Dr. Sherif Elfayoumy has served as Chief Technology Officer of Quture since its inception, beginning with his relationship for natural language processing (NLP) and machine learning, where his expertise and technology architecture are without parallel. Also serving with Quture’s technology partner, Q’Zure LLC, Sherif designed and developed the QualOptima database working with Version 1.3 migrating our existing software product, coordinating the programming of that version with Quture’s independent contractor, the technology inherent in the Clinical Trial at the University of Miami, Jackson Memorial Hospital, and as chief architect of the QualOptima product. He leads Quture’s technology to machine learn, including our electronic triggers Version 1.2 and algorithms and analytics embedded in QualOptima.
Dr. Elfayoumy’s expertise and research interests include high-performance computing (HPC), data mining, bio/medical informatics, and computational intelligence. Teaching is an integral part of his professional life, and he believes research and teaching work together to foster intellectual curiosity and investigation. The unprecedented explosion of data collection by most institutions and enterprises has prompted his development of efficient algorithms to mine these data repositories and discover hidden knowledge in the form of associations and patterns. Big data mining problems are directly related to high performance computing and efficiency issues. His expertise to apply AI algorithms to develop classification and prediction models for mining big datasets in various disciplines is instrumental to Quture and QualOptima.
Dr. Elfayoumy is the Associate Dean of the College of Computing, Engineering and Construction (CCEC), University of North Florida, Jacksonville, Florida. He received his Ph.D. and M.Sc. in Computer Science and Engineering from Speed School of Engineering of University of Louisville, Louisville, Kentucky, in 2000 and 1998, respectively. In 1993 he received his B.Sc. in Electrical Engineering (Telecommunication and Electronics) and a post-graduate software development skills diploma from Egypt.
Sherif has published 36 professional articles to date and personally holds patents awarded in concept-based searching and analysis and converting ontologies into concept semantic networks. He is active and has held offices in the IEEE Computer Society, one of the largest and most prestigious computing societies for professionals and academicians. He collaborates with the faculty of University of Florida’s College of Medicine in several research initiatives.