Tariq Alsahfi obtained his Ph.D in Computer Sciences from the University of Texas at Arlington in 2020, a M.S. in Computer Sciences at the University of Texas at Arlington in 2016 and B.S. in Computer Science at King Abdul-Aziz University
in 2012. His current research on spatio-temporal data analysis and deep learning methods for forecasting traffic.
Current Research Interests
- Deep learning for spatio-temporal data
- Road Map Generation form GPS Trajectroies
- Improving road map database
- Analyzing and managing trajectry data
- Trajectroy Data Warehousing
Formal Education
Publications
- Journal Papers:
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A Survey on Trajectory
Data Warehouse,
Tariq Alsahfi, Mousa Almotairi, and Ramez Elmasri,Spatial Information Research (14 May 2019)
link
.
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Data Fusion of Heterogeneous Data Sources for Intelligent Transportation Systems,
Tariq Alsahfi, Ramez Elmasri, Mousa Almotairi, Ali Alammari, and Bader Alshemaimri.2020. ACM Trans. Intell. Syst. Technol (submitted)
.
- Conference Papers:
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Road Map Generation and Feature Extraction from GPS Trajectories Data,
Mousa Almotairi, Tariq Alsahfi, Ramez Elmasri,and Bader Alshemaimri, Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS'19),
Chicago, Illinois USA — November 05 - 08, 2019 .
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Challenges of comparing and matching roads from different spatial datasets,
Mousa Almotairi, Tariq Alsahfi, and Ramez Elmasri, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '19),
Rhodes, Greece, June 5-7, 2019. link
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Using Local and Global Divergence Measures to Identify Road Similarity in Different Road Network Datasets,
Mousa Almotairi, Tariq Alsahfi, and Ramez Elmasri, Proceedings of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS'18),
Seattle, WA, USA — November 06 - 06, 2018 . link
