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Website last updated in 2016.


Short introduction with some external links.

I'm a CS grad student at Stanford. I currently work on artificial intelligence projects with Fei-Fei Li's group.

I'm part of the Computer Vision Lab (SAIL) working on AI-Assisted Healthcare. I'm a TA for machine learning and was a TA for deep learning for vision and the CS Senior Project. Some of my interests are:

  • Machine Learning
  • Computer Vision
  • Social Modeling
  • Deep Learning
  • Video Understanding
  • 3D Vision

Industry Experience

Places I've worked full time or had internships.

Data Scientist, Ads Targeting
Data Scientist, Ads Relevance & Revenue
Software Engineer, Ads Quality


Subjects I've studied over the years.


Stanford University

MS, Computer Science
Advisor: Fei-Fei Li


University of Texas

BS, Computer Science
BBA, Finance (BHP/FAP)
Advisor: Dan Miranker


Northwestern University

Visiting Student
Coursework in Economics


A collection of side projects, research studies, and course assignments.


An overview of my research interests, publications, etc.


    Reinforcement learning, human pose estimation, multimodal vision, video understanding, activity prediction

    Application Areas

    Medical diagnosis, healthcare environment monitoring, computational advertising, video search and indexing

  • Past Groups

  • RiBS Lab (2012-14)
    Department of Computer Science
    University of Texas at Austin

    Wilke Lab (2013)
    Department of Integrative Biology
    University of Texas at Austin

  • Presentations and Other Papers

    1. Single Object Tracking with TLD, Convolutional Networks, and AdaBoost. A. Haque and F. Dalvi. Course Project for Advanced Vision (CS 231B), Stanford University. May 2015.
    2. Unsupervised Context-Aware Anomaly Detection for Identifying Trolls in Streaming Data. A. Haque. Course Project for Data Mining (CS 363D), University of Texas at Austin. May 2014.