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Department of Computer and Communication Sciences

The Department of Computer and Communication Sciences conducts education and research in the field of information science and technology. It provides a curriculum that equips graduates with the ability, tools and multi-dimensional expertise essential for working as a practitioner in systems engineering. As the first step, students learn basic subjects such as mathematics, programming, algorithms, and computer architectures. They then develop specialized knowledge and skills in selected theme areas that match their individual interests. The theme areas are (1) image processing and computer graphics, (2) information network, (3) artificial intelligence, (4) database and software development, and (5) communication theory. Some graduates continue their education and research at the graduate school, and others find employment in various areas of industry and government.

Department of Computer and Communication Sciences

Research Group Member Research Topics Keywords
Media and Information Systems Prof. Haiyuan WU Pattern Recognition, Computer Vision, Human Interface Face Recognition, Human Motion, Robot Control, Object Recognition, Two-View Motion Estimation
Assoc. Prof. Toshiyuki AMANO Augmented Reality
Computer Vision
Pattern Recognition
Spatial Augmented Reality, Projector Camera System, Projection Mapping, Light Field, Appearance Manipulation, Material Perception, Vision Assist, Image Interpolation, Range Image, Eigenspace
Assoc. Prof. Kei IWASAKI Computer Graphics
Photorealistic Rendering
Realtime Rendering
Global Illumination, Image-based Lighting, GPU, Ray Tracing, Visual Simulation, Natural Phenomena, Volume Rendering, Particle-based Simulation
Assoc. Prof. Kenshin SHIBAYAMA    
Assoc. Prof. Koji TSUKADA Information Network
Groupware
Disaster Prevention Systems
Computer Supported Cooperative Work, Disaster Reduction Information Systems, Emergency Information Communication, Ad-hoc Network, Delay Tolerant Networking, Wireless Sensor Network
Information and Communications Network Prof. Kazuhiro KAZAMA Web mining
Network Analysis
Natural Language Processing
Search Engine, Information Retreival, Information Extraction, Information Diffusion, Recomendation System, World Wide Web, Social Network, Social Media, Text Processing, Visualization,
Prof. Yoichi SAITO    
Assoc. Prof. Takuya YOSHIHIRO Communication Networks
Graph Theory
Bioinformatics
Internet Routing, Wireless Networks, Mobile Ad-hoc Networks, Graph Algorithms, Combinatorial Algorithms, Combinatorial Optimization, Protein-Protein Internaction, Expression Analysis, Data Analytics.
Lecturer Masao OHIRA software engineering
empirical software engineering
open source software eingineering
mining software repositories, software analytics, social mining, software quality, software process improvement, software metrics, bug prediction, bug triaging, open source lisence, software visualization
Lecturer Shigeaki KUZUOKA Information Theory
Shannon Theory
Multi-terminal Information Theory
Source Coding, Universal Coding, Distributed Source Coding, Source Coding for Multiple Decoders, Coding Problems with Side-Information, Rate-Distortion Theory
Lecturer Takehiko MURAKAWA Data Engineering
Database System
Information Retrieval
Computer Supported Cooperative Work, Developer Support, Digital Heritage, Full-Text Search
Artificial Intelligence and Knowledge Engineering Prof. Chiaki SAKAMA Artificial Intelligence
Computational Logic
Social Intelligence
Argumentation, Belief Revision, Cellular Automata, Commonsense Reasoning, Knowledge Representation, Logic Programming, Machine Learning, Multiagent Systems, Program Transformation
Prof. Hirokazu TAKI Artificial Intelligence
Knowledge Engineering
Brain Science
Expert System, Ubiquitous System, Brain Machine Interface, Machine Learning, Data Mining, Big Data Processing, Skill Science, Knowledge Acquisition
Prof. Takayuki NAKAMURA artificial intelligence, machine learning, mobile robot, computer vision, pattern recognition, image processing, brain machine interface Regression tree, Palm tree, SLAM, Scan matching, Quasi-euclidean norm, CIF, 3D object recognition, RGB-D image processing, HS-SHOT, Multi instance learning, Clustering algorithm
Prof. Toshikazu WADA Computer Vision
Pattern Recognition
Machine Learning
Instance based Learning, Nearest Neighbor Search, Nearest Neighbor Classification, Multiple Instance Learning, Image Retrieval, Face and Object Recognition
Assoc. Prof. Noriyuki MATSUDA Knowledge Engineering
Service Engineering
Ontology Engineering
Learning from Experience, Self-regulated Learning, Clinical Narattive, Intelligent Tutoring System, Ethnography
Assist. Prof. Hirokazu MIURA Computer Networks
Communication Networks
Brain Engineering
Autonomous distributed systems, Contents Distribution Networks, Content-Oriented Network, Network Support Technologies, Ad-hoc Networks, Sensor Networks, Peer-to-Peer (P2P), Brain Machine/Computer Interface