Abstract: This paper is a first step in describing theoretical foundations for use and application of the Profile based Information System using Radio Frequency Identification (PISR) as a tool designed to tailor learners’ retrieval and access to information to their individual learning styles. The system has been designed to manage large caches of data, including user profile handling, while automating information extraction according to the user’s preloaded personal profile. PISR manages the information assignment and retrieval processes more efficiently then current systems while dramatically reducing human involvement.

Brief Biography of the Speaker:
Tabrizi received his B.S. degree in Computer Science from Manchester University, UK. He then completed his M.S. and Ph.D. from Automatic Control and Systems Engineering Department, Sheffield University, UK. Tabrizi worked in Manchester University for two years prior to his appointment at East Carolina University in 1984. He is the Graduate Program Director of Computer Science and founder and director of Software Engineering program at East Carolina University. His research interests are in the areas of Cloud Computing, Virtual Reality, Modeling and Simulation, Computer Vision, Signal and Image Processing, Software Engineering, Internet and Multimedia, Assistive Technologies, and Computer Science Education. Tabrizi and his research team have prototyped different project in his Technology Innovation lab including Archival Data Extraction and Assessment (ADEAP) system, electronic medical records management, an agent and virtual reality-based course delivery system, RFID based learning assessment system, and virtual reality based home inspection and training system. Tabrizi has participated on several major grants. Tabrizi publications include diverse areas of research in computer science, technology, and software engineering. He was named ECU’s scholar teacher in 2000 and has received best paper award.