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Section iii





Department of Automation


History and Leading Scientists of the School


The school was set up in 1972 on the basis of the scientific seminar Control System Design organised at the Department of Automation in the Novosibirsk Electrical Engineering Institute (now NSTU). In 1976, representatives of other educational institutions of Novosibirsk began participating in the work of the seminar and by 1978 it had become a school of thought.

Two prominent scientists Prof. A. S. Vostrikov and Prof. A. S. Anisimov are considered the founders of the school. Prof. Anatoly S. Vostrikov, D.Sc. (Eng.), Rector of NSTU, is a member of the International Academy of Sciences of Higher School, member of the Russian Academy of Engineering Sciences, the author of more than 125 printed papers, among them 4 monographs and 5 teaching manuals, and Chairman of 2 specialized Doctors Boards conferring the D.Sc. degree. Besides, Prof. A. S. Vostrikov is actively involved in supervising research work of doctoral and postdoctoral students. Three postdoctoral students and twenty-two doctoral students successfully defended their theses under his guidance.

Prof. Alexander S. Anisimov, D.Sc. (Eng.) is a corresponding member of the Siberian Division of the Academy of Sciences of Higher School, the author of more than 150 printed papers, 2 monographs and 14 teaching manuals included, and Vice-Chairman of a specialized Doctors Board conferring the D.Sc. degree. He also supervises research of postgraduate students and one postdoctoral student and twelve doctoral students were awarded their degrees under his supervision.

Other competent and respected scientists, for example, Prof. A A. Voyevoda, D.Sc. (Eng.); Prof. V.V. Pankratov, D.Sc. (Eng.); Prof. M.M. Simonov, D.Sc. (Eng.), Prof. V.D.Yurkevich,D.Sc.(Eng.); Assoc. Prof. Y.B. Gavrilov, Cand. Sc.(Eng.); Assoc. Prof. G.P. Golodnykh, Cand. Sc.(Eng.); Assoc. Prof. G. A. Frantsuzova, Cand. Sc. (Eng.) and others form the core of the school. At present over

33 research and academic staff members, doctoral and postdoctoral students of the department of automation contribute to further development of the school. They are involved in doing research in the following areas:

Development of design methods for adaptive, extremal, continuos and discrete control systems;

Design of algorithms and software for control systems based on digital signal processors;

Development of methods and algorithms for the dynamic object identification.


The members of the school also take an active part in training undergraduate and graduate students. They deliver lectures in such courses as Automatic Control Theory, Digital Control Systems, Optimal and Adaptive Control Systems, Multi-channel Control Systems, Production Process Automation Systems, Automated Electric Drive Systems, Control System Design and Control Object Identification, Digital Filtration Methods, Statistical Methods for Signal Prediction and others.

Doctor of Science and Candidate of Science.degree programmes in Technical System Control are offered to graduates wishing to do further research in the field.


Major Results of Research


A new effective approach to the design of control systems for essentially nonlinear variable dynamic objects has been developed. This approach is based on the localization method. A special fast internal circuit is formed in the control system to localize the influence of uncontrollable signal and parametric disturbances. The circuit is formed by using the state vector derivative and high gains in the control law, which allows suppressing external disturbances and giving the necessary dynamic characteristics to the control system.

Methods of analysis and design have been developed for single-channel and multi-channel control systems, adaptive and tracking systems as well as control systems for distributed parameter object.

A new theory has been developed for routine identification of essentially variable parameters of dynamic objects.

New effective methods have been designed for parametric identification and identification of impulse response, free from restrictions on the degree of desired parameter variation.

A new structural approach has been developed to designing algorithms for restoring input signals of dynamic systems.

New methods and algorithms have been developed for mutual transformations of linear mathematical models of dynamic objects.

New methods and algorithms for the identification of impulse and frequency responses have been developed. They are effective under conditions of a priori uncertainty and are low sensitive to the properties of objects being identified as well as to the nature and. level of noise.

New methods and algorithms have been designed for the reconstruction of the differential equation of the object by evaluating its impulse response.

