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Talk on "From Early Childhood to Aging: How to use AI, Graph Models and Mobility Data to Advance Next-Generation Healthcare?" by Prof. Hesham H. Ali

We are pleased to inform you about the upcoming seminar by Prof. Hesham H. Ali titled:"From Early Childhood to Aging: How to use AI, Graph Models and Mobility Data to Advance Next-Generation Healthcare?" Everyone interested is cordially invited to attend!

Title:

From Early Childhood to Aging: How to use AI, Graph Models and Mobility Data to Advance Next-Generation Healthcare?

Abstract:

The development of sensor technologies and wearable devices emerged as one of the most exciting and impactful technologies in recently.With the help of such technologies, we move a step closer in achieving the goal of collecting various types of critical data in many application domains. We also have significantly higher computational resources and advanced informatics tools, including complex networks and AI tools. Although these developments are welcomed, there is so much left to be done to take full advantage of the available data gathered. The most critical missing component is the lack of advanced and targeted data analytics. In this talk, we address this challenge by presenting new data analytic tools that connect mobility and heath. We utilize available AI tools in processing the collected data and then introduce new graph modeling and complex networks to analyze the processed data. We will discuss how to employ population-based algorithms to implement the proposed approaches. We demonstrate how the new tools can be applied to analyze all types of mobility and medical data to reveal useful health-related features that can be used to improve healthcare in case studies related to early childhood development, developmental disorders, and aging research. We also utilize graph-theoretic mechanisms to zoom in and out of the network models and extract different types of information at various granularity levels to uncover more knowledge. The proposed approach paves the way towards a new decision support system that leads to new discoveries in biomedical research and healthcare applications.

Speaker's bio:

Hesham H. Ali is a Professor of Computer Science and the director of the University of Nebraska Omaha (UNO) Bioinformatics Core Facility. He served as the Lee and Wilma Seemann Distinguished Dean of the College of Information Science and Technology at UNO between 2006 and 2021. He has been a research collaborator at Mayo Clinic Research Hospital since 2022. He has published numerous articles in various IT areas, including scheduling, distributed systems, data analytics, wireless networks, and Bioinformatics. He has published two books in scheduling and graph algorithms, and several book chapters in Bioinformatics. He has been serving as the PI or Co-PI of several projects funded by NSF, NIH and Nebraska Research Initiative in the areas of data analytics and Bioinformatics. He has also been leading a Research Group that focuses on developing innovative computational approaches to model complex biomedical systems and analyze big bioinformatics data using AI tools and Network models. The research group is currently developing next generation big data analytics tools for analyzing large heterogeneous biological and health data associated with various biomedical research areas, particularly projects associated with infectious diseases, microbiome studies, early childhood development and aging research. He has led several local and national outreach initiatives, including Women in IT initiatives, IT education and training programs, and IT summer internship camps.