Seyyed Saleh Hosseini

Machine Learning R & d (Postdoc Fellow) @University Health Network

Montreal, QC, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Sep 2022 — Present

Machine Learning R & d (Postdoc Fellow) @University Health Network

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Toronto, ON, CA

EDUCATION

2017 — 2021

McGill University

Doctor of Philosophy - PhD, Computer Engineering

2009 — 2012

Shahid Bahonar University of Kerman

Master's degree, Computer Engineering

2005 — 2009

Shahid Bahonar University of Kerman

Bachelor's degree, Computer Engineering

ABOUT SEYYED SALEH HOSSEINI

With a strong background in computer engineering and over five years of experience in AI and wireless communication research, I specialize in developing innovative solutions for healthcare using natural language processing (NLP) and machine learning.I excel in customizing NLP models like BERT for diverse healthcare tasks, including predicting patient sentiment and enabling hospitals to gain valuable insights into satisfaction levels. Additionally, I\'ve developed sophisticated NLP approaches for anomaly detection within cell-free massive MIMO systems.At University Health Network (UHN), I leverage these skills to enhance diagnostic and therapeutic images, such as MRI and CT scans, through advanced algorithms and image-to-image translation techniques. Collaborating closely with clinicians and radiologists, I ensure that our AI models improve patient care and outcomes.

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Seyyed Saleh Hosseini — Machine Learning R & d (Postdoc Fellow) at University Health Network in Montreal, QC, CA | Unifers