • Research results published in: MICCAI, WACV, IEEE Access

β€’ Research Assistant, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE (2023)

  • Scale-aware Attention Network for Microscopic Image Segmentation
  • Research results published in: BMVC 2023 (Oral Presentation)

β€’ Research Assistant, Iran University of Science & Technology (IUST) (#3 in Iran), 2017–2022

  • Worked on transformer-based end-to-end communication systems

🀝 RESEARCH COLLABORATION WITH

β€’ Ehsan Adeli, Stanford University, USA (Chair of CVPR, ICCV, ECCV, NeurIPS, MICCAI, etc.) since 2022 β€’ Dorit Merhof, RWTH, Germany (German research chair on Medical Image Analysis) since 2022
β€’ Julien Cohen-Adad, MILA, Canada (Canadian research chair on MRI) since 2022 β€’ Hisham Cholakkal, MBZUAI, UAE (Mohamed bin Zayed University of Artificial Intelligence) since 2023 β€’ Ilker Hacihaliloglu, UBC, Canada (Department of Radiology, Department of Medicine) since 2023


πŸ› οΈ SKILLS

β€’ Programming: Python, CUDA, MATLAB, SQL, JavaScript, HTML/CSS β€’ Version Control: Git, GitHub β€’ Paradigms: Object-Oriented/Functional Programming β€’ Specializations: Parallel Computing, Image Processing, Deep Neural Networks, Computer Vision, Medical Imaging, AI Agents, Large Language Models


πŸ“– Google Scholar


🌟 HIGHLIGHTS

  • πŸŽ“ PhD Student at University of British Columbia
  • πŸ“ 20+ Publications in top-tier venues
  • 🀝 International Collaborations with Stanford, RWTH, MILA, MBZUAI
  • πŸ”¬ Research Focus: Computer Vision, Medical Imaging, AI Agents, Deep Learning
  • πŸ’» Technical Skills: Python, CUDA, Deep Learning, Computer Vision

πŸ“ž CONTACT


Always open to collaboration and new opportunities! Feel free to reach out for research discussions, job opportunities, or just to say hello! 😊

Pinned Loading

  1. SL2A-INR SL2A-INR Public

    ICCV 2025: SLΒ²A-INR: Single-Layer Learnable Activation for Implicit Neural Representation

    Python 2 1

  2. P2P P2P Public

    Forked from yasamin-med/P2P

    CVPR 2025: Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images

    Python

  3. xmindflow/Awesome_Mamba xmindflow/Awesome_Mamba Public

    Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

    262 21

  4. amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging Public

    Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

    2k 170

  5. amirhossein-kz/HiFormer amirhossein-kz/HiFormer Public

    HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

    Jupyter Notebook 143 22