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Tokushima UniversityGraduate School of Technology, Industrial and Social SciencesDivision of Science and TechnologyComputer ScienceIntelligent Systems
Tokushima UniversityFaculty of Science and TechnologyDepartment of Science and Technology知能情報コースIntelligent Systems
Tokushima UniversityGraduate School of Advanced Technology and ScienceSystems Innovation EngineeringInformation Science and Intelligent SystemsInformation Science
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(Akamatsu, Norio) (34.2%) / Professor Emeritus   [Detail]
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Academic Degree: 京都大学工学博士
Field of Study: ニューラルネットワーク, 音声認識, 画像処理, 個人認証
Subject of Study: ニューラルネットワークと電子ペンを用いる個人認証 (電子ペン, 個人認証, neural network, カラーID)
Ito, Shin-ichi (27.8%) / Associate Professor   [Detail]
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Academic Degree: Ph. D
Field of Study: Bio-Signal Processing, Bio-Signal Processing, Human Science, Human support
Lecture: Introduction to STEM (Bachelor Course), STEM Practice (Bachelor Course), オリエンテーション1年 (Bachelor Course), Introduction to Computer and its Exercises (Bachelor Course), System Design and Experiment (Bachelor Course), Human Sensing (Graduate School), Introduction to Information Science (Common Curriculum), Biological and Medical Engineering (Bachelor Course), Graduate Seminar on Computer Science (Graduate School), Introduction to Computer Science (Bachelor Course), Research Approaches in Science and Technology C (Graduate School)
Subject of Study: Psychophysiological Engineering and Its Application (electroencephalogram, Individual Characteristics, Information Visualization, experimental psychology), Electroencephalogram Analysis and Its Application (electroencephalogram), Visualization of Optimization Techniques and Its Application (Information Visualization), Communication support, Human life support, Brain-computer interface, Decision-making detection, Afflatus and/or a sense of discomfort detection, Presage detection, Stress evaluation
Ito, Momoyo (25.6%) / Associate Professor   [Detail]
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Academic Degree: 博士(工学)
Field of Study: Engineering
Lecture: STEM Practice (Bachelor Course), オリエンテーション1年 (Bachelor Course), Graph Theory (Bachelor Course), Software Design and Experiment (Bachelor Course), Human Sensing (Graduate School), Introduction to Programming and its Exercises (Bachelor Course), Introduction to Mechanics (Bachelor Course), Ethics for Engineers and Scientists (Common Curriculum), Mathematical Logic (Bachelor Course), Graduate Seminar on Computer Science (Graduate School), Introduction to Computer Science (Bachelor Course)
Subject of Study: Research on intention recognition based on human behavior analysis (evolutionary image processing, medical imaging)
Karungaru, Stephen Githinji (15.2%) / Associate Professor   [Detail]
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Academic Degree: Phd (Information Systems Design)
Field of Study: Information Technology, Information Technology
Lecture: STEM Practice (Bachelor Course), Global Communication B (Graduate School), System Design and Experiment (Bachelor Course), Pattern Recognition (Bachelor Course), Presentation Method (D) (Graduate School), International Advanced Technology and Science A (Graduate School), International Advanced Technology and Science B (Graduate School), Instrumentation Systems (Bachelor Course), Technical English Fundamentals 1 (Bachelor Course), Applied Image Processing (Graduate School), Graduate Seminar on Computer Science (Graduate School), Introduction to Computer Science (Bachelor Course), Research Approaches in Science and Technology E (Graduate School)
Subject of Study: Automatic Face Detection and Recognition (Face Detection, Recognition, Neural Networks, Genetic Algorithms), Abandoned object Detection and Recognition, Online character recognition for mobile devices (Face Detection, Recognition, Neural Networks, Genetic Algorithms, Character Recognition, Aerial image processing)
SATO, Katsuya (1.6%) / Associate Professor   [Detail]
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Academic Degree: Ph.D (Engineering)
Field of Study: Cell Biomechanics, Bio Micro Electro Mechanical Systems
