Experience
Ali Hurson CV | |
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Areas of Interest
Parallel and Distributed Systems, Databases, Mobile-Databases, Pervasive and Mobile Computing.
With the advance in technology, the data distribution issue has evolved to data integration from heterogeneous sources. Multi-databases are designed to allow access to heterogeneous and autonomous data sources.
The concept of mobility has introduced additional complexities and restrictions in multi-database systems: reduced capacity network connection, processing, resource, and power restrictions.
An extended multi-database system that facilitates “anytime, anywhere” access to information is called a Mobile Data Access System (MDAS).
Within the scope of MDAS, we distinguish three classes of services: Broadcast based services, On-demand based services, and Pervasive based services. Within the scope of broadcasting, we introduce and evaluate algorithms that address: data allocation and retrieval on single and parallel channels, application of indexing on the air channel(s), access conflict and conflict resolution, and power management.
Within the scope of on-demand services with regard to technological limitations, we introduce and analyze solutions that address: query processing, location dependence, location awareness, continuous queries, application of mobile agents, multimedia data processing, transaction processing, power management, ad hoc networking, caching, and security.
Selected Publications
Books/Book Chapters
Hurson, A.R. (editor), Advances in Computers, Vol. 98, Elsevier, 2015.
Hurson, A.R. and Sarbazi-Azad (editors), Energy Efficiency in Data Centers and Clouds, Advances in Computers, Vol. 100, Elsevier, 2016.
Morrow, T., Sedigh Sarvestani, S. and Hurson, A.R., “PERCEPOLIS: Cyberinfrastructure for Personalized Education," E. Railean, G.Walker, L. Jackson and A. Elci , editors, Encyclopedia of Applied Learning Theory and Design in Modern Education. IGI Global, 2015.
Journals
Wisely, M., Sedigh Sarvestani, S., and Hurson, A.R., “Public Data Dissemination via Broad-casting," Journal of Information Processing, 2015, invited.
Heendaliya, L., Lin, Dan, and Hurson, A.R., “Predicting Traffic On-The-Go," Transactions on Large-Scale Data and Knowledge Control Systems, 2014.
Wagner, C.S., Sedigh Sarvestani, S., and Hurson, A.R., “Using Dynamic Outcome-Based Models to Improve Predictive Search," Journal of Information Processing, 2014, invited.
Sashi, G., Lin, D., Jiang, W., Hurson, A., and Zhang, R., :Traffic Information Publication with Privacy Preservation." ACM Transactions on Intelligent Systems and Technology, 2013.
Conference Proceedings
Heendaliya, L., Wisely, M., Lin, Dan, Sedigh, S., and Hurson, A.R., “Influence-Aware Predictive Density Queries under Road-Network Constraints,” Symposium on Spatial and Temporal Databases, 2015.
Marashi, K., Sedigh Sarvestani, S. and Hurson, A. R., “Quantifying the detrimental effect of interdependency on reliability of cyber-physical systems." Submitted, 2015.
Recent Grants
Department of Education (DOE), “Information and System Assurance for Critical Infrastructure”, $524,331, 2010-2015.
Department of Transportation (DOT), “Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems”, 2015.
National Science Foundation (NSF), MASTER: Missouri Advanced Security Training, Education, and Research, $3,001,744, 2014-2018.
Parallel and Distributed Systems, Databases, Mobile-Databases, Pervasive and Mobile Computing.
With the advance in technology, the data distribution issue has evolved to data integration from heterogeneous sources. Multi-databases are designed to allow access to heterogeneous and autonomous data sources.
The concept of mobility has introduced additional complexities and restrictions in multi-database systems: reduced capacity network connection, processing, resource, and power restrictions.
An extended multi-database system that facilitates “anytime, anywhere” access to information is called a Mobile Data Access System (MDAS).
Within the scope of MDAS, we distinguish three classes of services: Broadcast based services, On-demand based services, and Pervasive based services. Within the scope of broadcasting, we introduce and evaluate algorithms that address: data allocation and retrieval on single and parallel channels, application of indexing on the air channel(s), access conflict and conflict resolution, and power management.
Within the scope of on-demand services with regard to technological limitations, we introduce and analyze solutions that address: query processing, location dependence, location awareness, continuous queries, application of mobile agents, multimedia data processing, transaction processing, power management, ad hoc networking, caching, and security.
Selected Publications
Books/Book Chapters
Hurson, A.R. (editor), Advances in Computers, Vol. 98, Elsevier, 2015.
Hurson, A.R. and Sarbazi-Azad (editors), Energy Efficiency in Data Centers and Clouds, Advances in Computers, Vol. 100, Elsevier, 2016.
Morrow, T., Sedigh Sarvestani, S. and Hurson, A.R., “PERCEPOLIS: Cyberinfrastructure for Personalized Education," E. Railean, G.Walker, L. Jackson and A. Elci , editors, Encyclopedia of Applied Learning Theory and Design in Modern Education. IGI Global, 2015.
Journals
Wisely, M., Sedigh Sarvestani, S., and Hurson, A.R., “Public Data Dissemination via Broad-casting," Journal of Information Processing, 2015, invited.
Heendaliya, L., Lin, Dan, and Hurson, A.R., “Predicting Traffic On-The-Go," Transactions on Large-Scale Data and Knowledge Control Systems, 2014.
Wagner, C.S., Sedigh Sarvestani, S., and Hurson, A.R., “Using Dynamic Outcome-Based Models to Improve Predictive Search," Journal of Information Processing, 2014, invited.
Sashi, G., Lin, D., Jiang, W., Hurson, A., and Zhang, R., :Traffic Information Publication with Privacy Preservation." ACM Transactions on Intelligent Systems and Technology, 2013.
Conference Proceedings
Heendaliya, L., Wisely, M., Lin, Dan, Sedigh, S., and Hurson, A.R., “Influence-Aware Predictive Density Queries under Road-Network Constraints,” Symposium on Spatial and Temporal Databases, 2015.
Marashi, K., Sedigh Sarvestani, S. and Hurson, A. R., “Quantifying the detrimental effect of interdependency on reliability of cyber-physical systems." Submitted, 2015.
Recent Grants
Department of Education (DOE), “Information and System Assurance for Critical Infrastructure”, $524,331, 2010-2015.
Department of Transportation (DOT), “Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems”, 2015.
National Science Foundation (NSF), MASTER: Missouri Advanced Security Training, Education, and Research, $3,001,744, 2014-2018.