Employees

Yevhenii O. Ivanov

Yevhenii O. Ivanov

Associate Professor,
PhD in Computer Science,
Associate Professor


Education and Career:

1976 — graduated from Taras Shevchenko National University of Kyiv, Faculty of Cybernetics.
1980 — graduated from PhD Studies, Taras G. Shevchenko State University of Kyiv.
1986 — defended Сandidate thesis «Complexity of parallel algorithms of recognition of properties of graphs». Academic supervisors — Doctor of Physical and Mathematical Science, Professor, Academician of AS of Ukrainian SSR and AS of USSR Viktor M. Glushkov, PhD in Computer Science Volodymyr P. Shevchenko.
1987-1988 — Secretary of Academic Council, Faculty of Cybernetics, Taras Shevchenko National University of Kyiv.
1980-1989 — Assistant Professor, Department of Theoretical Cybernetics, Faculty of Cybernetics, Taras G. Shevchenko State University of Kyiv.
1989-1990 — Associate Professor, Department of Theoretical Cybernetics, Faculty of Cybernetics, Taras Shevchenko National University of Kyiv.
1990-2016 — Associate Professor, Department of Information Systems, Faculty of Cybernetics, Taras Shevchenko National University of Kyiv.
1999-2004 — Professor, International Academy of Personnel Management.
1996-1997 — Secretary of Scientific Council D 01.01.23, Faculty of Cybernetics, Taras Shevchenko National University of Kyiv.
2016-2019 — Associate Professor, Department of Information Systems, Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv.
Since 2019 — Associate Professor, Department of Intelligent Software Systems, Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv.
Currently is:
  • a member of educational and methodical commission of Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv,
  • scientific secretary of Department of Intelligent Software Systems, Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv.

Research Interests:

  • Information systems.
  • Data bases.
  • Computational complexity.
  • Parallel computing.
  • Graph theory.

Teaching:

  1. Foundations of Programming (lectures, labs) — 1st year bachelors, 121 Software Engineering.
  2. Programming (lectures, labs) — 1st year bachelors, 121 Software Engineering.
  3. Discrete Math (practical lessons) — 1st year bachelors, 121 Software Engineering.
  4. Information Systems (lectures) — 3rd year bachelors, 121 Software Engineering.
  5. Group Project in Programming Technology (labs) — 4th year bachelors, 121 Software Engineering.