The University of Aizu   Established in 1993 as Japan’s first university dedicated to the discipline of Computer Science and Engineering.         The mission of the UoA is "to Advance Knowledge for Humanity“. It has one undergraduate school (BSc.) and one graduate school MSc, PhD). Its graduate school is open to the world, where English is used as the common language. It has around 110 faculty members           87% with PhDs. First-class faculty members from over fifteen countries around the world. It has around 1000 undergraduate students. It has around 170 graduate students. 24-hours Access to state-of-the-art computers. UoA Faculty   UoA recruited outstanding faculty from Japan and overseas.   Number of Faculty Members 107 (Japanese Faculty 65 (60.7%) International Faculty 42 (39.3%)).   Students acquire language skills through classes given in English and everyday conversation with faculty. Research at UoA   Computer Science Research     Computer Engineering Research     Software Engineering; Human computer interfaces; Industrial applications; Mobile ambient systems; Application platforms in distributed environment; Graphics and Multimedia; Biomedical information technology; databases and data mining. Research Center for Advanced Information Science and Technology (CAIST)     High-performance computing; Advanced network technologies; Embedded systems; Devices and platforms for HPC and IoT; Adaptive commuting systems; Wearable devices and computing; Wireless communication networks; Sensor network. Information Systems Research     Quantum computing and development of next generation computing elements; New Technology for cryptography and steganography; Mathematical and computer modelling; Simulation, and development of new methods or solving complex problems; Big data modelling and brain modelling; Intelligent computing; Intelligent services; Intelligent spaces. Space science; Environmental Informatics; Medical Engineering and Informatics; Renewable Energy. Strategic Research   Innovative computing (i.e. conduct R&D to design and evaluate a new energyefficient processor for HPC); Advanced Network Technology (IoT, adaptive scalable communication systems, vehicle networks); Advanced Software Technology (Multipurpose programming platform, service-oriented architecture, virtualization); Cloud computing. The School of Computer Science and Engineering Undergraduate Curriculum       CS Division: Computer Science (Zhao)   Computer Science •  CS-CF: Computer Foundation/Fundamentals; (Hayashi) •  CS-CM: Computational Modeling; (Terasaka) CE Division (Ben Abdallah)   SY: Computer Systems; VLSI •  SY-SD: Computer System Design; (Kitamichi) •  SY-VD: VLSI Design; VLSI (Kitamichi)   CN-CN: Computer Network ; (Tei) IS Division: Information Systems (Cohen)   IT: Applied Information Technologies •  IT-RC: Robotic Engineering & Control; (Naruse) •  IT-VH: Virtual Reality & Human Interface; (Cohen) •  IT-BM: Biomedical; (Chen)   IS-SE: Software Engineering; (Vazhenin)   IS-PM: Project Management & IT Specialist; IT (Yoshioka) Information Division “Mission Statement”     The Information Systems Division conducts research and development of new approaches, methods, software, and devices for the acquisition, processing, storage and dissemination of visual, video, audio, textual, musical, and numerical information including graphics and multimedia, biomedical information technology, databases and data mining, software engineering, human-computer interfaces, and industrial applications. The Division activities include projects exploring big data analytics, cloud-based databases for queries by health-care workers, human support systems for rescue robots, mobile ambient systems for integrating personal control and public display, and application platforms in multipurpose distributed environments for various applications and tsunami modeling. The “Royalty of Sciences” Domain Mission Physics Science Engineering Math Art Fire was