New methods and algorithms have been designed for the filtration of short realizations of signals


The results of research were discussed at more than 60 international and all-Russian conferences, congresses and symposia of IFAC included. Four all-Russian scientific and engineering conferences on Microprocessor Control Systems were held in Novosibirsk (1974, 1987, 1990, and 1992). Five all-Russian scientific and engineering symposia on the application of the identification theory methods in metrology and measurement engineering were also held in Novosibirsk (1972,1975, 1982, 1985,and 1989). Four monographs were published; 60 investigations were completed, with the results being applied at 30 enterprises. A new lecture course on nonlinear control systems was developed as well as a new lecture course on the automatic control theory.

The results of theoretical research were used in solving such engineering problems as the stabilization of electric arc parameters in an electric arc steel-melting furnace, control of an aircraft air conditioning system, and design of a multi-channel adaptive optical system.





Department of Applied Mathematics and

Department of Software and Databases


History and Leading Scientists of the School of Thought


Systematic research into the design and analysis of experiments began at NSTU in 1972 at the department of applied mathematics headed by associate professor V.I. Denisov, a well-known expert in this field who later founded a school of thought. This research and academic school was being created and developed during over 26 years along with the development and expansion of the department of applied mathematics. Later, the faculty of applied mathematics and information science was set up, with the department of applied mathematics being its core. Since 1972 Prof. V.I. Denisov has been supervising research work of postgraduate students first in Engineering Cybernetics and Information Theory, then, since 1991, in Control in Engineering Systems and Application of Computer Facilities, Mathematical Modelling and Mathematical Methods in Research. Prof. Vladimir I. Denisov, D.Sc. (Eng.) is a member of the International Academy of Sciences of Higher School, corresponding member of the Russian Academy of Engineering Sciences, the author of more than 160 papers, 6 monographs and 6 teaching manuals included, He is also Chairman of Doctors Boards conferring D. Sc. and Cand. Sc. Degrees. Being the leader of the school he supervised the research of 6 postdoctoral and 20 doctoral students who successfully defended their theses.

Outstanding and competent scientists known for their discoveries and inventions co-operate fruitfully in the school, among them Prof. A.G. Vostretsov, D.Sc. (Eng.). Vice-Rector for Research Work; Prof. Y.D. Grigoryev, D.Sc. (Eng.); Prof. B.Y. Lemeshko, D.Sc. (Eng.); Prof. A.A. Popov, D.Sc. (Eng.); Prof. Y.G. Soloveichik, D.Sc. (Eng.); Prof. V.I. Khabarov, D.Sc. (Eng.); Prof. E.B. Tsoi, D.Sc. (Eng.); Assoc. Prof. T.V. Avdeenko, Cand. Sc. (Eng.); Assoc. Prof. N.B. Itkina, Cand. Sc. (Eng.) and others. In total, over forty researchers, postdoctoral and doctoral students carry out research in the school.


Main Areas of Research


Development and analysis of algorithms for constructing optimal experiment designs for convex functionals of information matrices with unknown parameters of static and dynamic models of multi-factor systems.

Development of theoretical principles of the finite element method for solving three-dimensional problems of electromagnetism and heat transfer. Elaboration and study of algorithms for the analysis and design of experiments for distributed systems described by partial differential equations.

Elaboration of criteria for the analysis of local and global identifiability of parameters of models presented in the form of systems of ordinary differential and difference equations.

Development of the theory of stable detection., estimation and filtration of signals.

Development of artificial intelligence systems for the investigation of complex multi-factor systems by means of active experiment methods.


The members of the school collaborate with researchers of leading higher educational institutions in Russia (e.g. Moscow State University (MSU), the Institute of Mechanics in MSU, St. Petersburg State University, Moscow Power Engineering Institute, etc.) as well as with scientists from foreign universities (e.g. Vienna Technical University, Hemnitz-Zwikau Technical University, etc.).


Main Directions of Training Activity


Training of undergraduate students in applied mathematics and computer science.

