Instrumentation Science and Technology

The Master’s Program in Instrumentation Science and Technology was recognized in 1981 as one of the first institutions in China authorized to confer master’s degrees. It now boasts five provincial-level key laboratories and has cultivated a high-caliber faculty team, with a distinguished professor from the Changjiang Scholar Program of the Ministry of Education leading the academic efforts, supported by a team of doctoral supervisors. Core courses include: Random Signal Theory and Analysis, Principles of Detection Instrument Design, Nondestructive Testing Theory, Introduction to Wavelet Analysis, New Technologies in Fault Diagnosis, Data Fusion Technology, Machine Vision Detection Systems, In-pipe Detection Technology, Pattern Recognition, and Digital Image Processing Technology.

The discipline team focuses on cultivating academically innovative talents to address the needs for teaching, research, engineering technology development, and management professionals in enterprises, higher education institutions, and research institutes in the field of instrumentation science and technology. The research focus in the in-line detection field revolves around nondestructive testing technologies, such as flux leakage, electromagnetic, ultrasonic, magnetic memory, and acoustic emission. The research addresses safety and maintenance challenges related to oil and gas pipelines, pressure vessels, and other equipment by conducting scientific and technological studies and developing detection instruments and automated detection devices. The main research areas of machine vision detection and image recognition include the detection of surface or internal defects of objects on industrial production lines, geometric performance measurement, feature information recognition, human biometric identification, intelligent surveillance systems, autonomous driving systems, and the scientific and technological research and algorithm development related to these areas. The research focus of equipment condition monitoring and fault diagnosis technology includes sensor and measurement technologies, data acquisition, digital signal processing, databases, computer hardware and software, big data and data mining, and AI-based communication. Unmanned system payload technology is mainly centered around the environmental perception requirements of unmanned systems, facilitating tasks like target detection, identification, positioning, and tracking, which in turn improve the intelligent decision-making abilities of these systems.

Electronic Science and Technology

The Master’s Program in Electronic Science and Technology traces its origins to the Semiconductor Physics and Devices major founded in the 1960s and was granted the authority to confer the master’s degrees in 1993. It houses several provincial and ministerial research platforms, including the Liaoning Province Integrated Circuit Key Laboratory and the Liaoning Province Innovation and Academic Exchange Center for Electrical and Information Graduates. The discipline also maintains close collaborations with organizations such as the Shenyang Institute of Automation, Chinese Academy of Sciences, the Shenyang Institute of Instrumentation, and Shenyang Zhonghang General Technology Co., Ltd., setting up a series of graduate training and internship bases. There are currently 20 master's degree supervisors, including 7 doctoral supervisors, with 2 faculty members selected for the Liaoning Province "Hundred, Thousand, Ten Thousand Talents Project.”

The key courses offered in this program include Integrated Circuit Design Methods, Analog Integrated Circuit Design, Digital Integrated Circuit Design and Implementation, Integrated Circuit Automatic Control Theory and Systems, Integrated Circuit Manufacturing Theory and Methods, Semiconductor Materials Simulation Technology, and Semiconductor Device Modeling and Simulation. Three research directions have been established: integrated circuit chip design, micro-electromechanical system integration, and new semiconductor materials and devices. A range of proprietary circuits and devices have been developed, including precision constant current source temperature compensation circuits, CNC continuous-time function signal generation circuits, piezoresistive high inherent frequency acceleration-sensitive chips, and conduction-type modulated transistors. Over the past five years, the faculty members have been awarded 4 national-level projects, received a Liaoning Provincial Science and Technology Progress Award, co-authored 2 monographs, published more than 70 high-profile academic papers, and secured over 40 invention patents. In various national graduate innovation and entrepreneurship competitions, the students have won 2 enterprise awards and more than 70 national-level awards, with their overall performance ranking first in Northeast China and among the top ten nationwide. Graduates are employed by renowned enterprises and institutions such as China Electronics Technology Group, CR Micro, and SGMICRO, with an employment rate of 100%.

