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
:
makhanov@siit.tu.ac.th
Phone Rangsit
:
Phone Bangkadi
:
+66-2-501-3505~20
Phone Extension
:
5001
Education
  • M.Appl.Math., Moscow State University, Faculty of Computational Mathematics and Cybernetics, Moscow
  • Diploma in English Language, Moscow Institute of Foreign Languages, Moscow
  • Ph.D. in Applied Mathematics, Computer Center of the Russian Academy of Science, Russia
Academic Awards
  • The Outstanding Research Award, 2006, Thammasat University
  • The Very Good Research Award, 2007, Thammasat University
  • The Very Good Research Award, 2009, Thammasat University
  • The SIIT Research Award, 2015
  • The Best Research in Science and Technology, Thammasat University, 2017
  • Gold Publication Achievement Award, 2018, SIIT
  • Silver Medal, 2018, 46th International Invention Exhibition, Geneva.
  • Excellent Publication Award  SIIT, 2016, 2019, 2020, 2021, 2022.
  • Platinum Publication Award SIIT, 2020.
  • High Quality Publication Award SIIT, 2021, 2022.
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
  • 1999-Present: SIIT
  • 1994-1999: Visiting Professor, King Mongkut’s Institute of Technology Ladkrabang (KMITL), Thailand
  • Associate Professor (Part-time), Asian Institute of Technology (AIT), Thailand
  • 1981-1994: Associate Professor, Computer Center of the Russian Academy of Science, Russia
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 and S.S. Makhanov (2024) Deep learning for ultrasound medical images: artificial life variant. Neural Computing and Applications Vol. 36, No 28, pp. 17559-17584
  • 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).
Books
  • Stanislav S. Makhanov and Weerachai Anotaipaiboon "Advanced Numerical Methods to Optimize Cutting Operations of Five Axis Milling Machines”, Springer Series in Advanced Manufacturing, English Editions: 2007, 2010; Chinese Edition 2013.

Conference papers

  • Makhanov S.S. (2024) Numerical Experiments with Artificial Life for Segmentation of Breast Ultrasound. Tests Against State-of-the-art, Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON, 2024), in print
  • Makhanov S. (2023) Tensor Flow for Five-Axis Machining Leveraging Transdisciplinary Engineering in a Changing and Connected World: Proceedings of the 30th ISTE International Conference on Transdisciplinary Engineering, Hua Hin Cha Am, Thailand, July 11-14, 2023,pp 323-327
  • Makhanov S.S. (2023) The Art and Algorithms for Segmentation of Ultrasound Images of Breast Cancer Using Artificial Life, Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON, 2023), pp. 209-214
  • Karunanayake N, Makhanov S.S. (2022) Artificial Life for Breast Ultrasound Image Segmentation 7th International IEEE Conference on Frontiers of Signal Processing 2022, pp. 81-85
  • Dang L.V, Samart, S. and S. S. Makhanov (2019) Pattern detection for toolpath generation on triangular meshes for 5-axis CNC machining, Proceedings CAD’19, June 24-26, 2019, Singapore, pp. 303-307.
  • Narmnark S. and S.S. Makhanov(2019) Interactive system to control the kinematic error of a five-axis milling machine, The 2nd International Conference on Nanomaterials, Materials and Manufacturing Engineering (ICNMM 2019), May 17-19, 2019, Bangkok, Thailand [USB] 6p.
  • Karunanayake, N. and S. S. Makhanov (2019). Initialization free segmentation of complex shaped objects. In Proceedings of the 7th International Conference on Information, Communication and Networks (ICICN 2019), 5-7 January 2019, Macau, China, pp. 213-218.
  • Dang, L. V.; S. S. Makhanov; L.C Hieu; M.S Packianather; H.L Minh; and L.H Quoc (2018).Development of a fingerprint singularity detection method based on moment invariants for biometrics and medical applications, IFMBE Proceedings: Proceedings of the 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME 2018), 27-29 June 2018, Ho Chi Minh, Vietnam, Vol. 69, 2019, pp. 489-492.
  • Kalpiyapan, V.; P. Aimmanee; S. S. Makhanov; S. Wongsakittirak; and N. Kamchanaran (2018). An automatic system to detect exudates in mobile-phone fundus images for DR pre-screening. Proceedings of the 13th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2018), 15-17 November 2018, Pattaya City, Chonburi, Thailand, pp. 287-292.
