TeamMeUP: Assessing the potential of computational matchmaking for the game development sector 

Project Principal Investigator

TeamMeUp, funded by The Dutch Research Council,  explores the potential of computational solution for team formation in the video game industry. Video game development is a creative sector with significant economic impact, relying on the efficient collaboration of creative professionals from diverse backgrounds to develop the next successful game. However, assembling an efficient team of these professionals is a challenge, leading to considerable economic and social consequences for the industry. Using optimization algorithms and insights from social sciences, TeamMeUp aims to help address the issue of inefficient talent coordination in the game industry. 

Timeline: 2025
Partners: Utrecht University
Keywords: team formation optimization, computational matchmaking, talent coordination, game development industry 

Generative Artificial Intelligence in Programming Education

Project co-Principal Investigator

​The goal of the "Generative AI in Programming Education" project is to explore the implications of generative AI tools, with emphasis on Copilot and ChatGPT, on programming education and to develop a web toolkit with resources and best practices to help teachers understand and successfully embed these tools into their teaching and assessment practices. The project is supported by the Utrecht University's Education Incentive Fund (Utrechts Stimuleringsfonds Onderwijs USO).

Timeline: 2022 - 2024
Partners: Utrecht University
Keywords: AI-enhanced software development, Generative Artificial Intelligence, Education transformation, Future-proof programming

 

CROSSCULT
Empowering reuse of digital cultural heritage in context-aware crosscuts of European history

Project Coordinator

The CROSSCULT research project was part of to the "Reflective Societies: Cultural Heritage and European Identities"  topic of European Commission's Horizon 2020 programme. The project consisted of 11 European institutions and 14 associated partners, from the IT, History and Cultural Heritage sectors. Our goal is to help lower cultural barriers and enable the European public to reflect on its common identity, by connecting cultural digital resources, citizen viewpoints and physical venues through technology.

Timeline: 2016 - 2019
Partners:  University College London, French National Center for Scientific Research-CNRS, University of Malta, Centre Virtuel de la Connaissance sur l'Europe, University of Vigo, University of Peloponnese, Technological Educational Institute of Athens, University of Padova, GVAM Guías Interactivas S.L., The National Gallery London
​Keywords: Smart cities, smart venues, reflective societies, citizen science

 

aCCoRdO
Computational methods for human use optimization in complex crowdsourcing 

Principal Investigator

 The aCCoRdO project was a scientific collaboration with the Human-Computer Interaction Institute, Carnegie Mellon University. The project focused on the topic of advanced computational techniques to optimize the involvement of humans in complex crowdsourcing environments. The project was funded by the National Research Fund of Luxembourg (FNR).​

Timeline: 2015 - 2016
Partner: Human-Computer Interaction Institute, Carnegie Mellon University
Keywords: Crowdsourcing, distributed teams

 

Experimedia BLUE

Project Leader

Experimedia BLUE, an FP7 European Commission project, focused on the improvement of QoE (Quality of Experience) of museum visitors, by offering personalized routing and exhibit descriptions tailored to the visitors' visiting styles and cognitive preferences. A range of on-line and on-site technologies were used for this purpose including social network games, indoor localization, scheduling and personalized recommendations. The project involved real users, in a high-technology museum (Foundation of the Hellenic World) in Greece.

Timeline: 2012 - 2013
Partner: University of Peloponnese
Keywords: Future Media Internet, Quality of Experience 

 

RHEA
Collective Intelligence based Algorithms for the Improvement of Corporate Functions with Application on Operational Risk Management 

Principal Investigator

RHEA, a project funded by the Luxembourg National Research Fund (FNR) under the Marie-Curie COFUND programme, focused on improving knowledge production in corporate wikis by designing algorithm-based mechanisms that combine the collective intelligence of the corporate crowd with machine learning and resource allocation techniques. The application field of the project was operational risk management.

Timeline: 2012 - 2014
​Partner: INRIA - Nancy Grand Est
Keywords: corporate wikis, knowledge harnessing, operational risk management