Hesham H Ali
- Computer Science, Professor
General Information
Biography
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 personalized healthcare. He has led several local and national outreach initiatives including Women in IT initiatives, IT education and training programs, and IT summer internship camps.
Teaching Interests
Bioinformatics Algorithms Intro to Graph Theory and Applications Algorithmic Graph Theory and Complex Networks Data Structures and Algorithms Introduction to Bioinformatics Data Analytics Design and Analysis of Algorithms
Research Interests
Hesham Ali has published many articles in the areas of algorithmic graph theory, scheduling, parallel computing and fault-tolerant networks. Other areas of research include the development of graph analysis and generation tools and the application of graph theory in parallel computing and VLSI design.Current research interests include the areas of Biomedical Informatics, Sensor Networks, Graph Theory, Design and Analysis of Algorithms, Data Analytics, Machine Learning, and Mobile Computing.
Service Summary
Hesham led Ali has led several local and national outreach initiatives including Women in IT initiatives, IT education and training programs, and IT summer internship camps.