Teaching Staff
Dr. Stanislav S. Makhanov
Date Posted : 2022-01-06
Faculty
:
School of Information, Computer, and Communication Technology (ICT)
Name
:
Dr. Stanislav S. Makhanov
Position
:
Professor
E-mail
:
[email protected]
Phone Rangsit
:
Phone Bangkadi
:
+66-2-501-3505~20
Phone Extension
:
5001
Education


Academic Awards


Research Areas

Robotics, Image processing, Pattern Recognition, Grid generation.
Research Interests

Software for Optimization of the Tool-Path of Industrial Milling Robots

Innovations in the field of mechanical engineering have enhanced the involvement of milling robots in various manufacturing processes. Nowadays, computer guided milling machines are employed to produce free-shape surfaces in mass manufacturing industries such as automobile, airplane, ship-building, etc. However, several physical phenomena, such as machine kinematics, thermal effects, static and dynamic loading, and common-cause failures often affect the quality of the desired surface. Although recent research papers have displayed a number of advanced methods to improve the characteristics of machining, a robust algorithm to generate the optimal tool-path for geometrically complex workpieces is still an open problem.

Artificial Intelligence and Artificial Life for Medical Image Processing
The images generated by tomography (CT scan, MRI, ultrasound, PET),electroencephalography, magnetoencephalography can be processed and analyzed by computers. Combined with the rapidly enhancing performances of graphics processors, improved programming support, 
the mathematical models designed for computer aided imaging and diagnostics can detect early signs of the decease and save lives. AI has revolutionized the medical industry and has become an unstoppable force, delivering numerous benefits. However, even in the presence of huge amounts of data collected by sensors, IoT, and imaging devices, AI often fails when applied to unknown data. Therefore, an important research direction in diagnostic and monitoring is integration of the AI with applications representing different aspects of human intelligence. This includes the hybrids of the neural networks and super pixels or deep learning and level-set methods in image processing, etc. when the conventional models meet the AI.The Biomedical Unit of SIIT leaded by Dr. Makhanov collaborates with advanced medical centers of radiology to develop new image processing methods to diagnose early stages of cancer.

The Biomedical Unit of SIIT leaded by Dr. Makhanov collaborates with the Queen Sirikit Center for Breast Cancer and the Department of Radiology of Thammasat University to develop new image processing methods to diagnose early stages of cancer.

PhD scholarships for Thai nationals and international students are available.


Work Experiences


Theses Supervised

Master Thesis Supervised

2008: Yoichi Nakaguru. Simultaneous Localization and Mapping with Shi-Tomashi Point Features.
2013: Apivan Tuntakurn. Natural Interaction with a 3D Medical Image Viewer.
2018: Pasindu Manisha. Retinal Image Processing.
2019: Nalan Karunanayake. Segmentation of Ultrasound Images of Breast Cancer.
2019: Supatpong Narmnark. Graphics System to Control Kinematics Error of Five-axis Milling Machine.
2019: Ashan Eranga. Five-axis Machining of Medical Implants.
2020: Luu Hai Tuan. Kinematic Error of Five-Axis Milling Machine.
Current: Isura Dissanayake. Artificial Intelligence for Medical Image Processing.
Current: Chivorn Nhoem. Segmentation of Medical Images.
Current: Onsasipat Kasamrach. GAN for Ultrasound Medical Image.

