Georgia Christofidi

Short Bio

I am a second year Ph.D. student at IMDEA Software Institute, in Madrid, Spain, under the supervision of Assistant Professor Thaleia Dimitra Doudali.

My research lies at the intersection of Machine Learning and Computer Systems. I am interested in the ways we can use machine learning methods inside computer systems software to improve their performance and resource efficiency.

In 2022, I earned my Diploma in Electrical and Computer Engineering at the National Technical University of Athens in Greece.

Publications

Do Predictors for Resource Overcommitment Even Predict?

Georgia Christofidi and Thaleia Dimitra Doudali.
In 4th Workshop on Machine Learning and Systems (EuroMLSys ’24), April 22, 2024, Athens, Greece.

ACM Link | Presentation | Poster | Github
Is Machine Learning Necessary for Cloud Resource Usage Forecasting?

Georgia Christofidi, Konstantinos Papaioannou, and Thaleia Dimitra Doudali.
In 14th Symposium on Cloud Computing (ACM SoCC’23), October 30 - November 1, 2023, Santa Cruz, California.

ACM Link | Slides | Poster | Github
Toward Pattern-based Model Selection for Cloud Resource Forecasting.

Georgia Christofidi, Konstantinos Papaioannou, and Thaleia Dimitra Doudali.
In 3rd Workshop on Machine Learning and Systems (EuroMLSys ’23), May 8, 2023, Rome, Italy.

ACM Link | Presentation | Poster | GitHub

Professional Service

Artifact Evaluation Committee Member:

18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2024)
2024 USENIX Annual Technical Conference (2024 USENIX ATC)
29th Architectural Support for Programming Languages and Operating Systems (ASPLOS 2024)
19th European Conference on Computer Systems (EuroSys'24 AE)
18th European Conference on Computer Systems (EuroSys'23 AE Fall)
6th Conference on Machine Learning and Systems (MLSys 2023)

Shadow PC Member:

20th European Conference on Computer Systems (EuroSys'25)

Talks

30th International European Conference on Parallel and Distributed Computing (EuroPar ’24)

Presentation of an overview of my doctoral thesis, entitled "Augmenting Cloud Resource Management with the Necessary Amount of Machine Intelligence" at the PhD Symposium.
Universidad Carlos III, Madrid.
ACM Celebration of Women in Computing (womENcourageTM 2024)

Poster Presentation.
Universidad Carlos III, Madrid.
4th Workshop on Machine Learning and Systems (EuroMLSys ’24)

Presentation of publication: "Do Predictors for Resource Overcommitment Even Predict?"
Athens, Greece.
Feminine Innovation 2024: Women and girls in Montegancedo Event

Presentation on Generative AI tools in storytelling.
Universidad Politécnica de Madrid.
IMDEA Software Institute

Software Seminar Series - "Is Machine Learning Necessary for Cloud Resource Usage Forecasting?"
Madrid, Spain.

Slides
14th annual ACM Symposium on Cloud Computing (SoCC ’23)

Presentation of publication: "Is Machine Learning Necessary for Cloud Resource Usage Forecasting?"
Santa Cruz, California.
5th Summit on Gender Equality in Computing (GEC '23)

Poster Presentation on Cloud Resource Usage Forecasting.
Athens University of Economics and Business.
3rd Workshop on Machine Learning and Systems (EuroMLSys ’23)

Presentation of publication: "Toward Pattern-based Model Selection for Cloud Resource Forecasting."
Rome, Italy.
Feminine Innovation 2023: Women and girls in Montegancedo Event

Artificial Intelligence tools presentation.
Universidad Politécnica de Madrid.
Fireballs Workshop #03 on Fireball Databases and Machine Learning

Presentation and hands-on demonstration of the software developed during activity at the National Observatory of Athens.
University of Glasgow.

Software | Theoretical Background | Workshop Slides

Short Bio

Education

Publications

Professional Service

Talks