NOLTA2020

Winners of Student Paper Awards

Best Student Paper Awards

Yanran Wang (Kyoto University)
Algorithm for Analyzing Swarm Formation in Two Dimensional Time-Invariant External Potential

Yoshihiro Yonemura (Future University Hakodate)
Multi-Modal Processing of Visual and Auditory Signals on Network Model Based on Predictive Coding and Reservoir Computing

Student Paper Awards

Kentaro Takeda (Hosei University)
Asynchronous CA Model of Central Pattern Generator

Mizuka Komatsu (Kobe University)
Parameter Estimation for Dynamical Systems via Structural Realization

Ayane Nakamura (University of Tsukuba)
A Stochastic Model for Car/Ride-Share Service by a Bus Company

Sendillkkumaar Indrapriyadarsini (Shizuoka University)
A Nesterov's Accelerated Quasi-Newton Method for Global Routing Using Deep Reinforcement Learning

Yuichiro Tanaka (Kyushu Institute of Technology)
A Brain-Inspired Artificial Intelligence Model of Hippocampus, Amygdala, and Prefrontal Cortex on Home Service Robots

Keisuke Fukuda (Tohoku University)
Cyclic Reservoir Neural Network Circuit for 3D IC Implementation


The NOLTA2020 Symposium Committee presented student paper awards. The award candidates should be a full student, and the first author and the presenter of the NOLTA2020 paper. In addition, the awarded paper should be a 4-page camera-ready manuscript. The selections of the awards were based on the quality, originality, and clarity of the paper and the presentation.

The winner of the Best Student Paper Award will be eligible to have their paper published as an invited paper in a Special Section on Recent Progress in Nonlinear Theory and Its Applications Nonlinear Theory and Its Applications (NOLTA), IEICE.