Team Member: Amirhossein Nourbakhsh

About Amirhossein Nourbakhsh

PhD Candidate

Amir is a PhD candidate. He is working on Quantum Computation for graph optimization problems. Experienced Computer Vision, Deep Learning, Network Analysis with a focus on Location Based Services. Skilled at Java, Python, Node.js, MongoDB. Self-motivated and determined type who always ready to face the challenges with a problem-solving manner.

Email me: amirnbr@yorku.ca

Platforms


Research Project

Quantum Computing

Quantum computing is the use of quantum phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers. They are believed to be able to solve certain computational problems, such as integer factorization, substantially faster than classical computers.


Portfolio

Vaxequity Website

Health inequalities concern health factors and access to the resources required to improve and maintain health. Esri App challenge 2021.

Mobile Mapping System

A simulation to estimate road roughness condition by using GPS and IMU sensors in the Unity environment.

Data analytics and visualization

Knowledge Graph Construction

Toronto Healthcare Query System

Esri Canada 2020 App Challenge. The App digitalizes Toronto Healthcare resources, and help the patients find the optimal healthcare nearby.


Publications

A.H. Nourbakhsh, M. Delavar, M. Jadidi, B. Moshiri, “Reducing the Time to Get Emergency Assistance for Accident Vehicles on the Road Through an Intelligent Transportation System”, ISPRS International Joint Conferences SMPR and GIResearch 2019, Tehran, 2019.

Link | Keywords: Intelligent Transportation Systems, Global Positioning System, Gyroscope, On Board Unit