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(Ono, Norihiko) (24.8%) / Professor Emeritus   [Detail]
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Academic Degree: Doctor / Doctor of Engineering
Field of Study: Artificial Intelligence
Subject of Study: 生物の進化適応に学ぶ工学システムの設計手法 (soft computing, machine learning, reinforcement learning, evolutionary learning, robot learning, autonomous agents, multi-agent systems, RoboCup, data mining, financial engineering)
YANG, Haichuan (6.4%) / Assistant Professor   [Detail]
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Academic Degree: Doctor / 博士(工学)
Field of Study: Informatics, Energy Engineering, Informatics
Lecture: System Design and Experiment (Bachelor Course), Technical English Fundamentals 1 (Bachelor Course), Graduate Seminar on Computer Science (Graduate School)
Subject of Study: Emergence of intelligence in complex systems, optimization of complex systems (optimization, particle swarm optimization, genetic algorithm, chaotic phenomena, evolutionary computation, complex systems), 2.メタヒューリスティックアルゴリズムに基づく再生可能エネルギーシステムの最適化 (energy conversion, optimization, evolutionary computation, wind power generation system, photovoltaic generation system), 3.機械学習に基づく因果推論 (因果推論, machine learning, data processing, neuron model, prediction)
Song, Tian (0.9%) / Professor   [Detail]
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Academic Degree: Doctor / 博士(工学)
Field of Study: Moving Picture Coding, VLSI Design
Lecture: Global Communication B (Graduate School), Data Science (Graduate School), Presentation Method (D) (Graduate School), Introduction to Programming (Bachelor Course), Multimedia Communication Theory and Technology (Graduate School), International Advanced Technology and Science A (Graduate School), International Advanced Technology and Science B (Graduate School), Introduction to Technical English (Bachelor Course), Interdisciplinary Seminar in Science and Technology (Graduate School), Research Approaches in Science and Technology E (Graduate School), Advanced Theory of Integrated Circuits (Graduate School), Fundamentals of Electronic Circuits (Bachelor Course), Mathematics for Electrical and Electronic Engineering (Bachelor Course), Graduate Research on Electrical and Electronic Engineering (Graduate School), Electrical and Electronic Engineering Design Laboratory (Intr.) (Bachelor Course), Electrical and Electronic Engineering Elementary Laboratory (Bachelor Course)
Subject of Study: 動画像符号化標準H.264/AVCの最適化アルゴリズムとそのVLSI化設計, 動画像符号化標準HEVCの最適化アルゴリズムとそのVLSI化設計, GPUを用いた動画像符号化アルゴリズムの高速実装手法, スケーラブル動画像符号化アルゴリズム, 機械学習を用いた動画像符号化アルゴリズム, 知能水中ロボットの開発 (VLSI, 動画像, coding, low power design, H.264)