discovered. Mode Discovery Analytic Problem Solving Analytic & Creative Invention Creative Analytic Synthetic Wheel was invented. Information Systems Division Laboratories                     Active Knowledge Engineering Lab.; Biomedical Information Technology Lab.; Computer Arts Lab.; Computer Graphics Lab.; Computer Industry Lab.; Database Systems Lab.; Human Interface Lab.; Image Processing Lab.; Multimedia Systems Lab.; Software Engineering Lab.; Active Knowledge Engineering Lab The AKEL provides investigations oriented for  Discovering, externalizing, expressing, representing, sharing, exploring, configuring, activating, growing and managing enterprise knowledge.  Designing new programming platforms based on mentioned above principles. Members: Alexander Vazhenin [email protected] Rentaro Yoshioka [email protected] Maxim Mozgovoy [email protected] AKEL: Research Topics A. Vazhenin The multi-purposed Programming Platform and applications are developing via integration of software and information components based on the original Virtual-MVC design pattern:   The SOA-based High-Performance Tsunami Modeling System combining natural and artificial bathymetry objects for evaluating their influence on tsunami wave parameters.   The e-Learning Arena allows personalizing the use of exercises and test materials as well as reducing the teacher’s efforts.   Adaptation of the Movie-based programming environment to the SOA. AKEL: Research Topics I. Active Knowledge: Formats, Languages, and Tools R. Yoshioka •  Active Knowledge-based Programming •  Machine Modelling by Active Knowledge •  Work Specification Format II. 3D Objects and Modelling •  3D Kanji: Jewelry, sculptures, buildings •  Communication with Emotion Cubes •  Knowledge Cubes III. Teaching and Learning Technologies •  Online Programming Education Platform •  High-Performance, High-Satisfaction Problem Tutoring System AKEL: Research Topics M. Mozgovoy: General Research Map - AI for games, based on machine learning algorithms; - Natural language processing technologies in language learning; - Sentiment analysis in texts and images. Theore4cal Simula4on Smart Phone Math Model BIT Lab Members SHIP Cloud Services Clinical Valida4on PC Ubiquitous Measurement (Sleep/Wake, Indoor/Outdoor) h"p://bitlab.u‐aizu.ac.jp App Server Signal Processing & Data Mining Database Long‐term Accumula4on of Mul4ple Vital Signs Research Topics (Hisada) (Biological signal measurement and analysis) (NutriBon guidance support system) (Environmental monitoring using the satellite radar) Research Topics (Zhu) 1. Study on Biomedical signal processing, analysis and data mining (1) Early diagnosis of demenBa using EEG (2) Sleep stage esBmaBon, obstrucBve sleep apnea syndrome screening, or atrial ﬁbrillaBon screening using EKG or unconstrained heart beat detecBon device. (3) Computer assistant EKG diagnosBc system for atrial ﬁbrillaBon, idiopathic ventricular ﬁbrillaBon, early repolarizaBon syndrome. 2. Study on cardiac modeling and simulaBon (1) Whole‐heart modeling and simulaBon (2) Computer simulaBon of implantable cardioverter‐deﬁbrillator’s deﬁbrillaBon for the opBmizaBon of deﬁbrillaBon Related skills: signal processing, numerical analysis, pa"ern recogniBon, data mining, image processing and etc. •  Basic knowledge: No prerequisite course required. Medicine related knowledge will be learned. •  Future job: soWware R&D, medical instrument, research insBtute, graduate school, and etc. •  Computer Arts Lab; •  Prof. Michael Cohen; •  Senior Assoc. Prof. Nishimura Satoshi; •  Assoc. Prof. Julián Villegas; –  http://www.u-aizu.ac.jp/~mcohen/spatial-media Spaetcial: Special and Spatial •  Special: •  SpaBal: Assoc. Prof. Julián Villegas; : Exploring virtual sound environments with mobile devices Student Projects Senior Assoc. Prof. Nishimura Satoshi; : computer graphics architectures, musical score following Intersection Searching Engine custom VLSI Intersection Pipeline (IP) Voxel