Main Teachers Vituleva Elizaveta

Vituleva Elizaveta


Associate professor
The Department of «Smart technologies in engineering»

PhD

email: lizavita@list.ru



Professional experience

Associate Research Professor,

Digital Engineering and Technology Institute (Almaty)

Management and implementation of R&D in the fields of artificial intelligence, neuromorphic computing, and intelligent control systems. Development of algorithms for digital signal and image processing based on multi-valued logic and Galois fields.

 

Research Fellow,

Satbayev University (Almaty)

Participation in scientific projects on intelligent monitoring, remote sensing, and digital modeling of processes in agriculture and telecommunications. Development of analytical models for UAV platforms and neural network systems for big data processing.

 

Senior Research Fellow,

NAO Al-Farabi Kazakh National University (Almaty)

Research in the field of philosophy of technology and post-industrial communication systems. Formation of an interdisciplinary methodology for understanding digital noospheric processes and AI integration in the humanities.

 

Senior Research Fellow,

National Engineering Academy of the Republic of Kazakhstan (Almaty)

Conducting scientific research in the fields of digital technologies, neuromorphic systems, intelligent signal processing, radio engineering, and telecommunications systems. Implementer and manager of grant-funded projects of the Ministry of Science and Higher Education of the Republic of Kazakhstan. Author and co-author of more than 100 scientific publications, including 8 monographs and 15 patents.

 

Senior Lecturer,

G. Daukeev Almaty University of Energy and Communications

Teaching courses in Radio Engineering, Electronics, and Telecommunications Systems. Scientific supervision of undergraduate and master's research, introduction of modern ICT and communication management methods into the educational process.

 

Project Manager,

AdverSo LLP (Almaty)

Project management in the field of information technology and corporate communications, coordination of the development of advertising and analytical solutions.

 

Education

2010 - 2014 Gumarbek Daukeev Almaty University of Energy and Communications. Bachelor of Engineering and Technology, majoring in “5B071900 Radio Engineering, Electronics, and Telecommunications” No. 0635080.

2014 - 2016 Gumarbek Daukeev Almaty University of Energy and Communications. Master of Technical Sciences, specializing in “6M071900 Radio Engineering, Electronics, and Telecommunications” No. 0070894.

2018 - 2024 Gumarbek Daukeev Almaty University of Energy and Communications, Mansha Kozybayev North Kazakhstan State University.. PhD in Radio Engineering, Electronics, and Telecommunications, specialty 6D071900, No. 00016389225, dated March 7, 2025.

Scientific interests

Contractor in projects/programs

1. AP05132138 “Development of technology for the production of integrated self-sustaining urban air purification and conditioning systems.”

2. AP14870281 “Development of new approaches to digital image processing using convolutional neural networks.”

3. AP14870416 “Development of new approaches to solving philosophical problems of multi-valued logic as a means of establishing patterns of thinking.”

4. BR24992908 “Support system for agrotechnical measures in crop production based on a set of monitoring tools and artificial intelligence methods (Agroscope).”

5. AP26104635 “Development of new information technologies based on the formalization of dialectical logic.”

6. BR28713375 “Multipurpose robotic unmanned aerial platform for remote monitoring (AeroScope).”

 

7. Head of the “Zhas Galym” project for 2022-2024:

AP15473224 “Development of new approaches to constructing a theory of scientific revolutions.”



