Saint Petersburg Electrotechnical University "LETI" (ETU "LETI") , Saint Petersburg, Russian FederationProfessoraPopova str.

Transcription

1 Saint Petersburg Electrotechnical University "LETI" (ETU "LETI") , Saint Petersburg, Russian FederationProfessoraPopova str., 5 Master s program "Computer Science and Knowledge Discovery"

2 Professor Mikhail Kupriyanov Head of the master s program Saint Petersburg Electrotechnical University "LETI" (SPb ETU "LETI"), Saint Petersburg, Russian Federation Education - Engineer in the field of automatics, computer science and engineering (1973, faculty of Automatics, Computer Science and Engineering, SPb ETU "LETI") - PhD in automatics, computer science and engineering (1977, faculty of Automatics, Computer Science and Engineering, SPb ETU "LETI") - Dr. of Sci. in Computer Science and Engineering (1988, faculty of Computer Technologies and Informatics, SPb ETU "LETI") Current roles at SPb ETU "LETI" - Dean of the faculty (faculty of Computer Technologies and Informatics) since Head of the department (Department of Computer Science and Engineering) since Current member of Academic and Methodical Council "Information Systems and Technologies" - Head of Academic and Pedagogical School "Theory, Design and Application of Electronic Systems" - Head of Resource Center "Distributed Systems and Technologies" - Head of Research and Academic Center "Microprocessor Technologies" since Head of the master's program "Software for Information and Computational Systems" - Head of Research Center "Hardware and Software for Problem-oriented Systems of Information Processing and Control"

3 - Member of two Dissertation Councils in SPb ETU "LETI" since Head of research and academic projects at the faculty of Computer Technologies and Informatics since Honoured Science Worker of the Russian Federation Currently lecturing the following courses - Software project management (bachelor / 50 students) - lectures, seminars, practical training Research areas and publications machine learning, data mining, neural networks, multidimensional visualization, computational technologies, distributed systems, parallel systems and algorithms, embedded systems, software engineering, digital signal processing, real-time signal processing, decision-making support systems, information systems, microprocessor technologies, multiprocessor systems, network technologies, databases, cloud computing, hydroacoustics, wideband monitoring 250 publications, 70 author's certificates and patents Current research - Simulation of agent search engines with self-recovery - Development of digital signal processing algorithms for hydroacoustic monitoring tasks - Design of self-organizing distributed systems - Development of parallel algorithms for big data processing - Development of algorithms for intellectual analysis of data (data mining algorithms) in distributed systems - Development of algorithms for multidimensional visualization of data - Development of real-time data mining algorithms and their software and hardware implementation The projects are funded by the Ministry of Education of the Russian Federation and the Russian Foundation for Basic Research

4 Associate Professor Dmitry Klionskiy Vice-Head of the master s program Saint Petersburg Electrotechnical University "LETI" (SPb ETU "LETI"), Saint Petersburg, Russian Federation Education - Bachelor of Science in Applied Mathematics and Computer Programming (2007, Department of Software Engineering and Computer Applications, SPb ETU "LETI") - Master of Science in Applied Mathematics and Computer Programming (2009, Department of Software Engineering and Computer Applications, SPb ETU "LETI") - PhD in Applied Mathematics and Computer Science (2013, faculty of Computer Technologies and Informatics, SPb ETU "LETI") - Bachelor of Science in Linguistics (2011, Saint Petersburg State University) Current roles at SPb ETU "LETI" - Associate professor (Departments of Software Engineering and Computer Applications, Department of Computer Science and Engineering, Department of Automated Information Processing and Control Systems) since Deputy dean for international affairs (faculty of Computer Technologies and Informatics) since Senior researcher (faculty of Computer Technologies and Informatics) since Head of the research center of Digital Signal Processing (faculty of Computer Technologies and Informatics) since 2014 Currently lecturing the following courses

