Ali Hatamizadeh

Ali Hatamizadeh is a research scientist at NVIDIA as of 2020. He has earned his PhD at the University of California, Los Angeles (UCLA) in Computer Science and advised by Demetri Terzopoulos.

His research interests include self-supervised learning, novel architectures for data and hardware-efficient deep learning and security and fairness in federated learning.

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Selected Publications

Activities

    I have had the pleasure to serve in the program committee or a reviewer for the following conferences and journals:
  • Computer Vision and Pattern Recognition (CVPR) 2019, 2020, 2021, 2022
  • European Conference on Computer Vision (ECCV) 2020
  • International Conference on Computer Vision (ICCV) 2019, 2021
  • Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019, 2021, 2022
  • IEEE Winter Conference on Applications of Computer Vision (WACV) 2020
  • IEEE Transaction on Medical Imaging (TMI)
  • IEEE Journal of Biomedical and Health Informatics (J-BHI)
  • International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)
  • Journal of Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (CMBBE)

Teaching

  • UCLA CS 168 : Computational Medical Image Analysis - Spring 2020
  • UCLA CS 174 : Introduction to Computer Graphics - Winter 2020
  • UCLA CS 269 : Topics in Artificial Intelligence - Fall 2019
  • UCLA CS 188-2 : Introduction to Computer Vision - Fall 2019
  • UCLA CS 168 : Computational Medical Image Analysis - Spring 2019
  • UCLA CS 32 : Introduction to Computer Science II - Winter 2019

Mentored Students

  • Yucheng Tang, NVIDIA Research Intern, 2021
  • Debleena Sengupta, UCLA CS Graduate Student (Masters-Thesis Track), 2019
  • Zhengyuan Liu, UCLA CS Graduate Student (Masters-Capstone Track), 2019
  • Wuyue Lu, UCLA CSST International Exchange Student, 2018
  • Jie Mei, UCLA CSST International Exchange Student, 2018