Publications

[1]  Y.  Vitulyova,  K.  Kadyrzhan,  A.  Kadyrzhan,  D.  Shaltykova,  and  I. 
Suleimenov,  “Reducing  the  description  of  arbitrary  wave  field  converters  to  tensor 
form,” Int. J. Inf. Technol. Singapore, vol. 17, no. 6, pp. 3275–3284, 2025. 
[2]  Kadyrzhan, D. Matrassulova, Y. Vitulyova, and I. Suleimenov, “Discrete 
Cartesian coordinate transformations: Using algebraic extension methods,” Appl. Sci. 
Switzerland, vol. 15, no. 3, p. 1464, 2025. 
[3]  Bakirov, D. Matrassulova, Y. Vitulyova, D. Shaltykova, and I. Suleimenov, 
“The specifics of the Galois field GF(257) and its use for digital signal processing,” Sci. 
Rep., vol. 14, no. 1, p. 15376, 2024. 
[4]  Suleimenov,  O.  Gabrielyan,  E.  Kopishev, A.  Bakirov,  and Y. Vitulyova, 
“Advanced  applications  of  polymer  hydrogels  in  electronics  and  signal  processing,” 
Gels, vol. 10, no. 11, p. 715, 2024. 
[5]  Y. Vitulyova,  O.  Gabrielyan, A.  Bakirov,  and  I.  Suleimenov, “Humanist 
ideals in an era of increasing confrontation: The need to renew basic paradigms,” J. 
Ecohumanism, vol. 3, no. 7, pp. 2064–2076, 2024. 
[6]  K. Kadyrzhan, D. Kaldybekov, S. Baipakbaeva, D. Matrassulova, and I. 
Suleimenov, “Electronic Fourier–Galois spectrum analyzer for the field GF(31),” Appl. 
Sci. Switzerland, vol. 14, no. 17, p. 7770, 2024. 
[7]  D.  Matrassulova,  A.  Massalimova,  A.  Bakirov,  Y.  Vitulyova,  and  I. 
Suleimenov,  “LGBT  agenda  in  Kazakhstan:  Social  and  psychological  aspect,”  J. 
Ecohumanism, vol. 3, no. 6, pp. 1799–1814, 2024. 
[8]  S. Ibragim, K. Mariya, and Y. Vitulyova, “Projective psychological tests 
from the point of view of neural network theory of society,” J. Ecohumanism, vol. 3, no. 
4, pp. 2603–2609, 2024. 
[9]  S. Ibragim, G. Oleg, and Y. Vitulyova, “Problems of many-valued logic 
from the point of view of the theory of socio-cultural code,” J. Ecohumanism, vol. 3, no. 
4, pp. 236–248, 2024. 
[10]  Suleimenov,  A.  Kadyrzhan,  D.  Matrassulova,  and  Y.  Vitulyova, 
“Peculiarities of applying partial convolutions to the computation of reduced numerical 
convolutions,” Appl. Sci. Switzerland, vol. 14, no. 14, p. 6388, 2024. 
[11]  Y.  Vitulyova,  I.  Moldakhan,  P.  Grigoriev,  and  I.  Suleimenov,  “Some 
regularities of transaction statistics of cryptocurrency Ethereum: Opportunities to study 
the impact of space weather on human economic behavior on a global scale,” Front. 
Blockchain, vol. 7, p. 1455451, 2024. [12]  I.E. Suleimenov, O.A. Gabrielyan, A.R. Massalimova, and Y.S. Vitulyova, 
“World spirit from the standpoint of modern information theory,” Eur. J. Sci. Theol., vol. 
20, no. 1, pp. 19–31, 2024. 
[13]  Y.  Vitulyova,  K.  Kadyrzhan,  A.  Kadyrzhan,  and  I.  Suleimenov, 
“Application  of  focusing  systems  to  the  protection  of  information  during  data 
transmission in the zone of direct radio visibility,” Int. J. Electron. Telecommun., vol. 
70, no. 3, pp. 699–705, 2024. 
[14]  Suleimenov, M. Kostsova, A. Grishina, D. Matrassulova, and Y. Vitulyova, 
“Empirical validation of the use of projective techniques in psychological testing using 
Galois fields,” Front. Appl. Math. Stat., vol. 10, p. 1455500, 2024. 
[15]  Y.  Vitulyova,  D.  Matrassulova,  M.  Kostsova,  S.  Kabdushev,  and  I. 
Suleimenov,  “The  problem  of  generating  psychological  tests  using  artificial 
intelligence,” in Proc. 5th Int. Conf. Mach. Learn. Human Comput. Interact. (MLHMI), 
2024, pp. 42–47. 
[16]  Y. Vitulyova, A. Bakirov, D. Shaltykova, and I. Suleimenov, “Analysis of 
