I’m a Marie Skłodowska-Curie ITN Fellow and a soon-to-be graduated PhD Candidate in Computer Science and Engineering at Técnico in the research group of Artificial Intelligence for People and Society (GAIPS – INESC-ID). My research is part of the ANIMATAS project, co-advised by Ana Paiva, Francisco Melo, and Mohamed Chetouani. From January 2020 I am at Sorbonne University in the research group of Intelligent Systems and Robotics (ISIR).
My thesis (recently submitted) is titled Explanation-Guided Learning for Human-AI partnership and includes computational models to generate explanations about agent inner workings such that other agents can learn from them. My approach is inspired by human social learning theories and causal models.
Research Interests (among others):
- Explainable/Interpretable Artificial Intelligence
- Causal reasoning
- Interactive Task Learning
- Reinforcement Learning and Inverse Reinforcement Learning
I am looking for research opportunities and cool jobs. Do not hesitate to contact me on silvia.tulli [at] gaips.inesc-id.pt or tulli[at]isir.upmc.fr and follow my updates on Github, ResearchGate, GoogleScholar, Linkedin, Twitter.
I am co-organizing Talking Robotics, for info have a look at our website!