Robotics, Image processing, Pattern Recognition, Grid generation.
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.
Medical Image Processing
Image processing has revolutionized the modern medicine. 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. 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.
Grid Generation Technologies
Grid generation techniques emerged as a sub-discipline of Computational Fluid Dynamics in the early seventies. Nowadays grid generators are among the major components employed by versatile codes in Geometrical Modeling, Computer Graphics, CAD/CAM, Structural Analysis, Aerodynamics and Computational Fluid Dynamics. However, in spite of considerable efforts and a long time spent on curvilinear and moving grid generation, the theoretical principles have not been yet established. Grid generation today is still much more of an art than a science. Since many different approaches exist and are being used, creative craftsmen are needed to operate the various packages. Therefore, from an industrial point of view, issues surrounding efficient implementation, interactive, graphical user interface, visualization and software engineering in grid generation are of paramount importance.
|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.|
|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.|
|Current||: Chadaporn Keatmanee. 3D Segmentation for Medical Images.|
|Current||: Aaiza Gul. Nano-fluids in Biomedicine.|
|Current||: Ademola Ilesanmi. Medical Image Processing.|
|Current||: Nalan Karunanayake. Artificial Life for Image Segmentation.|
|Current||: Ashan Eranga. Five-axis Machining of Medical Implants.|