DARE Lab | Christos Tsapelas

I am working as research associate at Athena Reasearch and Innovation Center, under the supervision of Dr. Georgia Koutrika. My research interests lie on the intersection of Machine Learning with Database Systems, especially on applications of Deep Learning for query optimization and applications of NLP on various assets of DBMS. Currently I am working for FAIR Core 4 EOSC project, responsible for NL search services over OpenAIRE Research Graph. I am working also as head teaching assistant for the Database Systems class, course of Data Science and Information Technologies program.

I received my MSc degree from Data Science & Information Technologies program, with a specialisation on Big Data & Artificial Intelligence, at the University of Athens, defending my thesis with title: "QPSeeker: An Efficient Neural Planner Combining Both Data and Queries through Variational Inference". Prior to that, I received my BSc degree in Computer Science from the same faculty, titled Pathlet Learning for Compressing and Planning Trajectories under the supervision of Dr. Dimitris Gunopoulos.

News

I participated on the first Archimedes Summer Programm 2022. Very grateful for this opportunity!

Last day of Archimedes Summer School discussing our work on ML-based query optimization. The internship lasted about 2 months discussing about theoretical ML, DBs, CV and many more. Very grateful to meet and exchange research ideas with top scientists from all over the world. pic.twitter.com/NVMw56H3oJ
— Ctsap (@Ctsap1) August 30, 2022

Selected Work

QPSeeker: An Efficient Neural Planner Combining Both Data and Queries through Variational Inference

FAIR Core 4 EOSC: Member of DARE Lab, working on the implementation of NL search systems over graph data.

Publications

2024

EDBT

QPSeeker: An Efficient Neural Planner Combining Both Data and Queries through Variational Inference

Tsapelas, Christos, and Koutrika, Georgia

In Proceedings 27th International Conference on Extending Database Technology, EDBT 2024, Paestum, Italy, March 25 - March 28

Bib HTML

@inproceedings{DBLP:conf/edbt/TsapelasK24,
  author = {Tsapelas, Christos and Koutrika, Georgia},
  editor = {Tanca, Letizia and Luo, Qiong and Polese, Giuseppe and Caruccio, Loredana and Oriol, Xavier and Firmani, Donatella},
  title = {QPSeeker: An Efficient Neural Planner Combining Both Data and Queries through Variational Inference},
  booktitle = {Proceedings 27th International Conference on Extending Database Technology,
                    {EDBT} 2024, Paestum, Italy, March 25 - March 28},
  pages = {307--319},
  publisher = {OpenProceedings.org},
  year = {2024},
  url = {https://doi.org/10.48786/edbt.2024.27},
  doi = {10.48786/EDBT.2024.27},
  timestamp = {Fri, 22 Mar 2024 11:12:28 +0100},
  biburl = {https://dblp.org/rec/conf/edbt/TsapelasK24.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  abbr = {EDBT},
  bibtex_show = {true},
  selected = {true},
  html = {https://openproceedings.org/2024/conf/edbt/paper-82.pdf}
}

2023

BigVis

Natural Language Data Interfaces: From Keyword Search to ChatGPT, Are We There Yet?

Katsogiannis-Meimarakis, George, Tsapelas, Christos, and Koutrika, Georgia

In Proceedings of the 6th International Workshop on Big Data Visual Exploration and Analytics co-located with EDBT/ICDT 2023 Joint Conference

HTML

News

Selected Work

Related projects

Publications

2024

2023