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Full name Davit Asatryan
Phone (+374 93) 691904
E-mail dasat@ipia.sci.am
Position
Leading Scientific Researcher
Research Interests

Data, Signal and Image Processing - Digital Processing, Signal and Image Analyzing, Filtering, Enhancement, Restoration, Information Protection (Digital Watermarking)

Applied Statistics - Multiple Data Statistical Analysis, Parameters Estimation, Detection of Regularities and Disorders in the Multivariate Data and Time Series

Applied Radiophysics - Antenna Near-Field and Far-Field Measurements and Metrology, Filtering, Restoration and Imaging of Antenna Characteristics, Special Signal and Data Processing

Education
Electrical Engineer   Yerevan Polytechnical Institute
Titles, Degree

Professor, Doctor of Sciences

Professional Experience
Engineer, Leading Scientist   Institute for Informatics and Automation Problems  (1961- at present)

Principal Specialist,
Professor of Chair of
Mathematical Cybernetics,
Head of Research Center
for Critical Technologies

  Russian-Armenian (Slavonic) University
Yerevan (2005- at present)
Principal Scientist,
Deputy Director on Science,
Head of Department

  Radiophysics Measurements Institute,
Yerevan (1983-2001)
Deputy Director on Science
Head of Department
  Computing Center Light Industry
Ministry of Armenia (1972-1978) 
Selected Publications

Asatryan D.G., Asatryan N.S. Combined Spatial and Frequency Watermarking. Proc. of 7th Int. Conf. on Computer Science and Information Technologies - CSIT'2009, Yerevan, pp. 323-326, 2009.

Asatryan D.G., Tairyan S.V. Robust Audio Watermarking Algorithm. Mathematical Problems of Computer Science, IIAP, 32, pp. 96-100, 2009.

Asatryan D., Egiazarian K. Quality Assessment Measure Based on Image Structural Properties. Proc. of the International Workshop on Local and Non-Local Approximation in Image Processing, Finland, Helsinki, pp. 70-73, 2009.

Khalili Mehdi, Asatryan David. Effective Digital Image Watermarking in YCbCr Color Space Accompanied by Presenting a Novel Technique Using DWT. Mathematical Problems of Computer Science, IIAP, Vol. 33, pp. 150-161, 2010.

Asatryan D.G. On some Problems on Signal and Image Processing, Analysis and Protection. Mathematical Problems of Computer Science 34, 15-17, 2010.

David Asatryan, Karen Egiazarian, Vardan Kurkchiyan. Orientation Estimation with Applications to Image Analysis and Registration. International Journal “Information Theories and Applications”, Vol. 17, Number 4, pp. 303-311, 2010.

Asatryan D.G., Asatryan N.S. “Combined Robust and High Payload Watermarking Algorithm”, Proc. of 8th Int. Conf. on Computer Science and Information Technologies - CSIT'2011, Yerevan, pp.319-322, 2011.

Khalili Mehdi, Asatryan David. Improved DWT Based Watermarking Using JPEG-YCbCr. Proc. of 8th Int. Conf. on Computer Science and Information Technologies - CSIT'2011, Yerevan, pp. 213-216, 2011.

Khalili Mehdi, Asatryan David. A Novel Threshold-based Image Watermarking Algorithm Using DWT2. Vestnik RAU (Herald of the RAU), №1, pp. 33-46, 2011.

Асатрян Д.Г., Асатрян Н.С., Ланина Н.С., Таирян С.В. Основы цифровой защиты мультимедийной информации. Учебно-методическое пособие. Изд. РАУ, Ереван, 104 с., 2011.

D.G. Asatryan, N.S. Asatryan. Watermarking Algorithm for Medical Images with Large Annotations. Proceedings of First Armenian International Congress on Telemedicine and eHealth “ARMTELEMED: Road to the Future”. Yerevan, pp. 66-73, 2011.

Asatryan D., Sazhumyan G. Segmentation Based Fingerprint Pore Extraction Algorithm. International Journal «Information models and Analysis», Vol. 1, pp. 134- 138, 2012.

David Asatryan, Vardan Kurkchiyan, Marine Bagramyan. A Method for Quality Assessment of Image Resizing Algorithms. Mathematical Problems of Computer Science, 36,  pp. 128-132, 2012.

