Javier Bajo

Javier Bajo is a Full Professor at the School of Computer Engineering, Polytechnic University of Madrid (UPM). He coordinates the Master's Degree in Artificial Intelligence at UPM and previously held roles as Associate Professor and Director of the Data Center at the Pontifical University of Salamanca (2003–2012). He earned a PhD in Computer Sciences (summa cum laude) from the University of Salamanca (2007), a Master’s in E-Commerce (2006), and degrees in Computer Systems Engineering (University of Valladolid, 2001) and Computer Science (Pontifical University of Salamanca, 2003).

His research focuses on multi-agent systems, social computing, ambient intelligence, and AI ethics. He has led 11 research projects and contributed to over 50 others, with funding from EU, national, and regional entities. He has authored/co-authored over 300 publications, including 49 in JCR-indexed journals, and co-chaired 30+ international conferences (e.g., ACM SAC, IEEE FUSION).

His work bridges theory and practice: developing multi-agent architectures for smart cities, optimizing traffic systems, and addressing algorithmic fairness. He also pioneers gamification in machine learning education and applies AI to healthcare diagnostics and infrastructure management.

Key contributions include:

• Smart waste collection systems with LoRaWAN and route optimization
• Anti-feromone algorithms for urban rescue robotics
• Causal models for bias mitigation in AI
• Multi-sensor fusion for crop irrigation monitoring

His educational innovations include challenge-based learning frameworks for computational biology and flipped classrooms for sustainability education.