Address:
CSC-243, Department of Computing Science
University of Alberta
Edmonton
Alberta, Canada T6G 2E8
Email: info@yousefnezhad.com (preferred)
Academic email: myousefnezhad@ualberta.ca
Blog: www.learningbymachine.com
GitHub: www.github.com/myousefnezhad/
GitLab: www.gitlab.com/myousefnezhad
LinkedIn: www.linkedin.com/in/myousefnezhad
Skype: m.yousefnezhad
Twitter: @myousefnezhad
This is an under developing web and mobile applications as a distributed machine learning solution for medical application. It can process text, audio, wearable, anatomical and functional images - e.g., CT, MRI, fMRI, etc. MedAI employs NodeJS, FastAPI, Rust (Actix), Docker, Kubernetes to provide backend services. The distributed machine learning engine is developed using Python, Tensorflow, Rust, and bash script.
Neuroscience: AFNI, FSL, SPM, FreeSurfer, Group ICA, NIfTI.
Machine Learning Library: Scikit-learn, Tensorflow (+Probability, GPflux), JAX, PyTorch, PyWhy, Z3 API, Stable-Baselines3.
Programming Languages: Python, Javascript, SwiftUI, Rust, Bash, MatLab, C, C++.
Database: PostgreSQL, MongoDB, Redis, MySQL, Microsoft SQL, Oracle Database.
OS: Linux (Arch, Fedora, and Debian), OSX, Windows, Solaris, Cisco IOS.
DevOps: Docker, Kubernetes, CI/CD (GitLab and GitHub), JWT.
Cloud Platform: Amazon AWS, Google Cloud, Microsoft Azure.
Hardware: Cisco routers and switches, Siemens IP-PBX, Avaya IP-PBX, Mikrotik routers and switches, Asus and HP servers and networks.