Traveral Pipeline (VTP) Intersection Pipeline (IP) Intersection Pipeline (IP) performance data Shading Unit SU) recognition match Frame Buffer perform guide user score data Prof. Michael Cohen; : mulBmodal interfaces, spaBal sound, mobile compuBng Geometric Modeling Associate Professor Pierre-Alain Fayolle Object segmentation On surface structure modeling Smooth distance function approximation and applications Evolutionary CSG tree recovery Physics-based Simulation and Visualization Associate Professor Yohei Nishidate Raytracing for precision lens design Finite element analysis Raytracing for realistic visualization Atomic-scale finite element analysis Real-time water wave animation Lab Introduction 2014 Computer Industry Laboratory Professor Shigeru Kanemoto Sr. Associate Professor Incheon Paik Associate Professor Kenta Ofuji Lab. Introduction (Machine Learning Applications to Anomaly Diagnosis) Human Cognition & Response Dynamics) (Big Data Science), (Semantic Web, Web Services), (Web Data Mining), (Situation Awareness), (Security for e-Business), (Agents) Socio-economic research on energy and environment 28 Anomaly Diagnosis Research (S. Kanemoto) 31 Dynamic System Research (S. Kanemoto) 32 Semantic Service Research (I. Paik) Semantic Service Architecture Semantic Service Mining Semantic Service Application Theory Application Theory Application Theory - Service Basics - NASC Architecture - Service Modeling - Planning - CSP - Ontology - NASC Architecture - Trip Planner - SMD composer - Service Basics - Text Mining - Machine Learning - Service Discovery - Ontology - Property Transformation - Service Discovery and Mining - Agent Based Composition - Service Basics - Design Basics - e-Business Basics -  SCM, Workflow -  Situation Awareness HDFS Application -  Big Data Science -  Security System - e-Business Application -  Recommender System -  Cloud -  SMD S-Service Infrastructure -  -  Ontology Learning Ontology Engineering -  -  Ontology Reasoning Ontology Design Pattern 33 Big Data and Situation Awareness (I. Paik) 34 (K. Ofuji) 2011 15 7 R(n) (mm) h1(n) R(n) k1 s1 q2(n) h2(n) k2 q1(n) k3 s2 q4(n) k4 h3(n) s3 q1(n) q3(n) q3(n) q5(n) k5 35 Image Processing Laboratory •  Faculty –  Keitaro Naruse –  Yuichi Yaguchi •  Students Center bldg., 3rd floor http://iplab.u-aizu.ac.jp –  Graduate: 8-10? –  Undergraduate: 15-20? Image Processing Laboratory Prof. Naruse’s Research Topics Flocked Weeding Robots in Rice Fields Radio Comm. Robot: CPU, Motors, GPS, Sensors Radio Image Processing Laboratory Base station: CPU, GPS, Radio Prof. Yaguchi’s Research Topics I.  Signal (Image, Sound, etc.) Pattern Matching I.  Data Mining & Visualization I.  Organization similarity and Relative object finder, position Image finder 3D Reconstruction using image matching Image Matching: 2DCDP II.  II.  English learning system by ultrasound tongue image analysis Pattern Finding: CDP Organization: ASKS, I-ASKS II.  Anomaly detection Video surveillance for remote place facilities Pattern Finding: Circle CDP Image Processing Laboratory  UBIC " VICONと床反力システムの応用     1 "  "  "  "  Natural Log Reﬂectance   + SP spectra ‐‐ ConBnuum ‐  Fidng ‐  Gaussians ‐  RMS error Wavelength (µm) 2   •  "  2 1999JU3   •  •  Software Engineering Lab Prof. Vitaly Klyuev http://www.u-aizu.ac.jp/~vkluev Prof. Mohamed Hamada http://www.u-aizu.ac.jp/~hamada Prof. Klyuev: Research Directions 45 Prof. Hamada: Research Directions Ar4ﬁcial Intelligence & Learning Technologies Learning Technologies Ar4ﬁcial Intelligence Func4onal Logic Languages Natural Inspired Computa4on Design and Implementa4on of Opera4onal Seman4cs of Func4onal Logic Languages Ants Colony Op4miza4on Model design, Simula4on & Implementa4on Intelligent Tutoring Systems Design & Implementa4on Of new ITS models Game design & Robots applica4ons MINDSTORM NXT Java2D Smart User Interface SoPware Design Java 2 Technology Objec4ve‐C Learning Theory Learning Style Index Java2 ME Mobile Compu4ng & Programming