Contact me

Georgios Gousios
TU Delft EWI / ST
Building 28
Room W4.560
van Mourik Broekmanweg 6
2628 XE, Delft
the Netherlands

+31 (0) 15 278 5546
g.gousios @ tudelft.nl

Welcome to my home page!

As of Nov 2020, I am on leave from TU Delft, working at Facebook.

I am associate professor of software engineering at the Software Engineering Research Group group, Delft University of Technology, leading the group's Software Analytics lab and co-leading the group's Machine Learning for Software Engineering lab. I do research in the broad area of software engineering. I am teaching Big Data Processing at the BSc level and Machine Learning for SE at the MSc level. I am also speaking and blogging.

Latest news

• Dec 2020» Pre-print of our upcoming paper at TOIT on (missing reference) and techical report on our work on optimising the PR process at Microsoft (covered by Venturebeat).
• Oct 2020» Pre-prints of our FSE 2020 papers on ML-based type prediction for Python, library selection and questions from software engineers to data scientists.
• Sep 2020» I have been promoted to Associate Professor.
• Jun 2020» Together with Diomidis Spinellis, I will be co-chairing FSE 2021 to be held in Athens, Greece.
• May 2020» New papers on dependency resolution progress and ML-based off-by-one error detection.
• Jan 2020» New visiting student Maliheh Izadi from Sharif University. Welcome!

Old news

Current Projects

• FASTEN: Making software ecosystems robust by making package management more intelligent.
• CodeFeedr: Developing next-gen software analytics platforms.
• AI4Fintech: Making large software-based organizations more efficient. Leader of the software analytics track.
• GHTorrent: Making the Github REST API queriable.

Current Team

I have the pleasure of working with the following people (alumni):

Postdocs

• Ayushi Rastogi (Jul 2018), working on developer productivity (also with Arie van Deursen).

PhDs

• Joseph Hejderup (Feb 2017): Dependency management and static analysis
• Elvan Kula (May 2019): Software process optimization, also at ING
• Mehdi Keshani (May 2019): Dependency management and static analysis
• Amir Mir (Oct 2019): Dependency management and machine learning

Developers

• Wouter Zorgdrager (Feb 2019): Developer on the FASTEN project