About

Short introduction with some external links.


I'm a 1st year MS CS student at Stanford. I graduated from UT Austin in 2014. I currently work on artificial intelligence projects with Andrew Ng and Fei-Fei Li. I will be interning at Facebook in 2015.

I do research with the Computer Vision Lab (SAIL) where my team focuses on AI-Assisted Healthcare. I'm also a project advisor (TA) for the CS Senior Project. Some of my technical interests are:

  • Machine Learning
  • Computer Vision
  • Neuroscience
  • Deep Learning
  • Graph Analysis
  • Social Modeling

Industry Experience

Places I've worked during the summers.

Facebook

Summer 2015, Menlo Park, CA

I will be interning as a Data Scientist during the summer of 2015.

Microsoft

Summer 2014 & 2013, Bellevue, WA

I was an intern on Bing Ads (Relevance and Revenue). I wrote semi-supervised learning algorithms to detect click and conversion fraud on petabytes of data.

Cardinal Health

Summer 2012, Chicago, IL

I was a finance intern for Cardinal Health's medical segment on the income statement and balance sheet team.

Education

Subjects I've studied over the years.

2014-Present

Stanford University

MS, Computer Science
(Artificial Intelligence)

2010-2014

University of Texas

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

2012

Northwestern University

Visiting Student
Coursework in Economics

Special Thanks for Scholarship Funding (Undergraduate)
British Petroleum, ConocoPhillips, Omnicure Home Health, Elizabeth Lanham Endowment

Projects

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

Research

An overview of my research interests, publications, etc.

    Interests

    Machine learning, neural networks, computer vision, anomaly detection, time series analysis


    Application Areas

    Medical diagnosis, hospital system monitoring, patient readmission prediction, bioinformatics

  • Current Project

    Locating People Using Cameras and Cell Phone Wifi/Bluetooth Signals

  • Stanford Vision Lab
    Computer Science Department

  • The goal of this project is to accurately locate and track clinicans and staff in hospitals. This can be used to monitor and ensure hygienic policies are being followed thereby reducing medical complications and hospital expenditures.
  • 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



  • Recent Publications

    1. NoSQL Databases for RDF: An Empirical Evaluation. P. Cudre-Mauroux, I. Enchev, S. Fundatureanu, P. Groth, A. Haque, A. Harth, F. Keppmann, D. Miranker, J. Sequeda, and M. Wylot. Proceedings of the 12th International Semantic Web Conference (ISWC). LNCS, vol. 8219, pp. 310-325. Springer, 2013. DOI: 10.1007/978-3-642-41338-4_20  Paper »
    2. A MapReduce Approach to NoSQL RDF Databases. A. Haque. The University of Texas at Austin, Department of Computer Science. Report# HR-13-13 (honors theses). Dec 2013. 81 pages. Thesis » Presentation (21 MB) »
  • Presentations and Other Papers

    1. Interclass Loss: Learning from Class Relationships. A. Haque. Course Project for Deep Learning (CS 231N), Stanford University. Mar 2015.  Poster »  Paper »
    2. Cardiac Dysrhythmia Detection With GPU-Accelerated Neural Networks. A. Haque. Course Project for Machine Learning (CS 229), Stanford University. Dec 2014. Code »  Poster »  Paper »
    3. 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. Code »  Poster »  Paper »
    4. A Comparison of MapReduce Join Algorithms for RDF. D. Alves, A. Haque, University of Texas at Austin. Apr 2014. Presentation »
    5. An Empirical Evaluation of Approximation Algorithms for the Metric Traveling Salesman Problem. A Haque, J Shah, F Ejaz, JX Xu. Course Project for Algorithms (CS 331), University of Texas at Austin. Dec 2013.  Paper »
    6. Selection Coefficients versus Omega for Codon Substitution Rates. A. Haque. Oct 2013. Presentation »
    7. HaLoop: Efficient Iterative Data Processing on Large Clusters. Presentation for Cloud Databases (CS 395T). Mar 2013. Presentation »
    8. Distributed RDF Triple Store Using SPARQL, HBase, and Hive. A Haque, L Perkins. Dec 2012.  Paper »
    9. An Analysis and Comparison of Processor Scheduling Techniques. A. Haque. Course Project for Operating Systems (CS 439H), University of Texas at Austin. Dec 2012.  Paper »
    10. A Novel Approach to Cellular Tracking and Surveillance. A Haque, A. Wang. May 2010.  Paper »