Information and Communication Engineering

The Master’s Program in Information and Communication Engineering represents a field of engineering with comprehensive foundational knowledge, wide application areas, and rapid development. It was granted the authority to confer the master’s degrees in 2006. The faculty team includes 26 members, including 6 professors, 8 associate professors, and 6 doctoral supervisors. Among them, 24 have doctoral degrees, and 9 have experience working or studying abroad. The key courses include Modern Signal Processing, Machine Learning, Digital Image Processing Technology, Acoustic Signal Processing and Intelligent Analysis, Machine Vision Detection Systems, Modern Antenna Design, Modern Communication Networks, Optical Wireless Communication, Mobile Network Resource Management and Network Optimization, Adaptive Filtering Theory and Implementation, Radio Frequency System Design and Applications, and Signal Detection and Process Analysis.

Three research directions have been established in this program. They are intelligent signal and information processing, modern communication technology, and system identification and signal detection. Significant research progress has been made in fields such as robotic visual servoing, image-based biometric recognition, pattern recognition, non-Gaussian and nonlinear signal processing, system identification, and modern communication technologies. These achievements have provided significant theoretical research outcomes and key technologies for communication fields such as mobile communications, the Internet of Things, and optical networks, as well as for major equipment fields such as robotics and smart appliance manufacturing. The discipline team has undertaken various projects, including the National Natural Science Foundation, the Ministry of Science and Technology's Spark Program, key projects from the Ministry of Education, the Liaoning Provincial Natural Science Foundation, the Liaoning Provincial Department of Education's Outstanding Talent Program, and Shenyang Major Research Achievement Commercialization Project. In the past five years, the team has engaged in 19 government-funded projects, with total non-governmental research funding approaching ten million RMB. The discipline team prioritizes international development and has established partnerships with foreign universities. Additionally, it emphasizes the practical application of theory, having established multiple graduate training bases in collaboration with renowned technology companies in China.

Computer Science and Technology

The discipline was granted the authority to confer master’s degrees in 1990. The full-time faculty includes 10 professors, 6 doctoral supervisors, 1 national-level leading talent, 1 individual at the “Hundred Talents” level and 1 at the “Thousand Talents” level of Liaoning Province's “Hundred, Thousand, Ten Thousand Talents Project,” 1 “Xingliao Talent” entrepreneurial leader, 1 “Xingliao Talent” young top-tier talent, 5 individuals supported by the Liaoning Provincial Excellent Higher Education Talent Support Program, and 2 Outstanding Young Backbone Teachers of Liaoning Province. The key courses include Combinatorial Mathematics, Advanced Algorithm Design and Analysis, Academic Frontier Lectures, Deep Learning, Pattern Recognition, Advanced Python Programming, Advanced Artificial Intelligence, Image Processing and Analysis, Social Networks and Computing, Industrial Internet Technology, Modern Cryptography, and Real-Time Systems.

The program is dedicated to training specialized professionals in applied fundamental research and applied research within the field of new-generation information technology. Its unique academic focuses include computer vision and pattern recognition, machine learning and intelligent systems, and computer networks and information security. Various innovation platforms have been created, including laboratories and engineering technology centers at the provincial, ministerial, and municipal levels. The research is primarily based on the Liaoning Provincial Key Laboratory of Machine Vision, focusing on fundamental research and applied technology development in machine vision and deep learning, as well as investigations into intelligent computer system design and implementation methods for engineering applications. In the field of new-generation network technologies and information security, the research explores key supporting technologies for the next-generation network, next-generation trusted Internet models and their applications, information encryption and decryption, intrusion detection, privacy protection, key technologies for industrial control network security and their applications, multimedia technology, database systems, and security and confidentiality technologies for wireless sensor networks.

New-Generation Electronic Information Technology (Including Quantum Technology)

The Master’s Degree Program in New-Generation Electronic Information Technology (Including Quantum Technology) is designed to develop high-level engineering and technical professionals with interdisciplinary skills, capable of integrating areas such as information, communication, control, and artificial intelligence. It focuses on areas such as signal acquisition technology, big data analysis, artificial intelligence, machine learning, embedded intelligent systems and instruments, intelligent control, and intelligent sensing technologies. The key courses offered in this degree program include Intelligent Information Processing Technology, Intelligent Detection and Control Technology, Computer Vision and Deep Learning Applications, Modern Digital Signal Processing and Applications, Precision Displacement Measurement and Control Technology, Multimodal Audio and Video Processing, Time Series Analysis, and Engineering Case Studies in New-Generation Electronic Information Technology.