  • Kuruppuarachchi, P. and S. S. Makhanov (2018). Corner detection via walking particles. Proceedings of the 2018 International Conference on Communication Engineering and Technology (ICCET 2018), 24-26 February 2018, Singapore, pp. 15-17.
  • Ohnishi, T.; S. Kashio; T. Ogawa; K. Ito; S. S. Makhanov; T. Yamaguchi; Y. Iwadate; and H. Haneishi (2018). Modality conversion from pathological image to ultrasonic image using convolutional neural network, Lecture Notes in Computer Science: Computational Pathology and Ophthalmic Medical Image Analysis: Proceedings of the 1st International Workshop (COMPAY 2018) and 5th International Workshop (OMIA 2018), 16-20 September 2018, Granada, Spain, Vol. 11039, 2018, pp. 103-111.
  • Dang, L. V. and S. S. Makhanov (2018). Vector field analysis for optimization of the tool path of the five-axis milling machine. In Proceedings of the 16th European Control Conference (ECC 2018), 12-15 June 2018, Limassol, Cyprus, pp. 495-500.
  • Ohnishi, T.; S. Kashio; K. Ito; S. S. Makhanov; T. Yamaguchi; Y. Iwadate; H. Haneishi (2018). Image feature conversion of pathological image for registration with ultrasonic image. In Proceedings of the International Workshop on Advanced Image Technology 2018 (IWAIT 2018), 7-9 January 2018, Chiang Mai, Thailand, 2 p.
  • Boonkla,S.; M. Unoki; C. Wutiwiwatchai; and S. S. Makhanov (2017). F0 estimation using empirical mode decomposition and complex cepstrum analysis in reverberant environments. In Proceedings of the Asia-Pacific Signal and Information Processing Association 9th Annual Summit and Conference (APSIPA ASC 2017), 12-15 December 2017, Kuala Lumpur, Malaysia, pp. 980-986.
  • Keatmanee, C.; S. S. Makhanov; K. Kotani; W. Lohitvisate; and S. S. Thongvigitmanee (2017). Automatic initialization for active contour model in breast cancer detection utilizing conventional ultrasound and Color Doppler. In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), 11-15 July 2017, Jeju Island, South Korea, pp. 3248-3251.
  • Keatmanee, C.; S. S. Makhanov; K. Kotani; W. Lohitvisate; and S. S. Thongvigitmanee (2017). Automatic initialization for active contour model in breast cancer detection utilizing the integration of ultrasonography image modalities. In Proceedings of the SICE Annual Conference 2017 (SICE 2017), 19-22 September 2017, Kanazawa, Japan, pp. 1276-1281.
  • Makhanov S.S. (2017). New numerical methods for five-axis CNC machining. In Proceedings of the International Conference on Mathematics, Computional Science and Engineering (ICMCSE 2017), 27-28 July 2017, Tokyo, Japan, pp. 86-92.
  • Makhanov S.S. (2017). Trial snakes for segmentation of breast cancer in ultrasound images. In Proceedings of the 14th International Conference on Electrical Engineering/Electronics, Computer and Information Technology (ECTI-CON 2017) [CD-ROM], 27-30 June 2017, Phuket, Thailand, pp. 408-411.
  • Makhanov, S. S. (2016). Adaptive numerical methods for five-axis CNC machining. In Proceedings of the the AUN/SEED-Net Regional Conference in Computer and Information Engineering 2016 (RCCIE 2016), 3-4 October 2016, Yangon, Myanmar, pp. 131-135.
  • Makhanov, S.S. (2016). Vector field guided tool paths for five-axis machining. In Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), 5-10 June 2016, Crete Island, Greece, 35 p.
  • Keatmanee, C; S. S. Makhanov; K. Kotani; T. Kondo; and S. S. Thongvigitmanee (2015). Inferior alveolar canal segmentation in cone beam computed tomography images using an adaptive diffusion flow active contour model. In Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA 2015), 18-22 May 2015, Tokyo; Japan, pp. 57-60.
  • Makhanov, S.S. (2015). Vector field analysis for segmentation of the ultrasound images of breast cancer. In Proceedings of the AUN/SEED-Net Regional Conference for Computer and Information Engineering 2015 (RCCIE 2015), 1-2 October 2015, Hanoi, Vietnam, pp. 22-27.
