Scholar
Ioanna Lykourentzou
Google Scholar ID: m8s9xh8AAAAJ
Associate Professor, Utrecht University
Citations & Impact
Citations
1,639
H-index
20
i10-index
34
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications: 1. 'Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints' accepted at NeurIPS 2025; 2. 'Excited, Skeptical, or Worried? A Multi-Institutional Study of Student Views on Generative AI in Computing Education' accepted at Koli Calling '25, the 25th International Conference on Computing Education Research; 3. 'Transdisciplinary complexity science: deepening system understanding for sustainability' published by Nature Humanities and Social Sciences Communications; 4. 'Beyond 'Just' Text: Can an AI-Generated Graphic Novel Enhance the Reading Experience of Non-Native English Readers?' accepted at Mensch und Computer 2025; 5. New pre-print 'A Hierarchical Integer Linear Programming Approach for Optimizing Team Formation in Education'; 6. Symposium 'Transdisciplinary perspectives on the role of artificial intelligence in supporting team processes and outcomes' accepted at the INGRoup conference; 7. Work 'Enhancing the formation of game development teams: towards a creative-friendly algorithm approach' accepted at the INGRoup conference.
Research Experience
- Currently an Associate Professor at Utrecht University, leading the Collaborative Technologies Lab and coordinating the Computing Science Master's and Information Sciences Honors Bachelor's programs. Previously, she worked as a Senior Researcher at the Luxembourg Institute of Science and Technology, coordinating the European H2020 project CROSSCULT. She has also collaborated with the Human-Computer Interaction Institute of Carnegie Mellon University as a visiting researcher and with INRIA Nancy-Grand Est and the Public Research Center Henri Tudor as a postdoctoral fellow.
Education
- Ph.D. and Electrical and Computer Engineering degree from the National Technical University of Athens.
Background
- Research interests: Human-centered Artificial Intelligence, Computer-Supported Collaborative Work, AI-supported creativity, crowdsourcing, and algorithmic team formation. Background: Develops methods that help people work together, co-create, and innovate at scale and efficiently, in groups or in collaboration with AI. Her approach is interdisciplinary, combining insights from computational science (machine learning, generative AI, agent-based modelling, mathematical optimization) and social sciences (personality testing, team building).
Miscellany
- Serves as Open Software fellow at Utrecht University, part of the Open Science Team of the Faculty of Science, and is a member of the ERCIM and Marie-Curie alumni networks.
Co-authors