Training of certified engineers in applied mathematics

Training of postgraduate students in applied mathematics and information science, in mathematical modelling and in computer mathematical support and software

Training of postgraduate students and doctoral students in Application of Computing Facilities, Mathematical Modelling and Mathematical Methods in Research, Principles of Mathematical Modelling, Numeric Methods and Program Sets, and Mathematical Support and Software for Computers, Computer Complexes, Systems and Networks

Major Results of Research


General-purpose computer systems of algorithms for the analysis and design of experiments that form the basis for the design of application program packages, dialogue systems, expert systems, etc. have been proposed, elaborated and investigated.

Direct and dual-direct algorithms have been proposed, developed and investigated for building optimal (locally optimal) mini-max and bias experiment designs with linear and non-linear parameterization of the regression equation set for a compact domain of independent variable variation as well as algorithms for optimality criteria of convex functionals of information matrices.

The task of the grouped response experiment analysis and design has been set and resolved.

Methods of developing invariant and unbiased rules have been worked out for detection and identification of signals under a priori uncertainty on the basis of the approximation of distribution functions of the values under study.

Methods of the signal parameter estimation under a priori uncertainty have been elaborated on the basis of the theory of effective estimation of distribution parameters by using complete sufficient statistics and the method of moments.

New variational statements for solving nonlinear non-steady state problems of electromagnetism arising in complex technical devices have been developed as well as new approaches to solving 3D problems of electromagnetism.

Distributions of statistics of non-parametric fitting criteria of the Kolmogorov, Smirnoff or Mises type in testing various complicated hypotheses by means of different estimation methods have been investigated. Approximations of statistics distribution laws of appropriate criteria for various complicated hypotheses have been built.

A differential and geometric approach to constructing an asymptotic second-order nonlinear regression theory by the least square method has been developed.


Based on these investigations, general-purpose application program packages were elaborated for the experiment analysis and design on various computers; solutions to three-dimensional stationary and non-stationary problems of electromagnetism and heat transfer were proposed; software for automated measurement and control systems as well as an expert system to study multi-factor objects were elaborated. The teaching manual Applied statistics. Rules for testing experimental and theoretical distribution agreement. Methodological recommendations in two parts was written.




Department of semiconductor devices and microelectronics (SD&ME) and an affiliated branch of the SMD department at the Institute of Semiconductor Physics (ISP) of the Siberian Division of the Russian Academy of Sciences (SD RAS)


History of the School


In the mid-60s it became quite evident that semiconductor sensors played a crucial role in providing further development of instrumentation systems, in designing improved automated control systems and equipping civil and military industrial enterprises with them. In the early 1970s, large- scale work on designing photosensors for various wave length ranges started at the Institute of Semiconductor Physics under the supervision of Prof. I.G. Neizvestny. First, investigations were carried out with germanium and later with compound semiconductors, the procedure of molecular-beam epitaxy having been developed by that time. In 1995, I.G. Neizvestny was awarded a State Prize of the Russian Federation for his fundamental and experimental investigations of a new class of photosensitive semiconductor materials. Quite soon vital importance of research work in microelectronics became obvious and in 1975 an affiliated branch of the department of semiconductor devices and microelectronics was set up in the Institute of Semiconductor Physics. It is headed now by I.G. Neizvestny.

On the initiative of Prof. A.F. Gorodetsky and Prof. V.S. Shadrin work on designing discrete semiconductor strain gauges started at the department of SD&ME, which resulted in creating first domestically produced commercial structures.

In the early 1970s, Prof. V.S. Gridchin initiated work on designing a new class of semiconductor devices - integrated strain-gauge transducers for converting mechanical values into electrical ones. These strain-gauge transducers provided a basis for designing sensors of pressure and acceleration of a new type that were later introduced into commercial production at Russian industrial enterprises. Prof. V.A. Gridchin was the first to consider in his papers both theoretical aspects of strain-gauge transducer operation and production problems of manufacturing pressure sensors having high measuring characteristics. He also solved some major problems of their physical and topological design.

