Dr. Parsa Mirhaji Profile

Dr. Parsa Mirhaji

at Univ of Texas Health Science Ctr at Houston

SPIE Involvement:

Author

Proceedings Article | 20 May 2005 Paper

Situational awareness in public health preparedness settings

Parsa Mirhaji, Yanko Michea, Jiajie Zhang, Samuel Casscells

Proceedings Volume 5778, (2005) https://doi.org/10.1117/12.607114

KEYWORDS: Surveillance, Situational awareness sensors, Surveillance systems, Systems modeling, Analytical research, Cognitive modeling, Telecommunications, Information fusion, Data processing, Data modeling

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Proceedings Article | 15 September 2004 Paper

Knowledge-based public health situation awareness

Parsa Mirhaji, Jiajie Zhang, Arunkumar Srinivasan, Rachel Richesson, Jack Smith

Proceedings Volume 5403, (2004) https://doi.org/10.1117/12.548180

KEYWORDS: Telecommunications, Data modeling, Surveillance, Visualization, Data communications, Logic, Surveillance systems, Information visualization, Data processing, Information fusion

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Proceedings Article | 12 April 2004 Paper

Public health situation awareness: toward a semantic approach

Parsa Mirhaji, Rachel Richesson, James Turley, Jiajie Zhang, Jack Smith

Proceedings Volume 5434, (2004) https://doi.org/10.1117/12.541189

KEYWORDS: Information fusion, Information visualization, Computing systems, Prototyping, Surveillance, Cognitive modeling, Performance modeling, Systems modeling, Statistical methods, Video surveillance

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We propose a knowledge-based public health situation awareness system. The basis for this system is an explicit representation of public health situation awareness concepts and their interrelationships. This representation is based upon the users’ (public health decision makers) cognitive model of the world, and optimized towards the efficacy of performance and relevance to the public health situation awareness processes and tasks. In our approach, explicit domain knowledge is the foundation for interpretation of public health data, as apposed to conventional systems where the statistical methods are the essence of the processes. Objectives: To develop a prototype knowledge-based system for public health situation awareness and to demonstrate the utility of knowledge intensive approaches in integration of heterogeneous information, eliminating the effects of incomplete and poor quality surveillance data, uncertainty in syndrome and aberration detection and visualization of complex information structures in public health surveillance settings, particularly in the context of bioterrorism (BT) preparedness. The system employs the Resource Definition Framework (RDF) and additional layers of more expressive languages to explicate the knowledge of domain experts into machine interpretable and computable problem-solving modules that can then guide users and computer systems in sifting through the most “relevant” data for syndrome and outbreak detection and investigation of root cause of the event. The Center for Biosecurity and Public Health Informatics Research is developing a prototype knowledge-based system around influenza, which has complex natural disease patterns, many public health implications, and is a potential agent for bioterrorism. The preliminary data from this effort may demonstrate superior performance in information integration, syndrome and aberration detection, information access through information visualization, and cross-domain investigation of the root causes of public health events.

Proceedings Article | 22 September 2003 Paper

Preparing Houston: lessons learned, future directions

Mohammad Madjid, Parsa Mirhaji, Scott Lillibridge, S. Casscells

Proceedings Volume 5071, (2003) https://doi.org/10.1117/12.517220

KEYWORDS: Information security, Buildings, Telecommunications, Homeland security, Safety, Surveillance, Aluminum, Defense and security, Weapons of mass destruction, Sensors

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Proceedings Article | 22 September 2003 Paper

Informatics critical to public health surveillance

Parsa Mirhaji, Jiajie Zhang, Jack Smith, Mohammad Madjid, Samuel Casscells, Scott Lillibridge

Proceedings Volume 5071, (2003) https://doi.org/10.1117/12.500842

KEYWORDS: Surveillance, Data modeling, Visualization, Surveillance systems, Information fusion, Information science, Data centers, Diagnostics, Systems modeling, Databases

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Conference Committee Involvement (5)

Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII

17 March 2008 | Orlando, Florida, United States

Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI

9 April 2007 | Orlando, Florida, United States

Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V

17 April 2006 | Orlando (Kissimmee), Florida, United States

Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV

28 March 2005 | Orlando, Florida, United States

Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III

12 April 2004 | Orlando, Florida, United States

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