BSc in Computer Science
University of Duhok (KRG - Iraq)
Advisor: Majid M. Nori
B.Sc Thesis: Minimal Perfect Hash Function.
TrajAnalytics: A Web-Based Visual Analytics Software of Urban Trajectory Data, Ye Zhao, Shamal AL-Dohuki, Thomas Eynon, Farah Kamw, David Sheets, Chao Ma, Yueqi Hu, Xinyue Ye, Jing Yang, IEEE Workshop on Visualization in Practice: Open Source Visualization and Visual Analytics Software, IEEE Visualization Conference 2016.
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Image Fusion for Resolution Improvement of Multispectral Satellite Images, Ahmed AK. Tahir, Shamal AL-Dohuki, The XVII International Conference - Multidisciplinary, vol. 31/2017, ISSN 2067-7138, held in 2-3 June, 2017, Sebes, Romania.
Advanced technologies in sensing and computing have created a variety of urban datasets of cities and their citizens. Understanding and analyzing the large-scale, complex data reflecting city dynamics is of great importance to enhance both human lives and urban environments. Exploratory visualization is a powerful tool to understand the data and to reveal knowledge intuitively, for both real-time monitoring and historical data analytics. Shamal AL-Dohuki, a PhD candidate in the Department of Computer Science at Kent State University, is working with Dr. Ye Zhao with research interests in implementing visual analytics of big urban data.
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NeighborVis is a visual analytics system that allows users to study social media data in a community neighborhood. It is developed to answer the simple questions about an urban community: what is happening at this location, is it good or bad, and can outcomes be improved? It may be a police department considering a blighted street, a planning department considering urban renewal and the "greening" of spaces, a community group wanting to add neighborhood gardens, or a hospital mining its child injury data.