Indexes are awesome. They make searching possible and there is no modern person who can conjure a magical wand to waft through the mess of today's world of information. The rate of data generation has grown astronomically over the past decade and with it has come its inevitable antithesis of short expiry date tags on quite large data sets. This makes the inescapable long index creation time a headache that we can no longer ignore.

Adaptive indexing picks up the mantle for this battle and has tried to propose methods for incrementally building indexes in a way that keeps them still useful but also manageable to build. Fatemeh has spent all 5 years of her PhD trying to expand the reach of this idea. From shapes to vectors to taking this concept out in the analytics wilderness, she has tried it all. She likes to think she's helped a bit.

The PhD degree was completed at the Computer Science department, faculty of Natural Sciences at Aarhus University.

This summary was prepared by the PhD student.

Time: Friday 25th of April 2025 at 15:00
Place: Building Ada, room 5342-333, Aarhus University.
Title of PhD thesis: Incremental Management of Multi-dimensional Data
Contact information: e-mail: Fatemeh.zardbani@cs.au.dk, tel.: +4550160302
Members of the assessment committee:
Research Director Sihem Amer-Yahia, Laboratoire d' Informatique de Grenoble (LIG), France ,
Professor Negar Kiyavash, College of Management of Technology EPF Lausanne, Switzerland
Chair: Associate Professor Peyman Afshani, Department of Computer Science, Aarhus University
Main supervisor: Professor Panagiotis Karras, Aarhus University and University of Copenhagen, Denmark
Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Natural Sciences/GSNS, Ny Munkegade 120, building 1521, 8000 Aarhus C