Monday, 17 OCTOBER 2022
09:30 AM — 10:30 AM (CEST)
Keynote: Paolo Pellegretti, Ultrasound System Design and Research Manager, Esaote.
Tuesday, 18 OCTOBER 2022
09:30 AM — 10:30 AM (CEST)
Keynote: Marco Levorato, University of California, Irvine.
Wednesday, 19 OCTOBER 2022
09:30 AM — 10:30 AM (CEST)
Keynote: Nada Philip, Kingston University, UK.
Keynote Speakers
KEYNOTE 1
Date: Monday, 17 OCTOBER 2022
Time: 09:30 AM — 10:30 AM CEST
Topic: Vision on Advanced Ultrasound Diagnostics
PAOLO PELLEGRETTI
Esaote, Ultrasound System Design and Research Manager
Paolo Pellgretti got the degree in Electronic Engineering at the University of Genoa, Italy, in 1991. In 1995 he received the PhD in Pattern Recognition discussing a thesis on Interferometric Synthetic Aperture Radar. From 1996 on he is in Esaote and he was involved in many projects addressing different processing aspects of an ultrasound imaging chain. In about 25 years of activities he was involved in researches on beamforming, non-linear filtering and transmission imaging signal processing. Particularly, as member of a joint Bracco-Esaote research team, he maturated great experience in studying and developing of dedicated hardware and software solutions for ultrasound contrast processing. Recently, from 2008 to 2011, he was leader of a project in cooperation between Esaote and a start-up USA company (Techniscan, Salt lake City , Utah) for the development of an innovative 3D transmission and reflection ultrasound breast scanner. From 2015 to 2020 he was leader of the System Design and Advanced Applications team in Esaote. At present he is the director of the Ultrasound Research and Development Department of Esaote.
KEYNOTE 2
Date: Teusday, 18 OCTOBER 2022
Time: 09:30 AM — 10:30 AM CEST
Topic: Personalized Stress Management for Pregnant Women from Underserved Communities
MARCO LEVORATO
University of California, Irvine - Associate Professor
Marco Levorato is an Associate Professor in the Computer Science department at UC Irvine. He completed the PhD in Electrical Engineering at the University of Padova, Italy, in 2009. Between 2010 and 2012, he was a postdoctoral researcher with a joint affiliation at Stanford and the University of Southern California. His research interests are focused on distributed computing over unreliable wireless systems, especially for autonomous vehicles and healthcare systems. His work received the best paper award at IEEE GLOBECOM (2012). In 2016 and 2019, he received the UC Hellman Foundation Award and the Dean mid-career research award, respectively. His research is funded by the National Science Foundation, the Department of Defense, Intel and Cisco.
Abstract: Maternal care aims to improve the overall health and welfare of an unborn child and pregnant women. The quality of maternal care in the US often depends on the individual's socioeconomic status and access to health care, education, and type of insurance; consequently underserved communities either do not receive satisfactory care or receive delayed and infrequent care, resulting in poor birth outcomes and a decline in the mother's overall health. Contemporary nursing models emphasize the role of self-management. In this talk, I will provide an overview of the UNITE project, whose objective is to integrate traditional maternal care with low-cost IoT-based monitoring and intervention. In particular, I will discuss the solutions we developed for stress detection and management, and the many technical challenges we encountered. Specifically, I will first focus on the multi-tiered edge-cloud we built to collect a wide spectrum of signals from wearable and mobile sensors, as well as the techniques we deployed to make information flow and real-time analysis possible given the communication and computing constraints of the devices composing the system. Then, I will illustrate the need for personalized algorithms, and the associated online learning problem, which requires innovative - context-aware - approaches to real-time data collection.
KEYNOTE 3
Date: Wednesday, 19 OCTOBER 2022
Time: 09:30 AM — 10:30 AM CEST
Topic: Big Data Analytics for Personalized Chronic Non-Communicable Diseases Management
NADA PHILIP
Kingston University, UK - Associate Professor
Nada Y. Philip is an Associate Professor in the field of Mobile health (mHealth) at Kingston University London. She is the founder of the research group Digital Media for Health in 2012. She obtained her PhD in mHealth with the thesis title ’Medical Quality of Service for Optimised Ultrasound Streaming in Wireless Robotic Teleultrasonography System’ from Kingston University, UK in 2008. Her research interests are mainly in the advancement of Data and Multimedia Communication, Networking, and Information Technology for healthcare applications. She is the PI and Co-PI of many national and international mHealth projects in the areas of personalized health for Diabetes, Cancer and COPD conditions, 5G health, wearables and cloud computing, IoT, AI and Big data analytics for health, social robotics for health, end to end QoS and QoE in medical video streaming. She is the author and co-author of more than 100 journals, peer reviewed conferences and book chapters. She is a member of the editorials and the review panels for many journals including IEEE-IoT, JSAC and WCMC. She is the editor of the IEEE e-health TC newsletter. She has been an invited speaker in many workshops and events. She is a reviewer on both the MRC and the NIHR research bodies and other international funding bodies. She is a fellow of the Higher Education Academy, Senior Member of the IEEE, IEEE communication society and the IEEE Engineering in Medicine and Biology.