Doctoral Theses Supervised

2005: Annupan Rodtook. Adaptive Noise Removal and Wavelet Moments for 2D Pattern Recognition.
2006: Weerachai Anotaipaiboon. New Algorithms for Tool Path Generation and Optimization for Five-Axis Milling Machines.
2012: Sirikan Chucherd. Segmentation and Recognition of Architectural Distortion in Mammogram Images.
2014: Yoichi Nakaguru. Snakes for Segmentation of Complex Objects.
2016: Samart Moodleah. Optimization of Cutting Operations of 5 Axis Milling Machines.
2017: Khwunta Kirimasthong Automatic Initialization of Active Contours for Segmentation of Ultrasound Images of Breast Cancer.
2020: Le Van Dang. Five-Axis Machining of Medical Implants.
2020: Chadaporn Keatmanee. Segmentation of Fusion Medical Images
2021: Ademola Ilesanmi. Medical Image Processing.
2022: Aaiza Gul. Simulation of Magnetic Targeted Drug Delivery.
2023
Current		: Nalan Karunanayake. Artificial Life for Image Segmentation.
: Ashan Eranga. Five-axis Machining of Medical Implants.
Current: Suman Sharma. Multi-Scale Artificial Life with Deep Learning.
Current: Mohan Bhandari. Multi-Scale Artificial Life for Segmentation of Medical Images