Fundamental and applied research carried out at NSTU and the Institute of Semiconductor Physics of SD RAS as well as devices designed there opened the way for further development of sensor microelectronic devices at industrial enterprises in Moscow, St. Petersburg, Saratov, Penza, and Tomsk.




Prof. Victor A. Gridchin, D.Sc. (Eng.), Dean of the Faculty of Radio Engineering, Electronics and Physics, Head of the SD&ME department, Corresponding Member of the International Academy of Sciences of Higher School, Vice-Chairman of the Siberian Branch of the Russian Physical Society, member of IEEE, author of more than 170 papers, 2 monographs and 1 teaching manual included, prepared

8 candidates of science in engineering and supervises research of

3 postdoctoral students, Chairman of a specialized Doctors Board conferring the Cand. Sc. degree and member of a specialized Doctors Board conferring the D. Sc. degree.

Prof. Igor G. Neizvestny, D.Sc. (Phys. & Math.), Deputy Director for research work in the Institute of Semiconductor Physics of the SD RAS, Head of the affiliate of the SD&ME department at the Institute of Semiconductor Physics of the SD RAS, Winner of the State Prizes, Corresponding Member of the Russian Academy of Sciences, author of more than 200 papers 5 monographs and 2 teaching manuals included, prepared 5 doctors and 15 candidates of science in engineering.

Currently twenty-five scientists and researchers, three postdoctoral and five doctoral students are contributing to research carried out in the school, among them A.N. Dvurechensky, D.Sc. (Phys. & Math.); Prof. A.F. Kravchenko, D. Sc. (Phys. & Math.); Prof. V.N. Ovsyuk, D. Sc. (Phys. & Math.); Prof. V.A. Pchelyakov. D. Sc. (Phys. & Math.), State PrizeWinner; Assoc. Prof. V.P. Dragunov, Cand. Sc. (Phys. & Math/); Assoc. Prof. O.V. Kibis, Cand. Sc. (Phys. & Math.); Assoc. Prof. V. M. Lyubimsky, Cand. Sc. (Phys. & Math.); Assoc. Prof. N.B. Pridachin, Cand. Sc. (Phys. & Math.) and others.


Main Areas of Research


Development of theoretical aspects of designing sensor microelectronic devices.

Elaboration of theoretical principles of polysilicon-based strain-gauge operation

Development of production principles of manufacturing of a new class of semiconductor strain-gauge transducers based on the SMART-CUT technology

Design of 3D mathematical models of mechanical components of pressure sensors

Investigation into new types of nanoelectronic structures to be used in sensor electronics.


Main Directions of Training Activity


Design of a syllabus and teaching aids for a new major subject Sensor Electronics. Its introduction into the curricula of Microelectronics and Semiconductor Devices and Sensor Electronics and Micromechanics

Training of certified engineers in Sensor Electronics and Micromechanics.

Training of postgraduate students in Sensor Electronics and Micromechanics.

Writing teaching manuals in sensor electronics and micromechanics.

Writing teaching manuals in nanoelectronics.

Setting - up educational and research laboratory Sensor Electronics and Micromechanics.

Training of doctoral and postdoctoral students in Sensor Electronics and Micromechanics.


Major Results of Research


Fundamentals of semiconductor sensor design with due attention to the effect of various factors - temperature, pressure and radiation - have been elaborated

Physical and topological models of major types of mechanical sensors and sensors of radiation have been developed.

First Russian integrated pressure sensors with self-compensated temperature characteristics have been developed and put into commercial production.

First Russian pressure sensors with polysilicon dielectric insulation for a wider operating temperature range have been designed and put into commercial production.

5-channeel sound probes for gastric examination based on small-size integrated strain gauges have been developed in cooperation with the Clinical and Experimental Medicine Institute of the Russian Academy of Medical Science.

Fundamental research into processes occurring in microelectronic films and structures to be used in sensor electronics, micro- and nanoelectronics has been carried put.

