E U R O P E A NC U R R I C U L U M V I T A E

F O R M A T

PERSONAL INFORMATION

Name Olena V. PORKHUN

Address11/8, Bubnova A. street, app. 109,

03040, Kyiv, Ukraine

Psg. Busa № 2 1-125282 Sant Llorenç de Morunys, Lleida

Telephone Ukraine – +38 095 9101241, +38 044 2590427, Catalonia – 973492459Fax

E-mail elena_porkhun@mail.ru, ellen2003@ukr.net

Nationality Ukrainian

Date of birth 06, November, 1979

WORK EXPERIENCE

• Dates (from – to) (2003-2008)• Name and address of employer International Research and Training Centre for Information Technologies and Systems

(IRTC), 40, Ave Glushkov, 03680 Kyiv• Occupation or position held Junior research scientist

• Main activities and responsibilities Researching, Publishing• Dates (from – to) (2008 – present)

• Name and address of employer Taras Shevchenko National University of Kyiv, 64 Volodymyrska str., 01033 Kyiv, Ukraine

• Type of business or sector Faculty of Cybernetics (Computer Science). Department of Mathematical Informatics.

• Occupation or position held Assistant Professor. Doctor of Science (2009 – present) (Ph.D. Dissertation in Mathematics – 2009)

• Main activities and responsibilities Training, Researching, Publishing

EDUCATION AND TRAINING

• Dates (from – to) (1997-2003)• Name and type of organization providing education and training

Taras Shevchenko National University of Kyiv

• Principal subjects/occupational skills covered

Faculty of Cybernetics (Computer Science).

• Title of qualification awarded Master's degree diploma with honours of Taras Shevchenko National University of Kyiv for graduation work on Applied Mathematics. 2003

• Level in national classification (if appropriate)

Highest (Fourth) Level in national classification.

• Dates (from – to) (2003-2006)• Name and type of organization providing education and training

Taras Shevchenko National University of Kyiv

• Principal subjects/occupational skills covered

Post-graduate study. Specialty: The Theoretical Cybernetics

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• Title of qualification awarded Ph. Doctor. Dissertation in Mathematics• Level in national classification

(if providing education and training appropriate)

Highest (Fourth) Level in national classification.

• Dates (from – to) (2012)• Name and type of organization providing education and training

University of Barcelona (Barcelona, Spain)

• Principal subjects/occupational skills covered

Internship at the Department of Software Engineering of the Faculty of Mathematics of the University of Barcelona in the field of classification systems development

• Dates (from – to) (2012)• Name and type of organization providing education and training

University of Nordland (Bodø, Norway)

• Principal subjects/occupational skills covered

Participation in the development of the master's program in the framework of the project “Sustainable management”, reading lectures

• Dates (from – to) (2009-2013)• Name and type of organization providing education and training

Spanish Language Courses of Kyiv (Center “Chispa”)

• Principal subjects/occupational skills covered

Degree in Spanish

• Title of qualification awarded Graduated with Honors

PERSONAL SKILLSAND COMPETENCES

Acquired in the course of life and career but not necessarily covered by formal

certificates and diplomas.

MOTHER TONGUE UKRAINIAN

OTHER LANGUAGES

ENGLISH

• Reading skills Excellent• Writing skills Good• Verbal skills Good

SPANISH

• Reading skills Excellent• Writing skills Excellent• Verbal skills Excellent

Catalan• Reading skills Learn

• Writing skills Learn• Verbal skills Learn

Ruso• Reading skills Excellent

• Writing skills Excellent• Verbal skills Excellent

SOCIAL SKILLS

AND COMPETENCESLiving and working with other people, in multicultural environments, in positions where communication is important and situations where teamwork is essential

(for example culture and sports), etc.

STRONG COMMUNICATION SKIILS, NON-STOP DEVELOPMENT, GOAL-ORIENTED WORKING, RESPONSIBLE, DILIGENT, WERE ACQUIRED IN THE COURCE OF LIFE AND CAREER

ORGANIZATIONAL SKILLS PROJECT MANAGER IN GENERAL PROJECT OF TARAS SHEVCHENKO NATIONAL UNIVERSITY OF KYIV AND SAMSUNG ELECTRONICS COMPANY (2012-2014)

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AND COMPETENCESCoordination and administration of

people, projects and budgets; at work, in voluntary work (for example culture and

sports) and at home, etc.

SUPERVISOR OF GRADUATE COURSEWORK, DIPLOMAS OF STUDENTS (2009 – PRESENT)

TECHNICAL SKILLS AND COMPETENCES

With computers, specific kinds of equipment, machinery, etc.

