CIS Department Sabbatical Presentations: Dr. Heidi Feng and Dr. Wei Yu
Department of Computer and Information Sciences
12:00 PM, Friday May 5, 2023
7800 York Rd. Room 459
Title: Making Personal Health Data Accessible to People with Down Syndrome
Presenter: Jinjuan Heidi Feng, Ph.D., Professor, Department of Computer and Information Sciences
Abstract: Most patient-facing health portals present health data to people with Down Syndrome (DS) in ways that are inaccessible to them, making it difficult to interpret, understand and utilize the data to make informed decisions and behavioral changes. Previous literature suggests that storytelling may make data presentation more accessible and engaging. We are working on a multi-phase, mixed methods co-design project to investigate the potential of data storytelling at improving the accessibility and understanding of personal health data for adults with DS. Through the project, we gained understanding on the capabilities of people with DS regarding graphical information recognition, interpretation and engagement as well as the challenges that they encounter during the process. We also developed inclusive design methods and materials for facilitating the involvement of people with DS in design studies.
Title: Foundation and Application of Building Edge Intelligence in Cyber-Physical Systems
Presenter: Wei Yu, Ph.D., Professor, Department of Computer and Information Sciences
Abstract: Advancements in information technologies (sensing, computing, network communication, and data science, among others) have driven the development of cyber-physical systems (CPS), enabling various smart systems in energy, transportation, and manufacturing. While machine learning has been achieving remarkable success in several areas in recent years, applying machine learning in CPS to realize edge intelligence faces significant challenges and must consider the strict requirements concerning performance and security. Thus, it is critical to establish the foundations and applications of synergizing machine learning in CPS and address the two interconnected issues: how to leverage machine learning as a viable data analytics tool to improve the performance of CPS and the investigation of the security risk of integrating machine learning in CPS and the design of countermeasures. In this talk, I will introduce some of our recent research efforts in both directions, collaborating with Ph.D. students in my research group.
Tags: cis, computer and information sciences, fcsm, Research, sabbatical, Sabbatical Presentation
Categorised in: General
This post was written by Ecton, Abbie S.