Professional Activities


List of Publications

Journal papers

  • Karunanayake, N., Makhanov, S.S. (2024) When Deep Learning is not Enough: Artificial Life as a Supplementary Tool for Segmentation of Ultrasound Images of Breast Cancer, Medical and Biological  Engineering and Computing, OnlineFirst, https://doi.org/10.1007/s11517-024-03026-x
  • Karunanayake N, Moodleah S, Makhanov S.S. (2023) Edge-Driven Multi-Agent Reinforcement Learning: A Novel Approach to Ultrasound Breast Tumor Segmentation, Diagnostics 13 (24), 3611
  • Makhanov, S.S. Vector fields for five-axis machining. A survey (2022) International Journal of Advanced Manufacturing Technology, 122 (2), pp. 533-575.
  • Karunanayake, N., Lohitvisate, W. and S.S. Makhanov (2022) Artificial life for segmentation of fusion ultrasound images of breast abnormalities, Pattern Recognition, Vol 131, 108838
  • Kaothanthong, N., Atsavasirilert, K., Sarampakhul, S., Chantangphol, P., Songsaeng, D., Makhanov, S.(2022) Artificial intelligence for localization of the acute ischemic stroke by non-contrast computed tomography. PLoS ONE, Vol. 17, No 12 : e0277573.
  • Vanderperre, E.J., and S.S. Makhanov (2022) On Gaver’s parallel system supervised by a safety unit:The global recovery time. Communications in Statistics—Theory and Methods, 51:20, 6935-6946
  • Gul, A., Tzirtzilakis, E. and S.S. Makhanov (2022), Simulation of targeted magnetic drug delivery:Two-way coupled bio magnetic fluid dynamics approach, Physics of Fluids, Vol. 34, No 2, 021911.
  • Khaing, T.T., Aimmanee, P., Makhanov, S.S. and H. Haneishi (2022), Vessel-based hybrid optic disk segmentation applied to mobile phone camera retinal images, Medical & Biological Engineering & Computing, Vol. 60, pp. 421–437.
  • Gul, A., Tzirtzilakis, E. and S.S. Makhanov (2022) , A two-phase, two-way coupled model of targeted magnetic drug delivery for small Reynolds numbers, Engineering Applications of Computational Fluid Mechanics, Vol 34, No2, 021911.
  • Ruennak, T., Aimmanee, P., Makhanov, S. et al.(2022)  Diabetic eye sentinel: prescreening of diabetic retinopathy using retinal images obtained by a mobile phone camera. Multimedia Tools and Applications, Vol. 81, No1, pp. 1447-1466
  • KhaingT.T. , Okamoto T, Ye C, Mannan M.A. Miura G. Yokouchi H., Nakano K., Aimmanee P.,Makhanov S., Haneishi H (2022), Automatic measurement of choroidal thickness and vasculature in optical coherence tomography images of eyes with retinitis pigmentosa, Artificial Life and Robotics 27 (1), 70-79
  • Keatmanee C, Thongvigitmanee S.S, Chaumrattanakul U, Makhanov S.S. (2022), A Breast Cancer Contour Detection With Level Sets and SVM Model, International Journal of Knowledge and Systems Science, 13 (1), 1-14
  • Khaing,T.,T., Okamoto, T., Ye, C., Mannan, A., Yokouchi, H., Nakano, K.,  Aimmanee, P., Makhanov, S. and H. Haneishi (2021) ChoroidNET: A Dense Dilated U-Net Model for Choroid Layer and Vessel Segmentation in Optical Coherence Tomography Images, IEEE Access, Vol 9, pp. 150951-150965.
  • Vanderperre, E.,J. and S. S. Makhanov  (2021) Reliability of an engineering system characterized by hot and cold standby: a compound boundary value problem, Yugoslav Journal of Operations Research, Vol.31, No 3, pp.3664-3695.
  • Ilesanmi, A.E., Chaumrattanakul, U. and S.S. Makhanov (2021) A method for segmentation of tumors in breast ultrasound images using the variant enhanced deep learning, Biocybernetics and Biomedical Engineering, Vol.41, No 2, pp.802-818.
  • Dang L.V. and S. S. Makhanov (2021) Enhanced vector flow of significant directions for five-axis machining of STL surfaces, International Journal of Production Research Vol.29, No 12, pp. 3664-3695.
  • Mukkarum, H., Iftikhar, A., Ilyas K., My C.A., Baig, M.M, Khan A. and  S.S. Makhanov (2021),  Simulation of liquid fuel combustion start-up dynamical behavior, Case Studies in Thermal Engineering, Vol 26, 101025.
