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Inessa A. Gracheva
Ph.D. Tula State University |
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Citizenship: The Russian
Federation |
Scientific
Interests:
Academic
History:
2019
Ph.D. Degree in Engineering and Technologies,
Tula State University,
Institute of Applied Mathematics and Computer Science
Ph.D. Thesis:
Image
processing algorithms on the basis of the probabilistic gamma-normal model
2015
M.S.
Degree in Engineering and Technologies,
Tula State University,
Institute of Applied Mathematics and Computer Science
M.S. Thesis:
Fast global image denoising algorithm on the basis of
nonstationary gamma-normal statistical model
2013
Engineer
Degree in Information Technologies,
Tula State University,
Institute of Applied Mathematics and Computer Science
Thesis:
Adaptive Parametrical Algorithm of Image Processing
Scientific History:
Researcher
Tula State University,
Research Department
2016 - Present
Assistant
Professor, Associate Professor
Laboratory of Data
Analysis (http://lda.tsu.tula.ru/)
Tula State University,
Institute of Applied Mathematics and Computer Science
2015 - 2019
Ph.D.
Student,
Tula
State University,
Institute of Applied Mathematics and Computer Science
2013 - 2015
M.S.
Student
Tula State University,
Department of Cybernetics (from 2014 Institute of Applied Mathematics and
Computer Science)
2009 - 2013
Student
Tula State University,
Department of Cybernetics
Awards:
2021
(February)
Certificate
of the Ministry of Industry and Science of Tula Region
2019
(December)
The
Best Young Researcher and Teacher of Tula Region Government
2018
(May)
The
programming competition "BizHack"
Award for best work "Smart stadium"
2017 –
2018
The
Best Young Lecturer of Tula State University
2017
(September)
The
competition of scientific works within the Russian student forum "Science
of Future is Science of young people"
Award for best science work "Hand detection algorithm in real-time"
2016
(December)
The
Best Young Scientist of Tula State University
2016
(May)
The competition
of M.S. Degree thesis within Southwest State University
Award for best science work "Fast image denoising
algorithm on the basis of the nonstationary
gamma-normal model"
2016
(April)
5th
International conference on Analysis of Images, Social Networks and Texts
Award for the best paper "Image processing algorithms on the basis of the
gamma-normal model"
2015
(September)
The
competition of scientific works within the Russian student forum "Science
of Future is Science of young people"
Award for best science work "Fast image processing algorithms is basis of
the statistical model"
2015
(May)
Regional
conference of Masters
Award for the best paper "Fast algorithm of HDR compression"
2015(April)
The
competition of scientific works within Russian Economic University
Award for best science work "Adaptive Parametrical Algorithm of Image
Processing"
Participation in Scientific Grants:
2020 - Present
Grants
of the Russian Foundation for
Basic Research:
“Methods
and high-speed algorithms for improving images quality obtained in real weather
conditions at different day-times, in presence of fog, fine particles and
localized light sources” (Tula State University, Principal Investigator Prof.
A. Kopylov)
2020
Grant
of the Tula State University:
“Medical Image Enhancement Algorithm Based on
the Probabilistic Gamma-Normal Model” (Tula State University, Principal
Investigator I. Gracheva)
2016-2018
Grant
of the Russian Foundation for
Basic Research:
“Development of methods and algorithms for
processing images and other types of ordered data on the basis of Trained
Markov Models” (Tula State University, Principal Investigator Prof. A. Kopylov)
2016-2017
Grant
of the Foundation for Assistance to Small
Innovative Enterprises:
“Image Denoising
Algorithms on the Basis of the Probabilistic Gamma-Normal Model” (Tula State
University, Principal Investigator I. Gracheva)
2012-2015
Grant
of the Russian Foundation for
Basic Research:
“Methods and algorithms development for
estimating Markov models parameters in ordered data arrays processing problems”
(Tula State University, Principal Investigator Prof. A. Kopylov)
Actual Participation in Scientific Conferences:
International
Workshop Photogrammetric and Computer Vision Techniques for Video Surveillance,
Biometrics and Biomedicine (online, 2021)
13-th
International Conference on Intelligent Data Processing (online, 2020)
1st
International workshop on Recent Advances in Machine Learning, Data Science,
Intelligent Systems & Networking (online, 2020)
25th
Azerbaijan International Telecommunications, Innovations and High Technologies
Exhibition (Baku, Azerbaijan, 2019)
International
Workshop Photogrammetric and Computer Vision Techniques for Video Surveillance,
Biometrics and Biomedicine (Moscow, Russia, 2019)
Youth
Global Forum “Worldwide Impact Investing: the Role of Entrepreneurs” (Paris,
France, 2018)
12-th
International Conference on Intelligent Data Processing (Gaeta, Italy, 2018)
International
Youth Summer School “The Smart Revolution: The Interconnection between City and
Society” (Shanghai, China, 2018)
18-th
Conference on Mathematical Methods in Pattern Recognition (Taganrog, Russia,
2017)
3-th
Russian student forum "Science of Future is Science of young people"
(Nizhny Novgorod, Russia, 2017)
11-th
International Conference on Intelligent Data Processing (Barcelona, Spain,
2016)
International
Computer Vision Summer School (Sicily, Italy, 2016)
5-th
International Conference on Analysis of Images, Social Networks, and Texts
(Yekaterinburg, Russia, 2016)
1-th
Russian student forum "Science of Future is Science of young people"
(Sevastopol, Russia, 2015)
17-th
Conference on Mathematical Methods in Pattern Recognition (Svetlogorsk,
Russia, 2015)
4-th
International Conference on Analysis of Images, Social Networks, and Texts
(Yekaterinburg, Russia, 2015)
10-th
International Conference on Intelligent Data Processing (Crete, Greece, 2014)
16-th
Conference on Mathematical Methods in Pattern Recognition (Kazan, Russia, 2013)
Publications in Russian:
About 10 publications
Recent Publications in English:
Profile
at ResearchGate Science Index
Profile
at Scopus Author
Gracheva, I.A., Kopylov, A.V. Medical images fusion algorithm based on probabilistic
gamma-normal model with structure-transferring properties. International
Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- ISPRS Archives, 2021, 54(2/W1), pp. 79–83
Filin, A.I., Gracheva, I.A., Kopylov, A.V.
Haze removal method based on joint transmission map estimation and
atmospheric-light extraction. ACM International Conference Proceeding Series,
2020, 3442663
Gracheva I., Kopylov A.: Tone Compression Algorithm for High Dynamic
Range Medical Images. Proceedings of International Workshop Photogrammetric and
Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine
Moscow, Russia, 2019, 42(2/W12), pp. 87–95
Kopylov, A., Seredin, O., Kushnir, O., Gracheva, I., Larin, A. Background-invariant
robust hand detection based on probabilistic one-class color segmentation and
skeleton matching. ICPRAM 2018 - Proceedings of the 7th International
Conference on Pattern Recognition Applications and Methods, 2018, 2018-January,
pp. 503–510
Gracheva, I., Kopylov, A. Image processing algorithms with structure
transferring properties on the basis of gamma-normal model. Communications in
Computer and Information Science, 2017, 661, pp. 257–268
Gracheva, I., Kopylov, A., Krasotkina, O. Fast
global image denoising algorithm on the basis of nonstationary gamma-normal statistical model.
Communications in Computer and Information Science, 2015, 542, pp. 71–82