Company Filing History:
1 out of 832,912 Years Active: 2019
Title: Manjunath Sindagi: Innovator in High Dimensional Graphical Databases
Introduction
Manjunath Sindagi is a notable inventor based in Hubli, India. He has made significant contributions to the field of graphical databases, particularly in high-dimensional spaces. His innovative work focuses on efficient storage and relational algebra, which are crucial for advanced data management.
Latest Patents
Manjunath holds 1 patent for his invention titled "Polytope and Convex Body Database." This invention extends the work in 2D/3D graphical databases by discussing constraints in high-dimensional spaces and their efficient storage. The relational algebra he developed includes queries for finding polytopes that are disjoint or intersecting with a given polytope. Additionally, it allows for the identification of subsets or supersets of the polytope. His invention also presents methods to generate new information equivalent constraints from existing sets, introduces new kinds of joins, and offers a rich relational algebra of the constraints. Various methods such as distortion, rotation, and shape scaling transformations are employed to obtain information equivalent different sets of constraints. Furthermore, the invention discusses queries to obtain the information equivalent constraints set of the given constraints set along with a new query language when the data is in memory.
Career Highlights
Throughout his career, Manjunath has demonstrated a strong commitment to advancing the field of graphical databases. His innovative approach has garnered attention and respect within the research community.
Collaborations
Manjunath has worked alongside talented individuals such as Neha Bhatia and Shriguru Nayak, contributing to a collaborative environment that fosters innovation and creativity.
Conclusion
Manjunath Sindagi's work in high-dimensional graphical databases showcases his inventive spirit and dedication to advancing technology. His contributions are paving the way for more efficient data management solutions in the future.