Elisa Ricci is an Associate Professor with Department of Information Engineering and Computer Science (DISI) at the University of Trento and the head of the Deep Visual Learning research group at Fondazione Bruno Kessler (FBK). She is the scientific manager of the Joint Laboratory on Vision and Learning between FBK and DISI. Her research interests are directed to the development of deep learning algorithms and, in particular, of transfer learning and domain adaptation methods, with applications in the field of computer vision, multimedia analysis and robot perception.

Elisa received her MSc (2004) and PhD degree (2008) in Electrical Engineering from the University of Perugia. Previously, she was an Assistant Professor at the University of Perugia (2011-2017) and a researcher at the Idiap Research Institute (2009) and FBK (2010). She has been a visiting researcher at the Swiss Federal Institute of Technology and the University of Bristol. In 2018 she obtained the Italian National Scientific Qualification to Full Professor in the sectors 09/H1 and 01/B1.

Elisa has co-authored more than 100 scientific publications and she regularly publishes in top-tier journals and conferences in computer vision and multimedia (CVPR/ICCV/NeurIPS/ACM MM, IEEE TPAMI, IJCV, IEEE TMM, IEEE TIP). Her publications have been cited over 5,500 times and her Google Scholar H-index is 39. She has received numerous awards for her scientific activity (Best paper award ACM MM 2015, INTEL Best Paper ICPR 2016, etc). She is a member of the editorial board of the journals IEEE Transactions on Multimedia, ACM Trans on Multimedia Computing Communications and Applications and Multimedia Systems Journal (MMSJ). She is the Program Chair of ACM MM 2020, the Diversity Chair of ACM MM 2022, Track Chair of ICPR 2020, Special Session Chair at ICME 2022. She was/is Area Chair at WACV 2021, AISTATS 2021, BMVC 2018-2020, ICMR 2019, Senior Program Committee member of IJCAI 2019, ACM Multimedia 2016-2019, Area Chair at ECCV 2016, ICCV 2017 and Associate Editor at ICRA 2018, 2019, 2021. She regularly serves as program committee member and reviewer for the main international conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ACM Multimedia, IROS, ICRA, ICPR, etc) and journals (IEEE TMM, IEEE TPAMI, IJCV, CVIU, MVA, etc) in computer vision, multimedia and robotics.

She is/was the Principal Investigator and/or participated to several national and international projects. Currently, at UNITN she is the local coordinator of the EU H2020 project SPRING (2020-2023), where she leads research activities in multi-modal human behavior analysis for human robot interactions. At FBK she leads research in video analysis in the EU H2020 project MARVEL (2020-2022) and EU ISFP project PROTECTOR (2020-2022). At UNITN she is also involved as senior researcher in the H2020 EU project AI4Media (2020-2022) and the project TALENT – joinT uAv and surveLliance vidEo coNtent analysis and mining for smarT city (2019-2021) funded by MAE Italy-China R&D cooperation program.

Elisa Ricci is also involved in several industrial projects and collaborations with companies, both at national and international level. Currently, she is the principal investigator of the project BONSAI – Analyzing Human Behaviors with Online and Structured Adaptation  funded by Huawei Technologies. She has also recently awarded with several gifts and donations within company donation programs (Snap Inc in 2018-2020, SAP SE in 2018-2019). She holds a US patent on “Self-adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions”.