Amin Mousavi

I’m a Machine Learning Engineer with over 5 years of full-time industry experience and currently working part-time as a Machine Learning Researcher with a Canadian company. My background spans Deep Learning, Computer Vision, NLP, LLM, and GenerativeAI with hands-on expertise in frameworks like TensorFlow and PyTorch. Throughout my career, I’ve contributed to impactful projects and research across various domains, consistently applying advanced ML techniques to develop robust, scalable solutions and extract meaningful insights. I'm passionate about the evolving field of AI and continuously seek opportunities to grow, innovate, and contribute to meaningful advancements. Currently seeking PhD opportunities to further deepen my research focus and expand my contributions to the machine learning community.

Living in : Iran

Gender : MaleRace : Middle Eastern

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Academic Profile

Posts

Contact Information

-Email

amin.mousavi550Skype ID

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Educations

Software EngineeringMaster'sIslamic Azad University Abhar2019-10-19 Iran

Supervisor's name :Dr. Ali ali jamaat

Title :

Extraction and sentiment analysis of important aspects of a sports event using machine learning techniques

Software EngineeringBachelor'sSeraj University (Palmer Insitute of Higher Education Tabriz)2014-11-22 Iran

Work Experiences

Machine Learning Research

at Tecvico

I am currently working in this role

Machine Learning Enginee

at Samaneh Saz Morvarid

Start : 31-Dec-2018

End : 30-Apr-2024

English Scores

IELTS14-Apr-2022

7.5/9Total

Reading :

8/9

Speaking :

7/9

Listening :

8/9

Writing :

7/9

Conferences

Your Presentation Title :

Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer

Conference Name :MICCAI

Morocco

2024

Journal Publications

Publication Title :

Enhanced Lung Cancer Survival Prediction Using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT DatasetsThird author

Journal :

Cancers

Link :

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Publication Title :

Impact of Clinical Features Combined with PET/CT Imaging Features on Survival Prediction of Outcome in Lung CancerCorresponding author

Journal :

Journal of Nuclear Medicine

Link :

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Publication Title :

Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic ReviewThird author

Link :

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Publication Title :

Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate CancerSecond author

Journal :

International journal of computer assisted radiology and surgery

Link :

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Publication Title :

Unveiling the Black Box: A Synergistic Exploration of Deep Learning Features in Relation to Radiomics and Clinical Information for Enhanced Interpretability in Medical ImagingCorresponding author

Journal :

Journal of Nuclear Medicine

Link :

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Awards

SNMMIAI Challenge2024-05-31

References

Mohammad Reza Salmanpour

m.salmanpoor66@gmail.com

Ali Alijamaat

jamaat@kiau.ac.ir