Mohammadali Hedayat

About Mohammadali Hedayat

Programming: Solid programming and math background, and highly experienced in (C++, Python) for image processing for parallel and multi-GPU platforms (CUDA, MPI) for real-time batch processing.• Computer vision: Traditional image processing, machine learning / deep learning computer vision for biomedical and Microscopic images (classification, segmentation, tracking, detection, localization).• Machine Learning: SQL, supervised / unsupervised, active learning, and data mining using machine learning and deep learning methods for clinical data including cleaning, classification, regression, clustering.

Experience

1. Software Engineer, Image Processing

   Accelerate Diagnostics

   Nov 2021 — Present

   Solely responsible for software design and developments of image processing core of Accelerate Diagnostics\' next generation platform (Wave system) using C++, CUDA and C# for a highly parallel Multi-GPU code- Part of images processing algorithm development team for antimicrobial susceptibility detection using python- Using Deep learning, machine learning for microbe cell localization and classification using TensorFlow- Maintaining a CI / CD platform for code deploying and testing using Jenkins, Dash, and Python- In team of two to design a website for internal use for Microbiologist to pull results using Flask, HTML, CSS, bootstrap.

Education

• University of Tehran

  Master's degree, Computational Science

  2011 — 2013

• Texas A&M University

  Doctor of Philosophy - PhD, Mechanical Engineering

  2018 — 2020

• K. N. Toosi University of Technology

  Bachelor’s Degree, Mechanical Engineering

  2007 — 2011

• University at Buffalo

  Graduate Advanced Degree, Computer Science and Engineering

  2014 — 2018