Roxana Radulescu

Roxana Radulescu is an Assistant Professor in AI and Data Science at the Department of Information and Computing Sciences, Utrecht University. She previously held an FWO Postdoctoral Fellowship at Vrije Universiteit Brussel. Her work bridges multi-agent systems, reinforcement learning, and multi-objective decision-making, focusing on hybrid human-agent collectives.

Her research themes include:

• Multi-Objective Reinforcement Learning: Integrating optimal transport and utility-based frameworks for complex environments.
• Cooperative AI: Studying emergent cooperation in uncertain incentive settings and public goods games.
• Benchmark Development: Creating the MOMAland open-source Python library for standardized multi-agent evaluation.

Recent publications analyze Pareto front dynamics, ethical AI alignment, and non-linear utility optimization. She actively contributes to conference tutorials at AAMAS 2024 and ESSAI 2023, emphasizing practical MORL applications.

Scientific recognition includes:

• FWO Postdoctoral Fellowship
• Co-organizing ECAI 2023 workshops

She teaches courses on Data Science and Society and Multi-Agent Systems, with office hours on weekdays. Contact: r.t.radulescu@uu.nl | contact@roxanaradulescu.com