  • Ilesanmi, A.E., Chaumrattanakul, U. and S.S. Makhanov (2021) Methods for the segmentation and classification of breast ultrasound images: a review. Journal of Ultrasound (in print)
  • Ilesanmi, A.E., Idowu, O.P., Chaumrattanakul, U. and S.S. Makhanov (2021) Multiscale hybrid algorithm for pre-processing of ultrasound images Biomedical Signal Processing and Control, Vol. 66, pp. 102396.
  • Khaing, T.T., Ruennark, T., Aimmanee, P., Makhanov, S. and N. Kanchanaranya (2021)  Glaucoma detection in mobile phone retinal images based on ADI-GVF segmentation with EM initialization, ECTI Transactions on Computer and Information Technology,  Vol. 15, No 5, pp. 134–149.
  • Vanderperre, E.J., and S.S. Makhanov (2021) On Gaver’s parallel system supervised by a safety unit: The global recovery time. Communications in Statistics—Theory and Methods.In print.
  • Ilesanmi, A. E., Idowu. A.P., and S.S. Makhanov (2020), Multiscale superpixel method for segmentation of breast ultrasound, Computers in Biology and Medicine, Vol 125, pp.103879.
  • Kudabalage A.E., Dang L.V. and  S. S. Makhanov (2020) Postprocessor for five-axis machining of STL surfaces based on Nagata interpolation and optimization of rotation angles, International Journal of Computer Integrated Manufacturing, Vol 33 No 8, pp. 792-809.
  • My C.H., Makhanov S.,  Van N.A. and V. M. Duc (2020) Modeling and computation of real-time applied torques and non-holonomic constraint forces/moment, and optimal design of wheels for an autonomous security robot tracking a moving target, Mathematics and Computers in Simulation, Vol 170, pp. 300-315.
  • Karunanayake, N., Aimmanee, P., Lohitvisate, W. and S.S. Makhanov (2020) Particle method for segmentation of breast tumors in ultrasound images, Mathematics and Computers in Simulation, Vol. 170, pp. 257-284.
  • Dang L.V., Vacharanukul K. and S. S. Makhanov (2019) Compact radial zigzag for five-axis machining of STL surfaces, The International Journal of Advanced Manufacturing Technology, Vol. 105, No 5-6, pp. 1853–1882.
  • Vanderperre E.J and S.S. Makhanov (2019) Point availability of Gaver’s duplex system supervised by a safety device unit, Operations Research Letters,Vol. 47, No. 5, pp. 417–420.
  • Keatmanee C., Chaumrattanakul U.,  Kotani K. and S.S. Makhanov (2019) Initialization of active contours for segmentation of breast cancer via fusion of ultrasound, doppler, and elasticity images, Ultrasonics Vol 94, April 2019, pp. 438-453.
  • Rodtook, A., Kirimasthong, K., Lohitvisate, W., Makhanov S.S. (2018) Automatic initialization of active contours and level set method in ultrasound images of breast abnormalities, Pattern Recognition, Vol. 79, pp. 172-182.
  • Gul, A., Khan, I., Makhanov, S.S. (2018) Entropy generation in a mixed convection Poiseulle flow of molybdenum disulphide Jeffrey nanofluid, Results in Physics, Vol. 9, pp. 947-954.
  • Vanderperre, E.J., Makhanov, S.S. (2018) On the reliability of Gaver's parallel system supervised by a safety unit, Operations Research Letters, Vol. 46, No 2, pp. 257-261.
  • Muangnak, N., Aimmanee, P., Makhanov S. (2018) Automatic optic disk detection in retinal images using hybrid vessel phase portrait analysis, Medical and Biological Engineering and Computing,  Vol. 56, No 4, pp. 583-598.
  • Vanderperre, E. J. and S. S. Makhanov (2017). A functional equation related to a repairable system subjected to priority rules, European Journal of Applied Mathematics, Vol.28, No. 1, February 2017, pp. 123-140.
  • Vanderperre, E. J. and S. S. Makhanov (2017).  On the survival time of a repairable duplex system sustained by a cold standby unit subjected to a priority rule, Communications in Statistics —Theory and Methods, Vol. 46, No. 16, 2017, pp. 7872-7886.
