The Department of Computer Science and Technology of Shanghai Normal University was established in 1986, with a master's degree in computer application technology 1996, a master's degree in computer software and theory in 2000, a master's degree in computer technology engineering in 20 10, and a master's degree in computer science and technology in 201.
Shanghai Normal University is a comprehensive university with the coordinated development of arts and sciences with the characteristics of teacher education. There are 10 disciplines such as science, engineering and management, and the development of these disciplines needs the support of computer science. In the orientation planning of school development, this discipline is a characteristic discipline, and now it has formed a scientific research and teaching system with reasonable discipline distribution, multi-discipline and multi-level, and has become an important training base for scientific and technological professionals in Shanghai.
After more than 20 years of development, this discipline has formed a group of graduate tutors with good scientific literacy, strong scientific research ability, rich teaching experience and dedication. There are more than 30 professors and associate professors, and there are * * * 4 teachers with doctoral degrees1person. Members of this discipline have won 3 scientific and technological progress awards from the Ministry of Education, 4 scientific and technological progress awards from Shanghai, 2 outstanding teaching achievement awards from Shanghai and 2 outstanding courses awards from Shanghai. Nine members of this discipline have successively won the honorary titles of National Excellent Teacher Award, National Baosteel Excellent Teacher Award, Shanghai Yucai Award and Shanghai Shuguang Scholar.
1, software engineering theory and practice.
Research fields: software testing technology, software reliability engineering; Software estimation and measurement, software process improvement model and method; Implementation technology of model-driven architecture (MDA).
Research contents: This paper mainly studies the software test method based on coverage, the design and research of test set generation method based on Web logs, the statistical test and reliability measurement system of Web applications, the test technology based on state transition diagram, the finite state machine theory and the research of object dynamic test model. Through the study of software fault-tolerant technology and software reliability calculation, the comprehensive grading and grading evaluation method of software credibility is established, and the quantitative measurement of software quality is realized. Based on UML model, software scale estimation, development progress measurement and design quality measurement models are established, which can effectively carry out the research and development of trusted software and the quantitative analysis and evaluation of software credibility. In the aspect of software process improvement model and method, taking small and medium-sized software enterprises in China as the application object and CMM and CMMI as the standards, this paper studies the software process improvement model and method with low cost and strong operability. At the same time, under the framework of Model Driven Architecture (MDA), the establishment, extension and transformation technology of software model are studied.
2. Image processing and pattern recognition.
Research fields: Biometrics, 3D object modeling, terahertz spectral image processing, data mining.
Research contents: Extraction of image feature points and its application in image retrieval and face recognition, face recognition, semantic image segmentation and its target recognition algorithm, data mining technology of big data, gas load prediction, realistic modeling and rendering of high-light objects, terahertz image restoration and automatic target recognition algorithm.
3. theory of computer network and its application (theory of computer network and its application).
Research fields: wireless sensor networks, Internet of Things, SDN and other network coding and modulation; Network topology optimization control, network layer and transport layer reliable optimization protocol; Service load balancing technology in application layer; Application technology and application of mobile internet.
Specific research contents:
According to the different levels of the network, using the theory of discrete stochastic process and network calculus, the research object and its behavior are modeled with a reasonable stochastic system, and the related performance research is transformed into statistical analysis and parameter solution of constrained optimization problems. This paper studies MAC resource allocation, call admission control and network topology control in wireless networks to optimize network performance.
4. Big data and intelligent computing.
Research areas: big data storage, analysis and query optimization technology; Data analysis, mining and pretest; Semantic web and ontology; Trusted computing and service computing; Intelligent information recommendation.
Specific research contents: According to the massive data environment, unstructured data storage, massive data optimization query, big data analysis and mining are carried out, optimization theory and method are designed, and artificial intelligence technology and deep learning technology are combined to realize intelligent analysis and dimensionality reduction of semantic features of big data, and effective data calculation and reasoning technology is established; Aiming at the platform environment such as social network and Internet service, the application and research of massive data mining and analysis, data credibility query and other related theories and technologies are carried out.
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