THAWEESAK TRONGTIRAKUL
Thaweesak Trongtirakul, D. Eng. in Electronics and Telecommunication, is an assistance professor of Electrical Power Engineering at Faculty of Industrial Education, Rajamangala University of Technology Phra Nakhon (RMUTP). Prior to joining RMUTP, Thaweesak was a visiting scientist at College of Staten Island and the Graduate Center, City University of New York (CUNY). Thaweesak received his M.Eng. in Instrumentation Engineering from King Mongkut's Institute of Technology Ladkrabang in May 2011 and his D.Eng in Electrical and Information Engineering from King Mongkut's University of Technology Thonburi in July 2020.
Scholar Interests: Thaweesak's interdisciplinary research has evolved from industrial mathematics to engineering; and from applied signal/image/video processing to data analytics and industrial applications. His research interests are in Image Analytics, Computational and Machine Visions, Remote Sensing, Image Visualization Systems, and Algorithms. He has special interests in programming and formulating in visual content-examine images for textures, texts, objects, and other image-based contents; and in the development of scientific systems and architectures in the practice of electrical and electronic engineering (emphasizing complex digital data processing, information sciences and systems technologies in the military, as well as medical and industrial information processing centers).
Collaborations: Dr. Trongtirakul together with Distinguished Prof. Dr. Agaian's Research Team have been developing mathematical models for practical imaging applications in Healthcare, Signal Processing, 3D Imaging Visible and Thermal Sensing, Computational Algorithms, Needs-Driven Medical and Biomedical Technology, and Other Related Fields.
Degrees
Doctor of Engineering in Electrical and Information Engineering, King's Mongkut's University of Technology Thonburi (KMUTT)
Master of Engineering in Instrumentation Engineering, King's Mongkut's Inistitute of Technology Lad Krabang (KMITL)
Bachelor of Engineering in Electrical Power Engineering (Honor Degree), Rajamangala University of Technology Phra Nakhon (RMUTP), Thailand
Contact Information
Office : Faculty of Industrial Education, Room 503
Phone : +662-665-3777; Ext. 7131
+662-665-3888; Ext. 7131
Fax : +662-628-5205
Skype: thaweesak.tr@outlook.co.th
Address: Faculty of Industrial Education, Dept. of Electrical Engineering
399 Samsen Rd., Wachira Phayaban, Dusit, Bangkok, Thailand, 10300
Journal Papers
A. Oulefki, Y. Himeur, T. Trongtirakul et al., "Detection and Analysis of Deteriorated Areas in Solar PV Modules using Unsupervised Sensing Algorithms and 3D Augmented Reality," Heliyon, vol. 9, pp. e27973, 2024.
T. Trongtirakul, S. Agaian, and S. Wu, “Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain,” IEEE Access, vol. 11, pp. 143936-143947, 18 December 2023.
T. Trongtirakul, S. Agaian, and A, Oulefki, “Accurate Tumor Segmentation in Thermograms Breast Images,” Mathematical Biosciences and Engineering, vol. 20, no. 9, pp. 16786-16806, August 2023.
T. Trongtirakul, S. Agaian, A, Oulefki, and K. Panetta, “Method for remote sensing oil spill applications over thermal and polarimetric imagery,” IEEE Journal of Oceanic Engineering, vol. 48, no. 3, pp. 973-987, July 2023.
S. Parakul, K. Jaitong, P. Songsri, and T. Trongtirakul, “Determination of motor efficiency in air condensing unit using thermal image analytics in case the degradation of capacitance,” Journal of Energy and Environment Technology of Graduate School Siam Technology College, vol. 9, no. 2, pp. 50-61, 13 December 2022.
T. Trongtirakul, and S. Agaian, "Unsupervised and Optimized Thermal Image Quality Enhancement and Visual Surveillance Application," Signal Processing: Image Communication, pp. 116714, 20 April 2022, doi: 10.1016/j.image.2022.116714.
T. Trongtirakul, and S. Agaian, "Weighted Histogram Equalization Using Entropy of Probability Density Function," Thailand Electrical Engineering Journal, vol. 2, no.1 pp. 10-13.
A. Oulefki, S. Agaian, T. Trongtirakul, S. Benbelkacem, D. Aouam, N. Z. Henda, and M. L. Abdelli, "Virtual Reality Visualization for Computerized COVID-19 Lesion Segmentation and Interpretation," Biomedical Signal Processing and Control, vol. 73, pp. 103371, 2022.
S. Benbelkacem, A. Oulefki, S. Agaian, N. Zenati-Henda, T. Trongtirakul, D. Aouam, M. Masmoudi, and M. Zemmouri, "COVI3D Automatic COVID-19 CT Image-Based Classification and Visualization Platform Utilizing Virtual and Augmented Reality Technologies," Diagnostics, vol. 12, no. 3, 649, doi: 10.3390/diagnostics12030649.
A. Oulefki, S. Agaian, T. Trongtirakul, and A. K. Laouar, “Automatic COVID-19 Lung Infected Region Segmentation and Measurement Using CT-Scans Images,” Pattern Recognition, vol. 114, pp. 1-13, June 2021. (Most Cited Articles)
T. Trongtirakul, W. Chiracharit, and S. Agaian, "Single Backlit Image Enhancement," IEEE Access, vol. 8, no. 1, pp. 71940-71950, 13 April 2020.
T. Trongtirakul, W. Chiracharit, S. Imberman, and S. Agaian, "Fractional Contrast Stretching for Image Enhancement of Aerial and Satellite Images," Journal of Imaging Science and Technology, vol. 63, no. 6, pp. 60411-1-60411-11, 1 Nov 2019.
