VLDB 2023: PhD Workshop

The VLDB 2023 PhD Workshop proceedings have been published by CEUR-WS: here

28Aug

9:00 – 9:10Welcome

Chairs

9:10 – 10:00Keynote

Navigating the PhD Journey and Beyond: From PhD to Academia to Industry Wang-Chiew Tan (Facebook AI)

10:00 – 10:20Break

10:20 – 12:00Session 1

Considering Distributed Processing in the Query Optimizer Maximilian Rieger (Technische Universität München)

Optimizing cloud data lakes queries Grisha Weintraub (IBM and BGU)

Query Optimization for Inference-Based Graph Databases Sonia Horchidan (KTH Royal Institute of Technology)

Automated Database Schema Evolution in Microservices Maxime MA ANDRÉ (University of Namur)

A Query-Driven Approach for SHACL Type Inference David Haller (Friedrich-Alexander-Universität Erlangen-Nürnberg)

12:00 – 13:30Lunch Break

13:30 – 15:00Session 2

Discovering Dichotomies for Problems in Database Theory Neha Makhija (Northeastern University)

Computing Provenance Using the Negated Chase Andreas Görres (Universität Rostock)

Improving Data Minimization through Decentralized Data Architectures Ilaria Battiston (CWI)

Encoding and Provisioning Data in different Data Models for Quantum Computing Markus Zajac (FernUniversität in Hagen)

15:00 – 15:20Break

15:20 – 16:20Session 3

Efficient Ranked Access over Joins Nikolaos Tziavelis (Northeastern University)

SHaMBa: Reducing Bloom Filter Overhead in LSM Trees Zichen Zhu (Boston University)

Data is Data and Control Should be Data, Too Denis Hirn (Universität Tübingen)

16:20 – 16:50Panel Discussion: Good reviewing habits

Moderator: Oktie Hassanzadeh (IBM Research) Gustavo Alonso (ETH), Sihem Amer-Yahia (CNRS), Jun Yang (Duke University)

16:50 – 17:00Closing Remarks