I am currently a Research Assistant Professor at Sorbonne University, assisting laboratories and teaching at the Faculty of Science and Engineering.
As a Researcher, I am interested in developing algorithms to allow AI systems to explain their behavior to humans and better learn from each other. I conducted my research thanks to a Marie Skłodowska-Curie ITN Fellowship. I started my PhD in Computer Science and Engineering at Técnico in the research group of Artificial Intelligence for People and Society (GAIPS – INESC-ID) co-advised by Ana Paiva, Francisco Melo, and Mohamed Chetouani. I then moved to Sorbonne University as visiting researcher and worked in the research group of Intelligent Systems and Robotics (ISIR).
My PhD thesis titled Explanation-Guided Learning for Human-AI partnership, is currently under review. It includes computational models to generate explanations about intelligent agents’ inner workings such that other agents can learn from them.
Research Interests (among others):
- Explainable/Interpretable Artificial Intelligence
- Interactive Machine Learning
- Reinforcement Learning and Inverse Reinforcement Learning
Courses:
- Computational Methods and Matlab
- Linear Control
- Object Oriented Programming with Python
- AI and Robotics
- Signal Processing and Data Analysis
- Machine Learning for Human-Machine Interaction
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. Please find here my CV.
I am co-organizing Talking Robotics, for info have a look at our website!
silviatulli.com 