The program includes 1 Liaoning provincial master’s degree joint training base and several other university-level joint training bases. The faculty for this degree program at the university consists of 15 master's supervisors, 3 doctoral supervisors, 3 professors, and 3 associate professors, with over 87% holding doctoral degrees. Additionally, there are 15 external joint training supervisors. In recent years, the faculty members have led over 100 government-funded research projects, including those supported by the National Natural Science Foundation, the Ministry of Education, the Ministry of Science and Technology, the Liaoning Provincial Science and Technology Department, the Liaoning Provincial Education Department, and the Shenyang Municipal Science and Technology Bureau. They have received 6 research awards, 4 grants from the National Natural Science Foundation, and been awarded over 30 projects at the provincial, municipal, and enterprise levels, with total research funding exceeding 14 million RMB. In addition, the faculty members have published over 200 academic papers in leading Chinese and international academic journals and conferences, with nearly 100 papers indexed by the three major indexing databases. They have also hosted several provincial-level teaching reform projects and received awards for their efforts. Three research directions have been established for this degree program: intelligent information processing, intelligent perception systems, and embedded and intelligent control.

Communication Engineering (Including Broadband Networks and Mobile Communication)

The Master’s Degree Program in Communication Engineering (Including Broadband Networks and Mobile Communication) provides a solid foundation of knowledge, spans a broad array of application areas, and represents one of the fastest-growing fields in engineering. The degree program teaches students how to apply information theory, communication theory, transmission and exchange theory, and signal processing theory to explore theoretical and engineering challenges related to signal detection, information acquisition, information transmission, information exchange, information processing and application, and the design of communication and network systems. The faculty for this degree program at the university consists of 11 master's supervisors, 4 doctoral supervisors, 3 professors, and 3 associate professors, with all holding doctoral degrees; there are also over 20 external supervisors. The degree program includes 2 provincial master’s degree joint training bases, as well as 3 university-level training bases. Three research directions have been established for this degree program: communication signals and information processing, image processing and robotic visual servoing, and nonlinear signal processing and system identification.

Significant progress has been made in fields such as robotic visual servoing, image-based biometric recognition, pattern recognition, non-Gaussian and nonlinear signal processing, system identification, and modern communication technologies. These achievements have provided significant theoretical research outcomes and key technologies for communication fields such as mobile communications, the Internet of Things, and optical networks, as well as for major equipment fields such as robotics and smart appliance manufacturing. The faculty team has undertaken over 20 provincial- and ministerial-level projects, including the National Natural Science Foundation, the Ministry of Science and Technology’s Spark Program, and key projects from the Ministry of Education. The key courses include Modern Signal Processing, Modern Communication Network Technology and Applications, Modern Mobile Communication Technology and Case Studies, Nonlinear Fiber Optics, Terahertz Technology, Digital Image Processing Technology, Robot ROS System Development and Case Studies, Radio Frequency System Design and Case Studies, Mobile Edge Computing Technology and Applications, Machine Learning Technology and Applications, and Embedded System Principles and Applications.

Integrated Circuit Engineering

The Master’s Degree Program in Integrated Circuit Engineering provides integrated circuit chip and system design, fabrication, testing, and application for high-tech areas such as the Internet of Things, edge computing, artificial intelligence, and new-generation mobile communication networks. This degree program covers fundamental theories such as semiconductor materials and devices, microelectronics technology, microelectromechanical systems, nanotechnology, and quantum mechanics, as well as integrated circuit design, manufacturing, packaging, testing, and application. It has evolved into a comprehensive engineering domain that intersects and integrates disciplines such as microelectronics and solid-state electronics, materials science, and computer science. Three research directions have been established: integrated circuits and system-on-chip, new semiconductor materials and devices, microelectromechanical systems, and intelligent electronic systems. Key courses include Integrated Circuit Design Methods, Analog Integrated Circuit Design, Digital Integrated Circuit Design and Implementation, Semiconductor Material Simulation Technologies, Semiconductor Device Modeling and Simulation, Microelectromechanical System Design, and Sensor and Interface Circuit Design.