the statistics of information processes in telecommunication networks from the point of 
view of a neural-network model of the noosphere,” E3S Web Conf., vol. 460, p. 04003, 
2023. 
[17]  I.E.  Suleimenov,  Y.S.  Vitulyova,  S.B.  Kabdushev,  and  A.S.  Bakirov, 
“Improving the efficiency of using multivalued logic tools,” Sci. Rep., vol. 13, no. 1, p. 
1108, 2023. 
[18]  I.E.  Suleimenov,  Y.S.  Vitulyova,  S.B.  Kabdushev,  and  A.S.  Bakirov, 
“Improving  the  efficiency  of  using  multivalued  logic  tools: Application  of  algebraic 
rings,” Sci. Rep., vol. 13, no. 1, p. 22021, 2023. 
[19]  I.E.  Suleimenov,  Y.S.  Vitulyova,  and  D.K.  Matrassulova,  “Features  of 
digital signal processing algorithms using Galois fields GF(2n+1),” PLoS One, vol. 18, 
no. 10, Art. no. e0293294, Oct. 2023. 
[20]  Y.S.  Vitulyova,  I.E.  Suleimenov,  D.K.  Matrassulova,  and A.S.  Bakirov, 
“Discrete form of the Huygens–Fresnel principle: To the multi-dimensional analog of 
the Nyquist–Shannon sampling theorem,” Int. J. Inf. Technol. Singapore, vol. 15, no. 7, 
pp. 3751–3759, 2023. 
[21]  B.B. Ermukhambetova, G.A. Mun, S.B. Kabdushev, Y.S. Vitulyova, and 
I.E. Suleimenov, “New approaches to the development of information security systems 
for unmanned vehicles,” Indones. J. Electr. Eng. Comput. Sci., vol. 31, no. 2, pp. 810–
819, 2023. 
[22]  Bakirov, I. Suleimenov, and Y. Vitulyova, “To the question of the practical 
implementation of ‘digital immortality’ technologies: New approaches to the creation of 
AI,” in Lect. Notes Netw. Syst., vol. 559, pp. 368–377, 2023. 
 [23]  D.K.  Matrassulova, Y.S.  Vitulyova,  S.V.  Konshin,  and  I.E.  Suleimenov, 
“Algebraic fields and rings as a digital signal processing tool,” Indones. J. Electr. Eng. 
Comput. Sci., vol. 29, no. 1, pp. 206–216, 2023. 
[24]  S. Kabdushev, D. Shaltykova, Y. Vitulyova, A. Bakirov, and I. Suleimenov, 
“Neural  network  technology  for  choosing  a  learning  path,”  in  Proc.  15th  Int.  Conf. 
Comput. Autom. Eng. (ICCAE), 2023, pp. 13–16. 
[25]  Y.S. Vitulyova, K.N. Kadyrzhan, S.B. Kabdushev, A.V. Grishina, and I.E. 
Sileimenov,  “Aromatherapeutic  correction  of  psychoemotional  state  as  a  means  of 
promoting an ecological worldview,” in Lect. Notes Netw. Syst., vol. 574, pp. 1145–
1152, 2023. 
[26]  A.T.  Saidakhmet,  Y.S.  Vitulyova, A.S.  Bakirov, A.V.  Grishina,  and  I.E. 
Sileimenov,  “Principles  and  technical  means  of  implementing  the  methods  of  group 
correction of the psychoemotional state in the online format,” in Lect. Notes Netw. Syst., 
vol. 574, pp. 1126–1136, 2023. 
[27]  Moldakhan,  A.S.  Bakirov,  Y.S.  Vitulyova,  A.V.  Grishina,  and  I.E. 
Sileimenov, “Gamification of environmental monitoring: Technical and informational 
means of supporting the formation of civil society institutions,” in Lect. Notes Netw. 
Syst., vol. 574, pp. 1116–1125, 2023. 
[28]  I.E. Suleimenov, Y.S. Vitulyova, D.B. Shaltykova, D.K. Matrassulova, and 
A.S. Bakirov, “Pattern recognition methods as a base of development of new instruments 
for investigations in physical chemistry,” in ACM Int. Conf. Proc. Ser., 2022, pp. 127–
132. 
[29]  I.E. Suleimenov, A.S. Bakirov, and Y.S. Vitulyova, “Prospects for the use 
of algebraic rings to describe the operation of convolutional neural networks,” in ACM 
Int. Conf. Proc. Ser., 2022, pp. 1–7. 
[30]  I.E. Suleimenov, D.K. Matrassulova, I. Moldakhan, S.B. Kabdushev, and 
A.S.  Bakirov,  “Distributed  memory  of  neural  networks  and  the  problem  of  the 
