Felipe Meneguzzi

Felipe Meneguzzi is a Professor of Computing Science at the University of Aberdeen, where he leads research in automated planning, goal and plan recognition, multiagent systems, BDI agents, and machine learning. He also holds a Bridges Professorship at the Pontifical Catholic University of Rio Grande do Sul (PUCRS) in Brazil and leads the Group on Artificial Intelligence at PUCRS. He is a Senior Member of the ACM and AAAI.

• PhD in Artificial Intelligence (2009) from King's College London
• Postdoctoral Fellowship at Carnegie Mellon University

His research spans theoretical and applied artificial intelligence, with a focus on automated planning, decision-making in autonomous agents, and AI applications in neuroscience. He has contributed to landmark-based methods in plan recognition, generalized decision-making in BDI agents, and clinical AI for autism spectrum disorder detection.

Key publications include:

• Landmark-based approaches for goal recognition as planning (IJCAI 2024)
• Empowering BDI Agents with Generalised Decision-Making (AAMAS 2024)
• Identification of autism spectrum disorder using deep learning (Neuroimage: Clinical, 2017)
• Visually-impaired accessibility application via CNNs (IJCNN 2017)
• Norm conflict identification with deep learning (AAMAS 2017 workshop)

Scientific honors include:

• Best SPC member at AAMAS 2021
• Blue-Sky Paper award at AAMAS 2024
• Google Research Awards for Latin America (2016, 2019)
• Runner-up for Microsoft Research Faculty Fellowship (2013)
• CNPq Highly Productive Researcher Fellowship (Brazil)

As an advisor, he supervised Ramon Pereira's MSc dissertation and PhD thesis, both recognized as top works in Brazilian AI. He actively mentors students in automated planning, machine learning, and multiagent systems through projects like the final year project repository and the graduate student repository.