  • Boonkla, S.; Unoki, M.; Makhanov, S.S.; and Wutiwiwatchai, C. (2014). Speech analysis method based on source-filter model using multivariate empirical mode decomposition in log-spectrum domain. In Proceedings of the 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014), 12-14 September 2014, Singapore, pp. 555-559.
  • Makhanov, S.S. (2014). Curvilinear grids for five-axis machining. In Proceedings of the 6th International Conference on Numerical Analysis (NumAn 2014), 2-5 September 2014, Crete, Greece, pp. 186-191.
  • Nakaguro, Y. and Makhanov, S.S. (2014). Multiple quadratic snake software for medical image segmentation. In Proceedings of the International Conference on Information and Communication Technology for Embedded Systems (ICICTES2014) [CD-ROM], 23-25 January 2014, Ayutthaya, Thailand, 5 p.
  • Moodleah, S. and Makhanov, S.S. (2014). Vector field aligned grids for 5-axis machining of dental parts. In Proceedings of the International Conference on Information and Communication Technology for Embedded Systems (ICICTES2014) [CD-ROM], 23-25 January 2014, Ayutthaya, Thailand, 5 p.
  • Makhanov, S.S. (2013). Active contours (snakes) and their applications to medical images: a mini-lecture. In Proceedings of the Second Asian Conference on Information Systems (ACIS 2013) [CD-ROM], 31 October – 2 November 2013, Phuket, Thailand, pp. 565-574.
  • Moodleah, S. and Makhanov, S.S. (2013). Optimization of 5-axis machining with application to dental implants. In Proceedings of the Second Asian Conference on Information Systems (ACIS 2013) [CD-ROM], 31 October – 2 November 2013, Phuket, Thailand, pp. 575-580.
  • Kirimasthong, K.; Makhanov, S.S.; and Rodtook, A. (2013). Automatic Initialization of multiple active contours applied to ultrasound images of breast cancer. In Proceedings of the Second Asian Conference on Information Systems (ACIS 2013) [CD-ROM], 31 October – 2 November 2013, Phuket, Thailand, pp. 601-604.
  • Nakaguro, Y. and Makhanov S.S. (2013). Multiple quadratic snakes for segmenting tumors in medical images. In Proceedings of the Second Asian Conference on Information Systems (ACIS 2013) [CD-ROM], 31 October – 2 November 2013, Phuket, Thailand, pp. 605-608.
  • Tangseng, P.; Muangnak, N.; Aimmanee, P.; Makhanov, S.S.; and Uyyanonvara, B. (2013). A study of retinal blood vessel clustering for finding the main vessel convergence. In Proceedings of the Second Asian Conference on Information Systems (ACIS 2013) [CD-ROM], 31 October – 2 November 2013, Phuket, Thailand, pp. 581-586.
  • Makhanov, S. S. (2013). Active contours in medical image processing. Theory and applications. In Proceedings of the 2013 5th International Conference on Knowledge and Smart Technology (KST), 31 January – 1 February 2013, Chon Buri, Thailand, pp. XVIII-XXV.
  • Tuntakurn, A.; Thongvigitmanee, S. S.; Sa-Ing, V.; Makhanov, S. S.; and Hasegawa, S. (2013). Touchless finger gestures for categorical and spatio-temporal controls using kinect. In Proceedings of the International Conference on Information and Communication Technology for Embedded Systems (ICICTES 2013), 24-26 January 2013, Samutsongkhram, Thailand, pp. 33-37.
  • Tuntakurn, A.; Thongvigitmanee, S. S.; Sa-Ing, V.; Makhanov, S. S.; and Hasegawa, S. (2012). Natural interaction on 3D medical image viewer software. In Proceedings of the 5th Biomedical Engineering International Conference (BMEiCON2012), 5-7 December 2012, Ubon Ratchathani, Thailand, 5 p.
  • Bornschlegel, T.; Muangnak, N.; Aimmanee, P.; Makhanov, S. S.; Uyyanonvara, B. (2012). Finding curves’s convergence using Delaunay search. In Proceedings of The First ASIAN Conference on Information Systems (ACIS 2012) [CD-ROM], 6-8 December 2012, Siem Reap, Cambodia, pp. 358-362.
