I am a PhD student, Research assistant, and a Graduate Instructor in the Computer Science department at Utah State University (USU). I am the lead researcher at the Computer Science Assistive Technology Laboratory (CSATL) at USU working on developing a Persuasive NUTrition Management System (PNUTS) which seeks to shift current research and clinical practices in nutrition management toward persuasion, automated nutritional information extraction and processing, and context-sensitive nutrition decision support. My work includes the design and development of skewed barcode recognition algorithms, optical character recognition on Android smartphones to extract nutrition label information and collecting data from users to recommend proper dietary plans and also maintaining our JBOSS cloud computing cluster for running image processing modules. I'm interested in mobile & ubiquitous computing, cloud-computing, information extraction, image processing and assistive technology. Prior to CSATL, I was working as a research assistant in the Distributed systems lab at USU and worked on developing the Utah State-wide MPI (Master Patient Index) which is an integrated system that will correlate person-centric records across a wide range of different data sources, including the Utah Department of Health,the University of Utah Health Sciences Center, the Utah clinical Health Information Exchange, and Intermountain Healthcare. Specialties: Mobile Computing (Android), Java, C#, Data Structures & Algorithms, Computer Science R&D, Project Management, Technical Writing, Assistive Technology.