AMIRHOSEIN
TOOSI
Computer Vision / Deep Learning
Specialist.
About me:
[ Resume ]
- Postdoctoral research fellow at the Department of Radiology, University of British Columbia, Vancouver, BC.
- He is also a Research Programmer at Qurit Lab, Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC.
- He was formerly a Postdoctoral research fellow at Qurit Lab
- Also worked as a Computer Vision / Deep Learning Specialist at Abinsula s.r.l, Torino, Italia.
- He also worked as a Post-doc researcher at Computer Graphics and Vision Group, Department of Computer and Control Engineering, Polytechnic University of Turin.
- During his postdoctoral research fellowship he worked on Deep Learning based 3D multi-person tracking and pose estimation from multi-view cameras.
- He received his PhD in Computer and Control Engineering from Polytechnic University of Turin, his Master’s in Mechatronics Engineering (Human-Computer Interaction) from Qazvin Azad University.
- For his PhD research project he worked on Deep learning-based Feature Fusion methods for Pattern Recognition problems in Computer Vision, mainly focused on providing Deep Learning feature fusion based solutions for Biometrics Liveness Detection.
Experiences:
> Computer Vision | Deep Learning
> Medical Image processing
> Computer Graphics | Volume Rendering
> Computer Haptics | Physics-based Simulation
> Robotics
> Inter-disciplinary engineering software solutionsComputer skills:
- Programming / scripting languages:
Python | C/C++ | JavaScript | Matlab- Deep Learning / Machine Learning toolboxes:
TensorFlow / Keras | TensorRT | PyTorch | Scikit-learn- Computer Vision / Image Processing tools/libraries:
OpenCV | Scikit-image | Pillow | Scipy | Matlab- Computer Graphics libraries:
OpenGL | glsl | WebGL | THREE.js | MeshLab- Computer Haptics libraries:
OpenHaptics | Chai3D