Conference Papers
Thaweesak Trongtirakul, Sos S. Agaian, Khalifa Djemal, Amir Ali Feiz, and Sheli Chaudhuri, "Unveiling Hidden Marine Debris: Unsupervised Enhancement of SAR Images Using Multilevel Enhancement (EME)," Proc. SPIE 13033, Multimodal Image Exploitation and Learning 2024, 130330C (8 June 2024); https://doi.org/10.1117/12.3023215.
Thaweesak Trongtirakul, Sos Agaian, Shiqian Wu, Khalifa Djemal, Amir Ali Feiz, and Sheli Chaudhuri, "Adaptive Logarithmic Retinex Enhancement for Iceberg Detection in Visible Imagery," Proc. SPIE 13033, Multimodal Image Exploitation and Learning 2024, 1303302 (7 June 2024); https://doi.org/10.1117/12.3012987.
T. Trongtirakul, and S. Agaian, "New Retinex model-based infrared image enhancement", Proc. SPIE 12526, Multimodal Image Exploitation and Learning 2023 , 1252606, 15 June 2023, doi: 10.1117/12.2661334.
T. Trongtirakul, and S. Agaian, "Transmission map optimization for single image dehazing", Proc. SPIE 12100, Multimodal Image Exploitation and Learning 2022, 121000C, 27 May 2022, doi: 10.1117/12.2621831.
T. Trongtirakul, K. Pusorn and U. Peerawanichkul, "Computer simulation-based learning: student self-efficacy during COVID-19 outbreak," 7th International STEM Education Conference (iSTEM-Ed), pp. 1-4, 2022.
T. Trongtirakul, and S. Agaian, "Adaptive inertia weight particle swarm algorithm for optimized hyperspectral image enhancement", Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021, 1173403, 12 April 2021.
S. Benbelkacem, A. Oulefki, S. Agaian, T. Trongtirakul, D. Aouam, N. Z. Henda, and K. Amara "Lung infection region quantification, recognition, and virtual reality rendering of CT scan of COVID-19", Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021, 117340I, 12 April 2021.
T. Trongtirakul, A. Oulefki, S. Agaian, and W. Chiracharit, "Enhancement and segmentation of breast thermograms," Proc. SPIE 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020, 113990F, 21 April 2020.
A. Oulefki, T. Trongtirakul, S. Agaian, and W. Chiracharit, "Detection and visualization of oil spill using thermal images," Proc. SPIE 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020, 113990L, 21 April 2020.
T. Trongtirakul, W. Chiracharit, and S. Agaian, "Color Restoration of Multispectral Images Near-Infrared (NIR) filter-to-Color (RGB) image," Proc. IS&T International Symposium on Electronic Imaging 2020, Image Processing: Algorithms and Systems XVIII, vol. 2020, pp. 180-1-180-5, 26 January 2020.
T. Trongtirakul, D. Ladyzhensky, W. Chiracharit, and S. Agaian, "Non-linear contrast stretching with optimizations," Proc. SPIE, Mobile Multimedia/Image Processing, Security, and Applications 2019, 1099303, 13 May 2019.
R. Rajendran, T. Trongtirakul, K. Panetta, and S. Agaian, "A pixel-based color transfer system to recolor nighttime imagery," Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930N, 13 May 2019.
T. Trongtirakul, and N. Phanthuna, "Contrast Enhancement Using Bi-Histogram Equalization via 2-D Discrete Wavelet Transform", EENET 2014, vol.1, pp 873 – 876, Mar. 2014.
T. Trongtirakul, and N. Phanthuna, "Image Enhancement Using Weighted Bi-Histogram Equalization", WSEAS in System, Control, Signal Processing and Informatics, vol.1, pp 345 – 348, 2013.
N. Phanthuna, T. Trongtirakul, and et al., "Mean Brightness Preserving in Sub-Region Sharpening via Histogram Equalization", IEEE Conference on Machine Vision, Hong Kong, 2010.
N. Phanthuna, T. Trongtirakul, and et al., "Whiteness Detection of Industrial Plastic Pellets", ECTI Conference on Application Research and Development, 2010.
T. Trongtirakul, and N. Phanthuna, "Improvement Program for Heat Balance Analysis Fuel to Steam Efficiency", WSEAS Conference on Electronics, Hardware, Wireless, Optical Communications, vol. 2, no. 3, pp. 69 – 76, 2008.
Professional Activities
Program Committee, SPIE in Multimodal Image Exploitation and Learning 2025
Technical Program Committee, The 2nd Asia Conference on Advances in Image Processing (AAIP) 2024
Program Committee, SPIE in Multimodal Image Exploitation and Learning 2024
Scientific Committee, The 1st International Conference on Electronics Engineering, Technology of Telecommunications Advanced Applications (2ETA 2023)
Scientific Committee, The 1st International Conference on Renewable Solutions for Ecosystems towards a Sustainable Energy Transition (ICRSEtoSET 2023)
Program Committee, SPIE in Multimodal Image Exploitation and Learning 2023
Program Committee, SPIE in Multimodal Image Exploitation and Learning 2022
Technical Program Co-Chairs, international STEM Education Conference (iSTEM-Ed)
Program Committee, The 44th Electrical Engineering Conference (EECON 44)
Grants
Project Title: Low-Light Image Enhancement Algorithm Based on Adaptive Multi-Scaled Retinex Theory
Funded by: The Coordinating Center for Thai Government Science and Technology Scholarship Students (CSTS), National Science and Technology Development
Agency (NSTDA), Ministry of Higher Education, Science, Research, and Innovation under grant no. JRA-CO-2565-17450-TH
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