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Computer Science and Information Engineering Group
The core of Computer Science and Information Engineering Group (Former Computer Science and Information Systems Group/Computer and Network Group) mainly covers computer, information, and network system, and the educational goal is to cultivate outstanding people in the information and communication field and make their professional abilities in practice. Research activities in Information and System Group are Computer Architecture and System, Real-Time and Embedded System, Data Compression and Multimedia Communication, Computer vision, graphics, and image processing, Distributed Multimedia Database system & Software Engineering, Parallel and Distributed System, Internet Technology and Applications, Dependable Systems and Networks, Network Systems Design and Analysis, and Cloud Computing and Wireless Networking.
In Computer Architecture and System Laboratory (CASLab), we focus on the research and development of computing systems, specifically, in the area of computer architecture, OpenCL and OpenGL graphic processor system, and IOT applications. Our lab members need to study processor cores, Linux OS, performance/power modelling, and processor micro-architectures. The prospective graduates from the CASLab are expected to have good command in system modelling with SystemC/C++/C, Verilog design, and FPGA use. The thesis usually involves team work with the lab members for system development. CASLab graduates work with IC design house, system makers, or study abroad.
The Database and Software Engineering Laboratory (DBSE Lab) at NCKU undertakes world-class research on knowledge and software engineering to understand cutting edge technology and predict future trend in producing needed software. Our research group concentrates on multidisciplinary approach to define problems and derive software solutions based on knowledge of various engineering methodologies which include process assessment and improvement, requirement acquisition and analysis, object-oriented design and implementation, software reuse, software testing, software maintenance, and software education. We are also interested in data accumulation and knowledge discovery techniques accompanied with extensive software applications. Data and knowledge methodologies provide evidence in our group to improve practice of software professionals and produce quality software. Our recent achievements cover specific topics of open source community assessment, test-driven and automated refactoring, framework design and documentation, agile process improvement, service-oriented architectures, game-based programming learning, and crowd-centric requirement engineering. At present, we are working on establishing a revolutionary intelligent environment which encompasses all our previous achievements and pioneering studies in the future. The DBSE research group looks forward to contributing well-trained, innovative software engineers to both academy and industry in collaborative software development for a better world.
In today’s highly complex computing and communication systems, dependability is a critical concern. Developing schemes for robust execution, efficient failure detection, accurate fault diagnosis, and rapid recovery has become a major research topic in the field of computer engineering. The aim of the Dependable Computing Laboratory (DCL) is to build reliable, high-performance mechanisms for mobile computing, distributed systems, and network applications. DCL is devoted to developing fault-tolerant schemes for both fundamental theory and practical applications, to enable quality-based computing. DCL also works on advanced technology for mobile computing environments, including mobile ad hoc networks, wireless sensor networks, vehicular networks, and self-driving car networks.
Mobile Communication and Service (MCS) Lab is founded in 2008. The main research interest of the lab is in telecommunications and networking. Our research team has been carried out several challenging research project. The results of our research has been published in several key journals and conferences. Three major areas that we are currently active in are IoT application development (APP, communication protocol, wireless transmission), 3GPP specifications study (core networks, M2M communication, proximity services), and 802.11 technology. Welcome to join us!
KID (Knowledge and Information Discovery) LAB research are focused on data mining and social network analysis. Our current research are especially on social network analysis, time series mining and multimedia information retrieval. Moreover, other research like mobile application, cloud computing, digital learning and bioinformatics application are also our goal. The related techniques to our research can be applied in the real life such as marketing, decision making, information retrieval, disasters prevention. Our lab also promotes the students for the training on foreign language, presentation, communication, planning and execution. We hope students can gain expertise in data mining and also have ability to lead a team.
As the global network continues to expand at a rapid pace, Internet technology plays a crucial role in modern society, digitalizing the world with greater convenience, reliability, and efficiency. The research directions of the Internet Technology Laboratory (ITLab) focus on exploring how to store, retrieve, extract, manipulate, transfer, and present data through ICT innovations. Specifically, the laboratory’s research encompasses Data Center Infrastructure & Network Management, Security, Internet Application & Service, Software-Defined Networking (SDN), and Cyber-Physical Systems (CPS). Please refer to the lab website for more information.