Signal and Information Processing, Networking and Computers

The First International Conference on Signal and Information Processing, Networking and Computers (ICSINC) focuses on the key technologies and challenges of signal and information processing schemes, network application, computer theory and application, etc. Topics in this conference include:
Information Theory
The work contains state-of-the-art research work in the field of information theory from traditional media coding theory, compressing and streaming theory to the latest quantum theory & statistics and big data analytics, featuring the most active research interests in this field.
Communication System
As a traditional and fundamental aspect of the conference in the field of signal processing and networking, ICSINC publications includes research works focusing on physical layer transmission theory such as MIMO transmission, adaptive antenna theory, and radar and satellite transmission, etc. Research works in the field of SDN, wireless security and 5G related theories are also included.
Computer Science
The conference also encompasses relevant topics in computer science such as AI & neural network, patter recognition & learning, and medical image processing etc. Other topics such as internet application, biometric & authentication are also included.
Workshop
ICSINC features workshops hosted by experts from the industrial world. The workshop on Telecom Big Data based Research and Application promotes the in-depth exploration of the most recent research and development findings on the basis of telecom big data. This workshop provides participation of the industry to showcase and commercialize their relevant technology and application as well as products. All materials will be included in publication.

Na Chen received her B.Sc. degree in 2011 from Beijing University of Posts and Telecommunications, China. She is currently a Ph.D. candidate at Beijing University of Posts and Telecommunications. Her research interest includes signal processing, wireless communications, multimedia communication. Her current work focuses on the resource constrained wireless multimedia transmission.

Tingting Huang received her B.S. Degree in Electronic Information Science and Technology in 2014 from the College of Physical Science and Technology, Central China Normal University, China. Since September 2014, she has been working and studying at the Multimedia Communications and Interactive Institute, Beijing University of Posts and Telecommunications, China. Her research interests include High Efficiency Video Coding (HEVC), Joint Source Channel Coding (JSCC) and Machine Learning.