Media Collaboration Research Lab (MediaCore Lab) are guided by Professor Yang Jar-Ferr, the Republic of China was founded in 77 years. The current members are six doctoral students and 10 master's degree; has nurtured 26 doctoral and 91 master's degree.

    The laboratory research covers a wide range, research can be roughly divided into several parts of video compression technology, 3D stereoscopic display processing technology and intelligence of multimedia, application layer throughout the 3D TV core processing systems, intelligence systems and high efficiency appliances video codec system. In addition to this laboratory is committed to academic research, but also with vendors (Chi Mei Optoelectronics Corporation, HannStar, Industrial Technology Research Institute, AverMedia, Linkedln, DM-China-Digital Magic etc) continuing the close cooperation, and have been number of technological achievements technology transfer to industry.

I. Wisdom Multimedia:
 OST-HMD
 Face Recognition, Object Recognition
 Three-Dimensional Reconstruction
 Wearable Development
 Super Resolution
II. 3D Stereoscopic Display Processing Technology:
 Texture and Depth Packaging (CTDP Format)
 Depth Enhancement and Hole Filling Algorithm Development
 Up-Sampling and Refinement for Depth Map
 Comfort Display Technology
 Depth Image based Rendering (DIBR)
 Stereo Matching Technology
III. Digital Video Compression Technology:
 H.264 / AVC
 High Efficiency Video Coding
 Frame Prediction Mode

    This laboratory focuses on the research of communication systems and related techniques, covering the areas from physical layer, MAC layer, to network layer. The research study includes system design, theoretical analysis, performance simulation/verification, and the realization of DSP/FPGA firmware.
Currently, the researching topics are：

1. Technology and resource allocation schemes for B4G (5G) mobile communication system, including massive MIMO, dense small cell, and NOMA technique.
2. QoS routing protocols with cross layer deign for ad hoc networks. 3. System design and the FPGA/DSP realization of power line communication (PLC) and visible light communication (VLC).

    Cloud and Network Security Laboratory, CANS Lab, is formerly known as High-speed Network Laboratory, HSNET Lab. The Lab focuses on the cloud network management and security-related research and practice. The main research covers network security, network communications, network traffic management, cloud computing, digital forensics, IoT, botnet, VANETs and other fields as well. The Lab published numerical papers on IEEE Transactions and other well-known journals and completed implementation of prototypes of several cloud security systems, and achieved several invention patents. Most graduate members serve in telecommunication companies, netcom manufacturers or related institutions and universities. Basically, M.S. student before graduation in the Lab should publish a conference paper at least.

    Wireless communication and network laboratory (WCN) was founded by Dr. Chih-Wen (Wenson) Chang in Department of Electrical Engineering, National Cheng Kung University in August 2006. The current research interests of the WCN Lab include radio resource management (RRM) and cross-layer optimization for the wireless communication systems. Recently, we have investigated several critical RRM issues for the 3.5G, 4G and more advanced wireless communication systems, e.g. WCDMA, HSPA, MC-CDMA, OFDM-based and CR systems.
Now, we are interested in the following and related issues:

1. Radio resource management for the 4G, 5G, femto-cell systems and CR network.
2. Performance analysis and optimization for cooperative communication system.
3. Application of Game theory to the wireless communication systems.
4. Adaptive cellular architecture design, including adaptive frequency planning and sectoring with aids of distributed antenna system and relays.
5. Cross-layer design and optimization for advan.

    Research in our lab focuses on signal processing techniques for digital communications systems, including the transceiver algorithms suitable for baseband ICs (such as MIMO detection, equalization, channel estimation, synchronization algorithms for multi-carrier systems, single-carrier systems, and next-generation systems), as well as distributed detection for cognitive radio systems.

    WICS Lab was established in 2012, led by Prof. Kuang-Wei Cheng. One of our passions is exploring the techniques to enhance the energy efficiency of RF/analog and mixed-signal integrated circuits. The research direction focuses on the development of energy-efficient RF front-end and wireless sensor interface circuit and systems, including (I) Energy self-sufficient ultra-low power transceiver, (II) RF front-end circuit, (II) RF energy harvester, and (IV) Low power analog-to-digital converter.

    Any members who join us should gain background knowledge about circuit design and communication principles, and also be familiar with the use of tools such as Cadence, ADS, MATLAB, etc. You would be able to do researches independently and accomplish the chip design, tape-out, and measurement before graduation. After graduation, most of the members join famous IC companies and serve as RF/analog IC design engineers.