5 - Digital signal processing, digital information processing (bachelor / 50 students; master / 30 students, 3-4 credits) - lectures, seminars, practical training - Structural and spectral analysis of information (master / 30 students, 3-4 credits) - lectures, seminars, practical training - Informatics (bachelor / 30 students, 3 credits)- lectures, practical training - Mathematics (bachelor / 30 students, 3 credits) - lectures, practical training - Technical English (bachelor / 30 students, 2 credits) - lectures, practical training Research areas and publications digital signal processing, wavelets, spectral analysis, digital filtering, empirical mode decomposition, digital filter banks, adaptive filters, vibration signal processing, hydroacoustics, radio monitoring, reconfigurable systems, data mining, MATLAB, CUDA, educational technologies, technical English 90 publications, 5 patents Current research - Development of mathematical models, methods, and algorithms for hydroacoustic monitoring tasks - Development of mathematical models, methods, and algorithms for radio monitoring tasks - Development of new mathematical and software tools for telemetric signal processing - Software implementation of algorithms in MATLAB The projects are funded by the Ministry of Education of the Russian Federation and the Russian Foundation for Basic Research Previous positions - Assistant lecturer (Department of Software Engineering and Computer Applications, ) - Junior researcher (faculty of Computer Technologies and Informatics, )

6 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING Founded by the government regulation of the Soviet Union in The first department in the Soviet Union for training engineers and developers specializing in computer science and engineering; Main specialization: Computer Science and Engineering (1 bachelor s program, 3master s programs, 4 PhD programs); Connections with universities and companies:germany, USA, Canada, UK, Sweden, Holland, China, Poland, etc. The staff numbers 47 lecturers including 8 Prof. and 26 Ass. Prof. Research activities: highperformance systems, parallel computing, distributed computing, data analysis, machine learning, digital signal processing, information security, software and hardware development, embedded systems, cloud computing

7 4 th sem. (20 weeks, 30 credits) 3 rd sem. (18 weeks, 30 credits) 2 nd sem. (18 weeks, 30 credits) 1 st sem. (18 weeks, 30 credits) MASTER S PROGRAM CURRICULUM Pre-graduation practice (14 weeks) Professionally oriented foreign language Advanced data analysis and machine learning / Languages for hardware design and verification Data and visual analytics / Information security Professionally oriented foreign language Final State Certification (6 weeks) Information Parallel computing technologies in academic research and project activities Biometric technologies / Mathematical modelling Distributed systems and of linear and non-linear technologies systems / Basics of Commercialization of academic results and developments Industrial training (whole semester) Software development technology Industrial training (whole semester) Foreign language Social communications in professional environment system theory Algorithm design and optimization Digital signal processing Advanced mathematical methods Mathematical foundations of computer science Computational systems Intelligent systems Computer tools in Algorithmic mathematics education Academic training (whole semester)

8 DISCIPLINES OF THE PROGRAM Master s program "Computer Science and Knowledge Discovery" Section of data and signal processing and mathematics 1) Digital signal processing 2) Biometric technologies 3) Advanced mathematical methods 4) Algorithmic mathematics 5) Computer tools in education 6) Data and visual analytics Section of software and hardware design 1) Parallel computing 2) Languages for hardware design and verification 3) Basics of system theory 4) Information security 5) Software development technology Section of artificial intelligence, computer science and engineering 1) Advanced data analysis and machine learning 2) Intelligent systems 3) Distributed systems and technologies 4) Mathematical modelling of linear and non-linear systems General courses 1) Algorithm design and optimization 2) Mathematical foundations of computer science 3) Computational systems

9 PARTNERS OF THE PROGRAM 1) Research and Engineering Center of Saint Petersburg Electrotechnical University 2) Speech Technology Center 3) Motorola Solutions 4) Saint Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences 5) IBM 6) Luxoft 7) Siemens 8) Steklov Mathematical Institute of the Russian Academy of Sciences 9) Corporation "Oceanpribor" 10) EPAM

10 KNOWLEDGE ACQUIRED AND CAREER OPPORTUNITIES Skills and knowledge acquired use of modern information technologies foracquiring, processing, and analyzing information software developmentand software verification (including information security) mathematical modelling, advanced data analysis and artificial intelligence data mining and knowledge discovery techniques development of signal processing, image processing, and pattern recognition algorithms design of microprocessor systems Career opportunities Software development Research institutes Information security Computer network companies and centers centers support centers Data analysis centers Digital signal and image processing laboratories

11 ACADEMIC EVENTS AT THE UNIVERSITY (1) EPAM Talks in LETI Scientific achievements of "LETI" represented for the International Energy Prize "Global Energy" International Conference on Soft International Conference on Unveiling of HUAWEI Computer Measurements (SCM) Electrical and Electronic Engineering laboratory (department (IEEE ElConRusNW) of Computer Science and Engineering)

