Affliation:MINDS Research Group, Information Sciences Institute, University of Southern California
Previous Affliation:Machine Perception @ Google AI
Location:Los Angeles, California
Interests:Computer Vision, Graphs, Learning Algorithms.
Codes in:Primarily Python, C++ and javascript.
Enjoys:Soccer, cooking, hiking, and indo-European learning languages.
Contact:[x] or sami@[x].org, where [x]=haija
Profiles:Google Research, Google Scholar, LinkedIn


  • Masters of Science and Engineering, Computer Science, University of Michigan. Supervisor: Honglak Lee. Did research on Medical Imaging. Graduate Student Instructor for undergraduate course: Introduction to Machine Learning.
  • SCPD (i.e. Non-degree option), Computer Science, Stanford. Focused on Machine Learning, Computer Vision, and Mining Massive Datasets.
  • Bachelors of Applied Science, Electrical and Computer Engineering, University of Toronto. Graduated with honors. Senior project was an Enteprise Search Engine, demoed at IEEE-SDC 2010

Selected Papers

  • Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou and Alex Alemi, Watch Your Step: Learning Node Embeddings via Graph Attention, Neural Information Processing Systems (NIPS), 2018 · paper
  • Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Paul Natsev Collaborative Deep Metric Learning for Video Understanding, Knowledge Discovery and Data Mining (KDD), 2018 · paper
  • Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi and Joonseok Lee, N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification, KDD Workshop on Mining and Learning with Graphs, 2018 · paper
  • Sami Abu-El-Haija, Proportionate gradient updates with PercentDelta, ArXiv 2017 · paper
  • Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, Learning Edge Representations via Low-Rank Asymmetric Projections ACM International Conference on Information and Knowledge Management (CIKM) 2017 (20% acceptance rate) oral · paper · website
  • Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan, YouTube-8M: A Large-Scale Video Classification Benchmark, ArXiv 2016 · paper · website
  • Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei, Detecting events and key actors in multi-person videos, Computer Vision and Pattern Recognition (CVPR) 2016 - oral · paper · website
  • Bertrand Schneider, Sami Abu-El-Haija, Jim Reesman, Roy Pea, Toward Collaboration Sensing: Applying Network Analysis Techniques to Collaborative Eye-tracking Data, Learning Analytics and Knowledge (LAK) 2013 - best paper award · paper

Selected Patents

  • (with Google Research) 14 authors including Sami Abu-El-Haija, Selecting and Presenting Representative Frames for Video Previews · link
  • (with Ooyala Inc.) Zhichen Xu, Sami Abu-El-Haija, Lei Huang, Nimrod Hoofien, Automatically Recommending Content · link
  • (with Altera Inc.) Jason Govig and Sami Abu-El-Haija, Reporting Status of Timing Exceptions · link