Unique methods for monitoring the rate of growth of semiconductor structures have been developed.

High sensitive linear and matrix-integrated IK photosensors with an operating range from 6 to 25 mm have been designed.






Department of Production Management (PM)


History of the School


In the late 60s an acute demand arose for highly qualified competent economists capable of tackling scientific and economic tasks of increasing industrial production efficiency. Taking this into account the Novosibirsk State Electrical Engineering Institute (now NSTU) opened a new major Mechanized Processing of Economic Information and first students were enrolled in 1966. Soon after K. T. Dzhurabaev was appointed head of the department of economics and industrial production management (EIPM). In 1966, the department became a center of higher economic and engineering education in Novosibirsk. During the first years of development the conditions grew ripe at the department for setting up other economic departments. The department of computer processing of economic information, the department of industrial economics, the department of production management, the department of finance and law (now it is the department of finance and taxation policy), and the department of accounting branched off from the department of EIPM.

K.T. Dzhurabaev, the founder of the school of thought, developed a new trend in the theory and methods of norm-setting and industrial process organization under conditions of production development. This direction was first presented and analyzed comprehensively in the monograph Peculiarities of Labor Norm-Setting In Production Development published Economika Publishers in Moscow.

The methods developed by him were widely used in an experiment on using a collective labour contract in industry, which was described in his book Organization of Collective Contract Practice published by Machinostroyenie Publishers, Moscow. Theoretical considerations, conclusions and recommendations were used in textbooks and manuals for higher schools published by Vyshaya Shkola Publishers, e.g. Economics of Electrical Engineering Industry, Organization and Planning of Electrical Engineering Industry. Management of Electrical Engineering Enterprise, Scientific Organization and Labor-Norm Setting in Electrical Engineering Industry,etc.

Over the period from 1994 to 1999 he conducted a number of investigations on the development of theoretical and applied problems of organization and management of production under conditions of transition to a market economy.

From 1996 to1998 special attention was given to the development of problems of restructuring and adaptation of industrial enterprises to new forms of management. The results of these investigations were presented in a number of publications and reports. Doctoral students also used these results in writing their theses.

At the present time Prof. K.T. Dzhurabaev is a supervisor of the sub-programme Organizational and Economic Problems of Competitive Industry Development carried out by the International Academy of Theory and Practice of Production Management.


Leading Scientists of the School


The founder and leader of the school is Prof. Kakhraman T. Dzhurabaev, D. Sc. (Econ.), Head of the department of PM; Member of the International Academy of Science and Practice of Production Management; Member of the Academy of Liberal Arts of the Russian Federation, author of more than 250 papers including 18 monographs, 6 textbooks and teaching manuals published by central publishing houses, 3 books are published abroad; prepared 2 doctors of science and 26 candidates of science in economics, Vice-Chairman of a specialized Doctors Board conferring the D.Sc.degree and member of a Doctors Board conferring the Cand. Sc. Degree.

The staff of thirty-one experienced specialists, two postdoctoral and 18 doctoral students are involved in doing research and academic work in the school, among them Prof. G.E. Bazhenov, D. Sc. (Econ.); Prof. L.L. Kalachyova, D. Sc. (Econ.); Prof. M. A. Kuvshinova,

D. Sc. (Econ.); Prof. V. A. Titova, D. Sc. (Econ.); Prof.

A. A. Shaposhnikov, D. Sc. (Econ.) and others.




Department of Computing Facilities (CF)


History of the School


In 1962, systematic work in applied statistics and data analysis began with research into automatic identification of speech signals under the guidance of N. G. Zagoruiko, Cand. Sc. (Eng.). In 1964, the first Cand. Sc. degree in this area was awarded to G. Ya. Voloshin. Now Prof. G. Ya. Voloshin is a distinguished scientist who obtained

a D. Sc.degree for his research. Later, the research staff extended the domain of investigation to cover identification of images in hydroacoustics, geology, sociology, medicine and some other applied areas. Based on this, research into new methods of data and knowledge analysis and other methods used in the design of systems for decision-making that use statistical analysis of data and knowledge was initiated. D. Sc. degrees in this field area were awarded to

N. G. Zagoruiko (1969), G. S. Lbov (1974), G. Ya. Voloshin (1977), V. I. Kotyukov, (1985), K. F. Samokhvalov (1990), A. V. Kelmanov (1996) and Yu. A. Ustyugov (1998).