  • Kirimasthong, K., A. Rodtook, U. Chaumrattanakul and S.S.Makhanov (2017). Phase portrait analysis for automatic initialization of multiple snakes for segmentation of the ultrasound images of breast cancer, Pattern Analysis and Applications, Vol. 20, No. 1, February 2017, pp. 239–251.
  • Moodleah, S.; Bohez, E.J.; and S.S. Makhanov (2016). Five-axis machining of STL surfaces by adaptive curvilinear toolpaths, International Journal of Production Research, Vol. 54, No. 24, 16 December 2016, pp. 7296-7329.
  • Boonkla, S.; Unoki, Masashi; S. S. Makhanov; and Wutiwiwatchai, C. (2016). Speech analysis method based on source-filter model using multivariate empirical mode decomposition, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E99A, No. 10, October 2016, pp. 1762-1773.
  • Vanderperre, Edmond J. and S. S. Makhanov (2015). Reliability of Birolini's duplex system sustained by a cold standby unit and subjected to a priority rule, TOP, Vol. 23, No. 2, July 2015, pp. 441-465.
  • Muangnak, N.; P. Aimmanee; S. S. Makhanov; and B. Uyyanonvara (2015). Vessel transform for automatic optic disk detection in retinal images, IET Image Processing, Vol. 9, No. 9, September 2015, pp. 743-750.
  • Moodleah, S. and S. S. Makhanov (2015). 5-axis machining using a curvilinear tool path aligned with the direction of the maximum removal rate, The International Journal of Advanced Manufacturing Technology, Vol. 80, No. 1, September 2015, pp. 65-90.
  • Srijuntongsiri, G. and S. S. Makhanov (2015). Optimisation of five-axis machining G-codes in the angular space, International Journal of Production Research, Vol. 53, No. 11, pp. 3207–3227.
  • Vanderperre, Edmond J. and S. S. Makhanov (2015). Overall availability and risk analysis of a general robot-safety device system, International Journal of Systems Science, Vol. 46, No. 10, 2015, pp. 1889-1896.
  • Vanderperre, E. J. and S. S. Makhanov (2014). Availability analysis of a repairable duplex system: a z-dependent Sokhotski-Plemelj problem, TOP, Vol. 22, No. 3, October 2014, pp. 976-996.
  • Vanderpere, E. J. and S. S. Makhanov (2014). Reliability analysis of a repairable duplex system, International Journal of Systems Science, Vol. 45, No. 9, pp.1970-1977.
  • Vanderperre, E. J. and S. S. Makhanov (2014). On the availability of a warm standby system: a numerical approach, TOP, Vol. 22, No. 2, July 2014, pp. 644-657.
  • Inthajak, K.; C. Duanggate; B. Uyyanovara; and S. S. Makhanov (2014). KNN algorithm in a framework of scale-space theory for retinal image analysis, Suranaree Journal of Science and Technology, Vol. 21, No. 2, April-June 2014, pp. 87-96.
  • Rodtook, A. and S. S. Makhanov (2013). Multi-Feature Gradient Vector Flow Snakes for Adaptive Segmentation of the Ultrasound Images of Breast Cancer, Journal of Visual Communication and Image Representation, Vol. 24, No. 8, November 2013, pp. 1414-1430.
  • Nakaguro, Y.; M. N. Dailey; S. Marukatat; and S. S. Makhanov (2013). Defeating line-noise CAPTCHAs with multiple quadratic snakes, Computers & Security, Vol. 37, September 2013, pp. 91-110.
  • Vanderperre, E. J. and S. S. Makhanov (2012). Risk analysis of a robot-safety device system subjected to a priority rule, Probability in the Engineering and Informational Sciences, Vol. 26, No. 2, pp. 295-306.
  • Munlin, M. and S. S. Makhanov (2012). Iterative tool path optimization for five-axis machines with optimal point insertion, Computer-Aided Design and Applications, Vol. 9, No. 1, pp. 33-41.
  • Chucherd, S. and S. S. Makhanov (2011). Sparse Phase Portrait Analysis for Preprocessing and Segmentation of Ultrasound Images of Breast Cancer, IAENG International Journal of Computer Science, Vol. 38, No. 2, 2011, pp. 146-159.
