Motivated computer engineer with 9+ years of experience in research, development, and design. Publication record in ICCV, ECCV, WACV, MICCAI, MIDL and IEEE Transaction. 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.

• Research internship, MILA Lab, Montreal, Canada (2020-2021)

• Deep learning method for medical image analysis, research results are published in: (MICCAI 2021, MICCAI 2022 submitted)
• Developer and researcher in an open-source ivadomed library Link: https://ivadomed.org/
• Develop a convolutional neural network-based model of missing modality compensation problems: (submitted to Medical image analysis 2022)

• Research internship, ETS University, Montreal, Canada (2019-2020)

• Deep learning method for few-shot learning, research results are published in: (WACV 2021)

• Sharif University of Technology (#1 in Iran), 2013–2018

• Develop a model for human action recognition in a video stream. (published in IEEE Transaction)
• Develop a dynamic time-space conflict detection and quantification

• Ehsan Adeli, Stanford University, USA (Chair of CVPR, ICCV, ECCV, Nips, MICCAI, etc.) since 2022. • Dorit Merhof, RWTH, Germany (German research chair on Medical Image Analysis) since 2020. • Julien Cohen-Adad, MILA, Canada (Canadian research chair on MRI.) since 2020. • Sergio Escalera, University of Barcelona, Spain (Chair of CVPR, ICCV, ECCV, Nips, ICML, ICLR etc.) since 2017.

• Programming Python, CUDA, Matlab, SQL • Version controller Git Object-Oriented/Functional Programming Parallel Computing, Image Processing, DeepNeural Networks

https://scholar.google.com/citations?hl=en&user=Qb5ildMAAAAJ&view_op=list_works&sortby=pubdate

Achievements: 2nd rank in the grand challenge (Segpc2021) among 700+ participants.