CV

Education

• Ph.D. in Computer Science, Concordia University, Montréal, Canada (January 2022 – Present)

• M.Sc. in Electrical Engineering, Sharif University of Technology, Tehran, Iran (September 2017 – September 2019)

• B.Sc. in Electrical Engineering, Amirkabir University of Technology, Tehran, Iran (September 2013 – September 2017)

Research Interests

• Deep Learning for Medical Image Analysis
• Anatomical Landmark Detection
• Multi-Modal Image Registration
• Uncertainty Quantification in AI
• Contrast-Agnostic Learning

Work experience

• April 2024 – September 2024: Research Scientist Intern
  Elekta, Montréal, Canada
  • Developed deep learning-based image registration for real-time tissue motion tracking in 2D-Cine MRI-guided radiotherapy.
  • Trained foundation models using Python, PyTorch, ITK, MONAI, Nibabel, and NumPy on NVIDIA A100 GPUs.
  • Achieved 12% improvement in image alignment using anatomical landmarks.
• June 2019 – January 2021: Head of AI Group
  Hami Holding, Tehran, Iran
  • Led the development of AI-based algorithmic trading systems.
  • Implemented preprocessing and temporal analyses for time-series data and stock price prediction.
  • Supervised a team of programmers on AI and backend data analysis.
• May 2017 – September 2017: Research Intern
  Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
  • Worked on EEG signal processing methods.
  • Gained experience in time-series analysis and feature extraction.

Publications

You can find a complete list of my publications on Google Scholar.

Skills

• Languages
  • Python, C/C++, MATLAB, LATEX
• Frameworks
  • PyTorch, TensorFlow, Django, Flask
• Tools
  • Git, Docker, AWS, Google Cloud Platform, Overleaf, Visual Studio, PyCharm, IntelliJ, Eclipse, Excel
• Libraries
  • OpenCV, Scikit-learn, Pandas, NumPy, Matplotlib
• Medical Imaging & Tools
  • ITK, MONAI, ANTs, 3D Slicer, MINC

Honors and Awards

• BF2 FRQS Doctoral Fellowship, 2025
  
• Concordia University In-Course Graduate Bursary in Computer Science, 2025
  
• Concordia University CENPARMI Graduate Scholarship, 2025
  
• IEEE Transactions on Medical Imaging (TMI) Distinguished Reviewer, 2024
  
• Mitacs Accelerate Fellowship for Internship at Elekta, 2024
  
• Concordia University Carolyn Renaud Teaching Assistantship Award, 2024
  
• Concordia University Conference & Exposition Award, 2023
  
• Concordia University Travel Conference Support, 2023
  
• Quebec Bio-Imaging Network (QBIN) Conference Travel Award, 2023
  
• Image Processing Best Student Paper Award, SPIE Medical Imaging, 2023
  
• Concordia University Tuition Award of Excellence for International Students, 2021
  
• Top 1% in Iran’s national MSc entrance exam, 2017
  
• Top 1% in Iran’s national BSc entrance exam, 2013
  

Volunteering

• Peer reviewer for:
  • IEEE/CVF Computer Vision and Pattern Recognition (CVPR)
  • European Conference on Computer Vision (ECCV)
  • Neural Information Processing Systems (NeurIPS)
  • International Conference on Machine Learning (ICML)
  • IEEE Transactions on Medical Imaging
• Member of the student committee at RBIQ-TransMedTech meeting (May 22, 2024) and RBIQ scientific day (May 23, 2024), Quebec Bio-Imaging Network (QBIN)