This direction focuses on major cutting-edge issues in cyberspace security and computer science, conducts original research, produces research results with significant impact, and publishes papers in first-class international magazines and conferences. Connect theory with practice, apply research results to actual engineering projects, solve problems in engineering applications, carry out demonstration applications, and contribute scientific and technological strength to economic development. Main research includes cryptography, information security, coding theory, algorithms and computational complexity, complex networks, graph theory and its applications, basic theories of artificial intelligence, etc. There are currently 2 professors, 4 associate professors and 1 lecturer in this direction, and they have been awarded Shanghai Leading Talents, Shanghai Excellent Academic Leaders, Shanghai Dawn Plan, Shanghai Pujiang Talent Plan, Shanghai Morning Star Plan, Shanghai Qi It has won the second prize of the Shanghai Natural Science Award in 2011, 2014 and 2019, and the second prize of the Ministry of Education Natural Science Award in 2011 and 2013. second prize. The laboratory not only has a strong theoretical research level, but also conducts research on IEEE Transmission. ., and undertakes projects such as the National Key R&D Plan, the National Natural Science Foundation, the National 863 Program, and the National Natural Science Foundation. He also has strong application development capabilities, especially cryptographic engineering, blockchain, network virtual reality and security engineering development capabilities, and is responsible for a large number of engineering application projects.
Shanghai Blockchain Engineering Technology Research Center: Provincial and ministerial level platform. It was approved by the Shanghai Science and Technology Commission in November 2018 and officially established in February 2019. Mainly carry out research on the underlying technology of blockchain, especially the combination of cryptography and blockchain technology to improve the privacy and usability of blockchain. At the same time, we combine blockchain with practical applications and carry out demonstration applications. Blockchain has been used in copyright protection, product traceability, academic certification, cross-school course selection, etc. Cultivate high-level blockchain talents, including professional doctorates and professional masters, and carry out general blockchain technology and blockchain operation talent training for the blockchain industry. society. Professor Kan Haibin serves as the director of Shanghai Blockchain Engineering Technology Research Center.
Professor Kan Haibin, doctoral supervisor. He has long been engaged in research on cryptography and information security, blockchain, algorithm design and computational complexity, coding theory and information theory. He works on the design and analysis of stream ciphers (especially secure Boolean function construction), lattice-based cryptosystems, and encodings. Conducted systematic and in-depth research on grid representation, orthogonal space-time block code design, blockchain technology, etc., solved 4 international open problems, and published more than 80 SCI papers as the first/corresponding author, most of which For publication in IEEE Trans. and other publications. Hosted the National Key R&D Program, National Natural Science Foundation of China Regional Key Projects, 5 National Natural Science Foundation projects, Shanghai Leading Talents, Shanghai Outstanding Academic Leaders Program, Shanghai Science and Technology Innovation Action Plan, Shanghai Basic Research Key Projects, and some Talent fund project. He serves as the director of the Shanghai Blockchain Engineering Technology Research Center and the director of the Fudan-Zhongan Blockchain and Information Security Joint Laboratory, where he conducts blockchain research and application development. Won the second prize of the Natural Science Award of the Ministry of Education in 2011, the second prize of the Shanghai Natural Science Award in 2011, the second prize of the Natural Science Award of the Ministry of Education in 2013, and the second prize of the Shanghai Natural Science Award in 2014 (the above are all first prizes) prize). He has won the Shanghai Leading Talent, Shanghai Outstanding Academic Leader, Baosteel Outstanding Teacher Award, Shanghai Talent Award, China Cryptozoology Society Innovation Award, Shanghai Shuguang Scholar, Ministry of Education New Century Excellent Talents Plan, Shanghai Pujiang Talent Plan, etc. . As the first completer, he also won the first prize of Shanghai Teaching Achievement Award in 2017.
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Professor Zhang Zhongzhi, doctoral supervisor. The main research directions include complex networks, basic theories of artificial intelligence, graph data mining, intelligent information, social network analysis, spectral graph theory, etc. He has published or accepted more than 100 papers in international journals and conferences such as IEEE Trans, TCS, Comp J, PRE, JCP, SODA, WWW, IJCAI, ICDM, WSDM, etc., including 1 ESI highly cited paper and 3 cover articles. article. Currently, this paper has been cited more than 4,000 times and was selected into the list of "China's Highly Cited Scholars in 2019". Hosted 4 National Natural Science Foundation projects. He has successively won the title of Excellent Doctoral Thesis of Liaoning Province, the title of Excellent Postdoctoral Thesis of Fudan University, the Fudan University Fuhua Teaching and Research SCI Paper Individual Award, the Third Prize of Shanghai Natural Science Award (first completer), and the 2020 Annual Award (2019 Best Paper Award) ). Best Paper Award). Guided 12 graduate students to win national scholarships; guided more than 10 students to study for doctoral degrees at world-famous universities, including 3 doctoral students.
