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Hi! My name is Azade Nazi. I am an Google AI resident working on challenging projects within the Google Brain team. Before joining Google as AI resident, I was a postdoctoral researcher at Microsoft research in Data Management, Exploration and Mining DMX group. I completed my PhD in Department of Computer Science and Engineering at the University of Texas, Arlington under the supervision of Dr. Gautam Das in Database Exploration Lab (DBXLAB).  I did my Masters in Computer Science at Sharif University of Technology under the supervision of Dr. Hamid Sarbazi-Azad.

I am interested in different areas like machine learning, Information Retrieval & Web Mining, Hidden Graph, Database, and Social Network Analysis.  Most of my current research devoted to the generalization of neural network models to real-world datasets which are  in the form of graphs or networks, where the goal is to exploit the graph structure of such datasets in the training process.

News and Highlights:

  • I have joined Google AI as an AI Resident.
  • I have recently joined DMX group at Microsoft Research as a post-doc researcher.
  • I will be interning with the DMX group at Microsoft Research Seattle during Summer 2016.
  • Our demo paper "AD-WIRE: Add-on for Web Item Reviewing System", has been accepted in VLDB 2016.
  • Awarded "Outstanding Doctoral Student" at 2016 College of Engineering Academic Excellence Ceremony.
  • I will be interning with the DMX group at Microsoft Research Seattle during Summer 2015.
  • Our paper "The TagAdvisor: Luring the Lurkers to Review Web Items" has been accepted in SIGMOD 2015.
  • Our paper "Walk, Not Wait: Faster Sampling Over Online Social Networks" has been accepted in PVLDB 2015.
  • Our paper "Answering Complex Queries in an Online Community Network" has been accepted as a short paper in ICWSM 2015.
  • Our paper "Querying Hidden Attributes in Social Networks" has been accepted at Workshop on Intelligent Data Processing (IDP 2014), collocated with ICDM 2014.