The faculty team includes 30 master’s supervisors, who have undertaken dozens of provincial- and ministerial-level projects, including those funded by the National Natural Science Foundation, the Ministry of Education, and the Ministry of Science and Technology. They have published over 100 high-profile academic papers and secured over 40 invention patents. The students have won 2 enterprise prizes, over 70 national-level awards, over 200 provincial-level awards in various innovation and entrepreneurship competitions. The degree program is backed by several provincial and ministerial research platforms, including the Liaoning Province Integrated Circuit Key Laboratory, as well as strong partnerships with organizations such as the Shenyang Institute of Automation, Chinese Academy of Sciences, and Shenyang Zhonghang General Technology Co., Ltd., which have led to the establishment of a series of graduate training and internship bases.

Computer Technology

The Master’s Degree Program in Computer Technology combines computer science theory, applied technology, and engineering methods with real-world practices to solve practical problems. It serves as a major driving force in the information society and is a vital scientific and technological domain for human life in the information age. The current faculty consists of 32 full-time teachers and 6 part-time master's supervisors from enterprises. The faculty members include 10 professors and 6 doctoral supervisors. The full-time faculty includes 10 professors, 6 doctoral supervisors, 1 national-level leading talent, 1 individual at the “Hundred Talents” level and 1 at the “Thousand Talents” level of Liaoning Province’s “Hundred, Thousand, Ten Thousand Talents Project,” 1 “Xingliao Talent” entrepreneurial leader, 1 “Xingliao Talent” young top-tier talent, 4 individuals supported by the Liaoning Provincial Excellent Higher Education Talent Support Program, and 2 Outstanding Young Backbone Teachers of Liaoning Province.

This program has made significant research advancements in areas such as computer vision and image processing, computer networks and information security, cloud and edge computing, intelligent computer systems, and machine learning. It has undertaken over 50 national-, provincial-, and ministerial-level projects, established 2 provincial and ministerial key laboratories, 1 provincial engineering research center, 1 municipal key laboratory, and 1 university-level joint graduate training demonstration base. Three research directions have been established: visual detection and application, intelligent computing and application, and computer systems and application. The key courses include Combinatorial Mathematics, Pattern Recognition, Machine Learning, Big Data Analysis, Advanced Software Engineering, Software Project Management and Case Studies, Advanced Algorithm Design and Analysis, Computer Vision and Case Studies, Computer Graphics and Virtual Reality, Computer System Security, and Embedded Systems.

Instrumentation Engineering

The Master’s Degree Program in Instrumentation Engineering focuses on the development of devices, equipment, and technologies for detection, measurement, monitoring, and control. The degree program covers engineering optics, sensing technology, electronics, computer technology, precision machinery, modern measurement and control technologies and systems, as well as the basic theories, technologies, and methods related to the design, manufacturing, testing, use, and maintenance of precision instruments and automatic instruments. It has evolved into a comprehensive engineering domain that intersects and integrates disciplines such as precision machinery, electronics, optoelectronic engineering, computer science, detection technology, and automation. The degree program includes 2 Liaoning provincial master's degree joint training bases and 2 university-level joint training bases.

The faculty for this program consists of 36 master’s supervisors, including 10 from enterprises. Among them, 9 are professors and 11 are associate professors, with over 96% holding doctoral degrees. The faculty members have undertaken hundreds of research projects supported by the National Natural Science Foundation, the Ministry of Education, the Ministry of Science and Technology, as well as provincial and municipal research funds. They have secured over 100 million yuan in non-governmental research funding and have earned over 20 national and provincial awards. The degree program currently focuses on four research areas: in-line detection technology, machine vision detection technology, modern acoustic detection technology, and general detection technology for unmanned systems. The key courses include Case Studies of Non-destructive Testing Technology Applications, Case Studies of Machine Vision Detection System Design, Case Studies of Process Detection Technology Applications, Case Studies of Virtual Instrument Technology Applications, Automation Instruments and Systems, Optical Fiber Sensing Technology, Principles and Applications of Embedded Systems (Information), Nonlinear Detection and Applications, Introduction to Machine Learning, Optoelectronic Payload Technology for Unmanned Systems, and Intelligent Video Analysis and Applications.