Vitaliy A. Yatsenko
Director of Scientific and Researchers on
Molecular Cybernetic and Informatics
Kiev, Ukraine

 
Email:  fond@pirogov.kiev.ua
yatsenko@ise.ufl.edu
 
 

My CV

Dr. Yatsenko is a world leading expert in system-theoretical analysis of open physical systems and geometric control systems. His scientific interests include optimization, bilinear control systems, intelligent sensors, and biomedical application. He is the author of about 160 scientific publications.
Dr. Yatsenko obtained his PhD degree in Mathematical Theory Systems from Glushkov Institute of Cybernetic in Kiev, Ukraine. He has been holding visiting appointments at Industrial and Systems Engineering Department at the University of Florida.
 

PROJECTS:

U039K

EDUCATION:

1976 - Master of Sciences Degree in  Radio Engineering, Institute of  Civil Aviation;

1982 - Philosophy Doctor Degree in Mathematical Theory systems, Dissertation: "Dynamically Equivalent Systems in a Research of Controlled Systems", supervisor -  A. Kuchtenko, Glushkov Institute of Cybernetics;

1996 - Doctor's Degree in  System Analysis and  Theory  Optimal Solution, Dissertation "Identification and Control of the Bilinear Dynamic Systems", supervisor - Yu. Samoilenko, Glushkov  Institute of Cybernetics.

PROFESSIONAL ACTIVITIES

Director of Scientific and Researchers on Molecular Cybernetic and Informatics (Public Organization)

EMPLOYMENT HISTORY:

               1996-1998 - Senior Researcher;
               1998 to present - Leading Researcher.                1974-1978 - Engineer;
               1979-1984 - Junior Researcher;
               1984-1996 - Senior Researcher.
 

CURRENT RESEARCH SUPPORT

1. NATO (Scientific and Environmental Affairs Division), SST.GLS.975032: Calculating Robust Bayesian Estimates Using Optimization Approaches".
 

SIGNIFICANT PUBLICATIONS:
 

  1. Cherevko V.  L.,  Yatsenko V.  A.  Control  Sistems  and Modeling  of  Signals  for  Back-Scattering  from Sea Surface.Cybernetics and Computing Technology. Ergatic Control Systems,1992,vol.96,P.107-113.
  2. V.A. Yatsenko, P.S. Knopov. Parameter estimation of almost periodic signal via controllable bilinear observations, Automatica & Telemechanika, 3.-1992.P.65-70.
  3. Gusha A.O., Palagyn A.V., Privalko A.V., Charkianen V.N., Yatsenko V.A. Methods of integral estimation  and  control  of state of ecological systems based on  biosensors, Automatica, 1993, N2.
  4. Yatsenko  V.A.,Rakitina  N.A.  The  decomposition of the controlled dynamical model of information transform system with local and global symmetry. Automatica, 1993,N5.
  5. Yatsenko V. Identification  of the  non-Gaussian  chaotic dynamics  of the radioemmision   back scattering  processes Proc. of 10th  IFAC Symposium on  System Identification SYSID'94, Kobenhavn,  4-6 July 1994.-Kobenhavn: Danish Automation Society, 1994.-V1.- P. 313-317.
  6. Yatsenko V.A.,  Gushcha A.A.   et  al. Intelligent systems of intigrel estimation  and control  of ecological object state based on photosynthesizing biodetectors, European Conference on Analytical  Chemistry, Edinburgh, 5-11 Sept. 1993.-Edinburgh: Edinburgh University, 1993.-PI12.
  7. Yatsenko V.A. Intelligent system of intigral estimation  of water quality,   Sensors and   Actuators:   B. Chemical.-1995.-29.-N.1-3.-P. 332-338.
  8. Yatsenko  V.A. Determinig  the characteristics  of  water pollutants by neural sensors and pattern  recognition  methods, Journal of Chromatography, A.-1996.-722, N1+2.-P. 233-243.
  9. Yatsenko V.A.  Identification  of the  non-Gaussian  dynamics of  the radioemmision   back scattering  processes and quantum estimation,  Differential Equation: Bifurcations and Chaos, Katsiveli, 3-14  May 1994: Abstracts.-Kiev: Inst. of Mathematics, 1994.-P. 110.
  10. Yatsenko, V.A. Determination of pollutions by chromatographic techniques and biosensors in water samples, Proc. International Symposium on Chromatography.- 1995.- Yokohama, Japan.
  11. Yatsenko V.A. Neurosensors for operation in water and in the atmosphere, Proc. European Symposium "Optics for Environmental and Public Safety", 19-23 June, 1995, Munich Fairgrounds, Munich, FR Germany.Proc.Vol. 2505.-report 2505-22.-8 p.
  12. Yatsenko V.A. Characterization of industrial waters using intelligent detectors, in: Proc. European Symposium "Optics for Environmental and Public Safety", 19-23 June, 1995, Munich Fairgrounds, Munich, FR Germany.-Proc.2508.-Report 2508-13.-8p.
  13. Yatsenko, V. (1993), Research of  chaotic dynamics and adaptive control of heart attractor parameters. Tools of deriving and  data processing of a digital information, in: Proc. of Glushkov Cybernetics Institute}, Ukraine, 68-72.
  14. Yatsenko,  V. Hamiltonian  model  of  a  transputer  type quantum automaton,  Quantum Communications and Measurement.-New York: Plenum Publishing Corporation, 1995.-P. 361-366.
  15. Yatsenko, V. (1997), Selective control at a microlevel of pathological processes on the base of models of chaotic dynamics and complex nonlinear resonances, in: 13-th international congress "Biosignal 96", 25-27 June 1996, Brno},  Technical university Brno.-1997.
  16. Andrushenko A.P., Samoilenko Yu. I., Yatsenko V.A. (1997), The presence of both stochastic and deterministic dynamics in electroretinograms measured under identical experimental conditions, in: Boilogocal Cybernetics, 661-665.
  17. Yatsenko V.A. Ischenko A.V.  Dual measurement of atmospheric turbulence on basis of adaptive control of astronomical telescope, 8th Scientific Assembly of IAGA with ICMA and STP Symposia, Uppsala, 4-15 Aug. 1997.-Uppsala: Uppsala University, 1997.-P.160-161.
  18. Yatsenko V.A. Sensitive elements of space cryogenic gravitation sensors, European Symposium on  Remote Sensing. 21-24 Sept. 1998, Barcelona, Spain, Order Proceedings of SPIE, Vol. 3498.
  19. Yatsenko, V and Yurachkovsky, Yu. et al. (2000) Mathematical methods of diagnostics and  forecasting  of  effectiveness of treatment papilomaviral  infection, in: Medical science}, N4, 65-71.
  20. Yatsenko V. (2000), Methods  of risk analysis for energy objects, in: Proceedings of International Energy  Conference, July 23-28, 2000, Las Vegas, Nevada, USA.
  21. Pardalos, P., Knopov, P., Urysev, S. and Yatsenko, V. (2001), Optimal estimation of signal parameters using bilinear observation, in:   Optimization and related topics, Rubinov A, and Gloveredited B. (eds.),  Kluwer  Academic  Publishers, Dordrecht-Boston--London, 103-117.


COLLABORATORS DURING THE PAST 48 MONTHS:

P. Pardalos, University of Florida, USA;
J. Chris Sackellares, Departments of neurology and Neuroscience, University of Florida;
Leon D. Iasemidis, Department of Bioengeneering, ASU, USA.