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 domain adaptation, continual and self supervised methods, with applications in the field of computer vision, multimedia analysis and robot perception. Elisa has co-authored more than 150 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 11,000 times and her Google Scholar H-index is 52. She has received numerous awards for her scientific activity (Honorable Mention Award ICCV 2021, Best paper award ACM MM 2015, INTEL Best Paper ICPR 2016, etc). She is a member of the editorial board of the journals Patter Recognition and Computer Vision and Image Understanding. She is/was the General Chair of ICMR 2025, Program Chair of ECCV 2024, ACM MM 2020, the Diversity Chair of ACM MM 2022, Track Chair of ICPR 2020, Special Session Chair at ICME 2022. Since 2023 she is member of the ICRA Conference Editorial Board as Editor of the Visual Perception and Learning Area. She was/is Area Chair at CVPR 2024, NeurIPS 2023, ECCV 2016, ICCV 2017WACV 2021, AISTATS 2021, BMVC 2018-2020, ICMR 2019, Senior Program Committee member of IJCAI 2019, ACM Multimedia 2016-2023, 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 (2020-2023) and she is the technical coordinator of the EU ISFP project PRECRISIS (2023-2025). At UNITN she is also involved as senior researcher in the H2020 EU project AI4Media (2020-2022), Horizon Europe projects AI4TRUST and ELIAS. Elisa Ricci is also involved in several industrial projects and collaborations with companies, both at national and international level. She was also recently awarded with several gifts and donations within company donation programs (Snap Inc, SAP SE, Meta, Huawei, etc). She holds a US patent on “Self-adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions”