Arman Kussainov

@farabi.university

Senior Lecturer, al-Farabi Kazakh National University
al-Farabi Kazakh National University

Arman Kussainov


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https://researchid.co/arman_kussainov

RESEARCH, TEACHING, or OTHER INTERESTS

Public Health, Environmental and Occupational Health, Signal Processing, Nuclear and High Energy Physics
10

Scopus Publications

18

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Android application for parsing X-ray absorption coefficients web database
    Arman Kussainov, Yelena White, Sandygash Kemelzhanova
    International Journal of Mathematics and Physics, 2023
    We focus on developing a standalone android application module to parse web databases and text files. The application is capable of retrieving and visualizing the data from NIST and similar web databases as well as from the text files stored locally on a phone storage device. The data is represented by the X-ray mass attenuation and absorption coefficients for all elements from the periodic table and other complex compounds acquired for the range of X-ray photons energies. Upon retrieving, parsing, and conversion the data is fully ready for visualization or, as originally designed, to be supplied for further simulation of the computed tomography experiment in multiple formats. The application is useful as a simple, open-source Java code, collection of methods to organize the access and parsing of the locally and remotely stored data in the text formats in the nuclear physic numerical experiment. In the application, a separate thread was dedicated to data retrieval and analysis. This thread is hosted by a fragment to provide the survival of calculations during the application’s configuration changes. It also facilitates unrestricted internet access otherwise prohibited on the main UI thread. The results of parsing and calculations in the concurrent thread were linked to the main thread with the ProgressUpdate callback function.
  • Implementing the basic CT backprojecting algorithm in android mobile application
    Arman S Kussainov, Maxim Em, Yernar Myrzabek, Maksat Mukhatay
    Journal of Physics Conference Series, 2021
    We have implemented the basic steps for the FDK backprojecting algorithm in computed tomography. Application works from the set of preloaded projections and uses OpenCV libraries for FFT, convolution, frequency space image filtering, image’s brightness, contrast and quality manipulation. Compared to the desktop implementation, the calculation-intensive part of the application was moved to the asynchronous background task hosted by an android fragment. This allows the task to survive the application’s configuration changes and to run in the background even if the main activity was destroyed. The minimalistic interface with the access to all main backprojecting parameters was implemented. The result of backprojection is saved as an image in the download folder of the phone. The user also has the control over the reconstructed slice location along the Z axis.
  • Transition to mammography in the regular computed tomography simulation and re construction software
    A.S. Kussainov, Y.V. White, M.A. Em, E.T. Myrzabe, E.T. Salavatova, S.T. Zhaldybayev
    International Journal of Mathematics and Physics, 2021
    This paper presents a modification of the previously developed and maintained computed tomography simulation and reconstruction software for the mammography case. New additional modules are designed to process the mammography data. Mammography provides incomplete information about the subject taken from the limited number points of view but as a result has potentially minimized exposure to radiation for the biological tissue under study. We implement this method by providing new standalone independent mammography modules in our software package. These modules are responsible for creating the projections’ set according to the operator’s input of exposure angles, phantom’s structure, and other multiple recording parameters. These additional modules reconstruct the data from these generated sets of projections or take the real medical data as input. Contrast and features’ recognition are particularly important elements of the study due to the limited number of projections in set. Our software could be used in combination with any real commercial mammography scanner as well as for research purposes to train medical and physics personnel and study for novel methods of contrast and image enhancement.
  • Remastering the imperfect home-made CT projections data for further reconstruction
    Arman S Kussainov, Nurzhan O Saduev
    Journal of Physics Conference Series, 2021
    We developed and implemented a few strategies to recover the faulty, randomly shifted, off-axis rotation sequence of projections images for the home-made computed tomography. Features detection, homography and other image transformation and processing tools from the open-source free and non-free OpenCV libraries in C++ were used. The developed methods, routines and implemented strategies could be collected into the standalone library for any home-made CT software packages.
  • Simple, contrast based, compartmentalization in 3D reconstruction from CT images
    A. S. Kussainov, N. O. Saduev, M. A. Em, M. A. Mukhatay, Y. T. Myrzabek
    Physical Sciences and Technology, 2020
    We are interested in different procedures and techniques to preprocess and postprocess the data in computedtomography reconstruction methods to achieve the better contrast, resolution or other types of the functionalanalysis of the data. We report the straightforward application of the imaging artifacts treating technique,that is the elimination of the overexposure artifact due to the presence of the metal object, for producingthe elementary image compartmentalization results with the artificial bone sample CT data. Thus, the highabsorption artifacts removal technique is given the complimentary function of the structural analysis andrevealing the metal pins scaffolding skeleton. The basic multilevel thresholding is used to reveal thetargeted structures. The results could be extremely useful for the noisy, unfiltered X-ray source, single rundata sets. The data have been supplied by the homemade CT scanner assembly and processed with thecustom reconstruction software developed specifically for this setup. OpenCV package tools for the C/C++libraries compiled with the MS Visual Studio IDE compiler were extensively used.
  • Homemade computed tomography setup with FDK reconstruction software
    A S Kussainov, N O Saduev
    Journal of Physics Conference Series, 2019
    X-ray source, detector and rotation stage as the sample holder were used to built the hardware part of the homemade CBCT scanner. The full scale numerical simulation of the CBCT experiment was modified to complete the scanner. This C/C++ software package is capable to process an arbitrary CT experimental or synthesized data for 3D reconstruction using the FDK method. The high degree of the package’s flexibility allows different CBCT recording and reconstruction geometries with different source and detector positions and their spatial trajectory. The classical computed tomography arrangement, when the gantry, rotating around the sample, is loaded with the opposed sources and detectors, was replaced by the rotating sample and fixed source and detector. Mismatches between these two schemes in reconstruction procedure such as misplacement of the rotation axis from the expected location and other misalignments are compensated by introducing the corresponding variables in the reconstruction software.
  • Stability and performance of FDK algorithm for CBCT in multithreaded implementation
    A S Kussainov
    Journal of Physics Conference Series, 2018
    We have written, optimized and tested a C/C++ project designed to simulate a CBCT experiment with an arbitrary shaped and structured three dimensional radiological phantom with high resolution and precision. This phantom was generated and later used to simulate the recording of the multiple cone beam projections under successive rotations of the coupled source and detector around it. This radiological phantom can be used to generate projections in the various testing chambers conditions and configurations including the mammography case. The synthesized projections were used to reconstruct the internal structure of the phantom with FDK algorithm. Our simulation code is also able to accept an arbitrary set of projections from other simulation software or from the real computer tomography setup. The simulation code includes various filtering techniques and has been hardware accelerated using the OpenMP directives.
  • The Wang Landau parallel algorithm for the simple grids. Optimizing OpenMPI parallel implementation
    A S Kussainov
    Journal of Physics Conference Series, 2017
    The Wang Landau Monte Carlo algorithm to calculate density of states for the different simple spin lattices was implemented. The energy space was split between the individual threads and balanced according to the expected runtime for the individual processes. Custom spin clustering mechanism, necessary for overcoming of the critical slowdown in the certain energy subspaces, was devised. Stable reconstruction of the density of states was of primary importance. Some data post-processing techniques were involved to produce the expected smooth density of states.
  • Neutron monitor generated data distributions in quantum variational Monte Carlo
    A S Kussainov, N Pya
    Journal of Physics Conference Series, 2016
    We have assessed the potential applications of the neutron monitor hardware as random number generator for normal and uniform distributions. The data tables from the acquisition channels with no extreme changes in the signal level were chosen as the retrospective model. The stochastic component was extracted by fitting the raw data with splines and then subtracting the fit. Scaling the extracted data to zero mean and variance of one is sufficient to obtain a stable standard normal random variate. Distributions under consideration pass all available normality tests. Inverse transform sampling is suggested to use as a source of the uniform random numbers. Variational Monte Carlo method for quantum harmonic oscillator was used to test the quality of our random numbers. If the data delivery rate is of importance and the conventional one minute resolution neutron count is insufficient, we could always settle for an efficient seed generator to feed into the faster algorithmic random number generator or create a buffer.
  • Calculating Hurst exponent and neutron monitor data in a single parallel algorithm
    A S Kussainov, S G Kussainov
    Journal of Physics Conference Series, 2015
    We implemented an algorithm for simultaneous parallel calculation of the Hurst exponent H and the fractal dimension D for the time series of interest. Parallel programming environment was provided by OpenMPI library installed on three machines networked in the virtual cluster and operated by Debian Wheeze operating system. We applied our program for a comparative analysis of week and a half long, one minute resolution, six channels data from neutron monitor. To ensure a faultless functioning of the written code we applied it to analysis of the random Gaussian noise signal and time series with manually introduced self-affinity features. Both of them have the well-known values of H and D. All results are in good correspondence with each other and supported by the modern theories on signal processing thus confirming the validity of the implemented algorithms. Our code could be used as a standalone tool for the different time series data analysis as well as for the further work on development and optimization of the parallel algorithms for the time series parameters calculations.