  • Makhanov, S. S. (2012). Segmentation of the ultrasound images of breast cancer by generalized gradient vector flow snakes. In Proceedings of the 1st Mae Fah Luang University International Conference 2012 (1stMFUIC2012) [CD-ROM], 29 November-1 December 2012, Chiang Rai, Thailand, 11 p.
  • Muangnak, N.; Aimmanee, P.; Makhanov, S. S.; and Uyyanonvara, B. (2012). An improved optic disc detection on low quality retinal images with entropy thresholding. In Proceedings of the Third International Conference on Information and Communication Technology for Embedded Systems (ICICTES2012) [CD-ROM], 22-24 March 2012, Bangkok, Thailand, 5 p.
  • Chucherd, S. and Makhanov, S. S. (2012). Detection of breast tumor in ultrasound images by phase portrait analysis. In Proceedings of the Third International Conference on Information and Communication Technology for Embedded Systems (ICICTES2012) [CD-ROM], 22-24 March 2012, Bangkok, Thailand, 6 p.
  • Nakaguro, Y.; Makhanov, S. S.; and Dailey, M. (2012). Multiple quadratic snakes for road extraction from Google map images. In Proceedings of the Third International Conference on Information and Communication Technology for Embedded Systems (ICICTES2012) [CD-ROM], 22-24 March 2012, Bangkok, Thailand, 6 p.
  • Mudcharoen, A. and Makhanov, S. S. (2011). Postprocessor and optimization of rotations for six-axis machining with sequencing technique, Applied Mechanics and Materials: selected, peer reviewed papers from the 2nd International Conference on Mechanical and Aerospace Engineering (ICMAE 2011) [CD-ROM], 29-31 July 2011, Bangkok, Thailand, Vols. 110-116 (2012), pp. 5167-5172.
  • Duanggate, C.; Uyyanonvara, B.; Makhanov, S. S.; Barman, S. and Williamson, T. (2011). Drusen Detection based on Scale-space with Feature Stability. In Proceedings of Medical Image Understanding and Analysis 2011 (MIUA-2011), 14-15 July 2011, King's College, London, U.K. pp. 317-321.
  • Chucherd, S. and S.S. Makhanov (2011). Multiresolution phase portrait analysis for segmentation of ultrasound images for detection of breast cancer. In International MultiConference of Engineers and Computer Scientists (IMECS 2011), Hong Kong. 16-18 March 2011, pp. 460-465.
  • Inthajak, K., Duanggate C., Uyyanonvara B., Makhanov, S. S., Barman, S., and Williamson T. (2010). Variable size blob detection with feature stability. In Proceedings of the 3rd Biomedical Engineering International Conference (BMEiCON 2010), 27-28 August 2010, Kyoto, Japan, pp. 133-137.
  • Duanggate, C., K. Inthajak, B. Uyyanonvara, S. S. Makhanov, S. Barman, and T. Williamson (2010). Automatic optic disc detection for ROP images using scale-space theory. In Proceedings of the International Conference on Embedded Systems and Intelligent Technology (ICESIT 2010), 5-7 February 2010, Chiang Mai, Thailand. 5 p.
  • Rodtook, A. and S.S. Makhanov (2009). New gradient vector flow field for segmentation of breast tumors in ultrasound images. In Proceedings MASCOT-2008, IMACS series in Computational and Applied Mathematics, Vol. 14, 2009, pp. 137-146.
  • Duanggate, C., B. Uyyanonvara, S. S. Makhanov, and S. Barman (2009). Enhanced support region for scale-space blob detection. In Proceedings of the 2nd International Conference on Robotics, Informatics, and Intelligent Technology (RIIT2009), 11-14 December 2009, Bangkok, Thailand. pp. 1-5.
  • Anotaipaiboon, W. and S. S. Makhanov (2009). A review of tool path optimization methods for five-axis machining. In Proceedings of the International Symposium on Engineering, Energy and Environment (ISEEE), 26-27 November 2009, Rayong, Thailand. pp. 430-439.
  • Munlin, M. and S. S. Makhanov (2009). Iterative shortest path angle sequencing for five-axis machining. InProceedings of the 7th International Conference on Manufacturing Research 2009 (ICMR09), 8-10 September 2009, Coventry, UK. pp. 80-84.