In 1964, hardware for the statistical analysis of signals was developed under the contract with the Volgograd tractor plant. First it was done under the guidance of senior teacher Yu. K. Postoenko, then in 1965 V. V. Gubarev took charge of this research. In 1971,

V. V. Gubarev was awarded a Cand. Sc. degree for his thesis Multi-Purpose Analysers of Random Processes (principles of constructing and error analysis) which was written by him independently without any scientific supervision. The first doctoral dissertation within the school of thought was written by A. I. Krichevsky under the guidance of Assoc. Prof. V. V. Gubarev. The doctoral programme in this area was opened in 1978.


Leading Scientists of the School


Prof. Vassily V. Gubarev, D. Sc. (Eng.), Head of the department of CF; Dean of the Faculty of Automation and Computer Engineering; Member of the Russian Academy of Natural Sciences; Member of the International Academy of Informatization (IAI); author of more than 300 papers, 8 monographs, 1 textbook and 10 teaching manuals included; holder of 19 copyright certificates and patents; prepared

1 doctor of science and 15 candidates of science in engineering; Member of 4 specialized Doctors Boards conferring the D. Sc. degree.

Prof. Nikolai G. Zagoruiko, D. Sc. (Eng.), staff member of the department of Theoretical Cybernetics of NSU, Member of IAI; author of more than 180 papers including 13 monographs; holder of 16 inventors certificates and patents; prepared 6 doctors of science 23 candidates of science in engineering; Member of 2 specialized Doctors Boards conferring the D. Sc. degree.

Other prominent scientists, including Prof. G. Ya. Voloshin, D. Sc. (Eng.); Prof. L. N. Ivanov, D. Sc. (Eng.); A. V. Kelmanov, D. Sc. (Phys. & Math.); Prof. V. I. Kotyukov, D. Sc. (Eng.); Prof. G. S. Lbov, D. Sc. (Eng.); Prof. K. F. Samokhvalov, D. Sc. (Phys. & Math.); Assoc. Prof. O. Ye. Trofimov, D. Sc. (eng.); Assoc. Prof.

YU. A. Ustyugov, D. Sc. (Eng.), work fruitfully and further develop the traditions of the school.

On the whole, more than 50 staff members and 15 doctoral students do research in the school.


Main Areas of Research Activity


Development of theoretical principles of algorithms for statistical measurements, identification, imitation and prediction of random signals and statistical systems

Development of methods and means for identifying regularities, recognition and synthesis of speech, texts and images

Design of certain classes of intelligence computer systems for the acquisition and processing of experimental data and solving various application problems of data analysis

Solving research application problems


Main Directions of Training Activity


New academic disciplines Statistical analysis of signals and systems, Systems analysis in experimental research, Theoretical Informatics, Artificial Intelligence, Computer Graphics, Simulation and Analysis of Signals and Systems have been developed.

Curricula for 4 Bachelors courses and for 5 Masters courses have been designed.

New academic disciplines Artificial Intelligence and Data Analysis and Statistical Methods of Image Identification have been developed.

Teaching manuals for training courses Artificial Intelligence and Empirical Prediction and Methods of Data Analysis have been written.

The monograph Application Methods of Data and Knowledge Analysis to be used as a textbook has been published.

A site in the Internet (www.mathnsc.ru/AP/oteks) was opened with a brief hypertext textbook on data analysis.


Major Results of Research


Theoretical principles of algorithms for statistical measurements, signal identification, simulation and prediction, statistical measurement systems, statistical testing grounds, the method of modelletheque for solving these problems, new characteristics of random signals invariant to any monotone one-to-one transformation of signals have been developed.