RECENT SCHOLAR PUBLICATIONS

  • ³He neutron detector with аandroid smartphone integration
    AS Kussainov, P Arnqvist, NP Arnqvist, N Saduyev, O Kalikulov, ...
    Physical Sciences and Technology 12 (3-4), 83-92 , 2025
    2025
  • Статистический анализ сейсмических данных сильных землетрясений Жонгарии
    А Данабаева, А Сыдыков, А Кусаинов
    Наука, новые технологии и инновации Кыргызстана 7, 70-76 , 2023
    2023
  • Android application for parsing X-ray absorption coefficients web database
    A Kussainov, Y White, S Kemelzhanova
    International Journal of Mathematics and Physics 14 (1), 71-76 , 2023
    2023
  • Implementing the basic CT backprojecting algorithm in android mobile application
    AS Kussainov, M Em, Y Myrzabek, M Mukhatay
    Journal of Physics: Conference Series 2090 (1), 012132 , 2021
    2021
    Citations: 1
  • Transition to mammography in the regular computed tomography simulation and reconstruction software
    A Kussainov, YV White, M Em, Y Myrzabek, E Salavatova, S Zhaldybayev
    International Journal of Mathematics and Physics 12 (1), 78-87 , 2021
    2021
  • Remastering the imperfect home-made CT projections data for further reconstruction
    AS Kussainov, NO Saduev
    Journal of Physics: Conference Series 1730 (1), 012079 , 2021
    2021
    Citations: 1
  • Simple, contrast based, compartmentalization in 3D reconstruction from CT images
    AS Kussainov, NO Saduev, MA Em, MA Mukhatay, YT Myrzabek
    Physical Sciences and Technology 7 (1-2), 38-42 , 2020
    2020
    Citations: 1
  • Homemade computed tomography setup with FDK reconstruction software
    AS Kussainov, NO Saduev
    Journal of Physics: Conference Series 1391 (1), 012086 , 2019
    2019
    Citations: 5
  • Stability and performance of FDK algorithm for CBCT in multithreaded implementation
    AS Kussainov
    Journal of Physics: Conference Series 1141 (1), 012025 , 2018
    2018
    Citations: 2
  • The Wang Landau parallel algorithm for the simple grids. Optimizing OpenMPI parallel implementation
    AS Kussainov
    Journal of Physics: Conference Series 936 (1), 012034 , 2017
    2017
  • Neutron monitor generated data distributions in quantum variational Monte Carlo
    AS Kussainov, N Pya
    Journal of Physics: Conference Series 738 (1), 012076 , 2016
    2016
    Citations: 1
  • Parallel simulations of Grover's algorithm for closest match search in neutron monitor data
    A Kussainov, Y White
    APS March Meeting Abstracts 2016, G1. 278 , 2016
    2016
  • On ordered categorical modelling for complex skill development
    N Pya, A Kussainov
    16th Applied Stochastic Models and Data Analysis (ASMDA) International … , 2016
    2016
  • QUICK AND EASY PARALLELIZATION TECHNIQUE FOR THE ISING 2D MODEL IN OPEN MPI
    AS Kussainov, AK Beisekov
    Новости науки Казахстана, 45-55 , 2016
    2016
  • DEPLOYMENT AND TESTING OF THE PARALLEL ENVIRONMENT FOR THE QUANTUM VARIATIONAL MONTE CARLO METHOD
    AS Kussainov, AK Beisekov, GB Turmaganbet
    Новости науки Казахстана, 23-33 , 2016
    2016
  • Immediate challenges faced by the quantum computing in time series analysis Вопросы применения квантовых вычислений в анализе временных рядов Уақыттық қатарларды талдауда …
    ASKATKSG Kussainov, NY Pya
    2015
  • Calculating Hurst exponent and neutron monitor data in a single parallel algorithm
    AS Kussainov, SG Kussainov
    Journal of Physics: Conference Series 633 (1), 012072 , 2015
    2015
    Citations: 1
  • Hurst exponent estimation, verification, portability and parallelization
    AS Kussainov, SG Kussainov
    Recent Contributions to Physics 52 (1), 98-103 , 2015
    2015
  • Оценка экспоненты Херста, тестирование, переносимость и распараллеливание алгоритма вычисления
    AS Kussainov, SG Kussainov
    Recent Contributions to Physics (Rec. Contr. Phys.) 52 (1), 98-103 , 2015
    2015
  • COMPUTER MODEL FOR THE QUANTUM UNITARY LINEAR TRANSFORMATION OPERATOR IN MATHEMATICA SOFTWARE
    AS Kussainov, SG Kussainov
    Новости науки Казахстана, 144-149 , 2014
    2014

