This inventor holds 1 USPTO granted patent. Top assignee: Oregon State University. Active years: 2007.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2007
Title: Innovations of Georgi Todorov in Modular Multiplication
Introduction
Georgi Todorov is an accomplished inventor based in Corvallis, OR (US). He has made significant contributions to the field of modular multiplication, particularly through his innovative patent. His work is recognized for its potential applications in various computational processes.
Latest Patents
Georgi Todorov holds a patent for "Methods and apparatus for variable radix scalable modular multiplication." This patent describes a method for Montgomery multiplication that processes a multiplier operand in k-bit radix-digits, where k corresponds to a radix r=2. The process involves handling a multiplicand operand and a modulus word by word, with additional bits of the multiplier operand selected for processing. For instance, in a radix r=8 example, the multiplier operand is processed in 3-bit radix-8 digits. A processing kernel is configured to preprocess the modulus and/or the multiplier operand, allowing some values to be obtained from lookup tables. This innovation enhances the efficiency of modular multiplication processes.
Career Highlights
Georgi Todorov is affiliated with Oregon State University, where he continues to contribute to research and development in his field. His expertise in modular arithmetic and multiplication techniques has positioned him as a valuable asset in academic and research circles.
Collaborations
Georgi has collaborated with notable colleagues, including Alexandre F Tenca and Çetin K Koç. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Georgi Todorov's work in modular multiplication exemplifies the impact of innovative thinking in technology. His patent reflects a significant advancement in computational methods, showcasing his dedication to enhancing efficiency in mathematical processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