12 ACADEMIC EVENTS AT THE UNIVERSITY (2) International Scientific Symposium "Sense. Enable. SPITSE" (Saint Petersburg, Illmenau, Moscow) History of the event Result of the Strategic Partnership of engineering science departments of three Universities (joint education and research): St. Petersburg Electrotechnical University "LETI" (Saint Petersburg, Russian Federation) Ilmenau University of Technology (Illmenau, Germany) National Research University "Moscow Power Engineering Institute" (Moscow, Russian Federation) Main Conference Topics Novel technologies for optical sensors and devices Smart sensors, sensor signal acquisition Biomedical diagnostics Nonlinear dynamic system modelling, digital signal processing Wireless sensor networks and network security Data fusion and data mining Embedded software engineering

13 RESEARCH GROPUPS AND LABORATORIES Software and hardware for Methods and algorithms of Pattern recognition and problem-oriented information digital signal processing image analysis processing systems PhD, Ass. Prof. D.M. Klionskiy PhD, Ass. Prof. N.L. Shegoleva PhD, Dr. of Sci., Prof. M.S.Kupriyanov Intelligent data Information analysis and security machine learning PhD, Ass. Prof. PhD, Ass. Prof. I.I. Holod E.G. Vorobjev Mobile applications and computer networks, PhD, Ass. Prof. K.V. Krinkin

14 RESEARCH FOR MASTER S DEGREE (1) Pattern recognition, biometrics, image processing and image analysis Models of images and their representation in 2D, 3D-spaces, and subspaces; Search for persons in images (localization and detection); Image retrieval in large databases; Face image recognition with illumination problems; 3D-surface model restoration; Image recognition in criminology.

15 RESEARCH FOR MASTER S DEGREE (2) Intelligent data analysis and knowledge discovery Development of data mining techniques for on-line and off-line data and signal processing; Development of new technologies for knowledge extraction; Development of multi-agent technologies of data analysis and knowledge extraction; Development of adaptive system models using neural networks and fuzzy logic; Development of information representation algorithms in the form of a fuzzy adaptive distributed information field; Software for data analysis and knowledge extraction; Intelligent techniques of processing data that characterizes functioning of complex dynamic objects; Intelligent techniques of speech signal processing; Development of new data mining algorithms (segmentation, clustering, classification, one-dimensional and multidimensional sequential analysis, mining association rules); Development of process mining and visual mining algorithms.

16 RESEARCH FOR MASTER S DEGREE (3) Data and signal processing using Data Mining algorithms

17 RESEARCH FOR MASTER S DEGREE (4) Digital signal processing and its applications Development of wideband monitoring algorithms: vibrational signal processing; radio wave propagation; radio monitoring algorithms; hydroacoustic monitoring algorithms; Development of signal classification algorithms; Development of signal denoising, detection, and parameter estimation algorithms; Development of high-performance techniques of digital filtering; Development and software-hardware implementation of digital filter banks; Development of wavelet-based techniques of signal processing.

18 RESEARCH FOR MASTER S DEGREE (5) Digital signal processing and its applications Development of mathematical models of vibrational, geophysical, biomedical, and hydroacoustic signals; Development of time-frequency analysis algorithms; Implementation of digital signal processing algorithms using the CUDA technology.

19 RESEARCH FOR MASTER S DEGREE (6) Software engineering and distributed systems Software development (C, C++, Java, Javascript, Python, Qt); Verification, certification, and quality estimation of software; Development of combinatorial algorithms of computational geometry; Development of structures and algorithms of data processing; Development of distributed systems including service-oriented systems; Study of monitoring techniques of distributed systems including serviceoriented systems and computational networks; Development of distributed information systems for economic and industrial applications; Development of corporate distributed systems for managing corporations activities; Development of industrial distributed systems of equipment management.

20 RESEARCH FOR MASTER S DEGREE (7) Information security Development of new approaches to computer network simulation for improving simulation accuracy of safety processes; Study of techniques for detecting and preventing infrastructure attacks against cloud computational environments; Development of protective mechanisms for cloud computational environments on the basis of intelligent data analysis; Creation of environments for operating systems; Blocking dangerous processes in RAM; Information transmission with increased security using a universal quantum protocol; Remote hidden management of computational network resources; Simulation of distributed computational networks; Protection of important network resources by using its distributed architecture implementation.

21 LOOKING FORWARD TO MEETING YOU IN "LETI"! Learn more at: Contact us (Ass. Prof. D.M. Klionskiy, Vice-head of the master s program) mikhail.kupriyanov@gmail.com(prof. M.S.Kupriyanov, Head of the master s program)