  • Anotaipaiboon, W. and S. S. Makhanov (2011). Minimization of the kinematics error for five-axis machining,Computer-Aided Design, Vol. 43, No. 12, December 2011, pp. 1740–1757.
  • Nakaguro, Y.; S. S. Makhanov; and M. N. Dailey (2011). Numerical experiments with cooperating multiple quadratic snakes for road extraction, International Journal of Geographical Information Science, Vol. 25, No. 5, pp. 765-783.
  • Mudcharoen, A. and S.S. Makhanov (2011). Optimization of rotations for six-axis machining, International Journal of Advanced Manufacturing Technology, Vol. 53, Nos. 5-8, March 2011, pp. 435-451.
  • Duanggate, C., B. Uyyanonvara, S.S. Makhanov, S. Barman, and T. Williamson (2011). Parameter-free optic disc detection, Computerized Medical Imaging and Graphics, Vol. 35, No. 1, January 2011, pp. 51-63.
  • Anotaipaiboon, W. and S.S. Makhanov (2010). Optimal grids for five-axis machining, Mathematics and Computers in Simulation, Vol. 81, No. 3, November 2010, pp. 636-655.
  • Chucherd, S., A. Rodtook and S.S. Makhanov (2010). Phase portrait analysis for multiresolution generalized gradient vector flow, IEICE Transactions on Information and Systems, Vol. E93-D, No. 10, October 2010, pp. 2822-2835.
  • Rodtook, A. and S.S. Makhanov (2010). Continuous force field analysis for generalized gradient vector flow field, Pattern Recognition, Vol. 43, No. 10, October 2010, pp. 3522-3538.
  • Makhanov, Stanislav S. (2010). Adaptable geometric patterns for five-axis machining: a survey, The International Journal of Advanced Manufacturing Technology, Vol. 47, Nos. 9-12, April 2010, pp. 1167-1208.
  • Makhanov, S. S. (2009). Space-filling curves in adaptive curvilinear coordinates for computer numerically controlled five-axis machining, Mathematics and Computers in Simulation, Vol. 79, No. 8, April 2009, pp. 2385-2402.
  • Rodtook, A. and S. S. Makhanov (2009). Selection of multiresolution rotationally invariant moments for image recognition, Mathematics and Computers in Simulation, Vol. 79, No. 8, April 2009, pp. 2458-2475.
  • Vanderperre, E. J. and S. S. Makhanov (2009). Overall availability of a robot with internal safety device,Computers & Industrial Engineering, Vol. 56, No. 1, February 2009, pp. 236-240.
  • Sukkaew, L., B. Uyyanonvara, S. S. Makhanov, S. Barman, and P. Pangputhipong (2008). Automatic tortuosity-based retinopathy of prematurity screening, IEICE Transactions on Information and Systems, Vol. E91-D, No. 12, December 2008, pp. 2868-2874.
  • Anotaipaiboon, W. and S. S. Makhanov (2008). Curvilinear space-filling curves for five-axis machining,Computer-Aided Design, Vol. 40, No. 3, March 2008, pp. 350-367.
  • Makhanov, S. S. (2007). Optimization and correction of the tool path of the five-axis milling machine: Part 1. Spatial optimization, Mathematics and Computers in Simulation, Vol. 75, No. 5-6, 5 September 2007, pp. 210-230.
  • Makhanov, S. S. (2007). Optimization and correction of the tool path of the five-axis milling machine: Part 2: Rotations and setup, Mathematics and Computers in Simulation, Vol. 75, No. 5-6, 5 September 2007, pp. 231-250.
  • Makhanov, S. S. and E.J. Vanderperre (2007). A note on a Markov time related to a priority system, WSEAS Transactions on Mathematics, Vol. 6, No. 9, September 2007, pp. 811-816.
  • Makhanov, S.S. and M. Munlin (2007). Optimal sequencing of rotation angles for five-axis machining,International Journal of Advanced Manufacturing Technology, November 2007, Vol. 35, No. Nos. 1-2, pp. 41-54.
  • Rodtook, A. and S. S. Makhanov (2007). A filter bank method to construct rotationally invariant moments for pattern recognition, Pattern Recognition Letters, Vol. 28, No. 12, September 2007, pp. 1492-1500.
  • Makhanov, S. S. and W. Anotaipaiboon (2007). Advanced numerical methods to optimize cutting operations of five-axis milling machines, published by Springer, 206 p.
