Program Overview

Introduction to the Institute of Information Networking and Multimedia

The Institute of Information Networking and Multimedia, abbreviated as the Institute of Networking and Multimedia, was established in 2004 with the approval of the Ministry of Education. It is part of the College of Electrical Engineering and Computer Science, along with the Department of Computer Science and Information Engineering and the Institute of Biomedical Electronics and Bioinformatics. The institute has 15 full-time faculty members, 37 jointly appointed teachers, and 7 part-time teachers.

Research Focus

The institute focuses on academic innovation and industrial applications, encouraging cross-disciplinary collaboration. To bridge the gap between academia and industry, it has planned key research and development areas, including networking, multimedia, data science, artificial intelligence, and system applications. The institute aims to cultivate high-level talent needed for national information infrastructure and the development of the networking and multimedia industry.

Education and Admission

The institute admits approximately 42 master's students and 9 doctoral students each year through a selection process and entrance exams. It also recruits overseas students and international degree students. Currently, there are about 120 master's students and 50 doctoral students. The institute encourages students from non-computer science backgrounds, such as psychology, art, and design, to apply. The curriculum is designed to balance theory and practice, with a focus on both breadth (multimedia, networking, systems, and applications, data science, and artificial intelligence) and depth (foundations, core, advanced, and special topics).

Research Areas

The institute's research focuses on four main areas:

• Networking: The institute conducts research on the Internet of Things, software-defined networking, network security, and ultra-low latency communication. It has made breakthroughs in key technologies such as heterogeneous communication and security protocols, cross-layer design, transmission performance analysis, and optimization.
• Multimedia: The institute's research encompasses image processing, image recognition, human-computer interaction, and virtual reality. In recent years, it has achieved significant results in virtual reality systems and applications, human-computer interaction mechanisms, large-scale image search, and classification.
• Data Science and Artificial Intelligence: The institute is committed to developing big data and machine learning algorithms for analyzing structured and unstructured data.
• Systems and Applications: The institute is dedicated to building next-generation high-performance, low-power computing platforms, including smart mobile devices, IoT devices, and cloud computing. Its research results include the design of middleware for IoT devices, heterogeneous computing, and large-scale data storage systems.

Curriculum

The institute's curriculum is designed to provide students with a comprehensive education in information networking and multimedia. The courses cover a wide range of topics, including:

• Networking: networking fundamentals, network security, and network management
• Multimedia: multimedia systems, human-computer interaction, and virtual reality
• Data Science and Artificial Intelligence: data mining, machine learning, and artificial intelligence
• Systems and Applications: computer systems, software engineering, and data storage systems

Faculty and Research

The institute has a strong faculty with diverse research interests and expertise. The faculty members are committed to conducting high-quality research and providing excellent education to students. The institute's research focuses on both theoretical and practical aspects, with an emphasis on interdisciplinary collaboration and innovation.