Company Filing History:
Years Active: 2009-2010
Title: Evdokia V Nikolova: Innovator in Stochastic Network Models
Introduction
Evdokia V Nikolova is a prominent inventor based in Somerville, MA (US). She has made significant contributions to the field of computer science, particularly in the area of stochastic network models. With a total of 2 patents, her work focuses on optimizing paths in uncertain environments.
Latest Patents
Nikolova's latest patents include a "Method for finding minimal cost paths under uncertainty." This innovative method utilizes a computer-implemented approach to identify paths with minimal expected costs through a network of nodes connected by arcs. The traversal time for each arc is treated as a random variable, allowing for a comprehensive analysis of potential travel times. The expected cost is calculated as an average value of a nonlinear cost function, weighted by the probability of each possible total travel time.
Another notable patent is the "Method for finding optimal paths using a stochastic network model." This method identifies optimal paths from a source to a destination by representing possible paths as a stochastic graph. Each edge in the graph has an independent probability distribution over its cost. The method effectively reduces the graph to a manageable set of deterministic minimum cost problems, enabling the determination of an optimal path that maximizes the probability of reaching the destination within defined constraints.
Career Highlights
Evdokia V Nikolova is currently employed at Mitsubishi Electric Research Laboratories, Inc. Her work at this esteemed organization has allowed her to further her research and development in innovative technologies.
Collaborations
Throughout her career, Nikolova has collaborated with notable colleagues, including Matthew E Brand and Michael D Mitzenmacher. These collaborations have contributed to her success and the advancement of her research.
Conclusion
Evdokia V Nikolova is a trailblazer in the field of stochastic network models, with her innovative patents paving the way for advancements in optimizing paths under uncertainty. Her contributions continue to influence the landscape of computer science and network optimization.