  • Makhanov, S.S. (2008). Mathematical methods for optimization of cutting operations of 5-axis milling machines. In Proceedings of the 13th Asian Technology Conference in Mathematics, 15-19 December 2008, Bangkok, Thailand. pp. 121-130.
  • Marikhu, R., M. N. Dailey, S.S. Makhanov, and K. Honda (2007). A family of quadratic snakes for road extraction, Lecture Notes in Computer Science, Vol. 4843/2007, pp. 85-94. (Also presented at the 8th Asian Conference on Computer Vision (ACCV 2007), 18-22 November 2007, Tokyo, Japan)
  • Makhanov, S. S., R. Marikhu, and M. N. Dailey (2007). Cooperating quadratic snakes for extraction of roads from satellite images. In Proceedings of the 7th Meeting on Applied Scientific Computing and Tools Grid Generation, Approximation and Visualization (MASCOT 07), 13-14 September 2007, Roma, Italy. pp. 121-130.
  • Nakaguro, Y., M. Dailey and S. S. Makhanov (2007). Slam with klt point features. In Proceedings of the International Workshop on Advanced Image Technology (IWAIT 2007) [CD-ROM], 8-9 January 2007, Bangkok, Thailand. pp. 262-267.
  • Makhanov, S.S. (2006). Space-filling curves in adaptive curvilinear coordinates for computer numerically controlled five-axis machining. In Proceedings of the 6th Meeting on Applied Scientific Computing and Tools Grid Generation, Approximation and Visualization (MASCOT 06), 5 -7 October 2006, Roma, Italy, pp. 131-138.
  • Rodtook, A. and S.S. Makhanov (2006). Selection of multiresolution rotationally invariant moments for image recognition. In Proceedings of the 6th Meeting on Applied Scientific Computing and Tools Grid Generation, Approximation and Visualization (MASCOT 06), 5-7 October 2006, Roma, Italy, p. 199-208.
  • Rodtook, A. and S.S. Makhanov (2006). Apriori data mining on rotationally invariant multiresolutional moments for pattern recognition. In Proceedings of 9th Joint Conference on Information Science (JCIS2006): 7th International Conference on Image Vision, Pattern Recognition and Image Processing (CVPRIP2006) [CD-ROM], 8-11 October 2006, Kaohsiung, Taiwan. 6 p.
  • Makhanov, S.S. (2006). Adaptable geometric patterns for tool path optimization of five-axis milling machines. InProceedings of the International Workshop on Mechatronics 2006, 12-13 December 2006, Saraburi, Thailand. 6 p.
  • Makhanov, S.S., M. Munlin and E. Bohez (2005). Methods to optimize the tool path of the five axis milling machine developed by the SIIT-AIT research group “5 Axis Thai”, in Proceedings of the 4th Asian Conference on Industrial Automation and Robotics (ACIAR 2005) [CD-ROM], 11-13 May 2005, Bangkok, Thailand, 4 p.
  • Makhanov, S.S. and M. Munlin (2005). Five algorithms to optimize and correct the tool path of the five-axis milling machine, In Proceedings ECTI-2005, Thailand, May 2005.
  • Charmjuree, T., B. Uyyanonvara, and S.S. Makhanov (2004). Infant retinal images optic disk detection using active contours. In Proceedings of the 2004 International Conference on Control, Automation and Systems (ICCAS 2004) [CD-ROM], 25-27 August 2004, Bangkok, Thailand, Paper No. WP06-01, pp. 312-316.
  • Munlin, M. and S.S. Makhanov (2004). Angle correction for five-axis milling near singularities. In Proceedings of the International Conference on Control, Automation, and Systems (ICCAS 2004) [CD-ROM], 25-27 August 2004, Bangkok, Thailand. pp. 869-874.
  • Munlin, M. and S.S. Makhanov (2004). Tool path generation, simulation and optimization of a five-axis milling machine. In Proceedings of the IEEE TENCON 2004 [CD-ROM], 21-24 November 2004, Chiang Mai, Thailand. pp. D609-D612.
  • Rodtook, S. and S.S. Makhanov (2004). Pattern recognition with rotation invariant multiresolution features. InProceedings of the 2004 International Conference on Control, Automation and Systems (ICCAS 2004) [CD-ROM], 25-27 August 2004, Bangkok, Thailand, Paper No. TP03-6, pp. 1057-1060.
