Contact

2260 Hayward St, Bob and Betty Beyster Building
Room 4945,
Ann Arbor, MI 48109
✉: asudeh[AT]umich[DOT]edu

Link to Project

Short Bio

I am a Research Fellow, and a member of the Database Research Group, at the Computer Science and Engineering department of the University of Michigan, working with Dr. H V Jagadish. Here at U-M, I lead Mithra, our project on Responsible Data Management and Data Ethics. I received my PhD in Computer Science from the University of Texas at Arlington, where I was supervised by Dr. Gautam Das as a member of Database Exploration Lab (DBXLAB). I finished my academic educations with the Outstanding PhD Student Award.

My research interests include Responsible Data Science and Data Ethics, Big Data Management and Analysis, Data Mining, Machine Learning, Ranking and Top-k Query Processing, Compact Maxima Representatives, Algorithm Design, Combinatorial Geometry, and Web Data Retrieval. I have a strong publication record in SIGMOD and VLDB in the past few years, including recognitions such as invitation to the "Best of VLDB". My erdös number is 3.
I was a research intern at Microsoft Research, DMX group, in Summer 2016. In summer 2014, I was a software engineering intern at Microsoft. I also have the experience of teaching different CS courses.


Timeline

  • Feb. 2019: “Assessing and Remedying Coverage for a Given Dataset” has been accepted in ICDE 2019.
  • Dec. 2018: “Leveraging Similarity Joins for Signal Reconstruction” was awarded PVLDB Reproducibility 2018.
  • Nov. 2018: “Designing Fair Ranking Schemes” has been accepted in SIGMOD 2019.
  • Oct. 2018: “On Obtaining Stable Rankings” has been accepted in VLDB 2019.
  • Oct. 2018: “RRR: Rank-Regret Representative” has been accepted in SIGMOD 2019. It was among the 3 (out of 159) submissions that were accepted directly in the first submission round of SIGMOD'19.
  • Aug. 2018: “Leveraging Similarity Joins for Signal Reconstruction” was invited to the Best of VLDB'18 -- the special issue of VLDB Journal.
  • June 2018: “Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse” has been accepted in VLDB 2018.
  • March 2018: “Leveraging Similarity Joins for Signal Reconstruction” has been accepted in VLDB 2018. [link]
  • Oct. 2017: Defended my PhD and joined University of Michigan.
  • Aug. 2017: “Efficient Computation of Subspace Skyline over Categorical Domains” has been accepted in CIKM 2017.
  • April 2017: I was awarded the “John S. Schuchman Outstanding PhD Student Award” at 2017 College of Engineering Academic Excellence Ceremony.
  • April 2017: We were awarded the “Most Reproducible Paper Award” of SIGMOD, for the paper Generating Preview Tables for Entity Graphs [link].
  • Nov. 2016:“Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative” has been accepted in SIGMOD 2017. [link] [slides]
  • May 2016: “Query Reranking As A Service” has been accepted in VLDB 2016. [link] [BibTex] [slides]
  • April 2016: Will be interning with DMX group at Microsoft Research, Seattle, in Summer 2016.
  • April. 2016: “Generating Preview Tables for Entity Graphs” has been accepted in SIGMOD 2016. [link]
  • Jan. 2016: “Discovering the Skyline of Web Databases” has been accepted in VLDB 2016. [link] [tech report] [BibTex] [slides]
  • July 2015: “Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons” has been accepted in CIKM 2015. [link] [slides] [BibTex]
  • July 2015: “A General Model for MAC Protocol Selection in Wireless Sensor Networks” has been accepted in Ad-Hoc Networks Journal. [pre-print version] [BibTex]
  • Jan. 2014: Will be interning at Microsoft, Seattle, in Summer 2014.