Prof. Olteanu's Professional Service

• Distinguished Associate Editor award at Very Large Data Bases 2023
• Distinguished PC Member award at SIGMOD 2018

Since mid 2022: Chair of the International Conference on Database Theory (ICDT) council

• Starting January 2025: Proceedings of ACM Management of Data (SIGMOD)
• Starting August 2023: Very Large Data Bases Journal (VLDBJ)
• Starting January 2018: ACM Transactions on Database Systems (TODS)
• September 2019 - December 2023: SIGMOD Record, Database Principles column
• September 2022 - April 2024: Logical Methods in Computer Science (LMCS), Special issue of best papers at ICDT 2022
• April 2022 - May 2023: Proceedings of Very Large Data Bases (PVLDB)
• April 2019 - May 2020: Proceedings of Very Large Data Bases (PVLDB)
• Dec 2016 - July 2017: Distributed and Parallel Databases (DPDB), Special issue on In-Database Analytics
• March 2013 - September 2015: IEEE Transactions on Data Engineering (TKDE)
• April 2012 - March 2013: Proceedings of Very Large Data Bases (PVLDB)

• ACM Symposium on Principles of Database Systems (PODS) 2027: Chair
• International Conference on Database Theory (ICDT) 2022: Chair
• EDBT/ICDT Tutorials 2020: Chair
• Alberto Mendelzon International Workshop on the Foundations of Data Management 2018: Co-Chair
• ACM SIGMOD 2017: Vice Chair
• ACM SIGMOD 2015: Group Leader
• IEEE International Conference on Data Engineering (ICDE) 2015: Uncertain and Probabilistic Data Track Chair
• Computing Systems Research for Big Data 2015 @ Alan Turing Institute, The British Library (London)
• British National Conference on Databases (BNCOD) 2013: Chair
• Innovative Querying of Streams (INQUEST) 2012: Organizer and Co-Chair

• 2026
  • Principles of Database Systems (PODS)
• 2023
  • Principles of Database Systems (PODS)
• 2022
  • Very Large Data Bases, Demonstration Track (VLDB)
• 2021
  • International Conference on Database Theory (ICDT)
• 2019
  • ACM Principles of Database Systems (PODS)
• 2018
  • ACM SIGMOD
  • Gems of ACM PODS
• 2017
  • Very Large Data Bases (PVLDB/VLDB)
  • ACM SIGMOD Reproducibility
  • British International Conference on Databases (BICOD)
• 2016
  • ACM SIGMOD
  • ACM SIGMOD Reproducibility
  • IEEE International Conference on Data Engineering (ICDE)
  • International Conference on Database Theory (ICDT)
  • Statistical Relational AI (StarAI)
  • Alberto Mendelzon Workshop (AMW)
  • International Workshop on Web and Databases (WebDB)
• 2015
  • Very Large Data Bases (PVLDB/VLDB)
  • ACM Principles of Database Systems (PODS)
  • ACM SIGMOD Reproducibility
  • British National Conference on Databases (BNCOD)
  • International Workshop On Data Warehousing and OLAP (DOLAP)
• 2014
  • Very Large Data Bases (PVLDB/VLDB)
  • ACM SIGMOD, Tutorials Track
  • IEEE International Conference on Data Engineering (ICDE)
  • International Conference on Database Theory (ICDT)
  • International Conference on Extending Database Technology (EDBT)
  • Big Uncertain Data (BUDA) workshop at PODS
• 2013
  • ACM SIGMOD
  • IEEE International Conference on Data Engineering (ICDE)
  • Very Large Databases (VLDB) Reproducibility
  • Very Large Databases (VLDB), Best Paper Award Committee
  • International Workshop on Database Programming Languages (DBPL)
  • International Conference on Scalable Uncertainty Management (SUM)
  • International Workshop on Non-Conventional Data-Access (NoCoDA) at ER
  • PhD Workshop at Very Large Data Bases (VLDB)
• 2012
  • Very Large Data Bases (PVLDB/VLDB)
  • IEEE International Conference on Data Engineering (ICDE)
  • IEEE International Conference on Data Engineering (ICDE), Demonstration Track
  • ACM SIGMOD Repeatability and Workability Evaluation
  • International Symposium on Foundations of Information and Knowledge Systems (FoIKS)
  • International Workshop on Non-Conventional Data-Access (NoCoDA) at ER
• 2011
  • ACM Principles of Database Systems (PODS)
  • IEEE International Conference on Data Engineering (ICDE)
  • ACM SIGMOD, Demonstration Track
  • ACM SIGMOD Repeatability and Workability Evaluation
  • International Conference on Information and Knowledge Management (CIKM)
  • Workshop on Management of Uncertain Data (MUD) at VLDB
  • PhD Workshop at Very Large Data Bases (VLDB)
• 2010
  • IEEE International Conference on Data Engineering (ICDE)
  • International Conference on Database Theory (ICDT)
  • ACM SIGMOD Repeatability and Workability Evaluation
  • International Conference on Scalable Uncertainty Management (SUM)
  • Workshop on Management of Uncertain Data (MUD) at VLDB
  • Workshop on Management and Mining Of UNcertain Data (MOUND) at IEEE ICDE
• 2009
  • IEEE International Conference on Data Engineering (ICDE)
  • World Wide Web Conference (WWW)
  • International Conference on Extending Database Technology (EDBT), Demonstration Track
  • International Conference on Scalable Uncertainty Management (SUM)
  • PhD Workshop at Very Large Data Bases (VLDB)
  • PhD Workshop on Innovative Database Research (IDAR) at SIGMOD
• 2008
  • IEEE International Conference on Data Engineering (ICDE)
  • International Conference on Extending Database Technology (EDBT)
• 2007
  • Web and Databases (WebDB), colocated with SIGMOD
• 2006
  • Web Information and Data Management (WIDM), co-located with CIKM
  • XQuery Implementations, Experience, and Perspectives co-located with SIGMOD (XIMEP)
  • ACM SIGPLAN Programming Language Technologies for XML, co-located with POPL (PLAN-X)

• Journal of the ACM (JACM)
• Communications of the ACM (CACM)
• ACM Transactions on Database Systems (TODS)
• Very Large Databases Journal (VLDBJ)
• Logical Methods in Computer Science (LMCS)
• Journal of Computer and System Sciences (JCSS)
• ACM Transactions on Internet Technology (TOIT)
• ACM Transactions on Information Systems (TOIS)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• AI Communications, The European Journal on Artificial Intelligence (AICOM)
• Journal of Functional Programming (JFP)
• Information Systems Journal (IS)
• Data and Knowledge Engineering Journal (DKEJ)