COMPUTER SKILLS WERE AQUIRED IN THE COURSE OF EDUCATION AND WORK EXPERIENCE

ARTISTIC SKILLS

AND COMPETENCESMusic, writing, design, etc.

DESIGN OF WEB-SITES, PRESENTATIONS, MUSIC SCHOOL ( THE PIANO)

OTHER SKILLS AND COMPETENCES

Competences not mentioned above.

RESEARCHING: Artificial Intelligence Technologies, Neural Networks, Machine learning, Data Mining, Big Data, Classification, clasterization, processing of multidimensional objects Forecasting of economics, ecological processes, Computational linguistics

MANAGER OF PROJECTS:1. Identification and Analysis of Named Entities in Texts. – General project between Samsung Electronics Company and Taras Shevchenko National University of Kyiv. 2014

2. Heterogeneous co-reference resolution and object relation tracking. – General project between Samsung Electronics Company and Taras Shevchenko National University of Kyiv. 2013

3. Secure group coalition algorithms prototyping for public distributed computational Environments. – General project between Samsung Electronics Company and Taras Shevchenko National University of Kyiv. 2013

SKILLS IN PROGRAMMING 1. Programming languages:

- Java, C++, Builder C++, Python, Lisp, Prolog.2. Languages for databases: - SQL, PL\SQL3. DBMS: Oracle, MS Access

PROVIDING OF TRAININGS:Lecturing courses: Artificial Intelligence (2009-present) Neural Networks (2010-present) Data Bases (2010-present) Intellectual Technologies (2009-2011) Foundations of Computer Science and Applied Linguistics (2008, 2014)

SUPERVISOR OF GRADUATE COURSEWORKSSupervisor of more than 40 courseworks (2009 - present).The most successfull of them which were defended:1. Research and development of effective methods of multiclassification using error-correcting output codes;2. Image segmentation using neural networks and error-correcting output codes;

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3. Image recognition of human faces using Hopfield network;4. Semantic image segmentation;5. Determination optimal energetic strategy of Ukraine using neural networks.

PUBLISHING:Guidelines: Technologies of Artificial Intelligence Models and training methods of neural networks Methods of classification and clasterization25 scientific papers, among them 15 – articles and 10 – works in International conference proceedings2 course manuals for students

ADDITIONAL INFORMATION SCHOLAR OF THE CABINET OF MINISTERS OF UKRAINE (2010-2012)

ANNEXES 25 scientific articles and reports on international conferences. The main published works:

1. Kakoichenko A. I., Porkhun O. V. Short-term financial markets forecasting with RBF network // Bulletin of Taras Shevchenko National University of Kyiv. Series Physics & Mathematics, № 4, 2014.– pp.133-140.

1. Porkhun O.V. Application of multiclass approaches for determining dermatology diseases // Artificial intelligence, №4(62), 2013. – pp.530-538.

2. Anatoly Anisimov, Oleksandr Marchenko, Andrey Nikonenko,Olena Porkhun, and Volodymyr Taranukha. Ukrainian WordNet:Creation and Filling // Lecture Notes in Computer Science Volume 8132, Springer Berlin Heidelberg 2013, pp. 649-660.

3. Porkhun O., Berezan I. Selection of optimal energetic strategy of Ukraine using neural network // PROCEEDINGS of the II International Workshop Towards the UN Conference “Rio+20”, Kyiv, 26-27 april, 2012. – pp.91-96.

4. Porkhun O.V., Berezan I.O. Using neural networks for optimal energetic strategy determination // Bulletin of Taras Shevchenko National University of Kyiv. Series Physics & Mathematics, №4, 2011. – pp. 186-193.

5. Porkhun O.V. Determining the number of clasters in task of objects clasterization using neural network of Kohonen // Proceedings of the XIII Russian National scientific-technical Workshop „Neuroinformatics-2011”, Moscow, 24 – 28 January 2011.

6. Porkhun O.V. Method of constructing vector of features distributed over heterogeneous groups for classification of multidimensional objects // Proceedings of the XII Russian National scientific-technical Workshop „Neuroinformatics-2010”. – Moscow, 26-29 January 2010. – p. 11.

7. Porkhun O.V. Algorithm of determining the optimum selection for solving tasks of multidimensional objects classification, its computational complexity // Bulletin of Taras Shevchenko National University of Kyiv. Series Physics & Mathematics, № 2, 2009.– pp. 141-144.

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