intelligence’s essence,” Bull. Electr. Eng. Inform., vol. 11, no. 1, pp. 510–520, 2022. 
[31]  O. Gabrielyan, E. Vitulyova, and I. Suleimenov, “Multi-valued logics as an 
advanced  basis  for  artificial  intelligence  (as  an  example  of  applied  philosophy),” 
Wisdom, vol. 21, no. 1, pp. 169–181, 2022. 
[32]  E.S. Vitulyova, D.K. Matrassulova, and I.E. Suleimenov, “Construction of 
generalized Rademacher functions in terms of ternary logic: Solving the problem of 
visibility  of  using  Galois  fields  for  digital  signal  processing,”  Int.  J.  Electron. 
Telecommun., vol. 68, no. 2, pp. 237–244, 2022. 
[33]  Suleimenov,  Y.  Vitulyova,  and  A.  Bakirov,  “Hybrid  number  systems: 
Application for calculations in Galois fields,” in Proc. 3rd Asia Conf. Comput. Commun. 
(ACCC), 2022, pp. 126–130. 
[34]  Y.S. Vitulyova, A.S. Bakirov, and I.E. Suleimenov, “Galois fields for digital 
image and signal processing: Evidence for the importance of field specificity,” in Proc. 
5th Int. Conf. Pattern Recognit. Artif. Intell. (PRAI), 2022, pp. 637–642.  
[35]  S.  Kabdushev,  K.  Kadyrzhan,  Y.  Vitulyova,  V.  Yevstifeyev,  and  I. 
Suleimenov,  “Means  of  aromatherapy  of  mass  use  as  a  tool  for  correcting  the 
psychophysiological state of society,” in Proc. 2nd Int. Conf. Robot. Autom. Artif. Intell. 
(RAAI), 2022, pp. 152–156. 
[36]  S. Kabdushev, K. Kadyrzhan, Y. Vitulyova, E. Kopishev, and I. Suleimenov, 
“Floating focusing system based on polymer films: A new example of a smart energy 
system,” in Proc. 2nd Int. Conf. Robot. Autom. Artif. Intell. (RAAI), 2022, pp. 182–187. 
[37]  A.S. Bakirov, Y.S. Vitulyova, A.A. Zotkin, and I.E. Suleimenov, “Internet 
user’s behavior from the standpoint of the neural network theory of society: Prerequisites 
for the meta-education concept formation,” ISPRS Arch., vol. 46, no. 4/W5-2021, pp. 
83–90, 2021. 
[38]  E.S. Vitulyova, D.K. Matrassulova, and I.E. Suleimenov, “New application 
of non-binary Galois fields Fourier transform: Digital analog of convolution theorem,” 
Indones. J. Electr. Eng. Comput. Sci., vol. 23, no. 3, pp. 1718–1726, 2021. 
[39]  A.B. Seidaliyeva, G.B. Niyazova, E.E. Kopishev, A.S. Bakirov, and I.E. 
Suleimenov,  “Small  green  energy:  Implementation  through  gamification  of  the 
educational process,” in Proc. World Congr. New Technol., 2021. 
[40]  Y.S.  Vitulyova, A.S.  Bakirov,  S.T.  Baipakbayeva,  and  I.E.  Suleimenov, 
“Interpretation of the category of complex in terms of dialectical positivism,” IOP Conf. 
Ser. Mater. Sci. Eng., vol. 946, no. 1, Art. no. 012004, 2020. 
[41]  Y.S.  Vitulyova,  A.S.  Bakirov,  D.B.  Shaltykova,  and  I.E.  Suleimenov, 
“Prerequisites for the analysis of the neural networks functioning in terms of projective 
geometry,” IOP Conf. Ser. Mater. Sci. Eng., vol. 946, no. 1, Art. no. 012001, 2020. 
[42]  I.E.  Suleimenov,  Y.S.  Vitulyova,  A.S.  Bakirov,  and  O.A.  Gabrielyan, 
“Artificial intelligence: What is it?,” in ACM Int. Conf. Proc. Ser., 2020, pp. 22–25. 
[43]  I.E.  Suleimenov,  O.A.  Gabrielyan,  A.S.  Bakirov,  and  Y.S.  Vitulyova, 
“Dialectical  understanding of  information  in  the  context  of the  artificial  intelligence 
problems,” IOP Conf. Ser. Mater. Sci. Eng., vol. 630, no. 1, Art. no. 012007, 2019. 
[44]  M.N. Kalimoldayev, E.I. Suleimenov, I.T. Pak, V.N. Yevstifeyev, and G.A. 
Mun, “To the question of physical implementation of optical neural networks,” News 
Natl. Acad. Sci. Repub. Kazakhstan, Ser. Geol. Tech. Sci., vol. 2, no. 434, pp. 217–224, 
2019. 