  • Anotaipaiboon, W., S. S. Makhanov and E. L. J. Bohez (2006). Optimal setup for five-axis machining,International Journal of Machine Tools and Manufacture, Vol. 46, No. 9, July 2006, pp. 964-977.
  • Makhanov, S. S. and S. Rodtook (2006). Rotationally invariant filter bank for pattern recognition of noisy images, Journal of Intelligent and Fuzzy Systems, Vol. 17, No. 1, pp. 71-82.
  • Vanderperre, E. J. and S. S. Makhanov (2005). A Markov time related to a robot-safety device system, 4OR,Quarterly Journal of the Belgian, French and Italian Operations Research Societies, Vol. 3, No. 1 , pp. 51-57.
  • Rodtook, S. and S. S. Makhanov. (2005). Numerical experiments on the accuracy of rotation moment invariants,International Journal of Image and Vision Computing, Vol. 23, No. 6, pp. 577-586.
  • Anotaipaiboon, W. and S. S. Makhanov (2005). Tool path generation for five-axis NC machining using adaptive space-filling curves, International Journal of Production Research, Vol. 43, No. 8, pp. 1643-1665.
  • Vanderperre, E.J. and S. S. Makhanov (2005). Long-run availability of a priority system: a numerical approach,Mathematical Problems in Engineering, No. 1, pp. 75-85.
  • Munlin, M., S.S. Makhanov and E.L.J. Bohez (2004). Optimization of rotations of a five-axis milling machine near stationary points, Computer- Aided Design (CAD), Vol. 36, No. 12, pp. 1117-1128.
  • Ivanenko, S.A., Makhanov, S.S., and M. Munlin (2004). New numerical algorithms to optimize cutting operations of a five-axis milling machine, Applied Numerical Mathematics, Vol. 49, No. 3-4, pp. 395-413.
  • Makhanov, S.S. and S.A. Ivanenko (2003). Grid generation as applied to optimize cutting operations of a five-axis milling machine, Applied Numerical Mathematics, Vol. 46, pp. 353-377.
  • Makhanov, S.S. and A.Yu. Semenov (2003). Six numerical schemes for parabolic initial boundary value problems with a priory bounded solution, Applied Numerical Mathematics, Vol. 46, pp. 331-351.
  • Makhanov, S.S., D. Batanov, E, Bohez, K. Sonthipaumpoon, W. Anotaipaiboon and M. Tabucanon (2002). On the tool-path optimization of a milling robot, Computers and Industrial Engineering, Vol. 43, Elsevier Pub., pp. 455-472.
  • Vanderperre, E.J. and S.S. Makhanov (2002). Risk analysis of a robot safety device system, Int. Journal., Quality Reliability and Safety Eng. Vol. 9, No. 1, World Scientific Pub. pp. 79-87.
  • Vanderperre, E.J. and S. S. Makhanov (2002). On Gaver's parallel system sustained by a cold standby unit and attended by two repairmen, Operations Research Letters, Vol. 30, No. 1, Elsevier Pub., pp. 43-48.
  • Rodtook, S. and S. Makhanov (2001). A new adaptive multistage filter for the removal of impulse noise,International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, Vol. 9, No. 6, pp. 759-768.
  • Makhanov, S.S. and E.J. Vanderperre (2001). Optimal adaptive blur identification of noisy images, Yugoslav Journal of Operation Research, Vol. 11, No. 1, pp. 105-112.
  • Makhanov, S.S. and E.J. Vanderperre (2001). A blur identification based on hybrid optimization, Belgian Journal of Operation Research, Vol. 38, No. 4, pp. 181-195.
  • Makhanov, S.S. (2001). New finite difference schemes for constrained non-linear parabolic equations with application to the porous medium flows, ScienceAsia, Vol. 27, No. 1., pp. 51-62.
  • Bohez, E., S.S. Makhanov and K. Sonthipermpoon (2000). Adaptive non-linear tool path optimization for 5-axis machining, International Journal of Production Research, Vol. 37, No17, pp. 4329-4345.
  • Vanderperre, E.J. and S.S. Makhanov (2000). Long run availability of a robot-safety device system, Int. Journal., Quality Reliability and Safety Engineering, Vol. 7, No. 2, pp. 169-175.