MOST CITED SCHOLAR PUBLICATIONS

  • Homemade computed tomography setup with FDK reconstruction software
    AS Kussainov, NO Saduev
    Journal of Physics: Conference Series 1391 (1), 012086 , 2019
    2019
    Citations: 5
  • Stability and performance of FDK algorithm for CBCT in multithreaded implementation
    AS Kussainov
    Journal of Physics: Conference Series 1141 (1), 012025 , 2018
    2018
    Citations: 2
  • Immediate challenges faced by the quantum computing in time series analysis
    AS Kussainov, AT Karimova, SG Kussainov, NY Pya
    Recent Contributions to Physics 2013 (1), 101-105 , 2013
    2013
    Citations: 2
  • The neutron moni tor time series data communication with the quantum algorithms
    AS Kussainov, SG Kussainov, NY Pya
    Izvestiya NAN RK.-2013.-4 (290).-P 13 , 2013
    2013
    Citations: 2
  • THE EARHTQUAKE PRECURSORS IN WAVELET TRANSFORM OF THE DATA FROM THE NEUTRON MONITOR AT TIEN-SHAN HIGH ELEVATION RESEARCH STATION
    NM Duisekeyeva, AS Kussainov, VV Oskomov
    Recent Contributions to Physics 2011 (2), 25-28 , 2011
    2011
    Citations: 2
  • Implementing the basic CT backprojecting algorithm in android mobile application
    AS Kussainov, M Em, Y Myrzabek, M Mukhatay
    Journal of Physics: Conference Series 2090 (1), 012132 , 2021
    2021
    Citations: 1
  • Remastering the imperfect home-made CT projections data for further reconstruction
    AS Kussainov, NO Saduev
    Journal of Physics: Conference Series 1730 (1), 012079 , 2021
    2021
    Citations: 1
  • Simple, contrast based, compartmentalization in 3D reconstruction from CT images
    AS Kussainov, NO Saduev, MA Em, MA Mukhatay, YT Myrzabek
    Physical Sciences and Technology 7 (1-2), 38-42 , 2020
    2020
    Citations: 1
  • Neutron monitor generated data distributions in quantum variational Monte Carlo
    AS Kussainov, N Pya
    Journal of Physics: Conference Series 738 (1), 012076 , 2016
    2016
    Citations: 1
  • Calculating Hurst exponent and neutron monitor data in a single parallel algorithm
    AS Kussainov, SG Kussainov
    Journal of Physics: Conference Series 633 (1), 012072 , 2015
    2015
    Citations: 1
  • ³He neutron detector with аandroid smartphone integration
    AS Kussainov, P Arnqvist, NP Arnqvist, N Saduyev, O Kalikulov, ...
    Physical Sciences and Technology 12 (3-4), 83-92 , 2025
    2025
  • Статистический анализ сейсмических данных сильных землетрясений Жонгарии
    А Данабаева, А Сыдыков, А Кусаинов
    Наука, новые технологии и инновации Кыргызстана 7, 70-76 , 2023
    2023
  • Android application for parsing X-ray absorption coefficients web database
    A Kussainov, Y White, S Kemelzhanova
    International Journal of Mathematics and Physics 14 (1), 71-76 , 2023
    2023
  • Transition to mammography in the regular computed tomography simulation and reconstruction software
    A Kussainov, YV White, M Em, Y Myrzabek, E Salavatova, S Zhaldybayev
    International Journal of Mathematics and Physics 12 (1), 78-87 , 2021
    2021
  • The Wang Landau parallel algorithm for the simple grids. Optimizing OpenMPI parallel implementation
    AS Kussainov
    Journal of Physics: Conference Series 936 (1), 012034 , 2017
    2017
  • Parallel simulations of Grover's algorithm for closest match search in neutron monitor data
    A Kussainov, Y White
    APS March Meeting Abstracts 2016, G1. 278 , 2016
    2016
  • On ordered categorical modelling for complex skill development
    N Pya, A Kussainov
    16th Applied Stochastic Models and Data Analysis (ASMDA) International … , 2016
    2016
  • QUICK AND EASY PARALLELIZATION TECHNIQUE FOR THE ISING 2D MODEL IN OPEN MPI
    AS Kussainov, AK Beisekov
    Новости науки Казахстана, 45-55 , 2016
    2016
  • DEPLOYMENT AND TESTING OF THE PARALLEL ENVIRONMENT FOR THE QUANTUM VARIATIONAL MONTE CARLO METHOD
    AS Kussainov, AK Beisekov, GB Turmaganbet
    Новости науки Казахстана, 23-33 , 2016
    2016
  • Immediate challenges faced by the quantum computing in time series analysis Вопросы применения квантовых вычислений в анализе временных рядов Уақыттық қатарларды талдауда …
    ASKATKSG Kussainov, NY Pya
    2015