EDBT 2023 PhD Workshop


The newly established EDBT PhD Workshop is an opportunity for graduate students to present and discuss their research work at a premier international conference. The workshop provides a forum that facilitates interactions among PhD students and stimulates feedback from more experienced researchers. The corresponding call for papers can be found here:http://edbticdt2023.cs.uoi.gr/?contents=call_for_PhDWorkshop.html

Program


Tuesday, March 28th, 2023
14:30 14:40 OPENING
14:40 16:00 14:40 - 15:00 A System for Trajectory Data Management and Analysis (Johann Bornholdt)
15:00 - 15:20 Efficient And Scalable Management Of Interval Data (George Christodoulou)
15:20 - 15:40 Adapting scientific workflows to changing infrastructures (Ninon L De Mecquenem)
15:40 - 16:00 Discrimination-aware Data Transformations (Chiara Accinelli)
16:00 16:30 Coffee break
16:30 17:30 Keynote: How-to-PhD - A Dummies Guide towards Research (Boris Glavic)
17:30 18:30 17:30 - 17:50 Optimizing Analytical Query Processing on Disaggregated Hardware (Andreas Geyer)
17:50 - 18:10 Scalable Query Processing on Big Spatial Data (Thanasis Georgiadis)
18:10 - 18:30 Neural Data Search for Table Augmentation (Alexander Brinkmann)


Keynote: How-to-PhD - A Dummies Guide towards Research
by Boris Glavic

Abstract: Perhaps you just started your Ph.D. and are still trying to navigate the world of academia and find your thesis topic or you are a seasoned Ph.D. student about to gradate who wants feedback on your body of work. No matter where you are in your journey, it is easy to get stuck in the day-to-day life as a researcher, become a cog in the machine of academia and its publish-or-perish paradigm, and wander off the righteous path. Worry not! In this talk, we are going to take a step back and start from the fundamental question of "What is (CS) research?" and based on the answer to this question reflect on how we should go about the daily activities of a scientist such as literature research, selecting an interesting research problem to work on, experimental evaluation of hypotheses, formalization and theoretical analysis of a problem and solution, systems building, and communicating research ideas and findings (in written form of a publication or in form a presentation).

Boris Glavic Boris Glavic (http://www.cs.iit.edu/~dbgroup/members/bglavic.html) is an Associate Professor of Computer Science at Illinois Institute of Technology leading IIT's DBGroup. He received a PhD in Computer Science from the University of Zurich in Switzerland being advised by Gustavo Alonso and Michael Böhlen. Afterwards, he did spend two years as a PostDoc in the Department of Computer Science at the University of Toronto working with Renée J. Miller. Boris is serving frequently on the program committee of SIGMOD, VLDB, and other database venue and is currently an Associate Editor for PVLDB and TKDE. His research spans several areas of database systems and data science including data provenance and explanations, data integration, query execution and optimization, uncertain data, and data curation. Boris strives to build systems that are based on solid theoretical foundations. His research is currently supported by NSF grants and gifts from Oracle's external research office.



Organization


Program Chairs


Program Committee


Mentors


Diversity, Equity, and Inclusion


We kindly ask authors to adopt inclusive and diverse language when preparing their presentations. Information on how to make accessible presentations along with the DEI guidelines can be found here: https://docs.google.com/document/d/e/2PACX-1vRUhFi4N9hzkoEjUI_uRM3YAs4DkVNYvnXszXowh9vat5Gfb0Qv-BrH9gpJ7yZrQ3egM45KsZq4xEdx/pub