Adindu Uzoma

Mr. Uzoma conducts research and development work on Data Privacy & Security, Privacy-Preserving Data Mining, Hippocratic Databases, Relational Database Watermarking, Privacy Preserving Health Information Exchange, Novel Architectures for Sentinel Networks and Virtual Hospitals, Advanced Fraud Detection Algorithms, Clinical Prediction Models & Advanced Analytics. Mr. Uzoma is the author of the Virtual Hippocratic Database (VHD), an innovative (database and applications agnostic) privacy enforcement technology that allow users within and across enterprises to create HIPPA and ARRA-compliant virtual data aggregates & extracts from remote databases on the fly. The VHD provide for real-time, transaction-based virtual data de-identification. It is designed to stay resistance to almost all know techniques at re-identification such as “linkage” methods and predicate-based techniques. Mr. Uzoma is a pioneer of methods to integrate content and context information into what are known as Virtual HyperDocuments. This new (and still emerging) technology allow data to act as intelligent cyber-organic actors and may ultimately lead to the development of new database systems where stored data in the form of HyperDocuments can “self-analyze” and produce answers to questions in near real-time. Mr. Uzoma holds a BS degree in Mathematics & Computer Science from Suffolk University, Boston MA and a dual MSc degrees in Mathematics and Computer Science from Tufts University, Medford MA. Mr. Uzoma is a member of HITSP Technical Committee for Privacy, Security & Domain Infrastructures and served on the HITSP Consumer Preferences Tiger Team & Workgroup.

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