whois

Research

• My current research focuses on studying how neural networks represent the concepts they have learned. Specifically at the Qian Lab, we are studying such representations and their various topological and geometrical properties in recurrent neural networks of firing rate cells, specifically in the context of visual perception and its relationship with (working) memory. We hope that the results of our studies open new horizons in understanding brain, as well as novel approaches for studying deep neural networks for AI.
• During my PhD, I worked on large-scale human-in-the-loop data analytics (HILDA). My research interests include a wide range of data management and analysis topics, from building frameworks and tools for large-scale HILDA to applications of data management techniques on Big Data. I worked as a part of AnHai Doan's group. We build frameworks for the next generation of entity matching, data integration and data cleaning tools.
• Here's my CV (as of June 2021).
• Ph.D. in Computer Sciences, University of Wisconsin-Madison (2018).
  M.Sc. in Computer Sciences, University of Wisconsin-Madison (2015).
  M.Sc. in Information Technology Engineering, University of Tehran, Iran (2008).
  B.Sc. in Software Engineering, University of Tehran, Iran (2005).
  
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Teaching

Selected Publications