Lecture: STEM Practice (Bachelor Course), オリエンテーション3年 (Bachelor Course), Biomaterial (Graduate School), Biomechanical Design (Graduate School), Special Lecture on Biomechanics (Graduate School), Strength of Materials 2 (Bachelor Course), Mechanical Engineering Laboratory 2 (Bachelor Course)
Subject of Study: Evaluation of mechanical condition that cell sense and respond (cell, Mechanotransduction, MEMS, Biomechanics), Cell biomechanis using MEMS device (cell, biomechanics, mechanical engineering)
Terada, Kenji (1.2%) / Professor   [Detail]
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Academic Degree: Doctor of Engineering
Field of Study: Computer Vision
Lecture: Introduction to STEM (Bachelor Course), STEM Practice (Bachelor Course), Practice on Computer Application Development (Graduate School), Computer Application Exercise (Bachelor Course), Entrepreneur Exercise (Bachelor Course), Internship(M) (Graduate School), Design Thinking (Graduate School), Presentation Method (D) (Graduate School), Project Management Fundamentals (Bachelor Course), Internship (Graduate School), Internship (D) (Graduate School), Signal Processing (Bachelor Course), Management of Technology (Graduate School), Image Processing (Bachelor Course), Image Engineering (Bachelor Course), Applied Image Processing (Graduate School), Introduction to Computer Science (Bachelor Course), Research Approaches in Science and Technology C (Graduate School), Visual pattern processing (Graduate School), Venture Business (D) (Graduate School), Long-term Internship (M) (Graduate School), Long-term Internship (Graduate School), Long-term Internship (D) (Graduate School)
Subject of Study: 人のセンシング, 3次元計測, 動画像処理, カラー画像処理 (個人識別, Three-dimensional measurement, パターン認識, image processing)
(Ren, Fuji) (1.1%) / Professor Emeritus   [Detail]
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Academic Degree: Ph.D
Field of Study: Language Understanding and Commnication, Affective Computing, Computer Science, Intelligent robot, Social Computing
Subject of Study: Emotion Robort, Machine Aided Writing, Natural Language Processing and Knowledge Engineering, Sentience Computer and Sensitivity Technique, Multi-Lingual Multi-Function Multi-Media Intelligent System Project, Machine Translation and Information Retrieval (natural language processing, knowledge engineering, sentience computer, machine translation, Machine-Aided English Writing, automatic abstracting, Dialogue machine translation, information retrieval)
(Kita, Kenji) (0.8%) / Professor Emeritus   [Detail]
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Academic Degree: Ph.D
Field of Study: Computer Science, Information Engineering, Information Retrieval, Natural Language Processing, Spoken language processing, Media technology
Subject of Study: Vector space models, Probabilistic language models, Multimedia information retrieval, Cross-media information retrieval, Music identification based on audio fingerprinting, EGG-based emotional processing, Medical image processing, Medical AI, Dental AI (information retrieval, natural language processing, computational linguistics, corpus, Latent semantic indexing, multidimensional search, Hamming space search, audio fingerprint, music retrieval, image retrieval)
Shishibori, Masami (0.7%) / Professor   [Detail]
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Academic Degree: 博士(工学)
Field of Study: Information Retrieval, 深層学習を用いた画像認識システム, 深層学習を用いた映像認識システム, 深層学習を用いた音楽処理システム
Lecture: Database (Bachelor Course), Presentation Method (D) (Graduate School), Multimedia Engineering (Graduate School), Machine Learning (Bachelor Course), Introduction to Computer Science (Bachelor Course), Research Approaches in Science and Technology C (Graduate School), Natural Language Processing (Bachelor Course), Logical Circuit Design (Bachelor Course), Introduction to Computer Science (Bachelor Course)
Subject of Study: 知的画像検索技術に関する研究, 知的映像検索技術に関する研究, 知的音楽検索技術に関する研究, 高速近傍検索アルゴリズムに関する研究 (information retrieval system, multimedia, 映像検索, 音楽検索, artificial intelligence)
(Ono, Norihiko) (0.1%) / Professor Emeritus   [Detail]
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Academic Degree: Doctor of Engineering
Field of Study: Artificial Intelligence, 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), 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)