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Jin Lingfei, associate professor, master's tutor. Associate professor in the School of Computer Science and Technology. He received his PhD from Nanyang Technological University in Singapore and conducted postdoctoral research at CWI in the Netherlands and Nanyang Technological University in Singapore. The main research direction is coding and cryptography, including quantum error correction codes, fault-tolerance technology in distributed storage, privacy protection in machine learning, high-precision positioning algorithms, etc. To date, in CCF-a journal. Hosted many projects such as the Natural Science Foundation of China, Shanghai Morning Star Talents, Sail Plan, and Morning Light Plan. He has been invited to participate in domestic and foreign academic conferences and give reports many times. Served as a youth editorial board member, served as a member of the 2020 EASIT Program Committee, and won the third prize of the 2018 Cryptozoology Technology Progress Award.The main research contents are as follows: (1) Construction of quantum error-correcting codes, (2) Fault-tolerance technology in distributed storage, (3) Privacy protection in machine learning, (4) Coding-based cryptographic public key system
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Jiang Zhongding, associate professor, master's tutor. Obtained bachelor's and doctoral degrees from the State Key Laboratory of CAD&CG, Department of Computer Science and Engineering, Zhejiang University. He is currently the director of the Interactive Graphics Laboratory, a member of the Computer Society's Virtual Reality and Visualization Technology Committee, and a member of the Computer-Aided Design and Graphics Committee. . The main research directions are interactive entertainment, virtual reality and augmented reality, including distributed virtual reality systems, blockchain-based virtual reality systems and immersive data visualization analysis platforms. The immersive virtual reality demonstration system developed was successfully used in many projects such as the 2010 Shanghai World Expo, new generation high-speed train braking simulation, civil aviation air traffic control (ATC) simulation system, etc.; Hosted the National 863 Project, National Natural Science Foundation, Microsoft Asia Research institute hospital and many other projects. He has published more than ten papers in first-class journals such as IEEE TVCG, IEEE CVPR, IEEE ICME, IEEE, IEEE, IEEE ICIP and other internationally renowned conferences. Guiding students to win first and second prizes in the National Challenge Cup, and guiding graduate students to enter the Massachusetts Institute of Technology to study computer science.PhD
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Li Jingtao, senior lecturer and master's tutor. Main research directions: Internet of Things and Internet of Vehicles, medical imaging AI, passwords and network security, etc. He has published more than 10 academic papers in authoritative journals and conferences at home and abroad, and his works have been cited by scholars at home and abroad more than 300 times. Served as a reviewer for many important academic journals at home and abroad (such as IEEE TIFS, of, etc.) and international conferences. Teacher Li is affable and deeply loved by his students. In 2018, students from the School of Economics were elected as Fudan University’s “Good Teacher in My Heart” through a secret vote. The undergraduate course "Information Security" he is responsible for teaching was rated as a quality course in Shanghai.
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Xu Yingxiao, senior engineer, master's tutor. Main research directions: blockchain, software engineering, serious games, and data mining. Main projects: Practical teaching of software testing courses based on artificial intelligence (Ministry of Education-Baidu industry-university cooperation collaborative education project), design thinking (Ministry of Education-IBM industry-university cooperation collaborative education project), e-commerce innovation and entrepreneurship course construction (Ministry of Education- Baidu Industry-Academic Cooperation Collaborative Education Project-Industry-Academic Cooperation Collaborative Education Project), Serious Game Application and Design Curriculum Reform and Construction (Ministry of Education-Microsoft School-Enterprise Cooperation Major Comprehensive Reform Project); Research on game-based computing ability training methods (Ministry of Education - Baidu school-enterprise cooperation major comprehensive reform key project). Awards: Second Prize for Teaching Achievements in Shanghai, Fourth Prize for Scientific and Technological Progress in Jiangsu Province, Third Prize for Excellent Textbooks in Shanghai Ordinary Colleges and Universities, Outstanding Young Teachers in Shanghai, IBM China Outstanding Teacher Award, "PSI-Xin Yu" "Silk" "The third prize of the Internet Science Popularization Award, the Outstanding Blog Award of the 3rd National Youth Science Popularization Blog Competition of the CN Domain Name Cup, the second prize of Food (Student) in the 2019 Alibaba Cloud Tianchi Competition, and the "Five-Star" Work of the Game Committee of the China Educational Game Association in 2018 Honor (student) )), 2018 NetEase Leihuo Games College Student Educational Game Design and Development Training Camp Outstanding Works (Student)
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Wang Xueping, lecturer and master's tutor. Graduated from the School of Computer Science and Technology of Fudan University with bachelor's, master's and doctoral degrees. After graduation, he stayed at the school to teach. From 2008 to 2009, he received funding from the National Fund to study in Germany for one year. His major is computer network and information security. Participated in a number of national vertical scientific research projects, and has successively undertaken vertical scientific research projects such as "Metropolitan Area Network Security Certification System", "Network Information Security", and "PKI Research"; has successively undertaken multiple corporate projects and provided multiple consulting and consulting services to enterprises. Technical Services. support. In recent years, research directions have mainly focused on network security, computer networks, big data analysis, etc.
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Li Yuan, young associate researcher and master’s tutor. He graduated from the School of Computer Science and Technology of Fudan University with a bachelor's degree in 2011 and a doctorate in 2017. He received his PhD from the Department of Computer Science at the University of Chicago in 2017. His research direction during his PhD was computational complexity (circuit complexity). After graduating with a Ph.D., he worked as a software engineer in the Google Cloud Computing Department in California, USA. His research interests are computational complexity, coding theory, and cryptography. Published many articles in IEEE on, FOCS, SIAM on, etc.
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