Monash University, Australia
Title: Human-centric Issues in eHealth Software Engineering
Abstract: eHealth software is built by and for humans. However, humans are very different, not limited to age, gender, physical and mental challenges, language, culture, emotions, personality and many others. In this talk I discuss some of our work investigating the challenges of addressing these human differences specifically when designing, building and evaluating eHealth systems. I discuss some of our work trying to address these challenges with improved requirements gathering, design, adaptive systems, and reporting and fixing defects. I briefly review outstanding gaps and limitations with eHealth software for particular groups of users that we are attempting to address.
Bio: John Grundy is Australian Laureate Fellow and Professor of Software Engineering at Monash University. His research interests include software engineering tools and processes, human-centric software engineering, automated software engineering, software architectures, user interfaces, and software security. He currently leads the Human-Centric Software Engineering (HumaniSE) Lab at Monash University. He is Fellow of Automated Software Engineering and Fellow of Engineers Australia. He was awarded IEEE TCSE Distinguished Educator Award in 2014 and ACM SIGSOFT Distinguished Service Award in 2023.
VU University Amsterdam, the Netherlands
Tongji University, China
Title: Tree Hole Action: An AI Approach for Suicide Risk Detection and Online Suicide Intervention
Abstract: Adolescent suicide has become an important social issue of general concern. Many young people express their suicidal feelings
and intentions through online social media, e.g., Twitter, Microblog. It provides the possibility of using Artificial Intelligence and big data technology to detect the posts where someone expressed the suicidal signal from internet social media. Tree-hole Action is an AI approach which can find the persons who have high risk of suicide by analysis of online social media posts. The Tree-hole Rescue Team consists of more than 1,000 volunteers and make the suicide intervention. Since 2018, Tree-hole Rescue Team has prevented more than 6,000 suicides, and rescued a few thousants of lives.
Bio: Professor Zhisheng Huang is a tenured senior researcher at the Department of Artificial Intelligence of VU University Amsterdam, the Netherlands, and a professor at the Mental Health Center Affiliated to Tongji University, China. Prof. Huang is the founder of Tree-Hole Rescue Team, an organization consists of more than 1,000 volunteers for suicide prevention and rescue. Prof Huang is the chief scientist of Intelligent Science at Deepblue AI Technology China and the chief scientist of AI at Haoxinqing Health Industry Group. Prof. Huang obtained a doctorate degree in computer science and logic at the University of Amsterdam in 1994. He has published more than 300 papers, and more than 9 books in Artificial Intelligence, logics, and multimedia. He received the best paper award for the paper entitled "Feasibility Estimation for Clinical Trials" at the 2014 International Conference on Health Informatics (HEALTHINF/BIOSTEC).
