بیست و هشتمین کنفرانس بین المللی کامپیوتر انجمن کامپیوتر ایران
Title: Holistic Mental and Physical Health Promotion Using Big Everyday Data
Speaker: Amir M. Rahmani, PhD, MBA
Affiliation: Associate Professor of CS, EECS, and Nursing, Associate Director of the UCI Institute for Future Health, University of California, Irvine, USA
Future Health requires to leverage the fact that each individual is unique due to his/her/their omics (genomic, transcriptomic, metabolomics, etc.), lifestyle, environment, and socioeconomic factors. Progress in sensors, mobile and ubiquitous computing, medical, pharmaceutical and nursing sciences, informatics, genomics, and Artificial Intelligence allows gathering information about individuals to build their own personal models for predictive and preventive guidance. Cybernetics (i.e., continuous closed-loop feedback control) principles can provide perpetual guidance to individuals toward a healthy life in real time. Achieving the goal of preventive health systems in the cybernetic model occurs through the flow of several components. From personalized models, we can predict health status using perpetual sensing and data streams. Given these predictions, we give precise recommendations to best suit the prediction for that individual. To enact these recommendations, we use persuasive technology to deliver and execute targeted interventions. In this talk, I describe how AI and wearable technology are enabling big health data collection in everyday settings, analytics to objectively assess physical and mental health, and smart recommendation. I present examples of how IoT-based remote monitoring and intervention systems are being used to address real-life health and wellbeing issues, and how sense-making is performed on such fine-grained big data.
Amir M. Rahmani is the founder of Health SciTech Group (healthscitech.org) at the University of California, Irvine (UCI) and the co-founder and Associate Director of the Institute for Future Health (futurehealth. uci.edu), a campus-wide Organized Research Unit (ORU), at UCI. He is an Associate Professor of Nursing, Computer Science, and EECS at UCI and is also a life-time adjunct professor (Docent) in embedded parallel and distributed computing at the Department of Computing of University of Turku (UTU), Turku, Finland. His research is in Internet-of-Things (IoT), e-health, ubiquitous computing, bio-signal processing, health informatics, and big health data analytics. He is especially excited about novel sensing, computation/analytics, communication, and networking paradigms, applied to healthcare/medical and wellbeing applications. He has been leading several NSF, NIH, Academy of Finland, and European Commission funded projects on Smart Pain Assessment, Preventing Preterm-Birth, Family-centered Maternity Care, Stress Management in Adolescents, and Remote Elderly and Family Caregivers Monitoring. He has received numerous research excellence awards (e.g., 2x from Nokia Foundation) and best paper awards. He is the co-author of more than 250 peer-reviewed publications and the associate editor-in-chief of ACM Transactions on Computing for Healthcare and Editorial Board of Nature Scientific Reports.
Title: The Journey is (largely) the destination: Lessons learned in modeling of dependability and security for complex networked systems
Speaker: Sahra Sedigh Sarvestani, PhD
Affiliation: Associate Professor and Distance Learning Coordinator, Missouri University of Science & Technology
In quantifying dependability and security for networked systems, half the battle is identifying dependencies. Complexity raises the stakes of this battle. To the victor go the spoils, assuming unassailable victory – established in this context through rigorous validation of each model. Is that currently feasible for large-scale systems? While examining this question, I will discuss dependability and security models we have created at the Sendecomp laboratory of the Missouri University of Science and Technology. The focus will be on the challenges we faced, our solutions to a number of these challenges, and the lessons we learned on the way.
ارسال پیشنهاد برگزاری کارگاه1401/09/11
اعلام نتایج داوری مقالات1401/10/10
ثبت نام و ارسال نسخه نهائی مقاله1401/10/20