Procedures, mathematical methods, algorithms and software for automatic identification of empirical regularities, identification of images under a limited sampling size as well as data analysis under characteristics heterogeneity, poor representation of the sampling, presence of noises, errors and blanks have been elaborated.

Specific classes of computer systems have been designed and implemented for the acquisition and processing of uniform and different-type experimental data and for solving various application problems, e.g. expert and neuron computer systems, multi-purpose partner systems such as OTEKS, EKSNA, ASSOD, etc.

Various application problems have been solved, among them engineering diagnostics, monitoring of the population health, forecasting in power engineering, in technological, economic, agricultural and other areas.


The results of these investigations were presented at more than 250 International and All-Russian conferences and symposia, IFAC, LAPR, AL, IFIP, IMECO congresses and symposia included. They were also implemented as automatic and automated processing systems for management, control and measurement of experimental data and introduced into 34 industrial enterprises and organizations. Fifteen All-Russian research symposia on statistical analysis of signals, seventeen All-Russian workshops on Automatic Recognition of Audio Images (ARAI) and four All-Russian conferences on Method of Regularity Identification (MRI) were held.




This programme gives citizens of the Russian Federation having engineering and specialist degrees an opportunity to improve their research and teaching qualifications.

Admission to the programme is competitive. There are full- and time-part courses. The period of study in the full-time programme must not exceed three years and in the part-time it lasts four years. The time spent in the full-time programme is included in the record of service as research and teaching work.

Candidates have interviews with their prospective research advisors and take admission examinations in their majors, philosophy and a foreign language.

The results of final examinations in philosophy and a foreign language passed in the M. Sc. programme may be accepted as entrance examinations if they were included in the individual plan of a graduate student and were passed with an excellent or good mark.


Majors with Concentrations


I. Physics and mathematics

Mathematical logic, algebra and number theory

Theoretical mechanics

Mechanics of strained solid bodies

Fluid and plasma dynamics

Dynamics and strength of machines, devices and equipment


Semiconductor physics

Thermal physics and theoretical heat engineering

Physics of charged particles and accelerating facilities

II. Engineering sciences

Manufacturing engineering

Control methods and diagnostics in mechanical engineering

Theory of machines and mechanisms

Mechanical and physicotechnical treatment technology and equipment

Strength and heat conditions of aircraft

Electromechanics and electric machines

Electromechanical systems and complexes


Power electronics

Measurement methods and instruments

Information control and measurement systems

Medical devices, systems and products

Image and sound conversion methods and devices

Radio engineering. Radio navigation, radio location and television devices and systems

Antennas, microwave devices and manufacturing techniques

Telecommunications systems, networks and equipment

Systems analysis, data control and processing

Mathematical and software support of computers, computer complexes and nets

Telecommunications systems and computer networks

Fundamentals of information science

Mathematical modelling, numerical methods and program systems

Power plants and electric power systems

Industrial heat power engineering

High voltage engineering

Thermal power stations, their power systems and equipment

Physical metallurgy and heat treatment of metals

Electrochemical change technology and corrosion protection

Applied chemistry processes and equipment

Agricultural electrotechnologies and electric equipment

Solid-state electronics, radio electron components, micro- and nanoelectronics, quantum effect devices

Vacuum and plasma electronics

Technologies and equipment for manufacturing semiconductors, materials and electronic devices

III. Economics

Economics and national economy management

IV. Philosophy

Ontology and epistemology/cognitive theory

Social philosophy

V. Philology


VI. Education

Learning and instruction technology, history of pedagogy and education

Theory and methods of teaching and education


Postdoctoral Study and Research



Automatic control under incomplete information about plant properties; software and dataware

Efficiency, ecological compatibility and quality of large power system operation

Long-term systems, machines and mechanisms for advanced technologies


1. Speech practice


Seminar: NSTU Schools of Thought

Start with a brief history of school of thought you belong to, mentioning its leading scientists. Then describe its the main fields of research. After that give a talk about the achievements and results of the research work.


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