Hesham Ali

Hesham AliHesham 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 a 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. Read More Read Less

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Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology37 %
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Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology37 %
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Biomedical Engineering Systems and Technologies37 %
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Chemical Product Formulation Design and Optimization33 %
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Probiotics, the Natural Microbiota in Living Organisms41 %
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Analysis and Design of Networks-on-Chip Under High Process Variation37 %
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Analysis and Design of Networks-on-Chip Under High Process Variation37 %
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Brain Informatics and Health36 %
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Biomedical Engineering Systems and Technologies36 %
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Le discours politique yéméniteNR
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Harnessing AI and Machine Learning for Precision Wellness4 % NR
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Bioprospects of MacrofungiNR
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Microbial SurfactantsNR
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Probiotics, the Natural Microbiota in Living OrganismsNR
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Bioprospects of MacrofungiNR
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Microbial Surfactants1 % NR
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Fear in SoulsNR
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Fear in Flesh12 % NR
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