  • Rodtook, S. and S.S. Makhanov (2004). Rotationally invariant filter bank for pattern recognition. In Proceedings of the IEEE TENCON 2004 [CD-ROM], 21-24 November 2004, Chiang Mai, Thailand. pp. 128-131.
  • Rodtook, S. and S.S. Makhanov (2003). On the accuracy of the rotation invariant wavelet-based moments applied to recognize traditional Thai musical instruments, Lecture Notes in AI (Subseries of Lecture Notes in Computer Science), Proceedings 7th International Conference, KES 2003, “Knowledge based Intelligent Information Systems”, Oxford, UK, September 2003, Part I, pp.498-414.
  • Nuanyaisrithong, N., N. Chermjutidham, J. Chalidabhongse and S.S. Makhanov (2003). Dynamic programming with threshold applied to optimize rotations of a five axis milling machine. In ACIAR 2003, Bangkok, May 8-9, 2003.
  • Rodtook, S. and S.S. Makhanov (2003) Accuracy analysis of rotation invariant moments applied to recognize traditional Thai music instruments. Proceedings ACIAR2003, Bangkok May 8-9, 2003.
  • Munlin, M. S. S. Makhanov and E. Bohez (2003). Optimization of rotations near stationary points of a five-axis milling machine. Proceedings 19th Conference CAR-FOF 2003, Malaysia.
  • Anotaipaiboon, W. and S.S. Makhanov (2003). Tool path generation for 5-axis NC machining using space filling curves. Proceedings ACIAR2003, Bangkok, May 2003.
  • Rodtook, S. and S.S. Makhanov (2001). Fuzzy C-mean spectral analysis applied to recognize moving noisy objects. In Proceedings of the Second International Conference on Intelligent Technologies, InTech’ 2001, November 27-29, 2001, Faculty of Science and Technology, Assumption University, Bangkok, Thailand.
  • Munlin, M.-A. and S. S. Makhanov (2001). A software for simulation of inverse kinematics of a 5-axis milling machine. In Proceedings 16 International Conference on Production Research, Prague 29 July-3 August, 2001.
  • Makhanov, S.S., S. A. Ivanenko and M.-A. Munlin (2001). Simulation and optimization of cutting operations of a 5 axis milling machine. In Proceedings, MASCOT/01 Meeting on Applied Scientific Computing: Grid Generation, Approximated Solutions and Visualization, Roma, October 21-23, 2001, Instituto per le Applicazioni Del Calcolo.
  • Makhanov, S.S. (2001). Harmonic mapping as applied to optimize the tool path of a 5-axis milling machine. InProceedings. 16 Int. Conference on Production Research, Prague 29 July-3 August, 2001.
  • Makhanov, S.S. (2001). Optimization of the tool path of a five axis milling machine by constructing discrete harmonic maps. In Proceedings ASIAR 2001, Bangkok, May 17-18, 2001.
  • Wongwirat, O., S.S. Makhanov and S. Ohara (2000). Bounded delay performance analysis for distributed multimedia applications under shared virtual environment. Proceedings 2000 Third IEEE International Conference on Devices, Circuits and Systems, Cancun, Mexico, March 15-17, 2000 (IEEE catalog number 00TH84474).
  • Makhanov, S.S. and S.A. Ivanenko (2000). Grid generation as a new concept of CNC-based part optimization. In Proceedings. IMACS Word Congress on Computational Mathematics and Simulations, Switzerland 21-25 August, 2000.
  • Makhanov, S.S. and A. Yu. Semenov (2000). Numerical schemes for non-linear parabolic equations with a priory bounded solution. In Proceedings. IMACS Word Congress on Computational Mathematics and Simulations, Switzerland 21-25 August, 2000.
  • Makhanov, S.S., E. Bohez, M. Munlin and R. Apiwatwaja (2000). Grid generation as a new concept to construct a system of mathematical models for tool-path optimization. In Proceedings 5th International Conf. Computer Integrated Manufact., Singapore, 28-30 March 2000, Vol. 2, pp. 925-936.
  • Munlin, M.-A. and S.S. Makhanov (2000). Constraint-based simulation of a 5-axis milling machine. InProceedings International Conference on Production Research, Bangkok, Thailand, August 2-4, 2000 (the full paper on the CD-ROM), http://www.ise.ait.ac.th/icpr-2000
  • Rodtook, S. and S.S. Makhanov (2000). A new adaptive multistage filter for the removal of impulse noise, InProceedings International Conf. InTech’ 2000, Bangkok, December 15-18, pp. 417-421.
