HPS DNA MINING SYSTEMS RESEARCH - DR. NELSON R. MANOHAR

FOREWORD

THIS DOCUMENT PRESENTS PRELIMINARY PATENT-PENDING RESEARCH RESULTS; THEREFORE DISCLOSURE LEVEL IS PURPOSELY CURTAILED AND LIMITED. The findings presented here relate to a theoretical signal processing and data mining breakthrough capable (for some particular problem domains) of SUB-LINEAR TIME COMBINATORIAL DATA MINING ANALYSIS (though coupled with LINEAR-TIME TRANSFORM PREPROCESSING) and demonstrated herewith through its application to fundamental similarity/homology-based problems on the bioinformatics domain area. These systems (herein referred to as "HPS DNA mining systems") on their own right constitute a significant and evolving body of bioinformatics research contributions and deliverables. The long-term orientation for this exploratory interdisciplinary research is directed towards enabling large-scale comparative genomics research.

About us (www_nelsonmanohar_us)

Dr. Manohar-Alers earned a B.S. in computer engineering in 1987. He also earned a M.S. computer engineering from the University of Wisconsin at Madison in 1988 and a M.S.E. in industrial engineering from the University of Michigan at Ann Arbor in 1992. Dr. Manohar-Alers earned his Ph.D. in computer science and engineering specializing in software systems from the University of Michigan at Ann Arbor in 1997. Previously, he worked at the IBM T. J. Watson Research Center as a Research Staff Member and at AT&T Bell Laboratories (now Lucent Bell Labs) as a Member of the Technical Staff. His interests are in experimental software systems dealing with scalable systems theory, measurements, and resource management. He has been lead inventor in several patents on resource management. Previous research related to groupware, multimedia authoring, and advanced intelligent networks. Dr. Manohar-Alers' credentials are found on his curriculum vitae. He currently works as an independent researcher in Puerto Rico - USA, where Dr. Manohar-Alers has threaded his long-term research onto applied research on state estimation for random processes. This research introduces the Harmonic Process State (HPS) transform. The HPS Transform exhibits desirable qualities on implementation ease, algorithmic complexity, computational stability, signal compressibility, decision-making robustness, information loss, and error behavior. Although the HPS Transform is particularly suited for process control, the results have vast implications to other fields. You may contact Dr. Manohar-Alers at nelsonmanohar@yahoo.com.

OUR ASSETS

Dr. Manohar-Alers is currently unaffiliated to a research institution or grant. His body of research work has been done independently, in a self-supported manner, and thus readily available for use at a future research affiliation. His research work has the potential to produce high-impact (theoretical and applied) assets related to research publications, software, and patents of particular targeting toward valuable application domains.

CONTACT US

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