  • Makhanov, S.S. (2000). Correction of curvilinear grids for numerical solution of ground water problems, Water Resources, Vol. 27, No. 6, pp. 633-641.
  • Makhanov, S.S. (1999). An application of the grid generation techniques to optimize a tool-path of industrial milling robots, Journal of Computational Mathematics and Mathematical Physics, Vol, 39, No. 9, pp. 1589-1600.
  • Makhanov, S.S., S. Vannakrairojn, and E.J. Vanderperre (1999). A two-dimensional numerical model of flooding in East-Bangkok, Journal of Hydraulic Engineering, Vol. 25, No. 4.
  • Vanderperre, E.J., S. Vannakrairojn and S.S. Makhanov (1999). Stochastic behavior of a robot-safety device system, Yugoslavian Journal of Operation Research, Vol. 9, No. 2, pp. 17-26.
  • Vanderperre, E.J. and S. S. Makhanov (1999). A Cauchy integral related to a robot-safety device system,Serdica Mathematical Journal, Vol. 25, pp. 311-320.
  • Makhanov, S.S., E.J. Vanderperre and K. Sonthipaumpoon (1999). On generation of curvilinear grids, South-East Asian Bulletin of Mathematics, Vol. 23, pp. 231 –241.
  • Vanderperre, E.J., S.S. Makhanov and K.Sonthipaumpoon (1998). A renewal integral equation related to a multiple cold standby system, Opsearch, Vol. 35, No. 2, pp. 154-159.
  • Makhanov, S.S., A. Panitkulpong and E.J. Vanderperre (1997). Mathematical modeling of river-groundwater flows on curvilinear grids, J. Russian Meteorology and Hydrology, No. 2, pp. 92-105.
  • Vanderperre, E.J., S.S. Makhanov and S. Suchatvejapoom (1997). Long-run availability of a repairable parallel system, Microelectronics & Reliability, Vol. 37, No. 3, pp. 525-527.
  • Vanderperre, E.J., T.Larsar and S.S Makhanov (1997). On Poisson summation formula: a probabilistic approach, J.Sci.Soc. Thailand, Vol. 23, pp. 57-59.
  • Makhanov S.S. and A.Yu. Semenov (1996). A two dimensional non-negative algorithm for calculating the flow of a liquid in an open channel, J. Comp. Maths. Math. Phys, No. 4, pp. 501-507.
  • Vanderperre, E.J., S. Vannakrairojn and S.S. Makhanov (1996). A delay differential equation related to a renewable parallel system, Microelectronics and Reliab, Vol. 37, No. 5, pp. 937-941.
  • Vanderperre, E.J. and S.S. Makhanov (1996). On Gaver’s parallel system sustained by a cold standby unit and attended by two repairmen, Opsearch, Vol. 33, No. 2, pp. 107-114.
  • Vanderperre, E.J., S.S. Makhanov and P. Rattanathanawan (1996). Reliability of a repairable parallel system,J.Sci.Soc. Thailand, Vol. 22, pp. 75-81.
  • Grigoriev, V.V., P.P. Koryavov and S.S. Makhanov (1996). Models of a river basin, Appl. Math. Ser., Moscow, Comp. Center of the Russ. Acad. of Sci. (in Russian).
  • Makhanov, S.S., P. Chitsakul and E. J. Vanderperre (1995). Mathematical modeling of coupled river-groundwater flows, J. Sci. Soc. Thailand, Vol. 21, pp. 271-283.
  • Makhanov, S.S. and A.Yu. Semenov (1995). A new method for calculating surface runoff, J. Russian Meteorology and Hydrology, Allerton Press, No. 3, pp. 72-81.
  • Makhanov, S.S. and A.Yu.Semenov (1995). Modeling of motion of fluid with free surface under level recession,Water Resources, Vol. 22, No. 4, pp. 357-362.
  • Makhanov, S.S. and A.Yu. Semenov (1994). A stable non-negative numerical method for calculating the flow in open channels, J. Comp. Maths. Math. Phys, Vol. 34, No. 1, pp. 85-95.
  • Makhanov, S.S. (1994). Mathematical modeling of water dynamics in river or land-reclamation systems, Water Resources, Vol. 21, No. 3.
  • Makhanov, S.S. (1994). Dialogue system for simulations of irrigation systems, Appl. Math. Ser., Moscow Comp. Center of the Russ. Acad. of Sci., (in Russian).
  • Makhanov, S.S. and A.Yu. Semenov (1993). Non-negative numerical algorithm for the problems of a water movement with free surface, Moscow, General Phys. Inst. (In Russian).

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