  • Makhanov, S.S. (1999). Flood modeling in east Bangkok. In Proceedings Civil and Environmental Eng. Conf., New Frontiers & Challenges, 8 -12 November, 1999, Bangkok, Vol. 5 (Part I) Water Engineering and Management, pp. 111-120.
  • Makhanov, S.S., S. Vannarkairojn and S. Kondo (1999). A new blur identification scheme. In Proceedings of IEEE Region 10 conference, Multimedia Technology for Asia-Pacific Information Infrastructure, TENCON, Cheju-Korea, September 15-17, 1999, Vol. II, pp. 1315-1318.
  • Makhanov, S.S., K. Sonthipaumpoon and S. Vannakrairojn (1999). Variational gridding algorithms to optimize a tool-path of a five-axis milling machine. In Proceedings 1998 IEEE Asia Pacific Conf. on Circuits and Systems: Microelectronics and Integration Systems, November 24-27, 1998, Chaingmai, Thailand, pp. 515-518.
  • Bohez, E., S.S. Makhanov and K. Sonthipaumpoon (1999). Adaptive non-linear tool-path optimization for 5-axis machining. Proceedings the 15th International Conf. on Production Research, 9-12 August, 1999, University of Limerick, Ireland, pp. 109-113.
  • Batanov, D., E. Bohez, S.S. Makhanov, K. Sonthipermpoon and M.T. Tabucanon (1999). Grid generation algorithms to optimize a tool-path of a five-axis milling machine. In Proceedings of First Asian Symp. on Industrial Automation and Robotics, 6-7 May, 1999, Bangkok, pp. 61-66, Asian Institute of Technology, Thailand.
  • Makhanov, S.S. and A.Yu. Semenov (1998). New numerical methods for non-linear parabolic boundary-value problems with a priory bounded solution. In Proceedings Fourth Eccomas Comp. Fluid Dynamics Conference, September 7-11, 1998, Athens Greece.
  • Makhanov, S.S. and A.Yu.Semenov (1998).Numerical methods for non-linear parabolic boundary- value problems with a priory bounded solution. In Proceedings IV National Congress of the SIMAI-Societa' Italiana di Mathematica Applicata e Industriale, June 1-5, 1998, Giardini Naxos, Me, Italy.
  • Makhanov, S.S. and A.Yu. Semenov (1997). Class of non-negative numerical methods and its applications to open flow modeling. In Proceedings Gen. Phys. Institute, Russian Academy of Science, Moscow, PhysMatLit, Vol. 53, 1997, pp. 55-74 (in Russian).
  • Batanov, D., E. Bohez, S.S.Makhanov, K. Sonthipermpoon and M.T. Tabucanon (1997). A curvilinear grid adaptation technique applied to tool-path planning of a five-axis milling machine. In Proceedings of 4th International Conference On Computer Integrated Manufacturing, 21-24 October, 1997, Singapore, Vol. 2, pp. 1351-1356.
  • Vanderperre, E.J., S. Vannakrairojn and S.S. Makhanov (1997). Stochastic behavior of a robot-safety device system. In Proceedings of 2nd International Workshop on Computer Cooperative Work in Design, 26-28 November, 1997, Bangkok.
  • Makhanov, S.S. and K. Sonthipaumpoon (1997). A new approach to tool path planning of a five-axis milling machine. In Proceedings of 2nd International Workshop on Computer Cooperative Work in Design, 26-28 November, 1997, Bangkok.
  • Hungspreaug, S., S.Vannakrairojn, S.S. Makhanov, S.Sangchan, and P. Mekpruksawong (1997). A new two-dimensional model of flooding in East Bangkok. In Proceedings 7th ICID International Drainage Workshop, 17-21 November 1997, Penang, Malaysia,Vol. 3, pp. T15.1-T15.6.
  • Semenov, A.Yu and S.S. Makhanov (1997). Non-negative methods for open flows modeling. Proceedings Third Mississippi State Conference on Differential Equations and Computational Simulations, May 16-17, 1997, USA. Mississippi State Univ., pp. 31-32.
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