Prapaporn Rattanatamrong, Ph.D.
DARPA (2010-2012)
Title: Reorganization and Plasticity to Accelerate Injury Recover (REPAIR)
TRF/THNIC (2012-Present)
Title: Enabling continued operation of IT services and infrastructures
during floods and other disasters
Summary: The research efforts will be developed in the following trusts: (a) the collection and analysis of data related to damaged IT services due to the 2011 Thailand flood; (b) the assessment of the existing IT infrastructures in Thailand since suitable solutions have dependencies on the type of disasters and the realities of the IT environments in the disaster locations; (c) the need to address challenges when migrating VMs across geographic locations, given that existing VM migration technology have been developed with local area network assumptions that do not hold true in disaster recovery scenarios; and, (d) the investigation of virtualization-based resilient middleware architectures for service continuity.
Summary: The research will create a realistic computational model of the sensorimotor system and deliver a hybrid in silico/biological co-adaptive symbiotic system for rehabilitation. The contract comes from the federal Defense Advanced Research Projects Agency (DARPA) through its Reorganization and Plasticity to Accelerate Injury Recovery (REPAIR) program. DARPA’s REPAIR program seeks new methods for analysis and decoding of neural signals in order to understand how neural-based sensory stimulation could be applied to accelerate recovery from brain injury. (Source:SUNY’s news releases) The project requires an extension of the CyberWorkstation (CW) previously developed in the DDDBMI project to support online/offline BMI experimentation among collaborators. The design and implementation of the CW must be extended to flexibly support model development in MATLAB and provide real-time performance in local and remote experiment settings.
Summary: Spoken dialogue systems for data collection, training and learning; active data management and security techniques for rule-based data sharing and filtering; information retrieval and machine translation technology for sharing documents and searching information across different languages and countries; Middleware for transnational (heterogeneous) information grids that enable private, secure and dependable automation of collaboration processes and policies, and the delivery of computing services through Internet portals; and Network behavior modeling and optimization for delivery of acceptable quality of service. (Source: Dr. Matsunaga’s TDG page)
Summary: Research towards the creation of realistic computational models of the sensorimotor system and implementation of in silico/biological co-adaptive symbiotic systems is complex, and involves a multidisciplinary collaboration of scientists and engineers from educational institutions across the country. A collaborative research platform, called CyberWorkstation (CW), is much needed to enable efficient synchronous and asynchronous collaboration among researchers. The CW is being designed and implemented to allow participants to share resources and findings, conveniently develop research ideas into sensible computational models, mutually conduct real-time closed-loop BMI experiments combining geographically distributed resources, store collected neural signals and experimental results in an easy-to-retrieve manner, and perform post-experiment analysis.
NSF (2005-2006)
Title: Transnational Digital Government (TDG)
NSF (2005-2009)
Title: Dynamic Data Driven Brain Machine Interface (DDDBMI)
Past and Ongoing Research Projects