June 2020: Paper and demonstration at PODS and SIGMOD 2020

Check out videos and slides for our PODS and SIGMOD papers on incremental maintenance of queries and machine learning over evolving relational databases:

  • F-IVM: Learning over Fast Evolving Relational Data. (Demonstration)
    Milos Nikolic, Haozhe Zhang, Ahmet Kara, Dan Olteanu.
    In ACM SIGMOD 2020. [pdf, video]
  • Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries.
    Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang.
    In ACM PODS 2020. [arxiv, extended slides, video]

May 2020: Article accepted for best-of-conference issue of ACM TODS

Our article on worst-case optimal incremental maintenance for triangle queries has been accepted for the ACM Transactions on Databaase Systems (TODS) special issue of best papers at the International Conference on Database Theory (ICDT) 2019. Our prior ICDT paper received the best paper award at ICDT 2019.

May 2020: Invited Keynote at VLDB 2020

Dan Olteanu has been invited to give a keynote at Very Large Data Bases (VLDB) 2020. VLDB is an internationally premier forum for data management and database research in academia and industry.

May 2020: PC Chair of ICDT 2022

Dan Olteanu has been appointed Programme Committee Chair of the International Conference on Database Theory (ICDT) 2022. Together with PODS, ICDT is the main international forum for research in database theory.

May 2020: Dan Olteanu becomes Professor of Big Data Science

As of 1 May 2020 the Board of the University has appointed Dan Olteanu as Professor for Big Data Science.