Scholar
Serena Ivaldi
Google Scholar ID: j8pBZv8AAAAJ
Senior Research Scientist (Directrice de Recherche), INRIA
Citations & Impact
Citations
3,776
H-index
26
i10-index
52
Publications
20
Co-authors
118
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Serving as Associate Editor of IEEE Transactions on Robotics (2025-...), previously served as Editor in Chief of the International Journal of Social Robotics (2021-2024) and Associate Editor of IEEE Robotics and Automation Letters (2017-2021), for which she received the IEEE RA-L Distinguished Service Award as Outstanding Associate Editor. Served as Program Chair of IEEE-RAS Humanoids 2019 and IEEE ARSO 2023, and General Chair of IEEE-RAS HUMANOIDS 2024. Received the Suzanne Zivi Award 2020 for excellence in research and was nominated by Robohub and Women in Robotics in the list of “50 Women in Robotics you need to know about” in 2021. Also served as a Judge for the ANA Avatar Xprize competition.
Research Experience
- When she joined Inria in 2014, she was one of the founding members of the LARSEN team, directed by Francois Charpillet. Currently involved in several projects including PEPR O2R – AS3, EuROBIN, EXOSIM, ATOR, ENACT, focusing on robot decision-making, learning, social interaction, personal robotics challenges, exoskeletons for hospital staff support, etc.
Education
- Obtained her PhD from the Italian Institute of Technology in Genoa, Italy, under the supervision of Francesco Nori and Giorgio Metta in 2011; defended her French Habilitation to Direct Research (HDR) in November 2022. She was a postdoc at the Intelligent Autonomous Systems Lab of TU Darmstadt, Germany, with Jan Peters, and at the Institute of Intelligent Systems and Robotics (ISIR) in Paris, France, with Olivier Sigaud and Vincent Padois.
Background
- Currently a senior research scientist/research director at the Inria Center of the University of Lorraine (formerly Inria Nancy Grand-Est) and Loria, and head of the Human Centered Robotics Team (HUCEBOT). Her research focuses on robots collaborating with humans, combining machine learning with control to improve the prediction, adaptation, and interaction skills of robots. She strongly believes in user evaluation to improve usability, trust, and acceptance.
Miscellany
- No specific hobbies or interests mentioned.
