About
Aristides Gionis is a Professor at KTH Royal Institute of Technology and an adjunct professor at Aalto University, affiliated with the Division of Theoretical Computer Science. His research group comprises postdocs, doctoral students, and research engineers focused on computational social science and data-driven methodologies.
His core research spans:
- Algorithm design and analysis
- Large-scale data mining techniques
- Graph structure extraction and pattern discovery
- Social network dynamics and influence modeling
- Mitigation of algorithmic bias in digital ecosystems
Current projects include the ERC-funded REBOUND initiative examining polarization mechanisms in online media, supported by WASP and EU SoBigData++ grants. His work bridges theoretical computer science with real-world societal challenges in digital platforms.
Professor Gionis mentors seven doctoral researchers and two postdocs while examining Master's degree projects across multiple KTH programs. His teaching portfolio includes advanced Machine Learning courses and program-integrating computer science instruction.
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