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Prof. Hesham H. Ali, USA
Professor Dr. Hesham H. Ali, PhD
UNO Bioinformatics Core Facility
College of Information Science and Technology
University of Nebraska at Omaha
Title:
Big Data Analytics and AI Approaches for Advancing
Biomedical Research and Personalized Healthcare
Abstract
We live in data-rich societies. The availability of all types of data in many application domains continues to grow, and data collection mechanisms continue to expand in number and sophistication. In such scenario, researchers who try to mine knowledge from the available data continue to play the catchup game and struggle to get the most out of the raw data. It may be argued that extracting useful, and in some cases critical, knowledge from the available raw data can be considered as the single most outstanding research problem of our generation. Developing innovative data integration and mining techniques along with clever computational methods to implement them will be critical in addressing such problem and taking advantage of the many associated opportunities. This talk demonstrates how graph modeling and population analysis, along with AI techniques, can be used to model and integrate heterogenous data to solve complex problems in the medical domain. Exciting recent results from several case studies are presented to validate this claim and show how using AI and graphs/networks can be applied to address major challenges in advancing healthcare. The talk will highlight case studies related to critical applications in biomedical informatics including cancer research, wireless sensors and wearable devices for health assessment, and healthy early childhood development.
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 published numerous articles in various IT areas including scheduling, distributed systems, data analytics, wireless networks, and Bioinformatics. He has also 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, wireless networks 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. The research group is currently developing several 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 also been leading two projects for developing secure and energy-aware wireless infrastructure to address tracking and monitoring problems in medical environments, particularly to study mobility profiling for advancing healthy aging research and personalized healthcare
