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Welcome to Duke Database Group!

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We are part of the Department of Computer Science at Duke University. We are broadly interested in research on all matters related to data, including database systems, data-intensive computing, data analysis, data privacy, and database theory. This group was established in 2001, and its research has been generously supported by National Science Foundation, National Institutes of Health, IBM, HP, Amazon, Google, and Duke University.

 

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NEWS

Duke Database Devils will be virtually there at SIGMOD/PODS 2020 with our papers and other events!

  1. PODS'20: Efficient Indexes for Diverse Top-k Range Queries Pankaj Agarwal, Stavros Sintos and Alex Steiger
  2. PODS'20: Parallel Algorithms for Sparse Matrix Multiplication and Join-Aggregate Queries Xiao Hu and Ke Yi
  3. SIGMOD'20: Computing Local Sensitivities of Counting Queries with Joins Yuchao Tao, Xi He, Ashwin Machanavajjhala , Sudeepa Roy
  4. SIGMOD'20: CryptE: Crypto-Assisted Differential Privacy on Untrusted Servers Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, and Somesh Jha
  5. SIGMOD'20: Causal Relational Learning Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, and Dan Suciu
  6. SIGMOD'20: On Multiple Semantics for Declarative Database Repairs Amir Gilad, Daniel Deutch, and Sudeepa Roy
  7. SIGMOD'20: Black or White: How to Develop an AutoTuner for Memory-based Analytics Mayuresh Kunjir and Shivnath Babu
  8. SIGMOD'20: Fast Join Project Query Evaluation using Matrix Multiplication Shaleen Deep, Xiao Hu, and Paraschos Koutris

SIGMOD Industry Panel: Startups Founded by Database ResearchersC. Mohan (IBM Almaden Research Center),
Anastasia Ailamaki (EPFL & RAW Labs), Latha Colby (Sigma Computing), Ihab Ilyas (University of Waterloo, Tamr & Inductiv), Ashwin Machanavajjhala (Duke University & Tumult Labs), Thomas Neumann (Technical University of Munich), Christopher Re (Stanford University & SambaNova Systems)

Research Zoomtable on “Transitioning Research to Practice: The NSF Convergence Accelerator and Open Knowledge Network” Session chairs: Chengkai Li (University of Texas at Arlington), Yinghui Wu (Case Western Reserve University), and Jun Yang (Duke University). Speakers: Chaitanya Baru (NSF), Sergio Baranzini (UCSF, “Precision Medicine”), Xinyue Ye (NJIT, “Spatial Decision Support”), and Chengkai Li (UTA, “Credible Open Knowledge Network”)

Social Event: Women in DB: Experiences and Perspectives: Session Chairs: Alexandra Meliou (University of Massachusetts Amherst)
Yuanyuan Tian (IBM). Round Table Speakers: Bailu Ding (MSR), Ioana Manolescu (INRIA), Renee Miller (NEU), Sudeepa Roy (Duke), and Nesime Tatbul (Intel Labs)

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