Mehdi Khalili, David Asatryan. Colour spaces effects on improved discrete wavelet transform-based digital image watermarking using Arnold transform map. IET Signal Processing, Vol. 7, Issue 3, pp. 177-187. ISSN 1751-9675, 2013

David Asatryan, Grigor Sazhumyan, Bagrat Sakanyan. New Technique for Analysis of Fingerprint Poroscopical Map. Proc. of 9th Int. Conf. on Computer Science and Information Technologies - CSIT'2013, pp. 181-184, Yerevan, September 2013.

D. Asatryan, N. Asatryan, N. Lanina, A. Petrosyan. Method for Detection of Image Tampering and Partial Recovery. Proc. of 9th Int. Conf. on Computer Science and Information Technologies - CSIT'2013, pp. 177-180, Yerevan, September 2013.

David Asatryan, Manuk Zakaryan. Improved Algorithm for Video Shot Detection. International Journal "Information Content and Processing", Volume 1, Number 1, pp. 66-72, 2014.

David Asatryan, Manuk Zakaryan. Method for Video Shot Detection and Separation. International Journal "Information Models and Analysis" Volume 3, Number 3, p. 247-251, 2014.

David Asatryan, Grigor Sazhumyan, Bagrat Sakanyan. Novel Method for Analysis of Fingerprint Poroscopical Maps. International Journal "Information Content and Processing", Volume 1, Number 3, p. 280-286. 2014.

Д.Г. Асатрян, В.В. Куркчиян, Л.Р. Харатян. Метод классификации текстур с использованием структурных характеристик изображения”. Компьютерная оптика, N3, с. 574-579, 2014.

David Asatryan, Manuk Zakaryan. Novel Approach To Content-based Video Indexing and Retrieval by Using a Measure of Structural Similaarity of Frames. International Journal "Information Content and Processing", Volume 2, Number 1, 2015, p. 71-81.

Д.Г. Асатрян, С.М. Овсепян. Методика обнаружения огня путем пространственного анализа изображения контролируемой местности. Вестник РАУ, №1, с. 27-35, 2015.

David Asatryan, Samvel Hovsepyan. Vision Based Technique for Smoke and Fire Detection in Monitored Forest Terrain. In Proceedings of CSIT_2015, Yerevan, p. 129-132, 2015.

David Asatryan, Samvel Hovsepyan. Method for fire and smoke detection in monitored forest areas.  10.1109/CSITechnol.2015.7358254. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7321956#

Д.Г. Асатрян, Г.O.  Акопян. Методика морфологического анализа изображения и оценивания качества дорожного покрытия. Вестник РАУ, №1, с. 36-44, 2015.

David G. Asatryan. Structure-Based Technique for Object Detecting in UAV Imagery. Mathematical Problems of Computer Science 44, 51-58, 2015.

Д.Г. Асатрян. Оценивание степени размытия цифрового изображения по параметру формы распределения Вейбулла. Труды IX-й  Международной школы-семинара "Многомерный статистическоий анализ и эконометрика, Цахкадзор, с. 64-66, 2016.

Д.Г. Асатрян, Г.С. Сажумян. Программный инструмент для виртуального восстановления повреждённых изображений культурного наследия. Abstracts of Papers of 9-th International Conference. Shirak Historical and Cultural Heritage: Modern Issues of Armenology. Gyumry, 24-25 September, pp. 151-155, 2016.

Asatryan D.G., Hakobyan G.H.  Method for analysis and classification of pavement based on quality // Transactions of  IIAP  of the NAS RA, Mathematical Problems of Computer Science. - 2016. - Vol. 45. - P. 53-58.

Davit Asatryan, Samvel Hovsepyan, Vardan Kurkchiyan. Road Tracking from UAV Imagery Using Gradient Information. International Journal "Information Technologies & Knowledge" Volume 10, Number 2, p. 191-199, 2016.

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News
The Jubilee Event dedicated to the 60th anniversary of the Institute for Informatics and Automation Problems of the National Academy of Sciences will take place on November 30, 2017, at 15:00 in the big hall of the institute.

The EU is pleased to support since 2015 the Eastern Partnership Connect project and its efforts to provide not only physical networks to interconnect Eastern Partnership (EaP) and other countries with high-speed broadband connections, but also its efforts to build online services for research and education, to extend its reach beyond supporting big science and research and to offer support also to the arts and humanities. Projects like this are of strategic importance to help bring EaP and European neighbours closer together
said the European Commission Directorate-General for Neighbourhood Policy and Enlargement Negotiations’ Neighbourhood East Director Lawrence Meredith.


Cross-border ministerial concert showcases unique technology for music teaching and performance

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