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Resume

Education

2019 - Present

2016 - 2018

2007-2011

Electrical Engineering and Computer Science | University of Ottawa, Canada
PhD. Candidate

My focus of research is on the intersection of artificial intelligence, mental health, and social media data, with a particular interest in utilizing deep learning models to detect suicidal ideation in social media content. My ultimate goal is to contribute to the development of effective and scalable AI-based solutions for suicide ideation detection that can improve the mental health outcomes of individuals.

Electrical Engineering  | University of Ottawa, Canada
Master’s Degree

My research focused on  signal processing, computer vision, facial expression recognition, and design and development of machine learning algorithms to process various types of biomedical signals.

Electrical Engineering | Isfahan, Iran
Bachelor's Degree

Skills
& Expertise

  • NLP techniques:

    •  Text classification

    • Topic Modeling

    • Text Generation

    • Large Language models

    • Text Preprocessing and Visualization

    • Natural Language Inference (NLI)

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  • Machine Learning:

    • Algorithms, frameworks, and GPU-accelerated libraries such as CUDA

    • Open source libraries such as:​

      • TensorFlow 

      • PyTorch

      • Pandas

      • Numpy

      • NLTK

      • Scikit-learn

    •  High-Performance Compute (HPC) system such as Compute Canada

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  • Programming Languages: 

    • Python 

    • C++

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  • Deep Learning

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  • Data Collection and Preprocessing

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  • Statistical Analysis

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  • Research Skills: 5+ years of academic  research experience. Familiar with research methodologies, designing experiments, conducting statistical analysis, and writing scientific papers.

  • Other applications and Software:

    • Latex​

    • Microsoft (Office)

    • HSPICE, OrCAD, Proteus, HFSS, ADS, Multisim

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