Disciplines taught


Digital communication technologies in the economy

The course is aimed at developing students' theoretical knowledge about digital communication in the economy and the practical application of platforms for their use in government and commercial organizations. As a result of studying the discipline, students will master the skills of using modern information and communication technologies that form the basis of digital economics, gain knowledge and practical experience in the field of managerial decision-making in digital transformation

Wireless networks and communication systems

The purpose of the discipline is to form students' basic knowledge about the elements of cellular communication networks, functional circuits of cellular communication systems, personal radio call networks, standardization in the field of telecommunications. The discipline forms students' understanding of modern wireless technology, which serve to transmit information between two or more points at a distance, without requiring a wired connection. Radio waves, as well as infrared, optical or laser radiation can be used to transmit information.

Systems of emitting and signal reception in infotelecommunication networks

The purpose of the discipline is to study the transmission of electromagnetic waves for solving problems of radio engineering, electronics and telecommunications; types of antennas when used in radio relay systems, space communications and other radio communication systems over a given frequency range and terrain, taking into account the propagation of radio waves on the radio path. As a result of the training, the student will be able to perform calculations and carry out measurements of the main characteristics of the antennas, adjust and adjust the antenna-feeder path during the operation of the system.

Information Technologies in Intelligent Network Management

The course explores digital technologies and software platforms for monitoring, analyzing, and managing intelligent telecommunication networks. It includes the application of artificial intelligence, IoT, Big Data, and cloud-based solutions. Emphasis is placed on enhancing the efficiency, adaptability, and resilience of network infrastructure in the context of digital transformation and increasing data transmission demands.

IoT and Sensor Networks in Telecommunication Systems

The course focuses on the architecture, protocols, and technologies of the Internet of Things (IoT) and sensor networks. It covers wireless communication standards such as LoRa, ZigBee, and NB-IoT, data collection and processing, integration with telecom systems, and device security. Emphasis is placed on IoT applications in smart communication systems and real-time monitoring infrastructure.

Digital architectures and signal processing algorithms

The course covers modern digital architectures, including DSP and FPGA, used in communication systems and radio engineering. Signal processing algorithms are studied: filtering, transformations (Fourier, wavelet), modulation, demodulation and optimization of computing processes. Particular attention is paid to the implementation of algorithms in hardware and software environments to improve the efficiency of systems.

Timetable of classes

Opening lessons